Xinyang Geng
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Control and Systems Engineering
- Computer Graphics and Computer-Aided Design top 5%
- Media Technology top 10%
- Co-authors
- Alexei A. EfrosJun-Yan ZhuRichard ZhangAngela S. LinTianhe YuPhillip IsolaPieter AbbeelSergey Levine
- Topics
- Machine Learning and Data Classification (2 papers)Reinforcement Learning in Robotics (2 papers)Modular Robots and Swarm Intelligence (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- ACM Transactions on GraphicsIEEE Transactions on RoboticsarXiv (Cornell University)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Xinyang Geng
7 papers receiving 470 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 346
- Artificial Intelligence 85
- Control and Systems Engineering 50
- Computer Graphics and Computer-Aided Design 47
- Media Technology 44
Countries citing papers authored by Xinyang Geng
This map shows the geographic impact of Xinyang Geng'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 Xinyang Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyang Geng more than expected).
Fields of papers citing papers by Xinyang Geng
This network shows the impact of papers produced by Xinyang Geng. 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 Xinyang Geng. The network helps show where Xinyang Geng may publish in the future.
Co-authorship network of co-authors of Xinyang Geng
This figure shows the co-authorship network connecting the top 25 collaborators of Xinyang Geng. A scholar is included among the top collaborators of Xinyang Geng 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 Xinyang Geng. Xinyang Geng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 37 | |
| 3 | 3 | |
| 4 | Dynamical Distance Learning for Unsupervised and Semi-Supervised Skill Discovery. | 2 |
| 5 | Automatic Goal Generation for Reinforcement Learning Agents | 29 |
| 6 | 67 | |
| 7 | 331 |
About Xinyang Geng
Xinyang Geng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics, having authored 7 papers that have together received 492 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Reinforcement Learning in Robotics (2 papers) and Modular Robots and Swarm Intelligence (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (346 citations), Computer Graphics and Computer-Aided Design (47 citations) and Media Technology (44 citations). Xinyang Geng has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Alexei A. Efros, Jun-Yan Zhu, Richard Zhang, Angela S. Lin, Tianhe Yu, Phillip Isola, Pieter Abbeel, Sergey Levine, Marvin Zhang and Ken Caluwaerts. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Robotics and arXiv (Cornell University).
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.