Wen‐Jing Yan
- Experimental and Cognitive Psychology top 0.5%
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Cognitive Neuroscience top 5%
- Human-Computer Interaction top 0.5%
- Topics
- Child and Adolescent Psychosocial and Emotional Development (14 papers)Emotion and Mood Recognition (13 papers)Mental Health Research Topics (11 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
In The Last Decade
Wen‐Jing Yan
68 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Experimental and Cognitive Psychology 1.7k
- Computer Vision and Pattern Recognition 1.6k
- Artificial Intelligence 553
- Cognitive Neuroscience 426
- Human-Computer Interaction 403
Countries citing papers authored by Wen‐Jing Yan
This map shows the geographic impact of Wen‐Jing 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 Wen‐Jing Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Jing Yan more than expected).
Fields of papers citing papers by Wen‐Jing Yan
This network shows the impact of papers produced by Wen‐Jing 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 Wen‐Jing Yan. The network helps show where Wen‐Jing Yan may publish in the future.
Co-authorship network of co-authors of Wen‐Jing Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Jing Yan. A scholar is included among the top collaborators of Wen‐Jing Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen‐Jing Yan. Wen‐Jing Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 0 | |
| 14 | 11 | |
| 15 | 26 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | 21 | |
| 19 | CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluationbreakdown → | 609 |
| 20 | 14 |
About Wen‐Jing Yan
Wen‐Jing Yan is a scholar working on Experimental and Cognitive Psychology, Computational Mathematics and Clinical Psychology, having authored 80 papers that have together received 3.0k indexed citations. Recurring topics across this work include Child and Adolescent Psychosocial and Emotional Development (14 papers), Emotion and Mood Recognition (13 papers) and Mental Health Research Topics (11 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.7k citations), Computer Vision and Pattern Recognition (1.6k citations) and Human-Computer Interaction (403 citations). Wen‐Jing Yan has collaborated with scholars based in China, Finland and Germany. Frequent co-authors include Xiaolan Fu, Sujing Wang, Yong‐Jin Liu, Guoying Zhao, Xiaobai Li, Yu‐Hsin Chen, Yu‐Hsin Chen, Qi Wu, Jing Liang and Jinkai Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.