Chenxing Jin
Impact in
- Polymers and Plastics top 10%
- Conducting polymers and applications
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- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
Papers in
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- Advanced Memory and Neural Computing 29
- CCD and CMOS Imaging Sensors 8
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- Neuroscience and Neural Engineering 7
- Photoreceptor and optogenetics research 6
- Co-authors
- Jia Sun (32 shared papers)Junliang Yang (26 shared papers)Yunchao Xu (13 shared papers)Wanrong Liu (17 shared papers)Yulong Huang (6 shared papers)Gengming Zhang (8 shared papers)Wanrong Liu (10 shared papers)Pei He (2 shared papers)
- Journals
- Applied Physics Letters (11 papers)Nano Letters (3 papers)Journal of Physics D Applied Physics (2 papers)The Journal of Physical Chemistry Letters (2 papers)Applied Physics A (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chenxing Jin
28 papers receiving 527 citations
Peers
Comparison fields: 5 of 33
- Polymers and Plastics 188
- Cellular and Molecular Neuroscience 215
- Electrical and Electronic Engineering 498
- Artificial Intelligence 82
- Bioengineering 14
Countries citing papers authored by Chenxing Jin
This map shows the geographic impact of Chenxing Jin'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 Chenxing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenxing Jin more than expected).
Fields of papers citing papers by Chenxing Jin
This network shows the impact of papers produced by Chenxing Jin. 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 Chenxing Jin. The network helps show where Chenxing Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenxing Jin, 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 | 2022 | 110 | |
| 2 | 2021 | 69 | |
| 3 | 2023 | 40 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 28 | |
| 6 | 2021 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2024 | 19 | |
| 11 | 2024 | 18 | |
| 12 | 2023 | 16 | |
| 13 | 2024 | 16 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2022 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2022 | 8 |
About Chenxing Jin
Chenxing Jin is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Artificial Intelligence and Cognitive Neuroscience, having authored 33 papers that have together received 552 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (29 papers), Conducting polymers and applications (9 papers), CCD and CMOS Imaging Sensors (8 papers), Neuroscience and Neural Engineering (7 papers), Neural Networks and Reservoir Computing (6 papers), Photoreceptor and optogenetics research (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Transition Metal Oxide Nanomaterials (3 papers). The work is most often cited by research in Polymers and Plastics (188 citations), Cellular and Molecular Neuroscience (215 citations), Electrical and Electronic Engineering (498 citations), Artificial Intelligence (82 citations) and Bioengineering (14 citations). Chenxing Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jia Sun, Junliang Yang, Yunchao Xu, Wanrong Liu, Yulong Huang, Gengming Zhang, Wanrong Liu, Pei He, Jian Zhang and Hongtao Cao. Their work appears in journals such as Applied Physics Letters, Nano Letters, Journal of Physics D Applied Physics, The Journal of Physical Chemistry Letters and Applied Physics A.
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.