Jiayi Shen
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 5%
- Biomedical Engineering
- Media Technology top 10%
- Topics
- Domain Adaptation and Few-Shot Learning (7 papers)Catalytic C–H Functionalization Methods (4 papers)Video Surveillance and Tracking Methods (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionSafety, Risk, Reliability and QualityArtificial Intelligence
- Partner nations
- ChinaNetherlandsUnited Arab Emirates
In The Last Decade
Jiayi Shen
30 papers receiving 531 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 355
- Artificial Intelligence 237
- Safety, Risk, Reliability and Quality 80
- Biomedical Engineering 55
- Media Technology 48
Countries citing papers authored by Jiayi Shen
This map shows the geographic impact of Jiayi 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 Jiayi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayi Shen more than expected).
Fields of papers citing papers by Jiayi Shen
This network shows the impact of papers produced by Jiayi 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 Jiayi Shen. The network helps show where Jiayi Shen may publish in the future.
Co-authorship network of co-authors of Jiayi Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Jiayi Shen. A scholar is included among the top collaborators of Jiayi 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 Jiayi Shen. Jiayi 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 | 1 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 30 | |
| 9 | 7 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 8 | |
| 14 | 7 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 3 | |
| 18 | UMEC: Unified model and embedding compression for efficient recommendation systems | 2 |
| 19 | 5 | |
| 20 | 121 |
About Jiayi Shen
Jiayi Shen is a scholar working on Computer Vision and Pattern Recognition, Process Chemistry and Technology and Artificial Intelligence, having authored 34 papers that have together received 537 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (7 papers), Catalytic C–H Functionalization Methods (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (355 citations), Safety, Risk, Reliability and Quality (80 citations) and Artificial Intelligence (237 citations). Jiayi Shen has collaborated with scholars based in China, Netherlands and United Arab Emirates. Frequent co-authors include Xiantong Zhen, Xianbin Cao, Ling Shao, Fan Zhu, Zehao Xiao, Efstratios Gavves, Haochen Wang, Lei Yue, Dong Xu and Yan Li. Their work appears in journals such as Nucleic Acids Research, Nature Communications and ACS Catalysis.
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.