Chuang-Wen You
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Human-Computer Interaction top 5%
- Computer Networks and Communications top 10%
- Co-authors
- Hao-Hua ChuNicholas D. LaneLorenzo TorresaniAndrew T. CampbellYi‐Chao ChenWen-Huang ChengZhenyu ChenMu Lin
- Topics
- Digital Mental Health Interventions (14 papers)Context-Aware Activity Recognition Systems (10 papers)Innovative Human-Technology Interaction (9 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chuang-Wen You
66 papers receiving 716 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 240
- Electrical and Electronic Engineering 170
- Automotive Engineering 119
- Human-Computer Interaction 117
- Computer Networks and Communications 104
Countries citing papers authored by Chuang-Wen You
This map shows the geographic impact of Chuang-Wen You'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 Chuang-Wen You with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuang-Wen You more than expected).
Fields of papers citing papers by Chuang-Wen You
This network shows the impact of papers produced by Chuang-Wen You. 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 Chuang-Wen You. The network helps show where Chuang-Wen You may publish in the future.
Co-authorship network of co-authors of Chuang-Wen You
This figure shows the co-authorship network connecting the top 25 collaborators of Chuang-Wen You. A scholar is included among the top collaborators of Chuang-Wen You 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 Chuang-Wen You. Chuang-Wen You 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 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 8 | |
| 14 | 41 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 9 | |
| 19 | 8 | |
| 20 | 5 |
About Chuang-Wen You
Chuang-Wen You is a scholar working on Applied Psychology, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 69 papers that have together received 739 indexed citations. Recurring topics across this work include Digital Mental Health Interventions (14 papers), Context-Aware Activity Recognition Systems (10 papers) and Innovative Human-Technology Interaction (9 papers). The work is most often cited by research in Human-Computer Interaction (117 citations), Computer Vision and Pattern Recognition (240 citations) and Transportation (71 citations). Chuang-Wen You has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hao-Hua Chu, Nicholas D. Lane, Lorenzo Torresani, Andrew T. Campbell, Yi‐Chao Chen, Wen-Huang Cheng, Zhenyu Chen, Mu Lin, Fanglin Chen and Ming‐Chyi Huang. Their work appears in journals such as IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Cybernetics.
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.