Ming Fang
- Artificial Intelligence top 10%
- Experimental and Cognitive Psychology top 10%
- Computer Vision and Pattern Recognition
- Social Psychology
- Biomedical Engineering
- Co-authors
- Chih‐Cheng HungShuhua LiuYujia LiangXiujuan LeiBo LiaoFang‐Xiang WuMunawar HafizJianwei Zhao
- Topics
- Human Pose and Action Recognition (6 papers)AI in cancer detection (4 papers)Emotion and Mood Recognition (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ming Fang
22 papers receiving 271 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 145
- Experimental and Cognitive Psychology 84
- Computer Vision and Pattern Recognition 55
- Social Psychology 47
- Biomedical Engineering 33
Countries citing papers authored by Ming Fang
This map shows the geographic impact of Ming Fang'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 Ming Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Fang more than expected).
Fields of papers citing papers by Ming Fang
This network shows the impact of papers produced by Ming Fang. 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 Ming Fang. The network helps show where Ming Fang may publish in the future.
Co-authorship network of co-authors of Ming Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Fang. A scholar is included among the top collaborators of Ming Fang 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 Ming Fang. Ming Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 0 | |
| 9 | 6 | |
| 10 | 79 | |
| 11 | 1 | |
| 12 | 35 | |
| 13 | 25 | |
| 14 | 24 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 7 | |
| 20 | 1 |
About Ming Fang
Ming Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 28 papers that have together received 278 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), AI in cancer detection (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Health Informatics (9 citations), Experimental and Cognitive Psychology (84 citations) and Artificial Intelligence (145 citations). Ming Fang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chih‐Cheng Hung, Shuhua Liu, Yujia Liang, Xiujuan Lei, Bo Liao, Fang‐Xiang Wu, Munawar Hafiz, Jianwei Zhao, Lanting Li and Mengyu Zhang. Their work appears in journals such as The Journal of the Acoustical Society of America, IEEE Access and Remote Sensing.
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.