Chun‐Hao Chang
Impact in
- Signal Processing top 10%
- Video Coding and Compression Technologies
Papers in
-
- Explainable Artificial Intelligence (XAI) 5
- Sentiment Analysis and Opinion Mining 4
- Machine Learning and Data Classification 3
-
- Biosensors and Analytical Detection 3
- Co-authors
- Yi-Shin Chen (5 shared papers)Elvis Saravia (5 shared papers)Anna Goldenberg (5 shared papers)K.Q. Yan (2 shared papers)Bor‐Ran Li (6 shared papers)Chih‐Hsing Chu (1 shared paper)Hsiang‐Yun Chen (1 shared paper)David Duvenaud (2 shared papers)
- Journals
- Thin Solid Films (1 paper)Computer Standards & Interfaces (1 paper)ACS Sustainable Chemistry & Engineering (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)Biomedical Chromatography (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chun‐Hao Chang
54 papers receiving 509 citations
Peers
Comparison fields: 5 of 126
- Applied Psychology 33
- Signal Processing 63
- Health Informatics 7
- Hardware and Architecture 30
- Computer Vision and Pattern Recognition 89
Countries citing papers authored by Chun‐Hao Chang
This map shows the geographic impact of Chun‐Hao 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‐Hao 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‐Hao Chang more than expected).
Fields of papers citing papers by Chun‐Hao Chang
This network shows the impact of papers produced by Chun‐Hao 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‐Hao Chang. The network helps show where Chun‐Hao Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Hao 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 61 | |
| 2 | 2007 | 47 | |
| 3 | 2006 | 35 | |
| 4 | 2016 | 29 | |
| 5 | 2018 | 29 | |
| 6 | 2021 | 28 | |
| 7 | 2020 | 26 | |
| 8 | 2021 | 19 | |
| 9 | 2020 | 19 | |
| 10 | 2016 | 17 | |
| 11 | 2023 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2021 | 12 | |
| 14 | 2023 | 11 | |
| 15 | 2006 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2007 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2016 | 9 |
About Chun‐Hao Chang
Chun‐Hao Chang is a scholar working on Artificial Intelligence, Biomedical Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 54 papers that have together received 535 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (5 papers), Mental Health via Writing (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Video Coding and Compression Technologies (3 papers), Machine Learning and Data Classification (3 papers), Biosensors and Analytical Detection (3 papers), Complex Network Analysis Techniques (3 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Applied Psychology (33 citations), Signal Processing (63 citations), Health Informatics (7 citations), Hardware and Architecture (30 citations) and Computer Vision and Pattern Recognition (89 citations). Chun‐Hao Chang has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Yi-Shin Chen, Elvis Saravia, Anna Goldenberg, K.Q. Yan, Bor‐Ran Li, Chih‐Hsing Chu, Hsiang‐Yun Chen, David Duvenaud, Elliot Creager and Jiawei Chen. Their work appears in journals such as Thin Solid Films, Computer Standards & Interfaces, ACS Sustainable Chemistry & Engineering, Journal of Pharmaceutical and Biomedical Analysis and Biomedical Chromatography.
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.