Chih-Fan Chen
- Computer Vision and Pattern Recognition top 5%
- Computational Mechanics top 5%
- Media Technology top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Chia-Po WeiYuting WangYu-Chiang Frank WangJiunn‐Lin WuChin‐Hsing ChenEvan Suma RosenbergWen‐Nung LieMark Bolas
- Topics
- Advanced Vision and Imaging (6 papers)Computer Graphics and Visualization Techniques (4 papers)3D Surveying and Cultural Heritage (3 papers)
- Journals
- IEEE Transactions on Image ProcessingHypertension ResearchIEEE Transactions on Circuits and Systems I Fundamental Theory and Applications
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Chih-Fan Chen
12 papers receiving 312 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 227
- Computational Mechanics 153
- Media Technology 69
- Signal Processing 50
- Artificial Intelligence 36
Countries citing papers authored by Chih-Fan Chen
This map shows the geographic impact of Chih-Fan Chen'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 Chih-Fan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih-Fan Chen more than expected).
Fields of papers citing papers by Chih-Fan Chen
This network shows the impact of papers produced by Chih-Fan Chen. 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 Chih-Fan Chen. The network helps show where Chih-Fan Chen may publish in the future.
Co-authorship network of co-authors of Chih-Fan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Fan Chen. A scholar is included among the top collaborators of Chih-Fan Chen 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 Chih-Fan Chen. Chih-Fan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 69 | |
| 9 | 168 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 49 |
About Chih-Fan Chen
Chih-Fan Chen is a scholar working on Computer Graphics and Computer-Aided Design, Geology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 316 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Computer Graphics and Visualization Techniques (4 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (227 citations), Media Technology (69 citations) and Computational Mechanics (153 citations). Chih-Fan Chen has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Chia-Po Wei, Yuting Wang, Yu-Chiang Frank Wang, Jiunn‐Lin Wu, Chin‐Hsing Chen, Evan Suma Rosenberg, Wen‐Nung Lie, Mark Bolas, Evan A. Suma and Hao‐Min Cheng. Their work appears in journals such as IEEE Transactions on Image Processing, Hypertension Research and IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications.
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.