Muhammad Bilal，国籍：巴基斯坦，1985.01-，教授/博士，博士生导师。江苏省“特聘教授”， 气象与大气科学领域单项排名世界前2%科学家（2019 年，美国斯坦福大学），在顶级 SCI (E) 期刊上发表论文 100 多篇，Publons – Web of Science认证的“顶级同行评审员”。
（1）教育经历：
香港理工大学土地测量与地理信息学系，中国香港
气象学系，COMSATS 大学伊斯兰堡，巴基斯坦
巴基斯坦拉合尔旁遮普大学空间科学系
（2）工作经历：
教授（2017 年 10 月至 2022 年 9 月）
南京信息工程大学, 南京 210044
研究助理（2017 年 5 月 - 2017 年 9 月）
香港理工大学土地测量与地理信息学系，中国香港
博士后（2014年3月-2017年5月）
香港理工大学土地测量与地理信息学系，中国香港
研究助理（2013 年 8 月至 2014 年 1 月）
香港理工大学土地测量与地理信息学系，中国香港
管理员（2014 年 6 月至 2017 年 5 月）| PolyU AERONET（气溶胶机器人网络）
操作员（2011 年 1 月至 2012 年 12 月）| PolyU AERONET（气溶胶机器人网络）
（2）研究兴趣
（4）承担课程：
《Selected Topics in Remote Sensing Application》
（5）获奖情况：
2019 年美国斯坦福大学（2020 年 10 月）单年度气象和大气科学世界科学家排名前 2%
中国江苏省教育厅特聘教授称号（2018年10月）
最佳同行评审奖（2017、2018 和 2019 年）
香港博士香港研究资助局奖学金计划 (2010/2011)（2010 年 7 月至 2013 年 7 月）
香港中文大学优秀研究论文奖（2013年10月）
巴基斯坦伊斯兰堡 COMSATS 大学 MS 优异奖学金（2008 年 9 月至 2010 年 3 月）
巴基斯坦旁遮普大学优秀奖学金（2005、2006 和 2007 年）
（5）学术兼职：
特刊 |亚洲大气气溶胶遥感：方法和应用II | MDPI 遥感（截止日期：2023 年 5 月 15 日）
特刊 |大气污染的卫星和现场观测| MDPI 遥感（截止日期：2023 年 4 月 30 日）
特刊 |亚洲大气气溶胶的遥感：方法和应用MDPI 遥感（截止日期：2021 年 9 月 30 日）
（6）科研情况：
首席研究员 |江苏省教育厅江苏省特聘教授专项（批准号R2018T22）
共同负责人 | Kind Khalid大学研究能力资助（Grant No. RGP2/54/40）
参与者 |使用卫星遥感监测空气质量（授权号 1-ZVFD）
参与者 |城市化区域细颗粒物的多传感器监测与预测（批准号 B-Q23L）
参与者 |一种利用遥感的香港和珠江地区无缝气溶胶反演算法（Grant No. G-YL45）
参与者 |现代城市人为热通量的遥感（Grant No. G-YM85）
参与者 |使用遥感和动态模型对香港和珠江三角洲进行温度预测（授权号 B-Q37Y）
参与者 |高层紧凑型城市的通风（Grant No. E-RD47）
（7）代表性论文：
2022 年[IF: 7.545]
1. Bilal, M., Mhawish, A., Ali, M.A., Nichol, J.E., Leeuw, G.d., Khedher, K.M., Mazhar, U., Qiu, Z.*,
Bleiweiss, M.P., & Nazeer, M. (2022). Integration of Surface Reflectance and Aerosol Retrieval Algorithms for Multi-Resolution Aerosol Optical Depth Retrievals over Urban Areas. Remote Sensing, 14 (IF 4.848)
2. Zhang, Z., Su, B., Chen, Y., Lan, J., Bilal, M.*, Pan, M., Ilyas, S., & Khedher, K.M. (2022). Study on Vertically Distributed Aerosol Optical Characteristics over Saudi Arabia Using CALIPSO Satellite Data. Applied Sciences, 12 (IF 2.697)
2021 年[IF: 150.243]
1. Shi Y*, Lau A K-H, Ng E, Ho H-C, & Bilal M. 2021. A Multiscale Land Use Regression Approach for Estimating Intraurban Spatial Variability of PM2.5 Concentration by Integrating Multisource Datasets. International Journal of Environmental Research and Public Health, 19(1). doi:10.3390/ijerph19010321 (IF: 3.39)
2. Mustafa, F., Bu, L., Wang, Q., Yao, N., Shahzaman, M., Bilal, M., Aslam, R.W., & Iqbal, R. (2021). Neural-network-based estimation of regional-scale anthropogenic CO2 emissions using an Orbiting Carbon Observatory-2 (OCO-2) dataset over East and West Asia. Atmospheric Measurement Techniques, 14, 7277-7290 (IF: 4.176)
3. Ali, A., Bilal, M., Wang, Y., Qiu, Z., Nichol, J.E., de Leeuw, G., Ke, S., Mhawish, A., Almazroui, M., Mazhar, U., Asmerom Habtemicheal, B., & Nazrul Islam, M. (2021). Evaluation and comparison of CMIP6 models and MERRA-2 reanalysis AOD against Satellite observations from 2000 to 2014 over China. Geoscience Frontiers (IF: 6.853)
4. Wahiduzzaman, M., Ali, M.A., Luo, J.-J., Wang, Y., Uddin, M.J., Shahid, S., Islam, A.R.M.T., Mondal, S.K., Siddiki, U.R., Bilal, M., Qiu, Z., Dambul, R., Eibek, K., & Haque, M.E. (2021). Effects of convective available potential energy, temperature and humidity on the variability of thunderstorm frequency over Bangladesh. Theoretical and Applied Climatology (IF: 3.179)
5. Ettehadi Osgouei, P., Roberts, G., Kaya, S., Bilal, M., Dash, J., & Sertel, E. (2022). Evaluation and comparison of MODIS and VIIRS aerosol optical depth (AOD) products over regions in the Eastern Mediterranean and the Black Sea. Atmospheric Environment, 268 (IF: 4.798)
6. Alriah, M.A.A., Bi, S., Shahid, S., Nkunzimana, A., Ayugi, B., Ali, A., Bilal, M., Teshome, A., Sarfo, I., & Elameen, A.M. (2021). Summer monsoon rainfall variations and its association with atmospheric circulations over Sudan. Journal of Atmospheric and Solar-Terrestrial Physics, 225 (IF: 1.735)
7. Ali, S., Cheema, M.J.M., Waqas, M.M., Waseem, M., Leta, M.K., Qamar, M.U., Awan, U.K., Bilal, M., & Rahman, M.H.u. (2021). Flood Mitigation in the Transboundary Chenab River Basin: A Basin-Wise Approach from Flood Forecasting to Management. Remote Sensing, 13(19), 3916 (IF: 4.848)
8. Wang, Y., Ali, M.A., Bilal, M., Qiu, Z., Mhawish, A., Almazroui, M., Shahid, S., Islam, M.N., Zhang, Y., & Haque, M.N. (2021). Identification of NO2 and SO2 Pollution Hotspots and Sources in Jiangsu Province of China. Remote Sensing, 13 (IF: 4.848)
9. Bilal, M., Mhawish, A., Nichol, J.E., Qiu, Z., Nazeer, M., Ali, M.A., de Leeuw, G., Levy, R.C., Wang, Y., Chen, Y., Wang, L., Shi, Y., Bleiweiss, M.P., Mazhar, U., Atique, L., & Ke, S. (2021). Air pollution scenario over Pakistan: Characterization and ranking of extremely polluted cities using long-term concentrations of aerosols and trace gases. Remote Sensing of Environment, 264 (IF: 10.164)
10. Qin, W., Fang, H., Wang, L., Wei, J., Zhang, M., Su, X., Bilal, M., & Liang, X. (2021). MODIS high-resolution MAIAC aerosol product: Global validation and analysis. Atmospheric Environment, https://doi.org/10.1016/j.atmosenv.2021.118684 (IF: 4.798)
11. Shahzaman M, Zhu W, Ullah I, Mustafa F, Bilal M, Ishfaq S, Nisar S, Arshad M, Iqbal R, Aslam RW (2021). Comparison of Multi-Year Reanalysis, Models, and Satellite Remote Sensing Products for Agricultural Drought Monitoring over South Asian Countries. Remote Sensing, 13(16):3294. https://doi.org/10.3390/rs13163294 (IF: 4.848)
12. Wang, Y., Ali, M.A., Bilal, M., Qiu, Z., Ke, S., Almazroui, M., Islam, M.M., & Zhang, Y. (2021). Identification of Aerosol Pollution Hotspots in Jiangsu Province of China. Remote Sensing, 13 (IF: 4.848)
13. Hamadalnel, M., Zhu, Z., Lu, R., Shahid, S., Ali, M.A., Abdalla, I., Elkanzi, M., Bilal, M., & Bleiweiss, M.P. (2021). Spatio-temporal Investigations of Monsoon Precipitation and Its Historical and Future Trend over Sudan. Earth Systems and Environment
14. Javed, Z., Tanvir, A., Bilal, M., Su, W., Xia, C., Rehman, A., Zhang, Y., Sandhu, O., Xing, C., Ji, X., Xie, M., Liu, C., & Wang, Y. (2021). Recommendations for HCHO and SO2 Retrieval Settings from MAX-DOAS Observations under Different Meteorological Conditions. Remote Sensing, 13 (IF: 4.848)
15. Chen, Y., Weng, Q., Tang, L., Liu, Q., Zhang, X., & Bilal, M. (2021). Automatic mapping of urban green spaces using a geospatial neural network. GIScience & Remote Sensing, 58, 624-642 (IF: 6.328)
16. Mazhar, U., Jin, S., Bilal, M., Arfan Ali, M., & Khan, R. (2021). Reduction of surface radiative forcing observed from remote sensing data during global COVID-19 lockdown. Atmos Res, 261, 105729 (IF: 5.369)
17. Shahid, M.Z.; Chishtie, F.; Bilal, M.; Shahid, I. (2021). "WRF-Chem Simulation for Modeling Seasonal Variations and Distributions of Aerosol Pollutants over the Middle East" Remote Sens. 13, no. 11: 2112. (IF: 4.848)
18. Shahzaman, M.; Zhu, W.; Bilal, M.; Habtemicheal, B.A.; Mustafa, F.; Arshad, M.; Ullah, I.; Ishfaq, S.; Iqbal, R. 2021. "Remote Sensing Indices for Spatial Monitoring of Agricultural Drought in South Asian Countries" Remote Sens. 13, no. 11: 2059 (IF: 4.848)
19. Bilal, M., Qiu, Z., Nichol, J.E., Mhawish, A., Ali, M.A., Khedher, K.M., de Leeuw, G., Yu, W., Tiwari, P., Nazeer, M., & Bleiweiss, M.P. (2021). Uncertainty in Aqua-MODIS Aerosol Retrieval Algorithms During COVID-19 Lockdown. IEEE Geoscience and Remote Sensing Letters, 1-5 (IF: 3.966)
20. Berdimbetov, T., Ilyas, S., Ma, Z., Bilal, M., & Nietullaeva, S. (2021). Climatic Change and Human Activities Link to Vegetation Dynamics in the Aral Sea Basin Using NDVI. Earth Systems and Environment
21. Abuelgasim, A., Bilal, M.*, & Alfaki, I.A. (2021). Spatiotemporal variations and long term trends analysis of aerosol optical depth over the United Arab Emirates. Remote Sensing Applications: Society and Environment, 23
22. Mhawish, A., Sorek-Hamer, M., Chatfield, R., Banerjee, T., Bilal, M. Kumar, M., Sarangi, C., Franklin, M., Chau, K., Garay, M., & Kalashnikova, O. (2021). Aerosol Characteristics from Earth Observation Systems: A Comprehensive Investigation over South Asia (2000-2019). Remote Sensing of Environment, (IF: 10.164)
23. Jonah, K., Wen, W., Shahid, S., Ali, M.A., Bilal, M. Habtemicheal, B.A., Iyakaremye, V., Qiu, Z., Almazroui, M., Wang, Y., Joseph, S.N., & Tiwari, P. (2021). Spatiotemporal variability of rainfall trends and influencing factors in Rwanda. Journal of Atmospheric and Solar-Terrestrial Physics (IF: 1.735)
24. Shi, Y., Ren, C., Luo, M., Ching, J., Li, X., Bilal, M. Fang, X., & Ren, Z. (2021). Utilizing world urban database and access portal tools (WUDAPT) and machine learning to facilitate spatial estimation of heatwave patterns. Urban Climate, 36 (IF: 5.731)
25. Mustafa, F., Wang, H., Bu, L., Wang, Q., Shahzaman, M., Bilal, M. Zhou, M., Iqbal, R., Aslam, R.W., Ali, M.A., & Qiu, Z. (2021). Validation of GOSAT and OCO-2 against In Situ Aircraft Measurements and Comparison with CarbonTracker and GEOS-Chem over Qinhuangdao, China. Remote Sensing, 13 (IF: 4.848)
26. Su, X., Wang, L., Zhang, M., Qin, W., & Bilal, M. (2021). A High-Precision Aerosol Retrieval Algorithm (HiPARA) for Advanced Himawari Imager (AHI) data: Development and verification. Remote Sensing of Environment, 253 (IF: 10.164)
27. Sharma, V., Ghosh, S., Bilal, M. Dey, S., & Singh, S. (2021). Performance of MODIS C6.1 Dark Target and Deep Blue aerosol products in Delhi National Capital Region, India: Application for aerosol studies. Atmospheric Pollution Research, 12, 65-74 (IF: 4.352)
28. Qiu, Z., Ali, M.A., Nichol. J.E., Bilal, M.*, Tiwari, P., Habtemicheal, A.A., Almazroui, M., Mondol, S.K., Mazhar, U., Wang, Y., Sarker, S., Mustafa, F., Rahman, M.A. (2021). Spatio-temporal Investigations of Multi-sensor air pollution data over Bangladesh during COVID-19 lockdown. Remote Sensing (IF: 4.848)
29. Su, B., Wu, D., Zhang, M., Bilal, M.*, Li, Y., Li, B.L., Atique, L., and Zhang, Z. (2021). Spatio-temporal Characteristics of PM2.5, PM10, and AOD over the Central Line Project of China’s South-North Water Diversion in Henan Province (China). Atmosphere (IF: 2.686)
30. Tanvir, A., Javed, Z., Jian, Z., Zhang, S., Bilal, M. Xue, R., Wang, S., & Bin, Z. (2021). Ground-Based MAX-DOAS Observations of Tropospheric NO2 and HCHO During COVID-19 Lockdown and Spring Festival Over Shanghai, China. Remote Sensing, 13 (IF: 4.848)
31. Mazhar, U., Jin, S., Duan, W., Bilal, M. Ali, M.A., & Farooq, H. (2021). Spatio-Temporal Trends of Surface Energy Budget in Tibet from Satellite Remote Sensing Observations and Reanalysis Data. Remote Sensing, 13 (IF: 4.848)
32. Nazeer, M., Ilori, C.O., Bilal, M.*, Nichol, J.E., Wu, W., Qiu, Z., & Gayene, B.K. (2020). Evaluation of atmospheric correction methods for low to high resolutions satellite remote sensing data. Atmospheric Research, 249 (IF: 5.369)
33. Huan, Y., Sun, D., Wang, S., Zhang, H., Qiu, Z., Bilal, M. & He, Y. (2021). Remote sensing estimation of phytoplankton absorption associated with size classes in coastal waters. Ecological Indicators, 121 (IF: 4.958)
2020年 [IF: 121.046]
1. Ali, M.A., Nichol, J.E., Bilal, M.*, Qiu, Z., Mazhar, U., Wahiduzzaman, M., Almazroui, M., & Islam, M.N. (2020). Classification of aerosols over Saudi Arabia from 2004–2016. Atmospheric Environment (IF: 4.798)
2. Huan, Y., Deyong, S., Shengqiang, W., Bilal, M. Hailong, Z., Zhongfeng, Q., & Yijun, H. (2020).Phytoplankton “Missing” Absorption in Marine Waters: A Novel Pigment Compensation Model for the Packaging Effect. Journal of Geophysical Research: Oceans (IF: 3.405)
3. Chen, Y., Weng Q., Tang, L., Zhang, X., Bilal, M. & Li, Q. (2020). Thick Clouds Removing From Multitemporal Landsat Images Using Spatiotemporal Neural Networks. IEEE Transactions on Geoscience and Remote Sensing, 1-14 (IF: 5.600)
4. Feng, J., Chen, H., Zhang, H., Li, Z., Yu, Y., Zhang, Y., Bilal, M. & Qiu, Z. (2020). Turbidity Estimation from GOCI Satellite Data in the Turbid Estuaries of China’s Coast. Remote Sensing, 12 (IF: 4.848)
5. Zhang, M., Wu, D., Su, B., Bilal, M.*, Li, Y., & Li, B.L. (2020). Spatio-Temporal Characteristics of PM2.5, PM10, and AOD over Canal Head Taocha Station, Henan Province. Remote Sensing, 12 (IF: 4.848)
6. Fan, Z., Zhan, Q., Yang, C., Liu, H., & Bilal, M. (2020). Estimating PM2.5 Concentrations Using Spatially Local Xgboost Based on Full-Covered SARA AOD at the Urban Scale. Remote Sensing, 12 (IF: 4.848)
7. Zhang, Z., Zhang, M., Bilal, M.*, Su, B., Zhang, C., & Guo, L. (2020). Comparison of MODIS- and CALIPSO-Derived Temporal Aerosol Optical Depth over Yellow River Basin (China) from 2007 to 2015. Earth Systems and Environment
8. Wahiduzzaman, M., Yeasmin, A., Luo, J.-J., Ali, M.A., Bilal, M. & Qiu, Z. (2020). Statistical Approach to Observe the Atmospheric Density Variations Using Swarm Satellite Data. Atmosphere, 11 (IF: 2.686)
9. Mustafa, F., Bu, L., Wang, Q., Ali, M.A., Bilal, M. Shahzaman, M., & Qiu, Z. (2020). Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia. Remote Sensing, 12 (IF: 4.848)
10. Arshad, M., Khedher, K.M., Ayed, H., Mouldi, A., Moghanm, F.S., El Ouni, M.H., Benkahla, N., Laatar, E., Bilal, M. & Abdel Zaher, M. (2020). Effects of land use and cultivation histories on the distribution of soil organic carbon stocks in the area of the Northern Nile Delta in Egypt. Carbon Management, 11, 341-354 (IF: 3.182)
11. Zhang, M., Su, B., Nazeer, M., Bilal, M.*, Qi, P., & Han, G. (2020). Climatic Characteristics and Modeling Evaluation of Pan Evapotranspiration over Henan Province, China. Land, 9 (IF: 3.395)
12. Shi, Y., Bilal, M.*, Ho, H.C., & Omar, A. (2020). Urbanization and regional air pollution across South Asian developing countries – A nationwide land use regression for ambient PM2.5 assessment in Pakistan. Environmental Pollution, 266 (IF: 8.071)
13. Zhang, M., Su, B., Bilal, M.*, Atique, L., Usman, M., Qiu, Z., Ali, M.A., & Han, G. (2020). An Investigation of Vertically Distributed Aerosol Optical Properties over Pakistan Using CALIPSO Satellite Data. Remote Sensing, 12 (IF: 4.848)
14. Nichol, J.E., Bilal, M.*, Ali, M.A., & Qiu, Z. (2020). Air Pollution Scenario over China during COVID-19. Remote Sensing, 12 (IF: 4.848)
15. Su, B., Li, H., Zhang, M., Bilal, M.*, Wang, M., Atique, L., Zhang, Z., Zhang, C., Han, G., Qiu, Z., & Ali, M.A. (2020). Optical and Physical Characteristics of Aerosol Vertical Layers over Northeastern China. Atmosphere, 11 (IF: 2.686)
16. Zhang, M., Liu, J., Bilal, M.*, Zhang, C., Nazeer, M., Atique, L., Han, G., & Gong, W. (2020). Aerosol Optical Properties and Contribution to Differentiate Haze and Haze-Free Weather in Wuhan City. Atmosphere, 11 (IF: 2.686)
17. Qin, W., Wang, L., Gueymard, C.A., Bilal, M. Lin, A., Wei, J., Zhang, M., & Yang, X. (2020). Constructing a gridded direct normal irradiance dataset in China during 1981–2014. Renewable and Sustainable Energy Reviews, 131 (IF: 14.982)
18. Mhawish, A., Banerjee, T., Sorek-Hamer, M., Bilal, M. Lyapustin, A.I., Chatfield, R., & Broday, D.M. (2020). Estimation of High-Resolution PM2.5 over the Indo-Gangetic Plain by Fusion of Satellite Data, Meteorology, and Land Use Variables. Environ Sci Technol, 54, 7891-7900 (IF: 9.028)
19. Nazeer, M., Bilal, M. Nichol, J.E., Wu, W., Alsahli, M.M.M., Shahzad, M.I., & Gayen, B.K. (2020). First Experiences with the Landsat-8 Aquatic Reflectance Product: Evaluation of the Regional and Ocean Color Algorithms in a Coastal Environment. Remote Sensing, 12 (IF: 4.848)
20. Chen, Y., Tang, L., Kan, Z., Bilal, M. & Li, Q. (2020). A novel water body extraction neural network (WBE-NN) for optical high-resolution multispectral imagery. Journal of Hydrology, 588 (IF: 5.722)
21. Fan, W., Qin, K., Cui, Y., Li, D., & Bilal, M. (2020). Estimation of Hourly Ground-Level PM2.5 Concentration Based on Himawari-8 Apparent Reflectance. IEEE Transactions on Geoscience and Remote Sensing, 1-10 (IF: 5.600)
22. Wang, S., Mao, Y., Zheng, L., Qiu, Z., Bilal, M. & Sun, D. (2020). Remote sensing of water turbidity in the Eastern China Seas from Geostationary Ocean Colour Imager. International Journal of Remote Sensing, 41, 4080-4101 (IF: 3.151)
23. Chen, Y., Tang, L., Kan, Z., Latif, A., Yang, X., Bilal, M. & Li, Q. (2020). Cloud and Cloud Shadow Detection Based on Multiscale 3D-CNN for High Resolution Multispectral Imagery. IEEE Access, 8, 16505-16516 (IF: 3.367)
24. Chen, Y., Tang, L., Yang, X., Fan, R., Bilal, M. & Li, Q. (2020). Thick Clouds Removal From Multitemporal ZY-3 Satellite Images Using Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 143-153 (IF: 3.784)
25. Chen, Y., Tang, L., Yang, X., Bilal, M. & Li, Q. (2020). Object-based multi-modal convolution neural networks for building extraction using panchromatic and multispectral imagery.Neurocomputing, 386, 136-146 (IF: 5.719)
2019 年[IF: 52.055]
1. Bilal, M. Nichol, J.E., Nazeer, M., Shi, Y., Wang, L., Kumar, K.R., Ho, H.C., Mazhar, U., Bleiweiss, M.P., Qiu, Z., Khedher, K.M., & Lolli, S. (2019). Characteristics of Fine Particulate Matter (PM2.5) over Urban, Suburban, and Rural Areas of Hong Kong. Atmosphere, 10 (IF: 2.686)
2. Bilal, M. Nazeer, M., Nichol, J.E., Bleiweiss, M.P., Qiu, Z., Jäkel, E., Campbell, J.R., Atique, L., Huang, X., & Lolli, S. (2019). A Simplified and Robust Surface Reflectance Estimation Method (SREM) for Use over Diverse Land Surfaces Using Multi-Sensor Data. Remote Sensing, 11 (IF: 4.848)
3. Bilal, M. Nazeer, M., Nichol, J.E., Qiu, Z., Wang, L., Bleiweiss, M.P., Shen, X., Campbell, J.R., & Lolli, S. (2019). Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014. Remote Sensing, 11, 486 (IF: 4.848)
4. Zhang, M., Liu, J., Bilal, M.*, Zhang, C., Zhao, F., Xie, X., & Khedher, K.M. (2019). Optical and Physical Characteristics of the Lowest Aerosol Layers over the Yellow River Basin. Atmosphere, 10 (IF: 2.686)
5. Zhang, M., Liu, J., Li, W., Bilal, M.*, Zhao, F., Zhang, C., Yuan, B., & Khedher, K.M. (2019). Evaluation of the Aqua-MODIS C6 and C6.1 Aerosol Optical Depth Products in the Yellow River Basin, China. Atmosphere, 10, 426 (IF: 2.686)
6. Xie, Y., Wang, Y., Bilal, M.*, & Dong, W. (2019). Mapping daily PM2.5 at 500m resolution over Beijing with improved hazy day performance. Sci Total Environ, 659, 410-418 (IF: 7.963)
7. Chu and Bilal, M.* (2019). PM2.5 mapping using integrated geographically temporally weighted regression (GTWR) and random sample consensus (RANSAC) models. Environmental Science and Pollution Research, 26 (2), 1902-1910 (IF: 4.223)
8. Sun, D., Lai, W., Wang, S., Huan, Y., Bilal, M. Qiu, Z., & He, Y. (2019). Synoptic relationships to estimate phytoplankton communities specific to sizes and species from satellite observations in coastal waters. Opt Express, 27, A1156-A1172 (IF: 3.894)
9. Lazaar, A., Mahyou, H., Gholizadeh, A., Elhammouti, K., Bilal, M. Andich, K., Roger, J.M., Monir, A., & Kouotou, D. (2019). Potential of VIS-NIR spectroscopy to characterize and discriminate topsoils of different soil types in the Triffa plain (Morocco). Soil Science Annual, 70, 54-63
10. Rupakheti, D., Kang, S., Bilal, M. Gong, J., Xia, X., & Cong, Z. (2019). Aerosol optical depth climatology over Central Asian countries based on Aqua-MODIS Collection 6.1 data: Aerosol variations and sources. Atmospheric Environment, 207, 205-214 (IF: 4.798)
11. Tang, Q., Wang, S., Qiu, Z., Sun, D., & Bilal, M. (2019). Variability of the Suspended Particle Cross-Sectional Area in the Bohai Sea and Yellow Sea. Remote Sensing, 11 (IF: 4.848)
12. Karimi, N., Namdari, S., Sorooshian, A., Bilal, M. & Heidary, P. (2019). Evaluation and modification of SARA high-resolution AOD retrieval algorithm during high dust loading conditions over bright desert surfaces. Atmospheric Pollution Research, 10, 1005-1014 (IF: 4.352)
13. Shen, X., Bilal, M. Qiu, Z., Sun, D., Wang, S., & Zhu, W. (2019). Long-term spatiotemporal variations of aerosol optical depth over Yellow and Bohai Sea. Environ Sci Pollut Res, 26, 7969-7979 (IF: 4.223)
2018 年[IF: 77.085]
1. Bilal, M. Nazeer, M., Qiu, Z., Ding, X., & Wei, J. (2018a). Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces. Remote Sensing, 10 (IF: 4.848)
2. Bilal, M. Qiu, Z., Campbell, J.R., Spak, S., Shen, X., & Nazeer, M. (2018b). A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid. Remote Sensing, 10, 463 (IF: 4.848)
3. Nazeer, M. and Bilal, M.* (2018). Evaluation of Ordinary Least Square (OLS) and Geographically Weighted Regression (GWR) for water quality monitoring: a case study for the estimation of Salinity. Journal of Ocean University of China, 17 (2), 305-310 (IF: 0.913)
4. Wei, J., Sun, L., Peng, Y., Wang, L., Zhang, Z., Bilal, M. & Ma, Y. (2018). An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land. Journal of Geophysical Research: Atmospheres, 123, 12,291-212,307 (IF: 4.261)
5. Qiu, Z., Li, Z., Bilal, M. Wang, S., Sun, D., & Chen, Y. (2018). Automatic method to monitor floating macroalgae blooms based on multilayer perceptron: case study of Yellow Sea using GOCI images. Opt Express, 26, 26810-26829 (IF: 3.894)
6. Qin, K., Zou, J., Guo, J., Lu, M., Bilal, M. Zhang, K., Ma, F., & Zhang, Y. (2018). Estimating PM1 concentrations from MODIS over Yangtze River Delta of China during 2014–2017. Atmospheric Environment, 195, 149-158 (IF: 4.798)
7. Qin, W., Liu, Y., Wang, L., Lin, A., Xia, X., Che, H., Bilal, M. & Zhang, M. (2018). Characteristic and Driving Factors of Aerosol Optical Depth over Mainland China during 1980–2017. Remote Sensing, 10 (IF: 4.848)
8. Qin, W., Wang, L., Lin, A., Zhang, M., & Bilal, M. (2018). Improving the Estimation of Daily Aerosol Optical Depth and Aerosol Radiative Effect Using an Optimized Artificial Neural Network. Remote Sensing, 10 (IF: 4.848)
9. Chen, Y., Fan, R., Bilal, M. Yang, X., Wang, J., & Li, W. (2018). Multilevel Cloud Detection for High-Resolution Remote Sensing Imagery Using Multiple Convolutional Neural Networks. ISPRS International Journal of Geo-Information, 7 (IF: 2.899)
10. Mao, Y., Wang, S., Qiu, Z., Sun, D., & Bilal, M. (2018). Variations of transparency derived from GOCI in the Bohai Sea and the Yellow Sea. Optics Express, 26 (IF: 3.894)
11. Ho, H.C., Wong, M.S., Yang, L., Chan, T.C., & Bilal, M. (2018). Influences of socioeconomic vulnerability and intra-urban air pollution exposure on short-term mortality during extreme dust events. Environ Pollut, 235, 155-162 (IF: 8.071)
12. Shen, X., Bilal, M. Qiu, Z., Sun, D., Wang, S., & Zhu, W. (2018). Validation of MODIS C6 Dark Target Aerosol Products at 3 km and 10 km Spatial Resolutions Over the China Seas and the Eastern Indian Ocean. Remote Sensing, 10 (IF: 4.848)
13. Ho, H.C., Wong, M.S., Yang, L., Shi, W., Yang, J., Bilal, M. & Chan, T.C. (2018). Spatiotemporal influence of temperature, air quality, and urban environment on cause-specific mortality during hazy days. Environ Int, 112, 10-22 (IF: 9.621)
14. Wei, J., Sun, L., Huang, B., Bilal, M. Zhang, Z., & Wang, L. (2018). Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS. Atmospheric Environment, 175, 221-233 (IF: 4.798)
15. He, L., Wang, L., Lin, A., Zhang, M., Bilal, M. & Wei, J. (2018). Performance of the NPP-VIIRS and aqua-MODIS Aerosol Optical Depth Products over the Yangtze River Basin. Remote Sensing, 10, 117 (IF: 4.848)
16. Zhang, M., Wang, L., Bilal, M. Gong, W., Zhang, Z., & Guo, G. (2018). The Characteristics of the Aerosol Optical Depth within the Lowest Aerosol Layer over the Tibetan Plateau from 2007 to 2014. Remote Sensing, 10 (IF: 4.848)
2017年 [IF: 38.457]
1. Bilal, M.*, Nichol, J., & Wang, L. (2017). New customized methods for improvement of the MODIS C6 Dark Target and Deep Blue merged aerosol product. Remote Sensing of Environment, 197, 115–124 (IF: 10.164)
2. Bilal, M. Nazeer, M., & Nichol, J.E. (2017). Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters. Atmospheric Research, 186, 43-50 (IF: 5.369)
3. Bilal, M.*, & Nichol, J. (2017). Evaluation of the NDVI-Based Pixel Selection Criteria of the MODIS C6 Dark Target and Deep Blue Combined Aerosol Product. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 3448 – 3453 (IF: 3.784)
4. Bilal, M. Nichol, J., & Spak, S. (2017). A New Approach for Estimation of Fine Particulate Concentrations Using Satellite Aerosol Optical Depth and Binning of Meteorological Variables. Aerosol and Air Quality Research, 11, 356-367 (IF: 3.063)
5. Wei, J., Huang, B., Sun, L., Zhang, Z., Wang, L., & Bilal, M. (2017). A Simple and Universal Aerosol Retrieval Algorithm for Landsat Series Images Over Complex Surfaces. Journal of Geophysical Research: Atmospheres (IF: 4.261)
6. Nazeer, M., Bilal, M. Shahzad, M.I., Alsahli, M., & Waqas, A. (2017). Evaluation of Empirical and Machine Learning Algorithms for Estimation of Coastal Water Quality Parameters. ISPRS International Journal of Geo-Information, 6(11), 360, doi:10.3390/ijgi6110360 (IF: 2.899)
7. He, L., Wang, L., Lin, A., Zhang, M., Bilal, M. & Tao, M. (2017). Aerosol Optical Properties and Associated Direct Radiative Forcing over the Yangtze River Basin during 2001–2015. Remote Sensing, 9 (7), 746. (IF: 4.848)
8. Wang, L., Kisi, O., Hu, B., Bilal, M. Zounemat-Kermani, M., & Li, H. (2017). Evaporation modelling using different machine learning techniques. International Journal of Climatology, 37, 1076-1092 (IF: 4.069)
2013-2016年 [IF: 47.299]
1. Bilal, M. Nichol, J.E., & Nazeer, M. (2016). Validation of Aqua-MODIS C051 and C006 Operational Aerosol Products Using AERONET Measurements Over Pakistan. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 2074-2080 (IF: 3.784)
2. Nichol, J.E. and Bilal, M. (2016). Validation of MODIS 3 km Resolution Aerosol Optical Depth Retrievals over Asia, Remote Sensing, 8(4), 328, doi: 10.3390/rs8040328. (IF: 4.848)
3. Gong, J., Hu, Y., Liu, M., Bu, R., Chang, Y., Bilal, M. Li, C., Wu, W., & Ren, B. (2016). Land Use Regression Models Using Satellite Aerosol Optical Depth Observations and 3D Building Data from the Central Cities of Liaoning Province, China. Polish Journal of Environmental Studies, 25, 1015-1026 (IF: 1.699)
4. Zou, B., Pu, Q., Bilal, M. Weng, Q., Zhai, L., & Nichol, J.E. (2016). High-Resolution Satellite Mapping of Fine Particulates Based on Geographically Weighted Regression. IEEE Geoscience and Remote Sensing Letters, 13, 495-499 (IF: 3.966)
5. Sun, L., Wei, J., Bilal, M. Tian, X., Jia, C., Guo, Y., & Mi, X. (2016). Aerosol optical depth retrieval over bright areas using Landsat 8 OLI images. Remote Sensing (IF: 4.848)
6. Bilal, M. and Nichol, J.E. (2015). Evaluation of MODIS aerosol retrieval algorithms over the Beijing–Tianjin–Hebei region during low to very high pollution events, Journal of Geophysical Research-Atmosphere, 120, 7941–7957, doi: 10.1002/2015JD023082. (IF: 4.261)
7. Bilal, M. Nichol, J.E., & Chan, P.W. (2014). Validation and accuracy assessment of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing under low and high aerosol loadings and dust storms. Remote Sensing of Environment, 153, 50-60 (IF: 10.164)
8. Bilal, M. Nichol, J.E., Bleiweiss, M.P., & Dubois, D. (2013). A Simplified high resolution MODIS Aerosol Retrieval Algorithm (SARA) for use over mixed surfaces. Remote Sensing of Environment, 136, 135-145 (IF: 10.164)
9. Butt, M.J. and Bilal, M. (2011). Application of snowmelt runoff model for water resource management, Hydrological Processes, 25, 3735–3747 (IF: 3.565)
（8）参加会议：
1. Bilal M, Qiu Z*, Wang Y, & Ali M A. 2021. Comparison Between SREM and 6SV Atmospheric Correction Methods. In, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (pp. 1434-1436)
2. Lolli S*, Vivone G, Arienzo A, Garzelli A, Alparone L, Bilal M, Comerón A, Kassianov E I, Schäfer K, Picard R H, Weber K, & Singh U N. 2020. HEAD: a robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters. In, Remote Sensing of Clouds and the Atmosphere XXV
3. Lolli S*, Vivone G, Alparone L, Garzelli A, Bilal, M, Cimini D, Campbell J R, Welton E J, & Pappalardo G. 2019. High-Resolution Satellite Image Based Aerosol Optical Depth Retrieval Method: Validation Through EARLINET and NASA MPLNET Lidar Measurements and NASA AERONET Sunphotometer Data. In, 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) (pp. 3943-3947)
4. Lolli S*, Alparone L. Bilal M, Garzelli A, & Vivone G. 2018. High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy. In, Remote Sensing of Clouds and the Atmosphere XXIII
5. Bilal M, & Qiu Z*. 2018. Aerosol Retrievals Over Bright Urban Surfaces Using Landsat 8 Images. In, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 7560-7563)
6. Bilal M, & Qiu Z*. 2018b. Evaluation of Modis C6 Combined Aerosol Product at Global Scale. In, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 9126-9129)
7. Xiaojing S, Zhongfeng Q*, & Bilal, M. 2018. Validation of Modis Aerosol Optical Depth Over South China Sea. In, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium (pp. 9130-9133)
8. Bilal et al. (2014). Development and Validation of MODIS High-Resolution Simplified Aerosol retrieval algorithm (SARA). International Conference on Space, Islamabad, Pakistan, 12–14 November 2014.
9. Nichol, J E and Bilal, M. (2014). Validation of a Simplified Aerosol Retrieval Algorithm (SARA) over Beijing. The 35th Asian Conference on Remote Sensing, Nay Pyl Taw, 27–31 October 2014.
10. Nichol et al. (2014). Retrieval of Aerosol Optical Thickness (AOT) from urban Shadows using fine resolution Worldview-II images, Remote Sensing and Photogrammetry Society Annual Conference, Aberystwyth, 02–05 September 2014.
11. Bilal et al. (2012). Retrieving MODIS Aerosol Optical Depth in real time at 500 m resolution: urban–scale evaluation over Hong Kong. European Aerosol Conference (EAC), Granada, Spain, 02–07 September.
12. Bilal et al. (2011). MODIS Satellite Sensor Products Used for Snowmelt Runoff Modelling in Support of Water Resource Management, ISNET/RJGC workshop on Application of Satellite Technology in Water Resources Management, Amman, Jordan, 18–22 September.
13. Wong et al. (2011), Validation of MODIS, MISR, and OMI Aerosol Optical Thickness using ground-based Sunphotometers in Hong Kong, The Asia Oceania Geosciences Society – Remote Sensing Symposium, Taipei, Taiwan, 08–12 August.
