Jun Wang
Impact in
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- Face and Expression Recognition
- Multimodal Machine Learning Applications
- Artificial Intelligence top 0.5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Clustering Algorithms Research
Papers in
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- Domain Adaptation and Few-Shot Learning 27
- Machine Learning and ELM 20
- Advanced Clustering Algorithms Research 20
- AI in cancer detection 17
- Neural Networks and Applications 17
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- Face and Expression Recognition 34
- Co-authors
- Weinan Zhang (7 shared papers)Yong Yu (4 shared papers)Lantao Yu (1 shared paper)Shitong Wang (35 shared papers)Zhaohong Deng (27 shared papers)Fu-Lai Chung (9 shared papers)Jun Shi (40 shared papers)Zheng Hai (2 shared papers)
- Journals
- IEEE Journal of Biomedical and Health Informatics (9 papers)IEEE Transactions on Medical Imaging (7 papers)Neurocomputing (6 papers)IEEE Transactions on Fuzzy Systems (5 papers)Information Sciences (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Wang
312 papers receiving 7.2k citations
Jun Wang's Hit Papers
Peers
Comparison fields: 5 of 204
- Computer Vision and Pattern Recognition 2.1k
- Artificial Intelligence 2.9k
- Signal Processing 596
- Health Informatics 65
- Cognitive Neuroscience 826
Countries citing papers authored by Jun Wang
This map shows the geographic impact of Jun 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 Jun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wang more than expected).
Fields of papers citing papers by Jun Wang
This network shows the impact of papers produced by Jun 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 Jun Wang. The network helps show where Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 348 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Hit paper breakdown → | 2017 | 1450 |
| 2 | Black-winged kite algorithm: a nature-inspired meta-heuristic for solving benchmark functions and engineering problems Hit paper breakdown → | 2024 | 247 |
| 3 | 2014 | 228 | |
| 4 | 2018 | 220 | |
| 5 | 2006 | 209 | |
| 6 | 2017 | 185 | |
| 7 | 2019 | 173 | |
| 8 | 2018 | 152 | |
| 9 | 2020 | 147 | |
| 10 | 2019 | 143 | |
| 11 | 2006 | 124 | |
| 12 | 2010 | 123 | |
| 13 | 2014 | 121 | |
| 14 | 2019 | 104 | |
| 15 | 2011 | 100 | |
| 16 | 2016 | 93 | |
| 17 | 2020 | 92 | |
| 18 | 2007 | 87 | |
| 19 | 2012 | 86 | |
| 20 | 2015 | 85 |
About Jun Wang
Jun Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Biomedical Engineering, having authored 348 papers that have together received 7.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (34 papers), Domain Adaptation and Few-Shot Learning (27 papers), Machine Learning and ELM (20 papers), Advanced Clustering Algorithms Research (20 papers), Functional Brain Connectivity Studies (19 papers), EEG and Brain-Computer Interfaces (18 papers), AI in cancer detection (17 papers) and Neural Networks and Applications (17 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.1k citations), Artificial Intelligence (2.9k citations), Signal Processing (596 citations), Health Informatics (65 citations) and Cognitive Neuroscience (826 citations). Jun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weinan Zhang, Yong Yu, Lantao Yu, Shitong Wang, Zhaohong Deng, Fu-Lai Chung, Jun Shi, Zheng Hai, Kup‐Sze Choi and Dinggang Shen. Their work appears in journals such as IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Medical Imaging, Neurocomputing, IEEE Transactions on Fuzzy Systems and Information Sciences.
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.