Chun-Min Chang
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Emotion and Mood Recognition
Papers in
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- Emotion and Mood Recognition 11
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- Speech and Audio Processing 9
- Music and Audio Processing 5
- Co-authors
- Chi-Chun Lee (14 shared papers)Hsiu‐Yin Chiang (3 shared papers)Chin‐Chi Kuo (3 shared papers)Chih-Wei Chung (2 shared papers)Kuan‐Ting Liu (1 shared paper)Meng‐Ru Ho (1 shared paper)Kuan-Ta Chen (2 shared papers)Sheng-Long Kao (1 shared paper)
- Journals
- IEEE Transactions on Affective Computing (2 papers)npj Digital Medicine (1 paper)Nature Communications (1 paper)Maritime Policy & Management (1 paper)Kidney International Reports (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chun-Min Chang
24 papers receiving 326 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 22
- Experimental and Cognitive Psychology 61
- Health Information Management 21
- Signal Processing 40
- Radiology, Nuclear Medicine and Imaging 61
Countries citing papers authored by Chun-Min Chang
This map shows the geographic impact of Chun-Min 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 Chun-Min Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Min Chang more than expected).
Fields of papers citing papers by Chun-Min Chang
This network shows the impact of papers produced by Chun-Min 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 Chun-Min Chang. The network helps show where Chun-Min Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun-Min 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 | 2019 | 144 | |
| 2 | 2019 | 46 | |
| 3 | 2019 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2008 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2017 | 8 | |
| 8 | 2021 | 8 | |
| 9 | 2013 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2019 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2019 | 3 | |
| 20 | Splenic artery pseudoaneurysm within a pancreatic pseudocyst as a complication of chronic pancreatitis: Report of a case | 2001 | 1 |
About Chun-Min Chang
Chun-Min Chang is a scholar working on Experimental and Cognitive Psychology, Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 27 papers that have together received 336 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (11 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (5 papers), Anomaly Detection Techniques and Applications (3 papers), MRI in cancer diagnosis (2 papers), Renal and Vascular Pathologies (2 papers), Infant Health and Development (2 papers) and Artificial Intelligence in Healthcare (2 papers). The work is most often cited by research in Health Informatics (22 citations), Experimental and Cognitive Psychology (61 citations), Health Information Management (21 citations), Signal Processing (40 citations) and Radiology, Nuclear Medicine and Imaging (61 citations). Chun-Min Chang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chi-Chun Lee, Hsiu‐Yin Chiang, Chin‐Chi Kuo, Chih-Wei Chung, Kuan‐Ting Liu, Meng‐Ru Ho, Kuan-Ta Chen, Sheng-Long Kao, Pai H. Chou and Cheng-Ting Lee. Their work appears in journals such as IEEE Transactions on Affective Computing, npj Digital Medicine, Nature Communications, Maritime Policy & Management and Kidney International Reports.
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.