Peiyan Zhang
Impact in
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- Robotic Path Planning Algorithms
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- Synthesis and properties of polymers
Papers in
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- Recommender Systems and Techniques 13
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- Robotic Path Planning Algorithms 4
- Co-authors
- Jie Dong (2 shared papers)Xin Zhao (2 shared papers)Xiuting Li (1 shared paper)Feng Gan (1 shared paper)Chaozhuo Li (7 shared papers)Qinghua Zhang (1 shared paper)Tingting Wu (1 shared paper)Kevin J. De France (1 shared paper)
- Journals
- Measurement (1 paper)Robotica (1 paper)The International Journal of Advanced Manufacturing Technology (1 paper)Future Generation Computer Systems (1 paper)Laser & Photonics Review (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Peiyan Zhang
35 papers receiving 475 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 114
- Polymers and Plastics 77
- Information Systems 121
- Artificial Intelligence 125
- Management Science and Operations Research 35
Countries citing papers authored by Peiyan Zhang
This map shows the geographic impact of Peiyan Zhang'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 Peiyan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peiyan Zhang more than expected).
Fields of papers citing papers by Peiyan Zhang
This network shows the impact of papers produced by Peiyan Zhang. 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 Peiyan Zhang. The network helps show where Peiyan Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peiyan Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 66 | |
| 2 | 2020 | 57 | |
| 3 | 2004 | 39 | |
| 4 | 2021 | 37 | |
| 5 | 2004 | 32 | |
| 6 | 2022 | 29 | |
| 7 | 2018 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2024 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2024 | 15 | |
| 12 | 2023 | 13 | |
| 13 | 2008 | 12 | |
| 14 | 2024 | 11 | |
| 15 | 2012 | 11 | |
| 16 | 2018 | 9 | |
| 17 | 2025 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2007 | 7 | |
| 20 | 2024 | 6 |
About Peiyan Zhang
Peiyan Zhang is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering and Biomedical Engineering, having authored 37 papers that have together received 482 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Advanced Graph Neural Networks (6 papers), Robot Manipulation and Learning (4 papers), Robotic Path Planning Algorithms (4 papers), Robotic Locomotion and Control (4 papers), Human Mobility and Location-Based Analysis (3 papers), Perovskite Materials and Applications (3 papers) and Control and Dynamics of Mobile Robots (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (114 citations), Polymers and Plastics (77 citations), Information Systems (121 citations), Artificial Intelligence (125 citations) and Management Science and Operations Research (35 citations). Peiyan Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jie Dong, Xin Zhao, Xiuting Li, Feng Gan, Chaozhuo Li, Qinghua Zhang, Tingting Wu, Kevin J. De France, Qinghua Zhang and Sung Hun Kim. Their work appears in journals such as Measurement, Robotica, The International Journal of Advanced Manufacturing Technology, Future Generation Computer Systems and Laser & Photonics Review.
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.