Yichen Fang
Impact in
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- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
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- Advanced Memory and Neural Computing
- Ferroelectric and Negative Capacitance Devices
- Semiconductor materials and devices
Papers in
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- Advanced Memory and Neural Computing 28
- Ferroelectric and Negative Capacitance Devices 17
- Semiconductor materials and devices 6
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- Neuroscience and Neural Engineering 13
- Photoreceptor and optogenetics research 3
- Co-authors
- Zongwei Wang (24 shared papers)Zhizhen Yu (15 shared papers)Ru Huang (21 shared papers)Yuchao Yang (17 shared papers)Yimao Cai (19 shared papers)Yimao Cai (9 shared papers)Teng Zhang (5 shared papers)Jian Kang (8 shared papers)
- Journals
- Scientific Reports (2 papers)IEEE Electron Device Letters (2 papers)Science China Information Sciences (2 papers)Journal of Applied Physics (2 papers)Nanotechnology (2 papers)
- Partner nations
- ChinaUnited KingdomTaiwan
In The Last Decade
Yichen Fang
31 papers receiving 583 citations
Peers
Comparison fields: 5 of 37
- Cellular and Molecular Neuroscience 262
- Electrical and Electronic Engineering 577
- Polymers and Plastics 107
- Cognitive Neuroscience 67
- Artificial Intelligence 59
Countries citing papers authored by Yichen Fang
This map shows the geographic impact of Yichen Fang'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 Yichen Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yichen Fang more than expected).
Fields of papers citing papers by Yichen Fang
This network shows the impact of papers produced by Yichen Fang. 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 Yichen Fang. The network helps show where Yichen Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yichen Fang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2016 | 87 | |
| 3 | 2019 | 74 | |
| 4 | 2018 | 68 | |
| 5 | 2016 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2018 | 32 | |
| 8 | 2016 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 18 | |
| 12 | 2019 | 16 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 13 | |
| 15 | 1993 | 10 | |
| 16 | 2019 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2010 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2018 | 3 |
About Yichen Fang
Yichen Fang is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Polymers and Plastics, Cognitive Neuroscience and Artificial Intelligence, having authored 31 papers that have together received 599 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (28 papers), Ferroelectric and Negative Capacitance Devices (17 papers), Neuroscience and Neural Engineering (13 papers), Semiconductor materials and devices (6 papers), Transition Metal Oxide Nanomaterials (4 papers), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers) and Conducting polymers and applications (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (262 citations), Electrical and Electronic Engineering (577 citations), Polymers and Plastics (107 citations), Cognitive Neuroscience (67 citations) and Artificial Intelligence (59 citations). Yichen Fang has collaborated with scholars based in China, United Kingdom and Taiwan. Frequent co-authors include Zongwei Wang, Zhizhen Yu, Ru Huang, Yuchao Yang, Yimao Cai, Yimao Cai, Teng Zhang, Jian Kang, Ming Li and Qingyu Chen. Their work appears in journals such as Scientific Reports, IEEE Electron Device Letters, Science China Information Sciences, Journal of Applied Physics and Nanotechnology.
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.