Min‐Chun Hu
- Computer Vision and Pattern Recognition top 2%
- Human-Computer Interaction top 1%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Developmental and Educational Psychology top 10%
- Co-authors
- Tse–Yu PanWen-Huang ChengJa‐Ling WuKun-Chan LanShih-Syun LinTong‐Yee LeeChe-Han ChangWen‐Cheng Chen
- Topics
- Human Pose and Action Recognition (28 papers)Video Analysis and Summarization (18 papers)Virtual Reality Applications and Impacts (14 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComplementary and alternative medicine
- Journals
- IEEE Transactions on Image ProcessingIEEE AccessIEEE Transactions on Intelligent Transportation Systems
- Partner nations
- TaiwanUnited StatesNetherlands
In The Last Decade
Min‐Chun Hu
80 papers receiving 920 citations
Peers
Comparison fields: 5 of 114
- Computer Vision and Pattern Recognition 504
- Human-Computer Interaction 251
- Biomedical Engineering 162
- Artificial Intelligence 121
- Developmental and Educational Psychology 96
Countries citing papers authored by Min‐Chun Hu
This map shows the geographic impact of Min‐Chun Hu'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‐Chun Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Chun Hu more than expected).
Fields of papers citing papers by Min‐Chun Hu
This network shows the impact of papers produced by Min‐Chun Hu. 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‐Chun Hu. The network helps show where Min‐Chun Hu may publish in the future.
Co-authorship network of co-authors of Min‐Chun Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Min‐Chun Hu. A scholar is included among the top collaborators of Min‐Chun Hu 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‐Chun Hu. Min‐Chun Hu 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 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 14 | |
| 14 | 4 | |
| 15 | 6 | |
| 16 | 38 | |
| 17 | 28 | |
| 18 | 2 | |
| 19 | 61 | |
| 20 | 76 |
About Min‐Chun Hu
Min‐Chun Hu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 92 papers that have together received 950 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (28 papers), Video Analysis and Summarization (18 papers) and Virtual Reality Applications and Impacts (14 papers). The work is most often cited by research in Human-Computer Interaction (251 citations), Computer Vision and Pattern Recognition (504 citations) and Complementary and alternative medicine (85 citations). Min‐Chun Hu has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Tse–Yu Pan, Wen-Huang Cheng, Ja‐Ling Wu, Kun-Chan Lan, Shih-Syun Lin, Tong‐Yee Lee, Che-Han Chang, Wen‐Cheng Chen, Chi-Wen Chen and Hung‐Kuo Chu. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and IEEE Transactions on Intelligent Transportation Systems.
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.