Kan Chang
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
- Image Processing Techniques and Applications
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- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Vision and Imaging
Papers in
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- Advanced Image Processing Techniques 24
- Advanced Vision and Imaging 17
- Image Enhancement Techniques 16
- Image and Signal Denoising Methods 12
- Image and Video Quality Assessment 9
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- Image Processing Techniques and Applications 9
- Co-authors
- Baoxin Li (9 shared papers)Guiqing Li (6 shared papers)Wei Li (2 shared papers)Yue Yang (1 shared paper)Tuanfa Qin (11 shared papers)Baoxin Li (1 shared paper)Minghong Li (5 shared papers)Mingyang Ling (10 shared papers)
- Journals
- Signal Processing (4 papers)Neural Networks (3 papers)Expert Systems with Applications (2 papers)Knowledge-Based Systems (2 papers)IEEE Signal Processing Letters (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kan Chang
52 papers receiving 546 citations
Peers
Comparison fields: 5 of 75
- Media Technology 175
- Computer Vision and Pattern Recognition 375
- General Economics, Econometrics and Finance 51
- Acoustics and Ultrasonics 3
- Aerospace Engineering 73
Countries citing papers authored by Kan Chang
This map shows the geographic impact of Kan 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 Kan Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Chang more than expected).
Fields of papers citing papers by Kan Chang
This network shows the impact of papers produced by Kan 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 Kan Chang. The network helps show where Kan Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 65 | |
| 2 | 2001 | 65 | |
| 3 | 2023 | 43 | |
| 4 | 2018 | 35 | |
| 5 | 2018 | 34 | |
| 6 | 2023 | 29 | |
| 7 | 2021 | 29 | |
| 8 | 2016 | 23 | |
| 9 | 2015 | 22 | |
| 10 | 2024 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2015 | 13 | |
| 14 | 2024 | 12 | |
| 15 | 2024 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 1988 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 2023 | 8 | |
| 20 | 2024 | 6 |
About Kan Chang
Kan Chang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Computational Mechanics, Signal Processing and Biomedical Engineering, having authored 63 papers that have together received 556 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (24 papers), Advanced Vision and Imaging (17 papers), Image Enhancement Techniques (16 papers), Image and Signal Denoising Methods (12 papers), Video Coding and Compression Technologies (11 papers), Sparse and Compressive Sensing Techniques (9 papers), Image Processing Techniques and Applications (9 papers) and Image and Video Quality Assessment (9 papers). The work is most often cited by research in Media Technology (175 citations), Computer Vision and Pattern Recognition (375 citations), General Economics, Econometrics and Finance (51 citations), Acoustics and Ultrasonics (3 citations) and Aerospace Engineering (73 citations). Kan Chang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baoxin Li, Guiqing Li, Wei Li, Yue Yang, Tuanfa Qin, Baoxin Li, Minghong Li, Mingyang Ling, Weihua Gui and Fan Zhang. Their work appears in journals such as Signal Processing, Neural Networks, Expert Systems with Applications, Knowledge-Based Systems and IEEE Signal Processing Letters.
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.