Shu‐Yuan Chen
- Computer Vision and Pattern Recognition top 2%
- Organizational Behavior and Human Resource Management top 5%
- Artificial Intelligence top 10%
- Mechanics of Materials top 10%
- Mechanical Engineering
- Co-authors
- David AhlströmAmber Yun‐Ping LeeLiang‐Chih HuangRuxin WangChaojie JiYe LiJianping FanWen‐Hsiang Tsai
- Topics
- Image Retrieval and Classification Techniques (14 papers)Advanced Image and Video Retrieval Techniques (13 papers)Handwritten Text Recognition Techniques (6 papers)
In The Last Decade
Shu‐Yuan Chen
69 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 502
- Organizational Behavior and Human Resource Management 193
- Artificial Intelligence 150
- Mechanics of Materials 135
- Mechanical Engineering 113
Countries citing papers authored by Shu‐Yuan Chen
This map shows the geographic impact of Shu‐Yuan 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 Shu‐Yuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Yuan Chen more than expected).
Fields of papers citing papers by Shu‐Yuan Chen
This network shows the impact of papers produced by Shu‐Yuan 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 Shu‐Yuan Chen. The network helps show where Shu‐Yuan Chen may publish in the future.
Co-authorship network of co-authors of Shu‐Yuan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Yuan Chen. A scholar is included among the top collaborators of Shu‐Yuan 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 Shu‐Yuan Chen. Shu‐Yuan 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | Boundary-aware context neural network for medical image segmentationbreakdown → | 139 |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 4 |
About Shu‐Yuan Chen
Shu‐Yuan Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Organizational Behavior and Human Resource Management, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (502 citations), Organizational Behavior and Human Resource Management (193 citations) and Media Technology (105 citations). Shu‐Yuan Chen has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include David Ahlström, Amber Yun‐Ping Lee, Liang‐Chih Huang, Ruxin Wang, Chaojie Ji, Ye Li, Jianping Fan, Wen‐Hsiang Tsai, Weiyuan Chen and Jian Gao. Their work appears in journals such as Journal of Cleaner Production, Chemical Engineering Journal and Expert Systems with 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.