Wen‐Shiung Chen
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Topics
- Biometric Identification and Security (12 papers)Face and Expression Recognition (10 papers)Advanced Data Compression Techniques (6 papers)
- Journals
- Expert Systems with ApplicationsIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Instrumentation and Measurement
- Partner nations
- TaiwanUnited States
In The Last Decade
Wen‐Shiung Chen
32 papers receiving 297 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 155
- Computer Vision and Pattern Recognition 150
- Information Systems 59
- Electrical and Electronic Engineering 32
- Computer Networks and Communications 30
Countries citing papers authored by Wen‐Shiung Chen
This map shows the geographic impact of Wen‐Shiung 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 Wen‐Shiung Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Shiung Chen more than expected).
Fields of papers citing papers by Wen‐Shiung Chen
This network shows the impact of papers produced by Wen‐Shiung 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 Wen‐Shiung Chen. The network helps show where Wen‐Shiung Chen may publish in the future.
Co-authorship network of co-authors of Wen‐Shiung Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Shiung Chen. A scholar is included among the top collaborators of Wen‐Shiung 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 Wen‐Shiung Chen. Wen‐Shiung 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 | 2 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 8 | |
| 7 | An easy way for location-based services | 1 |
| 8 | 11 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 18 | |
| 15 | 73 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 2 |
About Wen‐Shiung Chen
Wen‐Shiung Chen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 32 papers that have together received 322 indexed citations. Recurring topics across this work include Biometric Identification and Security (12 papers), Face and Expression Recognition (10 papers) and Advanced Data Compression Techniques (6 papers). The work is most often cited by research in Signal Processing (155 citations), Computer Vision and Pattern Recognition (150 citations) and Information Systems (59 citations). Wen‐Shiung Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Sheng-Wen Shih, Duan-Yu Chen, Sheng-Wen Shih, En‐hui Yang, Zhen Zhang, Zhen Zhang and Yi‐Hung Huang. Their work appears in journals such as Expert Systems with Applications, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Instrumentation and Measurement.
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.