Manzhu Yu
Cited by
Cited by
Big data in natural disaster management: a review
M Yu, C Yang, Y Li
Geosciences 8 (5), 165, 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
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
Spatial cloud computing: a practical approach
C Yang, Q Huang
CRC Press, 2013
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
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
International Journal of Digital Earth 12 (11), 1230-1247, 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
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
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
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
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
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
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, 327-351, 2015
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
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
Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services
J Xia, C Yang, K Liu, Z Li, M Sun, M Yu
International Journal of Geographical Information Science 29 (3), 375-396, 2015
Leveraging LSTM for rapid intensifications prediction of tropical cyclones.
Y Li, R Yang, C Yang, M Yu, F Hu, Y Jiang
ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences 4, 2017
A cloud-based framework for large-scale log mining through Apache Spark and elasticsearch
Y Li, Y Jiang, J Gu, M Lu, M Yu, EM Armstrong, T Huang, D Moroni, ...
Applied Sciences 9 (6), 1114, 2019
A 3D multi-threshold, region-growing algorithm for identifying dust storm features from model simulations
M Yu, C Yang
International Journal of Geographical Information Science 31 (5), 939-961, 2017
Developing subdomain allocation algorithms based on spatial and communicational constraints to accelerate dust storm simulation
Z Gui, M Yu, C Yang, Y Jiang, S Chen, J Xia, Q Huang, K Liu, Z Li, ...
PloS one 11 (4), e0152250, 2016
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