Peng Zhai
- Biomedical Engineering top 5%
- Electrical and Electronic Engineering top 10%
- Polymers and Plastics top 5%
- Cognitive Neuroscience top 10%
- Electronic, Optical and Magnetic Materials
- Topics
- Reinforcement Learning in Robotics (6 papers)Adversarial Robustness in Machine Learning (4 papers)Robot Manipulation and Learning (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peng Zhai
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Biomedical Engineering 676
- Electrical and Electronic Engineering 366
- Polymers and Plastics 342
- Cognitive Neuroscience 173
- Electronic, Optical and Magnetic Materials 151
Countries citing papers authored by Peng Zhai
This map shows the geographic impact of Peng Zhai'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 Peng Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Zhai more than expected).
Fields of papers citing papers by Peng Zhai
This network shows the impact of papers produced by Peng Zhai. 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 Peng Zhai. The network helps show where Peng Zhai may publish in the future.
Co-authorship network of co-authors of Peng Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Zhai. A scholar is included among the top collaborators of Peng Zhai 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 Peng Zhai. Peng Zhai 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Design and fabrication of wearable electronic textiles using twisted fiber-based threadsbreakdown → | 60 |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 0 | |
| 16 | Large-area display textiles integrated with functional systemsbreakdown → | 853 |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Worship of Flower God and Ecological Aesthetic Taste of the Zhuang Nationality | 0 |
| 20 | 19 |
About Peng Zhai
Peng Zhai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Adversarial Robustness in Machine Learning (4 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Polymers and Plastics (342 citations), Biomedical Engineering (676 citations) and Human-Computer Interaction (83 citations). Peng Zhai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Lihua Zhang, Xiang Shi, Huisheng Peng, Jiahao Shen, Bingjie Wang, Jingxia Wu, Qi Tong, Peining Chen, Yong Zuo and Xuemei Sun. Their work appears in journals such as Nature, Nature Protocols and IEEE Transactions on Industry Applications.
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.