Bowen Ji
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- Neuroscience and Neural Engineering 47
- Photoreceptor and optogenetics research 17
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 18
- Neural dynamics and brain function 14
- Tactile and Sensory Interactions 9
- Polymers and Plastics top 10%
- Conducting polymers and applications 18
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 26
- Bioengineering top 10%
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- Advanced Memory and Neural Computing 14
- Co-authors
- Jingquan LiuMinghao WangBin YangXiaolin WangZhejun GuoZhaoqian XieLongchun WangChengyu Li
- Journals
- IEEE Sensors Journal (7 papers)Biosensors and Bioelectronics (6 papers)Biosensors (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Bowen Ji
74 papers receiving 802 citations
Peers
Comparison fields: 5 of 83
- Cellular and Molecular Neuroscience 438
- Cognitive Neuroscience 272
- Polymers and Plastics 142
- Biomedical Engineering 370
- Bioengineering 34
Countries citing papers authored by Bowen Ji
This map shows the geographic impact of Bowen Ji'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 Bowen Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Ji more than expected).
Fields of papers citing papers by Bowen Ji
This network shows the impact of papers produced by Bowen Ji. 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 Bowen Ji. The network helps show where Bowen Ji may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bowen Ji, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 12 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2023 | 3 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 11 |
About Bowen Ji
Bowen Ji is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Polymers and Plastics, Biomedical Engineering and Human-Computer Interaction, having authored 84 papers that have together received 826 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (47 papers), Advanced Sensor and Energy Harvesting Materials (26 papers), Conducting polymers and applications (18 papers), EEG and Brain-Computer Interfaces (18 papers), Photoreceptor and optogenetics research (17 papers), Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (14 papers) and Tactile and Sensory Interactions (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (438 citations), Cognitive Neuroscience (272 citations), Polymers and Plastics (142 citations), Biomedical Engineering (370 citations) and Bioengineering (34 citations). Bowen Ji has collaborated with scholars based in China, United States and France. Frequent co-authors include Jingquan Liu, Minghao Wang, Bin Yang, Xiaolin Wang, Zhejun Guo, Zhaoqian Xie, Longchun Wang, Chengyu Li, Xiaowei Gu and Wen Li. Their work appears in journals such as IEEE Sensors Journal, Biosensors and Bioelectronics, Biosensors, Journal of Neural Engineering and Sensors.
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.