Hsuan Chang
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Mechanical Engineering top 5%
- Renewable Energy, Sustainability and the Environment top 5%
- Water Science and Technology top 2%
- Co-authors
- Chii‐Dong HoHone‐Ene HwangWen‐Nung LieChung J. KuoCheng‐Liang ChangYih-Hang ChenTsai‐Yen LiWei Lu
- Topics
- Membrane Separation Technologies (17 papers)Chaos-based Image/Signal Encryption (16 papers)Heat Transfer and Optimization (14 papers)
- Cited by
- Computer Vision and Pattern RecognitionWater Science and TechnologyRenewable Energy, Sustainability and the Environment
- Journals
- NatureCancerApplied Energy
- Partner nations
- TaiwanUnited StatesMalaysia
In The Last Decade
Hsuan Chang
111 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 722
- Biomedical Engineering 510
- Mechanical Engineering 485
- Renewable Energy, Sustainability and the Environment 456
- Water Science and Technology 418
Countries citing papers authored by Hsuan Chang
This map shows the geographic impact of Hsuan 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 Hsuan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsuan Chang more than expected).
Fields of papers citing papers by Hsuan Chang
This network shows the impact of papers produced by Hsuan 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 Hsuan Chang. The network helps show where Hsuan Chang may publish in the future.
Co-authorship network of co-authors of Hsuan Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hsuan Chang. A scholar is included among the top collaborators of Hsuan 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 Hsuan Chang. Hsuan 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 | 8 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | Facial image prediction using exemplar-based algorithm and non-negative matrix factorization | 1 |
| 11 | 71 | |
| 12 | 72 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Visualization and comparison of DNA sequences by use of three-dimensional trajectories | 12 |
| 17 | 4 | |
| 18 | 25 | |
| 19 | A Novel Non-Iterative Scheme for Fractal Image Coding | 4 |
| 20 | 7 |
About Hsuan Chang
Hsuan Chang is a scholar working on Renewable Energy, Sustainability and the Environment, Computer Vision and Pattern Recognition and Media Technology, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Membrane Separation Technologies (17 papers), Chaos-based Image/Signal Encryption (16 papers) and Heat Transfer and Optimization (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (722 citations), Water Science and Technology (418 citations) and Renewable Energy, Sustainability and the Environment (456 citations). Hsuan Chang has collaborated with scholars based in Taiwan, United States and Malaysia. Frequent co-authors include Chii‐Dong Ho, Hone‐Ene Hwang, Wen‐Nung Lie, Chung J. Kuo, Cheng‐Liang Chang, Yih-Hang Chen, Tsai‐Yen Li, Wei Lu, Cheng‐Ling Lee and Tung‐Wen Cheng. Their work appears in journals such as Nature, Cancer and Applied Energy.
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.