Ching‐Hsien Hsu
- Computer Networks and Communications top 0.2%
- Information Systems top 0.1%
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Shangguang WangGunasekaran ManogaranFangchun YangYali ZhaoYeh‐Ching ChungJie YuanAo ZhouBrij B. Gupta
- Topics
- IoT and Edge/Fog Computing (73 papers)Cloud Computing and Resource Management (66 papers)Distributed and Parallel Computing Systems (49 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Ching‐Hsien Hsu
249 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computer Networks and Communications 3.2k
- Information Systems 2.3k
- Artificial Intelligence 1.2k
- Electrical and Electronic Engineering 1.1k
- Computer Vision and Pattern Recognition 674
Countries citing papers authored by Ching‐Hsien Hsu
This map shows the geographic impact of Ching‐Hsien Hsu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ching‐Hsien Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Hsien Hsu more than expected).
Fields of papers citing papers by Ching‐Hsien Hsu
This network shows the impact of papers produced by Ching‐Hsien Hsu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ching‐Hsien Hsu. The network helps show where Ching‐Hsien Hsu may publish in the future.
Co-authorship network of co-authors of Ching‐Hsien Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Hsien Hsu. A scholar is included among the top collaborators of Ching‐Hsien Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ching‐Hsien Hsu. Ching‐Hsien Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 15 | |
| 5 | 24 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 91 | |
| 10 | 35 | |
| 11 | 29 | |
| 12 | 56 | |
| 13 | 51 | |
| 14 | Implementation of a Virtualized Cluster Computing Environment | 1 |
| 15 | 32 | |
| 16 | 33 | |
| 17 | 12 | |
| 18 | Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II | 2 |
| 19 | 0 | |
| 20 | 1 |
About Ching‐Hsien Hsu
Ching‐Hsien Hsu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture, having authored 261 papers that have together received 5.8k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (73 papers), Cloud Computing and Resource Management (66 papers) and Distributed and Parallel Computing Systems (49 papers). The work is most often cited by research in Computer Networks and Communications (3.2k citations), Information Systems (2.3k citations) and Artificial Intelligence (1.2k citations). Ching‐Hsien Hsu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shangguang Wang, Gunasekaran Manogaran, Fangchun Yang, Yali Zhao, Yeh‐Ching Chung, Jie Yuan, Ao Zhou, Brij B. Gupta, Hao Wu and Priyan Malarvizhi Kumar. Their work appears in journals such as Scientific Reports, The Journal of Organic Chemistry and IEEE Access.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.