Xue Bin Peng
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Michiel van de PannePieter AbbeelAtıl IşçenWenhao YuKen GoldbergSergey LevineTingnan ZhangSam Toyer
- Topics
- Advanced Decision-Making Techniques (3 papers)Reinforcement Learning in Robotics (3 papers)Recommender Systems and Techniques (2 papers)
- Cited by
- Control and Systems EngineeringComputer Vision and Pattern RecognitionArtificial Intelligence
- Partner nations
- United StatesCanadaChina
In The Last Decade
Xue Bin Peng
11 papers receiving 154 citations
Peers
Comparison fields: 5 of 34
- Control and Systems Engineering 87
- Biomedical Engineering 73
- Computer Vision and Pattern Recognition 60
- Artificial Intelligence 59
- Electrical and Electronic Engineering 15
Countries citing papers authored by Xue Bin Peng
This map shows the geographic impact of Xue Bin Peng'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 Xue Bin Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue Bin Peng more than expected).
Fields of papers citing papers by Xue Bin Peng
This network shows the impact of papers produced by Xue Bin Peng. 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 Xue Bin Peng. The network helps show where Xue Bin Peng may publish in the future.
Co-authorship network of co-authors of Xue Bin Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Xue Bin Peng. A scholar is included among the top collaborators of Xue Bin Peng 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 Xue Bin Peng. Xue Bin Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 25 | |
| 6 | 0 | |
| 7 | 53 | |
| 8 | 2 | |
| 9 | Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives | 2 |
| 10 | Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow | 23 |
| 11 | 2 | |
| 12 | 0 | |
| 13 | Learning Locomotion Skills Using DeepRL: Does the Choice of Action Space Matter? | 33 |
| 14 | 15 |
About Xue Bin Peng
Xue Bin Peng is a scholar working on Information Systems, Artificial Intelligence and Control and Systems Engineering, having authored 14 papers that have together received 160 indexed citations. Recurring topics across this work include Advanced Decision-Making Techniques (3 papers), Reinforcement Learning in Robotics (3 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Control and Systems Engineering (87 citations), Computer Vision and Pattern Recognition (60 citations) and Artificial Intelligence (59 citations). Xue Bin Peng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Michiel van de Panne, Pieter Abbeel, Atıl Işçen, Wenhao Yu, Ken Goldberg, Sergey Levine, Tingnan Zhang, Sam Toyer, Angjoo Kanazawa and Bo Fan. Their work appears in journals such as Pattern Recognition, Journal of Robotics and Beijing Hangkong Hangtian Daxue xuebao.
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.