Zichen He
Impact in
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- Robotic Path Planning Algorithms
Papers in
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- Robotic Path Planning Algorithms 9
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- Reinforcement Learning in Robotics 4
- Co-authors
- Lu Dong (7 shared papers)Changyin Sun (7 shared papers)Chunwei Song (5 shared papers)Jiawei Wang (4 shared papers)Tingting Cai (1 shared paper)Katherine Tschida (2 shared papers)Chao Xie (1 shared paper)Kaiyan Chen (1 shared paper)
- Journals
- Review of Scientific Instruments (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Current Biology (2 papers)Artificial Intelligence Review (1 paper)Optics and Lasers in Engineering (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zichen He
32 papers receiving 386 citations
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 147
- Developmental Biology 12
- Automotive Engineering 39
- Ocean Engineering 46
- Artificial Intelligence 98
Countries citing papers authored by Zichen He
This map shows the geographic impact of Zichen He'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 Zichen He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zichen He more than expected).
Fields of papers citing papers by Zichen He
This network shows the impact of papers produced by Zichen He. 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 Zichen He. The network helps show where Zichen He may publish in the future.
Co-authors
The 25 scholars most cited alongside Zichen He, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 71 | |
| 2 | 2021 | 65 | |
| 3 | 2022 | 32 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2023 | 17 | |
| 9 | 2025 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2019 | 9 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 5 |
About Zichen He
Zichen He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Mechanics of Materials, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 401 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Laser-induced spectroscopy and plasma (5 papers), Plasma Diagnostics and Applications (4 papers), Reinforcement Learning in Robotics (4 papers), Robotics and Sensor-Based Localization (3 papers), Distributed Control Multi-Agent Systems (3 papers), Atomic and Molecular Physics (3 papers) and High voltage insulation and dielectric phenomena (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Developmental Biology (12 citations), Automotive Engineering (39 citations), Ocean Engineering (46 citations) and Artificial Intelligence (98 citations). Zichen He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lu Dong, Changyin Sun, Chunwei Song, Jiawei Wang, Tingting Cai, Katherine Tschida, Chao Xie, Kaiyan Chen, Bin Huang and Chi Zhang. Their work appears in journals such as Review of Scientific Instruments, IEEE Transactions on Neural Networks and Learning Systems, Current Biology, Artificial Intelligence Review and Optics and Lasers in Engineering.
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.