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 22
- Medical Image Segmentation Techniques 8
- Advanced Image and Video Retrieval Techniques 8
- Video Surveillance and Tracking Methods 7
- 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)Wenjun Duan (2 shared papers)Qin Qin (2 shared papers)Qingbo Yu (2 shared papers)
- Journals
- Biomedical Signal Processing and Control (6 papers)International Journal of Heat and Mass Transfer (4 papers)Pattern Recognition (4 papers)Sustainability (2 papers)Computer Methods and Programs in Biomedicine (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Wang
105 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 654
- Radiology, Nuclear Medicine and Imaging 269
- Media Technology 96
- Artificial Intelligence 329
- Neurology 64
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 116 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 175 | |
| 2 | 2016 | 132 | |
| 3 | 2015 | 131 | |
| 4 | 2019 | 113 | |
| 5 | 2022 | 100 | |
| 6 | 2017 | 96 | |
| 7 | 2015 | 78 | |
| 8 | 2020 | 75 | |
| 9 | 2017 | 48 | |
| 10 | 2021 | 42 | |
| 11 | 2015 | 38 | |
| 12 | 2020 | 38 | |
| 13 | 2020 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2018 | 32 | |
| 16 | 2024 | 28 | |
| 17 | 2019 | 27 | |
| 18 | 2022 | 25 | |
| 19 | 2022 | 22 | |
| 20 | 2020 | 20 |
About Kun Wang
Kun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging and Mechanical Engineering, having authored 116 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (22 papers), COVID-19 diagnosis using AI (12 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Image Segmentation Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Thermochemical Biomass Conversion Processes (8 papers), Video Surveillance and Tracking Methods (7 papers) and Remote-Sensing Image Classification (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (654 citations), Radiology, Nuclear Medicine and Imaging (269 citations), Media Technology (96 citations), Artificial Intelligence (329 citations) and Neurology (64 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, Wenjun Duan, Qin Qin, Qingbo Yu, Yuting Lü and Chen Wu. Their work appears in journals such as Biomedical Signal Processing and Control, International Journal of Heat and Mass Transfer, Pattern Recognition, Sustainability and Computer Methods and Programs in Biomedicine.
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.