Yuecheng Li
- Public Health, Environmental and Occupational Health top 10%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Mingui SunWenyan JiaChengliu LiZhi‐Hong MaoLora E. BurkeYicheng BaiJohn D. FernstromHsin-Chen Chen
- Topics
- Nutritional Studies and Diet (6 papers)Advanced Vision and Imaging (6 papers)Image Enhancement Techniques (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionPublic Health, Environmental and Occupational HealthHuman-Computer Interaction
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuecheng Li
34 papers receiving 638 citations
Peers
Comparison fields: 5 of 124
- Public Health, Environmental and Occupational Health 215
- Computer Vision and Pattern Recognition 190
- Biomedical Engineering 112
- Artificial Intelligence 75
- Electrical and Electronic Engineering 70
Countries citing papers authored by Yuecheng Li
This map shows the geographic impact of Yuecheng Li'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 Yuecheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuecheng Li more than expected).
Fields of papers citing papers by Yuecheng Li
This network shows the impact of papers produced by Yuecheng Li. 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 Yuecheng Li. The network helps show where Yuecheng Li may publish in the future.
Co-authorship network of co-authors of Yuecheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yuecheng Li. A scholar is included among the top collaborators of Yuecheng Li 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 Yuecheng Li. Yuecheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 19 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 0 | |
| 10 | 6 | |
| 11 | 32 | |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 71 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 22 | |
| 19 | 5 | |
| 20 | 125 |
About Yuecheng Li
Yuecheng Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Occupational Therapy, having authored 39 papers that have together received 667 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (6 papers), Advanced Vision and Imaging (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (190 citations), Public Health, Environmental and Occupational Health (215 citations) and Human-Computer Interaction (33 citations). Yuecheng Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Mingui Sun, Wenyan Jia, Chengliu Li, Zhi‐Hong Mao, Lora E. Burke, Yicheng Bai, John D. Fernstrom, Hsin-Chen Chen, Robert J. Sclabassi and Steven A. Hackworth. Their work appears in journals such as Advanced Science, IEEE Transactions on Neural Networks and Learning Systems and Neural Networks.
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.