Chung-Chian Hsu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Signal Processing top 5%
- Computational Theory and Mathematics top 10%
- Co-authors
- Shahab S. BandRasoul AmeriYu‐Cheng ChenChin-Long ChenYu-Wei SuHuey‐Wen LiangAnthony T. ChronopoulosMehdi Sookhak
- Topics
- Neural Networks and Applications (17 papers)Advanced Clustering Algorithms Research (14 papers)Face and Expression Recognition (10 papers)
- Partner nations
- TaiwanUnited StatesPakistan
In The Last Decade
Chung-Chian Hsu
45 papers receiving 693 citations
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 411
- Computer Vision and Pattern Recognition 140
- Information Systems 115
- Signal Processing 105
- Computational Theory and Mathematics 53
Countries citing papers authored by Chung-Chian Hsu
This map shows the geographic impact of Chung-Chian Hsu'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 Chung-Chian Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung-Chian Hsu more than expected).
Fields of papers citing papers by Chung-Chian Hsu
This network shows the impact of papers produced by Chung-Chian Hsu. 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 Chung-Chian Hsu. The network helps show where Chung-Chian Hsu may publish in the future.
Co-authorship network of co-authors of Chung-Chian Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Chian Hsu. A scholar is included among the top collaborators of Chung-Chian Hsu 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 Chung-Chian Hsu. Chung-Chian Hsu 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 | 2 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 57 | |
| 15 | 118 | |
| 16 | 37 | |
| 17 | 1 | |
| 18 | System of Boosting Voting with Multiple Learning Algorithms | 1 |
| 19 | 8 | |
| 20 | 1 |
About Chung-Chian Hsu
Chung-Chian Hsu is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 743 indexed citations. Recurring topics across this work include Neural Networks and Applications (17 papers), Advanced Clustering Algorithms Research (14 papers) and Face and Expression Recognition (10 papers). The work is most often cited by research in Health Informatics (44 citations), Artificial Intelligence (411 citations) and Signal Processing (105 citations). Chung-Chian Hsu has collaborated with scholars based in Taiwan, United States and Pakistan. Frequent co-authors include Shahab S. Band, Rasoul Ameri, Yu‐Cheng Chen, Chin-Long Chen, Yu-Wei Su, Huey‐Wen Liang, Anthony T. Chronopoulos, Mehdi Sookhak, Abdollah Dehzangi and Wei‐Hao Huang. Their work appears in journals such as Scientific Reports, 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.