Chi-Yuan Yeh
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Co-authors
- Shie-Jue LeeChi‐Wei HuangYuen-Liang LaiChih‐Hung WuMing‐Chung JiangJai‐Nien TungStella Chin‐Shaw TsaiKun‐Tu Yeh
- Topics
- Advanced Radiotherapy Techniques (6 papers)Neural Networks and Applications (6 papers)Face and Expression Recognition (6 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceStatistics and Probability
- Journals
- American Journal Of PathologyExpert Systems with ApplicationsIEEE Transactions on Fuzzy Systems
- Partner nations
- TaiwanUnited States
In The Last Decade
Chi-Yuan Yeh
29 papers receiving 598 citations
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 274
- Management Science and Operations Research 203
- Electrical and Electronic Engineering 96
- Computer Vision and Pattern Recognition 91
- Control and Systems Engineering 61
Countries citing papers authored by Chi-Yuan Yeh
This map shows the geographic impact of Chi-Yuan Yeh'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 Chi-Yuan Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Yuan Yeh more than expected).
Fields of papers citing papers by Chi-Yuan Yeh
This network shows the impact of papers produced by Chi-Yuan Yeh. 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 Chi-Yuan Yeh. The network helps show where Chi-Yuan Yeh may publish in the future.
Co-authorship network of co-authors of Chi-Yuan Yeh
This figure shows the co-authorship network connecting the top 25 collaborators of Chi-Yuan Yeh. A scholar is included among the top collaborators of Chi-Yuan Yeh 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 Chi-Yuan Yeh. Chi-Yuan Yeh 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | 38 | |
| 9 | 35 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 49 | |
| 13 | 95 | |
| 14 | 19 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 21 | |
| 19 | [Continuing hospice care of cancer--a three-year experience]. | 1 |
| 20 | Radiotherapy following simple hysterectomy in patients with invasive carcinoma of the uterine cervix. | 10 |
About Chi-Yuan Yeh
Chi-Yuan Yeh is a scholar working on Radiation, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 628 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), Neural Networks and Applications (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Management Science and Operations Research (203 citations), Artificial Intelligence (274 citations) and Statistics and Probability (57 citations). Chi-Yuan Yeh has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Shie-Jue Lee, Chi‐Wei Huang, Yuen-Liang Lai, Chih‐Hung Wu, Ming‐Chung Jiang, Jai‐Nien Tung, Stella Chin‐Shaw Tsai, Kun‐Tu Yeh, Hung‐Chang Chen and Ching-Fong Liao. Their work appears in journals such as American Journal Of Pathology, Expert Systems with Applications and IEEE Transactions on Fuzzy 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.