Kejun Tu
Impact in
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- Electrocatalysts for Energy Conversion
- Advanced Photocatalysis Techniques
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- Advancements in Battery Materials
- Advanced Battery Materials and Technologies
- Advanced battery technologies research
- Advanced Memory and Neural Computing
Papers in
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- Neuroscience and Neural Engineering 11
- Photoreceptor and optogenetics research 3
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- Advanced Memory and Neural Computing 4
- Advanced Battery Materials and Technologies 2
- Advanced battery technologies research 2
- Co-authors
- Niall McEvoy (1 shared paper)Limei Pan (1 shared paper)Fei Du (1 shared paper)Huan Tang (1 shared paper)Wenlong Li (1 shared paper)Chuanfang Zhang (1 shared paper)Jian Yang (1 shared paper)Conor P. Cullen (1 shared paper)
- Journals
- Advanced Functional Materials (2 papers)Sensors and Actuators A Physical (2 papers)Nature Communications (1 paper)IEEE Electron Device Letters (1 paper)Chemistry - A European Journal (1 paper)
- Partner nations
- ChinaGermanySwitzerland
In The Last Decade
Kejun Tu
10 papers receiving 592 citations
Peers
Comparison fields: 5 of 47
- Renewable Energy, Sustainability and the Environment 240
- Electrical and Electronic Engineering 399
- Materials Chemistry 257
- Electrochemistry 29
- Catalysis 28
Countries citing papers authored by Kejun Tu
This map shows the geographic impact of Kejun Tu'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 Kejun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Tu more than expected).
Fields of papers citing papers by Kejun Tu
This network shows the impact of papers produced by Kejun Tu. 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 Kejun Tu. The network helps show where Kejun Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Tu, 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 | 2019 | 258 | |
| 2 | 2020 | 222 | |
| 3 | 2021 | 37 | |
| 4 | 2022 | 33 | |
| 5 | 2024 | 26 | |
| 6 | 2019 | 16 | |
| 7 | 2024 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2025 | 0 | |
| 12 | 2023 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 |
About Kejun Tu
Kejun Tu is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering, Cognitive Neuroscience, Neurology and Biomedical Engineering, having authored 14 papers that have together received 598 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (11 papers), EEG and Brain-Computer Interfaces (5 papers), Advanced Memory and Neural Computing (4 papers), Vagus Nerve Stimulation Research (3 papers), Photoreceptor and optogenetics research (3 papers), Advanced Battery Materials and Technologies (2 papers), Advanced battery technologies research (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (240 citations), Electrical and Electronic Engineering (399 citations), Materials Chemistry (257 citations), Electrochemistry (29 citations) and Catalysis (28 citations). Kejun Tu has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Niall McEvoy, Limei Pan, Fei Du, Huan Tang, Wenlong Li, Chuanfang Zhang, Jian Yang, Conor P. Cullen, Tai Qiu and Chenbao Lu. Their work appears in journals such as Advanced Functional Materials, Sensors and Actuators A Physical, Nature Communications, IEEE Electron Device Letters and Chemistry - A European Journal.
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.