| Remote sensing big data computing: Challenges and opportunities Y Ma, H Wu, L Wang, B Huang, R Ranjan, A Zomaya, W Jie Future Generation Computer Systems 51, 47-60, 2015 | 681 | 2015 |
| pipsCloud: High performance cloud computing for remote sensing big data management and processing L Wang, Y Ma, J Yan, V Chang, AY Zomaya Future Generation Computer Systems 78, 353-368, 2018 | 217 | 2018 |
| Towards building a data-intensive index for big data computing–a case study of remote sensing data processing Y Ma, L Wang, P Liu, R Ranjan Information Sciences 319, 171-188, 2015 | 88 | 2015 |
| A cloud-based remote sensing data production system J Yan, Y Ma, L Wang, KKR Choo, W Jie Future Generation Computer Systems 86, 1154-1166, 2018 | 81 | 2018 |
| A parallel file system with application-aware data layout policies for massive remote sensing image processing in digital earth L Wang, Y Ma, AY Zomaya, R Ranjan, D Chen IEEE Transactions on Parallel and Distributed Systems 26 (6), 1497-1508, 2014 | 78 | 2014 |
| Towards enabling cyberinfrastructure as a service in clouds L Wang, D Chen, Y Hu, Y Ma, J Wang Computers & Electrical Engineering 39 (1), 3-14, 2013 | 78 | 2013 |
| Task-tree based large-scale mosaicking for massive remote sensed imageries with dynamic dag scheduling Y Ma, L Wang, AY Zomaya, D Chen, R Ranjan IEEE Transactions on Parallel and Distributed Systems 25 (8), 2126-2137, 2013 | 70 | 2013 |
| Energy-efficient deadline scheduling for heterogeneous systems Y Ma, B Gong, R Sugihara, R Gupta Journal of Parallel and Distributed Computing 72 (12), 1725-1740, 2012 | 67 | 2012 |
| Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation Y Ma, L Chen, P Liu, K Lu Computing 98 (1-2), 7-33, 2016 | 57 | 2016 |
| Big data integration in remote sensing across a distributed metadata-based spatial infrastructure J Fan, J Yan, Y Ma, L Wang Remote Sensing 10 (1), 7, 2018 | 47 | 2018 |
| Towards building a multi‐datacenter infrastructure for massive remote sensing image processing W Zhang, L Wang, D Liu, W Song, Y Ma, P Liu, D Chen Concurrency and Computation: Practice and Experience 25 (12), 1798-1812, 2013 | 36 | 2013 |
| The BIM-enabled geotechnical information management of a construction project J Zhang, C Wu, Y Wang, Y Ma, Y Wu, X Mao Computing 100 (1), 47-63, 2018 | 35 | 2018 |
| A review of parallel computing for large-scale remote sensing image mosaicking L Chen, Y Ma, P Liu, J Wei, W Jie, J He Cluster Computing 18 (2), 517-529, 2015 | 35 | 2015 |
| Cloud Computing in Remote Sensing L Wang, J Yan, Y Ma CRC Press, 2019 | 33 | 2019 |
| Parallel processing of massive remote sensing images in a GPU architecture P Liu, T Yuan, Y Ma, L Wang, D Liu, S Yue, J Kołodziej computing and informatics 33 (1), 197-217, 2014 | 32 | 2014 |
| Distributed data structure templates for data‐intensive remote sensing applications Y Ma, L Wang, D Liu, T Yuan, P Liu, W Zhang Concurrency and computation: practice and experience 25 (12), 1784-1797, 2013 | 32 | 2013 |
| A parallel nonlocal means algorithm for remote sensing image denoising on an Intel Xeon Phi platform F Huang, B Lan, J Tao, Y Chen, X Tan, J Feng, Y Ma IEEE Access 5, 8559-8567, 2017 | 27 | 2017 |
| Design and implementation of task scheduling strategies for massive remote sensing data processing across multiple data centers W Zhang, L Wang, Y Ma, D Liu Software: Practice and Experience 44 (7), 873-886, 2014 | 27 | 2014 |
| DDDAS-based parallel simulation of threat management for urban water distribution systems L Wang, D Chen, W Liu, Y Ma, Y Wu, Z Deng Computing in Science & Engineering 16 (1), 8-17, 2014 | 21 | 2014 |
| An optimized image mosaic algorithm with parallel io and dynamic grouped parallel strategy based on minimal spanning tree Y Wang, Y Ma, P Liu, D Liu, J Xie 2010 Ninth International Conference on Grid and Cloud Computing, 501-506, 2010 | 20 | 2010 |
