Heyou Chang
Impact in
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- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
- Image Processing Techniques and Applications
Papers in
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- Face and Expression Recognition 11
- Advanced Image Processing Techniques 6
- Face recognition and analysis 5
- Image and Signal Denoising Methods 5
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- Sparse and Compressive Sensing Techniques 7
- Co-authors
- Jian Yang (7 shared papers)Meng Yang (6 shared papers)Weixin Luo (2 shared papers)Jun Li (1 shared paper)Guangwei Gao (8 shared papers)Yi Yu (2 shared papers)Dong Yue (3 shared papers)Hao Zheng (7 shared papers)
- Journals
- Neurocomputing (4 papers)Computers & Electrical Engineering (3 papers)ACM Transactions on Internet Technology (1 paper)Medical Image Analysis (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaJapanUnited Kingdom
In The Last Decade
Heyou Chang
21 papers receiving 274 citations
Peers
Comparison fields: 5 of 64
- Computer Vision and Pattern Recognition 198
- Media Technology 69
- Signal Processing 38
- Computational Mechanics 71
- Computational Mathematics 2
Countries citing papers authored by Heyou Chang
This map shows the geographic impact of Heyou 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 Heyou Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heyou Chang more than expected).
Fields of papers citing papers by Heyou Chang
This network shows the impact of papers produced by Heyou 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 Heyou Chang. The network helps show where Heyou Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heyou 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 44 | |
| 2 | 2015 | 41 | |
| 3 | 2019 | 41 | |
| 4 | 2016 | 28 | |
| 5 | 2017 | 25 | |
| 6 | 2022 | 16 | |
| 7 | 2017 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 7 | |
| 13 | 2023 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 1 |
About Heyou Chang
Heyou Chang is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Signal Processing and Artificial Intelligence, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Sparse and Compressive Sensing Techniques (7 papers), Advanced Image Processing Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Face recognition and analysis (5 papers), Image and Signal Denoising Methods (5 papers), Blind Source Separation Techniques (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Media Technology (69 citations), Signal Processing (38 citations), Computational Mechanics (71 citations) and Computational Mathematics (2 citations). Heyou Chang has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Jian Yang, Meng Yang, Weixin Luo, Jun Li, Guangwei Gao, Yi Yu, Dong Yue, Hao Zheng, Pu Huang and Fanlong Zhang. Their work appears in journals such as Neurocomputing, Computers & Electrical Engineering, ACM Transactions on Internet Technology, Medical Image Analysis and IEEE Transactions on Image Processing.
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.