Min Shi
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Artificial Intelligence
- Aerospace Engineering
- Plant Science
- Co-authors
- Zhiguo CaoHao LüChengxin LiuFeng ChenKe XianTianqi LiuQing WangLaurent Li
- Topics
- Advanced Vision and Imaging (6 papers)Human Pose and Action Recognition (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceFrontiers in Plant ScienceComputers and Electronics in Agriculture
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Min Shi
22 papers receiving 159 citations
Peers
Comparison fields: 5 of 43
- Computer Vision and Pattern Recognition 115
- Media Technology 32
- Artificial Intelligence 25
- Aerospace Engineering 18
- Plant Science 17
Countries citing papers authored by Min Shi
This map shows the geographic impact of Min 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 Min Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Shi more than expected).
Fields of papers citing papers by Min Shi
This network shows the impact of papers produced by Min 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 Min Shi. The network helps show where Min Shi may publish in the future.
Co-authorship network of co-authors of Min Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Min Shi. A scholar is included among the top collaborators of Min 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 Min Shi. Min 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 45 | |
| 15 | 29 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 5 | |
| 20 | 3 |
About Min Shi
Min Shi is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 24 papers that have together received 163 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Human Pose and Action Recognition (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Media Technology (32 citations) and Computer Graphics and Computer-Aided Design (11 citations). Min Shi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhiguo Cao, Hao Lü, Chengxin Liu, Feng Chen, Ke Xian, Tianqi Liu, Qing Wang, Laurent Li, Guoliang Zhao and Wenhui Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Plant Science and Computers and Electronics in Agriculture.
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.