Zekun Sun
Impact in
-
- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
-
- Embodied and Extended Cognition
Papers in
-
- Aesthetic Perception and Analysis 4
- Face Recognition and Perception 3
- Embodied and Extended Cognition 2
-
- Digital Media Forensic Detection 2
- Visual Attention and Saliency Detection 2
- Co-authors
- Chaz Firestone (9 shared papers)Na Ruan (3 shared papers)Yujie Han (1 shared paper)Weijia Jia (1 shared paper)Zhili He (1 shared paper)Yun Tian (1 shared paper)Manping Zhang (1 shared paper)Xiaolan Lin (1 shared paper)
- Journals
- Journal of Vision (3 papers)Trends in Cognitive Sciences (2 papers)International Biodeterioration & Biodegradation (1 paper)Psychological Science (1 paper)IEEE Sensors Journal (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zekun Sun
14 papers receiving 250 citations
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 124
- Cognitive Neuroscience 61
- Sensory Systems 9
- Experimental and Cognitive Psychology 23
- Social Psychology 36
Countries citing papers authored by Zekun Sun
This map shows the geographic impact of Zekun 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 Zekun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zekun Sun more than expected).
Fields of papers citing papers by Zekun Sun
This network shows the impact of papers produced by Zekun 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 Zekun Sun. The network helps show where Zekun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Zekun 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 122 | |
| 2 | 2020 | 38 | |
| 3 | 2021 | 36 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2021 | 7 | |
| 9 | 2024 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2025 | 4 | |
| 12 | 2025 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2018 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2023 | 0 |
About Zekun Sun
Zekun Sun is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Artificial Intelligence and Social Psychology, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (4 papers), Multisensory perception and integration (3 papers), Face Recognition and Perception (3 papers), Adversarial Robustness in Machine Learning (2 papers), Digital Media Forensic Detection (2 papers), Visual Attention and Saliency Detection (2 papers), Embodied and Extended Cognition (2 papers) and Advanced Image Fusion Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (124 citations), Cognitive Neuroscience (61 citations), Sensory Systems (9 citations), Experimental and Cognitive Psychology (23 citations) and Social Psychology (36 citations). Zekun Sun has collaborated with scholars based in China, United States and France. Frequent co-authors include Chaz Firestone, Na Ruan, Yujie Han, Weijia Jia, Zhili He, Yun Tian, Manping Zhang, Xiaolan Lin, Yao Lu and Jianhua Li. Their work appears in journals such as Journal of Vision, Trends in Cognitive Sciences, International Biodeterioration & Biodegradation, Psychological Science and IEEE Sensors Journal.
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.