Yuheng Li
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics
- Signal Processing
- Co-authors
- Yong Jae LeeChunyuan LiHaotian LiuJianwei YangQingyang WuJianfeng GaoFangzhou MuKrishna Kumar Singh
- Topics
- Generative Adversarial Networks and Image Synthesis (6 papers)Domain Adaptation and Few-Shot Learning (3 papers)Advanced Image Processing Techniques (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yuheng Li
7 papers receiving 751 citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 502
- Artificial Intelligence 266
- Computer Graphics and Computer-Aided Design 99
- Computational Mechanics 50
- Signal Processing 37
Countries citing papers authored by Yuheng Li
This map shows the geographic impact of Yuheng 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 Yuheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuheng Li more than expected).
Fields of papers citing papers by Yuheng Li
This network shows the impact of papers produced by Yuheng 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 Yuheng Li. The network helps show where Yuheng Li may publish in the future.
Co-authorship network of co-authors of Yuheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yuheng Li. A scholar is included among the top collaborators of Yuheng 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 Yuheng Li. Yuheng 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 | 2 | |
| 3 | 0 | |
| 4 | Improved Baselines with Visual Instruction Tuningbreakdown → | 391 |
| 5 | 0 | |
| 6 | 0 | |
| 7 | GLIGEN: Open-Set Grounded Text-to-Image Generationbreakdown → | 213 |
| 8 | 58 | |
| 9 | 41 | |
| 10 | 46 | |
| 11 | 21 |
About Yuheng Li
Yuheng Li is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 772 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (6 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Advanced Image Processing Techniques (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (99 citations), Computer Vision and Pattern Recognition (502 citations) and Artificial Intelligence (266 citations). Yuheng Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yong Jae Lee, Chunyuan Li, Haotian Liu, Jianwei Yang, Qingyang Wu, Haotian Liu, Jianfeng Gao, Fangzhou Mu, Krishna Kumar Singh and Xue Yang. Their work appears in journals such as International Journal of Computer Vision, Remote Sensing and Information.
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.