Yihan Wu
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Kendrick KayEmily AllenThomas NaselarisGhislain St-YvesIan CharestBen HutchinsonJacob S. PrinceMatthias Nau
- Topics
- Software System Performance and Reliability (7 papers)Neural dynamics and brain function (5 papers)Face Recognition and Perception (5 papers)
- Cited by
- Cognitive NeuroscienceExperimental and Cognitive PsychologyComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yihan Wu
24 papers receiving 349 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Cognitive Neuroscience 232
- Computer Vision and Pattern Recognition 63
- Experimental and Cognitive Psychology 46
- Artificial Intelligence 43
- Radiology, Nuclear Medicine and Imaging 29
Countries citing papers authored by Yihan Wu
This map shows the geographic impact of Yihan Wu'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 Yihan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yihan Wu more than expected).
Fields of papers citing papers by Yihan Wu
This network shows the impact of papers produced by Yihan Wu. 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 Yihan Wu. The network helps show where Yihan Wu may publish in the future.
Co-authorship network of co-authors of Yihan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Yihan Wu. A scholar is included among the top collaborators of Yihan Wu 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 Yihan Wu. Yihan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 29 | |
| 8 | 5 | |
| 9 | A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligencebreakdown → | 211 |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 3 |
About Yihan Wu
Yihan Wu is a scholar working on Cognitive Neuroscience, Information Systems and Biophysics, having authored 24 papers that have together received 356 indexed citations. Recurring topics across this work include Software System Performance and Reliability (7 papers), Neural dynamics and brain function (5 papers) and Face Recognition and Perception (5 papers). The work is most often cited by research in Cognitive Neuroscience (232 citations), Experimental and Cognitive Psychology (46 citations) and Computer Vision and Pattern Recognition (63 citations). Yihan Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kendrick Kay, Emily Allen, Thomas Naselaris, Ghislain St-Yves, Ian Charest, Ben Hutchinson, Jacob S. Prince, Matthias Nau, Bradley Caron and Franco Pestilli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Neuroscience.
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.