Yin Li
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 1%
- Cognitive Neuroscience top 5%
- Media Technology top 1%
- Aerospace Engineering top 5%
- Co-authors
- Heung‐Yeung ShumJian SunJames M. RehgChi–Keung TangAlan YuilleXiaodi HouChristof KochKevin W. Eliceiri
- Topics
- Advanced Neural Network Applications (17 papers)Advanced Vision and Imaging (16 papers)Advanced Image and Video Retrieval Techniques (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignHuman-Computer Interaction
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingACM Transactions on Graphics
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yin Li
86 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Computer Vision and Pattern Recognition 4.3k
- Artificial Intelligence 1.1k
- Cognitive Neuroscience 409
- Media Technology 401
- Aerospace Engineering 329
Countries citing papers authored by Yin Li
This map shows the geographic impact of Yin Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Li more than expected).
Fields of papers citing papers by Yin Li
This network shows the impact of papers produced by Yin Li. 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 Li. The network helps show where Yin Li may publish in the future.
Co-authorship network of co-authors of Yin Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yin Li. A scholar is included among the top collaborators of Yin Li 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 Yin Li. Yin Li 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 | 8 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 25 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learningbreakdown → | 400 |
| 13 | 31 | |
| 14 | Beyond Grids: Learning Graph Representations for Visual Recognition | 98 |
| 15 | 1 | |
| 16 | 101 | |
| 17 | Research on the Multi-step Prediction of Volterra Neural Network for Traffic Flow | 4 |
| 18 | Treatment of mining wastewater by nanofiltration | 2 |
| 19 | Environmental safety monitoring based on information optimization fusion in coal mines | 2 |
| 20 | 1 |
About Yin Li
Yin Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 95 papers that have together received 5.3k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Advanced Vision and Imaging (16 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.3k citations), Computer Graphics and Computer-Aided Design (329 citations) and Human-Computer Interaction (292 citations). Yin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Heung‐Yeung Shum, Jian Sun, James M. Rehg, Chi–Keung Tang, Alan Yuille, Xiaodi Hou, Christof Koch, Kevin W. Eliceiri, Bin Li and Sing Bing Kang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and ACM Transactions on Graphics.
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.