Kuang-Yu Chang
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 5%
- Artificial Intelligence
- Media Technology top 10%
- Dermatology top 10%
- Co-authors
- Chu‐Song ChenYi‐Ping HungBor‐Chen KuoHuei‐Fang YangD. L. JudgeChao WuHok‐Sum FungYanping Chen
- Topics
- Face and Expression Recognition (9 papers)Face recognition and analysis (6 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Journals
- The Journal of Chemical PhysicsThe Journal of Physical Chemistry BIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Kuang-Yu Chang
20 papers receiving 631 citations
Peers
Comparison fields: 5 of 81
- Computer Vision and Pattern Recognition 523
- Signal Processing 128
- Artificial Intelligence 80
- Media Technology 50
- Dermatology 42
Countries citing papers authored by Kuang-Yu Chang
This map shows the geographic impact of Kuang-Yu Chang'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 Kuang-Yu Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang-Yu Chang more than expected).
Fields of papers citing papers by Kuang-Yu Chang
This network shows the impact of papers produced by Kuang-Yu Chang. 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 Kuang-Yu Chang. The network helps show where Kuang-Yu Chang may publish in the future.
Co-authorship network of co-authors of Kuang-Yu Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuang-Yu Chang. A scholar is included among the top collaborators of Kuang-Yu Chang 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 Kuang-Yu Chang. Kuang-Yu Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 28 | |
| 8 | 6 | |
| 9 | 27 | |
| 10 | 98 | |
| 11 | 1 | |
| 12 | Applying Scattering Operators for Face Recognition: A Comparative Study | 4 |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 246 | |
| 16 | 80 | |
| 17 | 13 | |
| 18 | 18 | |
| 19 | 47 | |
| 20 | 0 |
About Kuang-Yu Chang
Kuang-Yu Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Environmental Chemistry, having authored 22 papers that have together received 659 indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Face recognition and analysis (6 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (523 citations), Signal Processing (128 citations) and Media Technology (50 citations). Kuang-Yu Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chu‐Song Chen, Yi‐Ping Hung, Bor‐Chen Kuo, Huei‐Fang Yang, D. L. Judge, Chao Wu, Hok‐Sum Fung, Yanping Chen, Li‐Jen Chen and Yuting Chen. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and IEEE Transactions on Geoscience and Remote Sensing.
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.