Kun Wang
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
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- Advanced Neural Network Applications 23
- Medical Image Segmentation Techniques 11
- Video Surveillance and Tracking Methods 8
- Advanced Image and Video Retrieval Techniques 8
- Co-authors
- Lei He (3 shared papers)Xiaohong Zhang (13 shared papers)Sheng Huang (10 shared papers)Wanli Ouyang (3 shared papers)Xiaogang Wang (3 shared papers)Qin Qin (2 shared papers)Qingbo Yu (2 shared papers)Wenjun Duan (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (6 papers)Pattern Recognition (4 papers)International Journal of Heat and Mass Transfer (3 papers)IEEE Access (2 papers)Sustainability (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Wang
112 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 156
- Computer Vision and Pattern Recognition 665
- Radiology, Nuclear Medicine and Imaging 325
- Media Technology 101
- Artificial Intelligence 328
- Health Informatics 13
Countries citing papers authored by Kun Wang
This map shows the geographic impact of Kun Wang'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 Kun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Wang more than expected).
Fields of papers citing papers by Kun Wang
This network shows the impact of papers produced by Kun Wang. 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 Kun Wang. The network helps show where Kun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Wang, 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 124 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2016 | 132 | |
| 3 | 2015 | 131 | |
| 4 | 2019 | 112 | |
| 5 | 2017 | 95 | |
| 6 | 2022 | 89 | |
| 7 | 2015 | 77 | |
| 8 | 2020 | 74 | |
| 9 | 2017 | 48 | |
| 10 | 2021 | 39 | |
| 11 | 2020 | 38 | |
| 12 | 2015 | 37 | |
| 13 | 2020 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2018 | 32 | |
| 16 | 2019 | 27 | |
| 17 | 2022 | 23 | |
| 18 | 2024 | 22 | |
| 19 | 2022 | 21 | |
| 20 | 2020 | 19 |
About Kun Wang
Kun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanical Engineering, having authored 124 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (23 papers), COVID-19 diagnosis using AI (12 papers), Medical Image Segmentation Techniques (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Video Surveillance and Tracking Methods (8 papers), Thermochemical Biomass Conversion Processes (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced X-ray and CT Imaging (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (665 citations), Radiology, Nuclear Medicine and Imaging (325 citations), Media Technology (101 citations), Artificial Intelligence (328 citations) and Health Informatics (13 citations). Kun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lei He, Xiaohong Zhang, Sheng Huang, Wanli Ouyang, Xiaogang Wang, Qin Qin, Qingbo Yu, Wenjun Duan, Chen Wu and Bo Gao. Their work appears in journals such as Biomedical Signal Processing and Control, Pattern Recognition, International Journal of Heat and Mass Transfer, IEEE Access and Sustainability.
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.