Dasong Li
Impact in
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- Electrospun Nanofibers in Biomedical Applications
- Media Technology top 10%
- Advanced Image Fusion Techniques
Papers in
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- Advanced Image Processing Techniques 3
- Advanced Vision and Imaging 2
- Image and Signal Denoising Methods 2
- Image Enhancement Techniques 1
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- Image Processing Techniques and Applications 2
- Co-authors
- Mao Peng (3 shared papers)Qiang Zheng (2 shared papers)Ying Chen (1 shared paper)Lie Shen (1 shared paper)Huijun Wang (1 shared paper)Hongsheng Li (4 shared papers)Hongwei Qin (3 shared papers)Yi Zhang (3 shared papers)
- Journals
- Journal of Applied Polymer Science (1 paper)Langmuir (1 paper)Macromolecular Rapid Communications (1 paper)International Journal of Computer Vision (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Dasong Li
7 papers receiving 241 citations
Peers
Comparison fields: 5 of 44
- Biomaterials 60
- Media Technology 39
- Computer Vision and Pattern Recognition 88
- Polymers and Plastics 58
- Electronic, Optical and Magnetic Materials 47
Countries citing papers authored by Dasong Li
This map shows the geographic impact of Dasong 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 Dasong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dasong Li more than expected).
Fields of papers citing papers by Dasong Li
This network shows the impact of papers produced by Dasong 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 Dasong Li. The network helps show where Dasong Li may publish in the future.
Co-authors
The 19 scholars most cited alongside Dasong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 93 | |
| 2 | 2022 | 45 | |
| 3 | 2023 | 30 | |
| 4 | 2024 | 26 | |
| 5 | 2007 | 23 | |
| 6 | 2006 | 23 | |
| 7 | 2022 | 9 |
About Dasong Li
Dasong Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Polymers and Plastics, Computational Mechanics and Biomaterials, having authored 7 papers that have together received 249 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (3 papers), Advanced Vision and Imaging (2 papers), Image and Signal Denoising Methods (2 papers), Image Processing Techniques and Applications (2 papers), Electrospun Nanofibers in Biomedical Applications (1 paper), Image Enhancement Techniques (1 paper), Nanotechnology research and applications (1 paper) and Conducting polymers and applications (1 paper). The work is most often cited by research in Biomaterials (60 citations), Media Technology (39 citations), Computer Vision and Pattern Recognition (88 citations), Polymers and Plastics (58 citations) and Electronic, Optical and Magnetic Materials (47 citations). Dasong Li has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Mao Peng, Qiang Zheng, Ying Chen, Lie Shen, Huijun Wang, Hongsheng Li, Hongwei Qin, Yi Zhang, Xiaogang Wang and Ka Lung Law. Their work appears in journals such as Journal of Applied Polymer Science, Langmuir, Macromolecular Rapid Communications, International Journal of Computer Vision and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.