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)Bin Huang (1 shared paper)Chuang Zhang (1 shared paper)
- Journals
- IEEE Transactions on Neural Networks and Learning Systems (3 papers)Review of Scientific Instruments (3 papers)Current Biology (2 papers)Fusion Science & Technology (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zichen He
32 papers receiving 345 citations
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 131
- Developmental Biology 13
- Automotive Engineering 35
- Ocean Engineering 45
- Artificial Intelligence 93
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 62 | |
| 2 | 2021 | 61 | |
| 3 | 2022 | 31 | |
| 4 | 2019 | 28 | |
| 5 | 2022 | 26 | |
| 6 | 2021 | 19 | |
| 7 | 2022 | 17 | |
| 8 | 2023 | 14 | |
| 9 | 2024 | 11 | |
| 10 | 2020 | 8 | |
| 11 | 2019 | 8 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2022 | 6 | |
| 16 | 2025 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2021 | 4 |
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 32 papers that have together received 361 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Laser-induced spectroscopy and plasma (5 papers), Reinforcement Learning in Robotics (4 papers), Plasma Diagnostics and Applications (4 papers), Distributed Control Multi-Agent Systems (3 papers), High voltage insulation and dielectric phenomena (3 papers), Robotics and Sensor-Based Localization (3 papers) and Atomic and Molecular Physics (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (131 citations), Developmental Biology (13 citations), Automotive Engineering (35 citations), Ocean Engineering (45 citations) and Artificial Intelligence (93 citations). Zichen He has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lu Dong, Changyin Sun, Chunwei Song, Jiawei Wang, Tingting Cai, Katherine Tschida, Bin Huang, Chuang Zhang, Ming Wu and Jinyu Chen. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Review of Scientific Instruments, Current Biology, Fusion Science & Technology and Scientific Reports.
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.