Yin Yan
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Sensory Systems top 10%
Papers in
-
- Neural dynamics and brain function 7
- Visual perception and processing mechanisms 7
- Neural and Behavioral Psychology Studies 4
- Face Recognition and Perception 2
- Co-authors
- Wu LiMinggui ChenXiajing GongHualou LiangCharles D. GilbertLi ZhaopingSi WuMalte J. Rasch
- Journals
- Proceedings of the National Academy of Sciences (3 papers)iScience (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)Electronics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yin Yan
11 papers receiving 443 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 371
- Sensory Systems 30
- Cellular and Molecular Neuroscience 110
- Experimental and Cognitive Psychology 31
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Yin Yan
This map shows the geographic impact of Yin Yan'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 Yin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Yan more than expected).
Fields of papers citing papers by Yin Yan
This network shows the impact of papers produced by Yin Yan. 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 Yin Yan. The network helps show where Yin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yin Yan, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2022 | 5 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 52 | |
| 9 | 2017 | 59 | |
| 10 | 2015 | 25 | |
| 11 | 2014 | 100 | |
| 12 | 2014 | 130 | |
| 13 | 2013 | 26 |
About Yin Yan
Yin Yan is a scholar working on Cognitive Neuroscience, Sensory Systems, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience and Automotive Engineering, having authored 13 papers that have together received 445 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), Visual perception and processing mechanisms (7 papers), Neural and Behavioral Psychology Studies (4 papers), Visual Attention and Saliency Detection (3 papers), Face Recognition and Perception (2 papers), Neuroscience and Neural Engineering (2 papers), Photoreceptor and optogenetics research (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (371 citations), Sensory Systems (30 citations), Cellular and Molecular Neuroscience (110 citations), Experimental and Cognitive Psychology (31 citations) and Computer Vision and Pattern Recognition (47 citations). Yin Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wu Li, Minggui Chen, Xiajing Gong, Hualou Liang, Charles D. Gilbert, Li Zhaoping, Si Wu, Malte J. Rasch, Kun Guo and Feng Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, iScience, Journal of Neuroscience, Nature Communications and Electronics.
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.