Yan Shen
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Sociology and Political Science
- Electrical and Electronic Engineering
- Topics
- Advanced Neural Network Applications (9 papers)Advanced Image Fusion Techniques (7 papers)Human Pose and Action Recognition (6 papers)
- Journals
- IEEE AccessSensorsNeurocomputing
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Shen
71 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 493
- Artificial Intelligence 301
- Media Technology 114
- Sociology and Political Science 109
- Electrical and Electronic Engineering 82
Countries citing papers authored by Yan Shen
This map shows the geographic impact of Yan Shen'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 Yan Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Shen more than expected).
Fields of papers citing papers by Yan Shen
This network shows the impact of papers produced by Yan Shen. 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 Yan Shen. The network helps show where Yan Shen may publish in the future.
Co-authorship network of co-authors of Yan Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Shen. A scholar is included among the top collaborators of Yan Shen 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 Yan Shen. Yan Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 34 | |
| 12 | 120 | |
| 13 | Does Unsupervised Architecture Representation Learning Help Neural Architecture Search? | 7 |
| 14 | 31 | |
| 15 | 18 | |
| 16 | 11 | |
| 17 | 17 | |
| 18 | An ontology-based mining approach for user search intent discovery | 0 |
| 19 | 0 | |
| 20 | 0 |
About Yan Shen
Yan Shen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Hardware and Architecture, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Advanced Image Fusion Techniques (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (493 citations), Media Technology (114 citations) and Artificial Intelligence (301 citations). Yan Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bing Guo, Ya-Li Hou, Xuehan Xiong, Cordelia Schmid, Anurag Arnab, Emilio Ferrara, Mi Zhang, Zhichao Lu, Chen Sun and Emily Chen. Their work appears in journals such as IEEE Access, Sensors and Neurocomputing.
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.