Kai‐Hsiang Chang
Impact in
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- Innovative Energy Harvesting Technologies
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- Advanced Sensor and Energy Harvesting Materials
Papers in
- Co-authors
- Dung-An Wang (1 shared paper)Gee-Sern Hsu (3 shared papers)Jiashing Yu (3 shared papers)Nanshan Qi (2 shared papers)Xiaoshu Zhan (2 shared papers)Julang Li (3 shared papers)Yung-Yaw Chen (4 shared papers)Ta‐Ching Chen (2 shared papers)
In The Last Decade
Kai‐Hsiang Chang
27 papers receiving 297 citations
Peers
Comparison fields: 5 of 78
- Mechanical Engineering 100
- Biomedical Engineering 93
- Signal Processing 22
- Electrical and Electronic Engineering 116
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Kai‐Hsiang Chang
This map shows the geographic impact of Kai‐Hsiang 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 Kai‐Hsiang Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Hsiang Chang more than expected).
Fields of papers citing papers by Kai‐Hsiang Chang
This network shows the impact of papers produced by Kai‐Hsiang 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 Kai‐Hsiang Chang. The network helps show where Kai‐Hsiang Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Hsiang Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 104 | |
| 2 | 2024 | 35 | |
| 3 | 2014 | 28 | |
| 4 | 2023 | 24 | |
| 5 | 2015 | 20 | |
| 6 | 2023 | 19 | |
| 7 | 2000 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2012 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2012 | 5 | |
| 14 | 2008 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2006 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2012 | 2 |
About Kai‐Hsiang Chang
Kai‐Hsiang Chang is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Radiation, having authored 27 papers that have together received 307 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (4 papers), Face recognition and analysis (3 papers), Corneal Surgery and Treatments (2 papers), Medical Imaging Techniques and Applications (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), Face and Expression Recognition (2 papers), Retinal and Macular Surgery (2 papers) and Phytase and its Applications (2 papers). The work is most often cited by research in Mechanical Engineering (100 citations), Biomedical Engineering (93 citations), Signal Processing (22 citations), Electrical and Electronic Engineering (116 citations) and Computer Vision and Pattern Recognition (41 citations). Kai‐Hsiang Chang has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Dung-An Wang, Gee-Sern Hsu, Jiashing Yu, Nanshan Qi, Xiaoshu Zhan, Julang Li, Yung-Yaw Chen, Ta‐Ching Chen, Fung‐Rong Hu and Yi‐Cheun Yeh. Their work appears in journals such as Medical Physics, Advanced Science, Life, Biomacromolecules and Journal of Applied Microbiology.
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.