Yonglong Tian
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Aerospace Engineering top 5%
- Co-authors
- Xiaoou TangXiaogang WangPing LuoDina KatabiHang ZhaoTianhong LiMohammad Abu AlsheikhAntonio Torralba
- Topics
- Human Pose and Action Recognition (6 papers)Advanced Neural Network Applications (5 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceChemical Engineering JournalJournal of Applied Polymer Science
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Yonglong Tian
21 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 498
- Electrical and Electronic Engineering 442
- Biomedical Engineering 395
- Aerospace Engineering 224
Countries citing papers authored by Yonglong Tian
This map shows the geographic impact of Yonglong Tian'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 Yonglong Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonglong Tian more than expected).
Fields of papers citing papers by Yonglong Tian
This network shows the impact of papers produced by Yonglong Tian. 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 Yonglong Tian. The network helps show where Yonglong Tian may publish in the future.
Co-authorship network of co-authors of Yonglong Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Yonglong Tian. A scholar is included among the top collaborators of Yonglong Tian 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 Yonglong Tian. Yonglong Tian 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 | 2 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 33 | |
| 10 | 20 | |
| 11 | 12 | |
| 12 | What Makes for Good Views for Contrastive Learning | 49 |
| 13 | 8 | |
| 14 | Probgan: Towards probabilistic GaN with theoretical guarantees | 13 |
| 15 | Learning to Infer and Execute 3D Shape Programs | 15 |
| 16 | Representation Learning on Graphs with Jumping Knowledge Networks | 131 |
| 17 | 131 | |
| 18 | 283 | |
| 19 | 132 | |
| 20 | Deep Learning Strong Parts for Pedestrian Detectionbreakdown → | 376 |
About Yonglong Tian
Yonglong Tian is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (6 papers), Advanced Neural Network Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Human-Computer Interaction (192 citations) and Artificial Intelligence (498 citations). Yonglong Tian has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xiaoou Tang, Xiaogang Wang, Ping Luo, Dina Katabi, Hang Zhao, Tianhong Li, Mohammad Abu Alsheikh, Antonio Torralba, M. Zhao and Zachary Kabelac. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Chemical Engineering Journal and Journal of Applied Polymer Science.
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.