Chien-Hsing Chou
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 5%
- Information Systems top 5%
- Co-authors
- Mu‐Chun SuFu ChangEugene LaiShih-Yu ChuPing-Hsuan HanYu-Sheng SuChin-Chin LinYi‐Ping Hung
- Topics
- Virtual Reality Applications and Impacts (11 papers)Tactile and Sensory Interactions (10 papers)Image Retrieval and Classification Techniques (9 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceExpert Systems with ApplicationsIEEE Access
- Partner nations
- Taiwan
In The Last Decade
Chien-Hsing Chou
53 papers receiving 963 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 492
- Computer Vision and Pattern Recognition 459
- Cognitive Neuroscience 124
- Human-Computer Interaction 116
- Information Systems 107
Countries citing papers authored by Chien-Hsing Chou
This map shows the geographic impact of Chien-Hsing Chou'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 Chien-Hsing Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chien-Hsing Chou more than expected).
Fields of papers citing papers by Chien-Hsing Chou
This network shows the impact of papers produced by Chien-Hsing Chou. 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 Chien-Hsing Chou. The network helps show where Chien-Hsing Chou may publish in the future.
Co-authorship network of co-authors of Chien-Hsing Chou
This figure shows the co-authorship network connecting the top 25 collaborators of Chien-Hsing Chou. A scholar is included among the top collaborators of Chien-Hsing Chou 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 Chien-Hsing Chou. Chien-Hsing Chou 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Interactive Teaching Aids Integrating Building Blocks and Programming Logic | 2 |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 6 | |
| 14 | 94 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 262 | |
| 20 | 11 |
About Chien-Hsing Chou
Chien-Hsing Chou is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (11 papers), Tactile and Sensory Interactions (10 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (459 citations), Human-Computer Interaction (116 citations) and Artificial Intelligence (492 citations). Chien-Hsing Chou has collaborated with scholars based in Taiwan. Frequent co-authors include Mu‐Chun Su, Fu Chang, Eugene Lai, Shih-Yu Chu, Ping-Hsuan Han, Yu-Sheng Su, Chin-Chin Lin, Yi‐Ping Hung, Chi‐Yi Tsai and Hsiao-Te Chang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.
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.