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 | 1024 | 2017 |
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 | 250 | 2017 |
A graph-based approach to detecting tourist movement patterns using social media data F Hu, Z Li, C Yang, Y Jiang Cartography and Geographic Information Science 46 (4), 368-382, 2019 | 90 | 2019 |
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 | 85 | 2019 |
A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce Z Li, F Hu, JL Schnase, DQ Duffy, T Lee, MK Bowen, C Yang International Journal of Geographical Information Science 31 (1), 17-35, 2017 | 82 | 2017 |
ClimateSpark: An in-memory distributed computing framework for big climate data analytics F Hu, C Yang, JL Schnase, DQ Duffy, M Xu, MK Bowen, T Lee, W Song Computers & Geosciences 115, 154-166, 2018 | 60 | 2018 |
Automatic scaling hadoop in the cloud for efficient process of big geospatial data Z Li, C Yang, K Liu, F Hu, B Jin ISPRS International Journal of Geo-Information 5 (10), 173, 2016 | 46 | 2016 |
Evaluating the open source data containers for handling big geospatial raster data F Hu, M Xu, J Yang, Y Liang, K Cui, MM Little, CS Lynnes, DQ Duffy, ... ISPRS International Journal of Geo-Information 7 (4), 144, 2018 | 39 | 2018 |
Multi‐agent‐based simulation on technology innovation‐diffusion in China Z Wang, Z Yao, G Gu, F Hu, X Dai Papers in Regional Science 93 (2), 385-409, 2014 | 36 | 2014 |
Towards intelligent geospatial data discovery: a machine learning framework for search ranking Y Jiang, Y Li, C Yang, F Hu, EM Armstrong, T Huang, D Moroni, ... International journal of digital earth 11 (9), 956-971, 2018 | 31 | 2018 |
A high performance query analytical framework for supporting data-intensive climate studies Z Li, Q Huang, GJ Carbone, F Hu Computers, Environment and Urban Systems 62, 210-221, 2017 | 29 | 2017 |
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 | 28 | 2017 |
A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data F Hu, C Yang, Y Jiang, Y Li, W Song, DQ Duffy, JL Schnase, T Lee International Journal of Digital Earth 13 (3), 410-428, 2020 | 23 | 2020 |
Building spatiotemporal cloud platform for supporting GIS application WW Song, BX Jin, SH Li, XY Wei, D Li, F Hu ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 22 | 2015 |
SOVAS: a scalable online visual analytic system for big climate data analysis Z Li, Q Huang, Y Jiang, F Hu International Journal of Geographical Information Science 34 (6), 1188-1209, 2020 | 18 | 2020 |
A smart web-based geospatial data discovery system with oceanographic data as an example Y Jiang, Y Li, C Yang, F Hu, EM Armstrong, T Huang, D Moroni, ... ISPRS International Journal of Geo-Information 7 (2), 62, 2018 | 18 | 2018 |
Introduction to GIS programming and fundamentals with Python and ArcGIS® C Yang CRC Press, 2017 | 17 | 2017 |
FastSeq: Make Sequence Generation Faster Y Yan, F Hu, J Chen, N Bhendawade, T Ye, Y Gong, N Duan, D Cui, B Chi, ... Proceedings of the Joint Conference of the 59th Annual Meeting of the …, 2021 | 16 | 2021 |
A Hadoop-based distributed framework for efficient managing and processing big remote sensing images C Wang, F Hu, X Hu, S Zhao, W Wen, C Yang ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2015 | 15 | 2015 |
Efficient LiDAR point cloud data managing and processing in a hadoop-based distributed framework C Wang, F Hu, D Sha, X Han ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 13 | 2017 |