| Big Data and cloud computing: innovation opportunities and challenges C Yang, Q Huang, Z Li, K Liu, F Hu International Journal of Digital Earth 10 (1), 13-53, 2017 | 1022 | 2017 |
| Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing? C Yang, M Goodchild, Q Huang, D Nebert, R Raskin, Y Xu, M Bambacus, ... International Journal of Digital Earth 4 (4), 305-329, 2011 | 486 | 2011 |
| Geographic situational awareness: mining tweets for disaster preparedness, emergency response, impact, and recovery Q Huang, Y Xiao ISPRS international journal of geo-information 4 (3), 1549-1568, 2015 | 330 | 2015 |
| Using Twitter for tasking remote-sensing data collection and damage assessment: 2013 Boulder flood case study G Cervone, E Sava, Q Huang, E Schnebele, J Harrison, N Waters International Journal of Remote Sensing 37 (1), 100-124, 2016 | 242 | 2016 |
| Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us? Q Huang, D Wong International Journal of Geographic Information Science, 2016 | 210 | 2016 |
| Understanding social media data for disaster management Y Xiao, Q Huang, K Wu Natural hazards 79, 1663-1679, 2015 | 201 | 2015 |
| LSTM-TrajGAN: A deep learning approach to trajectory privacy protection J Rao, S Gao, Y Kang, Q Huang arXiv preprint arXiv:2006.10521, 2020 | 162 | 2020 |
| Using spatial principles to optimize distributed computing for enabling the physical science discoveries C Yang, H Wu, Q Huang, Z Li, J Li Proceedings of the National Academy of Sciences 108 (14), 5498-5503, 2011 | 154 | 2011 |
| 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 | 150 | 2020 |
| Modeling and visualizing regular human mobility patterns with uncertainty: An example using Twitter data Q Huang, DWS Wong Annals of the Association of American Geographers 105 (6), 1179-1197, 2015 | 118 | 2015 |
| 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 | 111 | 2020 |
| Spatial cloud computing: a practical approach C Yang, Q Huang CRC Press, 2013 | 110 | 2013 |
| A cloud-enabled automatic disaster analysis system of multi-sourced data streams: An example synthesizing social media, remote sensing and Wikipedia data Q Huang, G Cervone, G Zhang Computers, Environment and Urban Systems 66, 23-37, 2017 | 84 | 2017 |
| A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura S Zhou, P Kan, Q Huang, J Silbernagel Journal of Information Science 49 (2), 465-479, 2023 | 79 | 2023 |
| High-performance computing for the simulation of dust storms J Xie, C Yang, B Zhou, Q Huang Computers, Environment and Urban Systems 34 (4), 278-290, 2010 | 74 | 2010 |
| Evaluating open-source cloud computing solutions for geosciences Q Huang, C Yang, K Liu, J Xia, C Xu, J Li, Z Gui, M Sun, Z Li Computers & Geosciences 59, 41-52, 2013 | 70 | 2013 |
| 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 |
| Patch similarity convolutional neural network for urban flood extent mapping using bi-temporal satellite multispectral imagery B Peng, Z Meng, Q Huang, C Wang Remote Sensing 11 (21), 2492, 2019 | 66 | 2019 |
| Utilize cloud computing to support dust storm forecasting Q Huang, C Yang, K Benedict, S Chen, A Rezgui, J Xie International Journal of Digital Earth, 2012 | 66 | 2012 |
| Building Model as a Service to support geosciences Z Li, C Yang, Q Huang, K Liu, M Sun, J Xia Computers, Environment and Urban Systems 61, 141-152, 2017 | 59 | 2017 |
Chaowei Phil YangProfessor of GIScience, George Mason UniversityOverená e-mailová adresa na: gmu.edu
