Linjun Sun
Impact in
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- Face recognition and analysis
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 17
- Face and Expression Recognition 12
- Generative Adversarial Networks and Image Synthesis 8
- Advanced Image Processing Techniques 4
- Image Enhancement Techniques 3
- Advanced Neural Network Applications 3
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- Biometric Identification and Security 14
- Co-authors
- Weijun Li (31 shared papers)Xin Ning (27 shared papers)Liping Zhang (12 shared papers)Xiaoli Dong (17 shared papers)Lina Yu (14 shared papers)Yakun Zhang (3 shared papers)Xiao Bai (1 shared paper)Changshuo Wang (1 shared paper)
- Journals
- Neural Networks (2 papers)IEEE Transactions on Neural Networks and Learning Systems (2 papers)IEEE Access (2 papers)Connection Science (2 papers)Materials Today Energy (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Linjun Sun
38 papers receiving 656 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 355
- Signal Processing 178
- Business and International Management 16
- Media Technology 59
- Artificial Intelligence 214
Countries citing papers authored by Linjun Sun
This map shows the geographic impact of Linjun Sun'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 Linjun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjun Sun more than expected).
Fields of papers citing papers by Linjun Sun
This network shows the impact of papers produced by Linjun Sun. 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 Linjun Sun. The network helps show where Linjun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjun Sun, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 103 | |
| 2 | 2019 | 72 | |
| 3 | 2017 | 61 | |
| 4 | 2021 | 49 | |
| 5 | 2021 | 45 | |
| 6 | 2021 | 41 | |
| 7 | 2021 | 40 | |
| 8 | 2020 | 35 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 17 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 14 | |
| 17 | 2023 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 8 |
About Linjun Sun
Linjun Sun is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Media Technology, having authored 41 papers that have together received 685 indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Biometric Identification and Security (14 papers), Face and Expression Recognition (12 papers), Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image Processing Techniques (4 papers), Image Enhancement Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Signal Processing (178 citations), Business and International Management (16 citations), Media Technology (59 citations) and Artificial Intelligence (214 citations). Linjun Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Weijun Li, Xin Ning, Liping Zhang, Xiaoli Dong, Lina Yu, Yakun Zhang, Xiao Bai, Changshuo Wang, Peng Chen and Liping Zhang. Their work appears in journals such as Neural Networks, IEEE Transactions on Neural Networks and Learning Systems, IEEE Access, Connection Science and Materials Today Energy.
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.