Changyang Li
Impact in
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- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Sensory Systems top 10%
Papers in
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- Medical Image Segmentation Techniques 17
- Advanced Neural Network Applications 9
- Advanced Image and Video Retrieval Techniques 9
- Visual Attention and Saliency Detection 5
- Image Retrieval and Classification Techniques 4
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- Radiomics and Machine Learning in Medical Imaging 8
- Medical Imaging Techniques and Applications 3
- Co-authors
- Dagan Feng (27 shared papers)Jinman Kim (14 shared papers)Michael Fulham (15 shared papers)Weidong Cai (6 shared papers)Yuchen Yuan (6 shared papers)Xiuying Wang (16 shared papers)Ashnil Kumar (5 shared papers)Euijoon Ahn (3 shared papers)
In The Last Decade
Changyang Li
35 papers receiving 729 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 385
- Sensory Systems 45
- Media Technology 86
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Changyang Li
This map shows the geographic impact of Changyang Li'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 Changyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changyang Li more than expected).
Fields of papers citing papers by Changyang Li
This network shows the impact of papers produced by Changyang Li. 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 Changyang Li. The network helps show where Changyang Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Changyang Li, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 131 | |
| 2 | 2017 | 111 | |
| 3 | 2016 | 91 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 43 | |
| 6 | 2016 | 37 | |
| 7 | 2016 | 28 | |
| 8 | 2014 | 27 | |
| 9 | 2016 | 25 | |
| 10 | 2013 | 18 | |
| 11 | 2011 | 17 | |
| 12 | 2016 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2016 | 13 | |
| 16 | 2010 | 13 | |
| 17 | 2013 | 12 | |
| 18 | 2013 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2016 | 9 |
About Changyang Li
Changyang Li is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Media Technology and Biomedical Engineering, having authored 35 papers that have together received 744 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (17 papers), Advanced Neural Network Applications (9 papers), Advanced Image and Video Retrieval Techniques (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Visual Attention and Saliency Detection (5 papers), AI in cancer detection (5 papers), Image Retrieval and Classification Techniques (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (385 citations), Sensory Systems (45 citations), Media Technology (86 citations), Health Informatics (9 citations) and Radiology, Nuclear Medicine and Imaging (130 citations). Changyang Li has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Dagan Feng, Jinman Kim, Michael Fulham, Weidong Cai, Yuchen Yuan, Xiuying Wang, Ashnil Kumar, Euijoon Ahn, Lei Bi and Stefan Eberl. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Journal of Biomedical and Health Informatics, Physics in Medicine and Biology, Neurocomputing and IEEE Transactions on Biomedical Engineering.
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.