| Big data in natural disaster management: a review M Yu, C Yang, Y Li Geosciences 8 (5), 165, 2018 | 471 | 2018 |
| Utilizing cloud computing to address big geospatial data challenges C Yang, M Yu, F Hu, Y Jiang, Y Li Computers, environment and urban systems 61, 120-128, 2017 | 249 | 2017 |
| Deep learning for real-time social media text classification for situation awareness–using Hurricanes Sandy, Harvey, and Irma as case studies M Yu, Q Huang, H Qin, C Scheele, C Yang Social Sensing and Big Data Computing for Disaster Management, 33-50, 2020 | 151 | 2020 |
| Spatiotemporal impacts of COVID-19 on air pollution in California, USA Q Liu, JT Harris, LS Chiu, D Sun, PR Houser, M Yu, DQ Duffy, MM Little, ... Science of the Total Environment 750, 141592, 2021 | 130 | 2021 |
| Taking the pulse of COVID-19: A spatiotemporal perspective C Yang, D Sha, Q Liu, Y Li, H Lan, WW Guan, T Hu, Z Li, Z Zhang, ... International journal of digital earth 13 (10), 1186-1211, 2020 | 128 | 2020 |
| Spatiotemporal event detection: A review M Yu, M Bambacus, G Cervone, K Clarke, D Duffy, Q Huang, J Li, W Li, ... International Journal of Digital Earth 13 (12), 1339-1365, 2020 | 109 | 2020 |
| Spatial cloud computing: a practical approach C Yang, Q Huang CRC Press, 2013 | 108 | 2013 |
| Space-time patterns, change, and propagation of COVID-19 risk relative to the intervention scenarios in Bangladesh A Masrur, M Yu, W Luo, A Dewan International journal of environmental research and public health 17 (16), 5911, 2020 | 83 | 2020 |
| Big Earth data analytics: A survey C Yang, M Yu, Y Li, F Hu, Y Jiang, Q Liu, D Sha, M Xu, J Gu Big Earth Data 3 (2), 83-107, 2019 | 82 | 2019 |
| Enabling big geoscience data analytics with a cloud-based, MapReduce-enabled and service-oriented workflow framework Z Li, C Yang, B Jin, M Yu, K Liu, M Sun, M Zhan PloS one 10 (3), e0116781, 2015 | 78 | 2015 |
| A twitter data credibility framework—Hurricane Harvey as a use case J Yang, M Yu, H Qin, M Lu, C Yang ISPRS International Journal of Geo-Information 8 (3), 111, 2019 | 70 | 2019 |
| A service brokering and recommendation mechanism for better selecting cloud services Z Gui, C Yang, J Xia, Q Huang, K Liu, Z Li, M Yu, M Sun, N Zhou, B Jin PloS one 9 (8), e105297, 2014 | 67 | 2014 |
| Predicting hourly PM2. 5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model M Yu, A Masrur, C Blaszczak-Boxe Science of The Total Environment 860, 160446, 2023 | 56 | 2023 |
| Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment M Yu, F Xu, W Hu, J Sun, G Cervone IEEE Access 9, 2021 | 50 | 2021 |
| Big data and cloud computing Y Li, M Yu, M Xu, J Yang, D Sha, Q Liu, C Yang Manual of digital earth, 325-355, 2020 | 44 | 2020 |
| Contemporary computing technologies for processing big spatiotemporal data C Yang, M Sun, K Liu, Q Huang, Z Li, Z Gui, Y Jiang, J Xia, M Yu, C Xu, ... Space-Time Integration in Geography and GIScience: Research Frontiers in the …, 2015 | 39 | 2015 |
| Daytime rainy cloud detection and convective precipitation delineation based on a deep neural Network method using GOES-16 ABI images Q Liu, Y Li, M Yu, LS Chiu, X Hao, DQ Duffy, C Yang Remote Sensing 11 (21), 2555, 2019 | 30 | 2019 |
| Leveraging LSTM for rapid intensifications prediction of tropical cyclones Y Li, R Yang, C Yang, M Yu, F Hu, Y Jiang ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 28 | 2017 |
| Cloud, edge, and mobile computing for smart cities Q Liu, J Gu, J Yang, Y Li, D Sha, M Xu, I Shams, M Yu, C Yang Urban Informatics, 757-795, 2021 | 26 | 2021 |
| Deep learning-based downscaling of tropospheric nitrogen dioxide using ground-level and satellite observations M Yu, Q Liu Science of the Total Environment 773, 145145, 2021 | 24 | 2021 |
Chaowei Phil YangProfessor of GIScience, George Mason Universitygmu.edu의 이메일 확인됨