Hong Shi
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 5%
- Control and Systems Engineering top 10%
- Topics
- Distributed Control Multi-Agent Systems (20 papers)Rough Sets and Fuzzy Logic (12 papers)Data Mining Algorithms and Applications (8 papers)
- Cited by
- Computer Networks and CommunicationsComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hong Shi
56 papers receiving 618 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 352
- Artificial Intelligence 145
- Computer Vision and Pattern Recognition 113
- Computational Theory and Mathematics 93
- Control and Systems Engineering 92
Countries citing papers authored by Hong Shi
This map shows the geographic impact of Hong Shi'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 Hong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Shi more than expected).
Fields of papers citing papers by Hong Shi
This network shows the impact of papers produced by Hong Shi. 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 Hong Shi. The network helps show where Hong Shi may publish in the future.
Co-authorship network of co-authors of Hong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Shi. A scholar is included among the top collaborators of Hong Shi 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 Hong Shi. Hong Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 32 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | WebGIS System Oriented E-Business Applications | 1 |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 10 | |
| 19 | Research on Main Issues in Rough Sets and Its Application | 3 |
| 20 | 10 |
About Hong Shi
Hong Shi is a scholar working on Computer Networks and Communications, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 646 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (20 papers), Rough Sets and Fuzzy Logic (12 papers) and Data Mining Algorithms and Applications (8 papers). The work is most often cited by research in Computer Networks and Communications (352 citations), Computational Theory and Mathematics (93 citations) and Computer Vision and Pattern Recognition (113 citations). Hong Shi has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Long Wang, Tianguang Chu, Qinghua Hu, Jianhua Dai, Yahong Han, Shuang An, Jianwu Dang, Hu Hu, Minjie Xu and Xiaoqi Li. Their work appears in journals such as Scientific Reports, Energy and Pattern Recognition.
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.