Junke Wang
Impact in
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- Digital Media Forensic Detection
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Multimodal Machine Learning Applications
- Media Technology top 5%
- Image Processing Techniques and Applications
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 2
- Digital Media Forensic Detection 2
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- Metaheuristic Optimization Algorithms Research 2
- Evolutionary Algorithms and Applications 2
- Sentiment Analysis and Opinion Mining 1
- Co-authors
- Yu–Gang Jiang (5 shared papers)Zuxuan Wu (4 shared papers)Jingjing Chen (1 shared paper)Abhinav Shrivastava (1 shared paper)Ser-Nam Lim (1 shared paper)Xintong Han (1 shared paper)Yanwei Fu (1 shared paper)Li Zhang (1 shared paper)
In The Last Decade
Junke Wang
10 papers receiving 278 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 215
- Media Technology 62
- Artificial Intelligence 121
- Biophysics 17
- Industrial and Manufacturing Engineering 15
Countries citing papers authored by Junke Wang
This map shows the geographic impact of Junke 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 Junke Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junke Wang more than expected).
Fields of papers citing papers by Junke Wang
This network shows the impact of papers produced by Junke 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 Junke Wang. The network helps show where Junke Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junke 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 105 | |
| 2 | 2020 | 64 | |
| 3 | 2023 | 38 | |
| 4 | 2023 | 27 | |
| 5 | 2022 | 23 | |
| 6 | 2024 | 14 | |
| 7 | 2023 | 5 | |
| 8 | 2021 | 4 | |
| 9 | 2015 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2011 | 0 | |
| 12 | 2024 | 0 |
About Junke Wang
Junke Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Social Psychology, having authored 12 papers that have together received 283 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Evolutionary Algorithms and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Digital Media Forensic Detection (2 papers), Mental Health via Writing (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (215 citations), Media Technology (62 citations), Artificial Intelligence (121 citations), Biophysics (17 citations) and Industrial and Manufacturing Engineering (15 citations). Junke Wang has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Yu–Gang Jiang, Zuxuan Wu, Jingjing Chen, Abhinav Shrivastava, Ser-Nam Lim, Xintong Han, Yanwei Fu, Li Zhang, Yuqian Fu and Min Li. Their work appears in journals such as Applied Soft Computing, Frontiers in Earth Science, IEEE Transactions on Multimedia, Swarm and Evolutionary Computation and Scientific Reports.
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.