Nihong Chen
Impact in
- Cognitive Neuroscience top 5%
- Visual perception and processing mechanisms
- Face Recognition and Perception
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Autism Spectrum Disorder Research
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- Transcranial Magnetic Stimulation Studies
Papers in
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- Visual perception and processing mechanisms 23
- Face Recognition and Perception 1
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- Metamaterials and Metasurfaces Applications 1
- Co-authors
- Fang Fang (11 shared papers)Tiangang Zhou (4 shared papers)Benjamin S. Thompson (3 shared papers)Taiyong Bi (3 shared papers)Bosco S. Tjan (2 shared papers)Zili Liu (1 shared paper)Sheng Li (1 shared paper)MiYoung Kwon (2 shared papers)
- Journals
- Experimental Brain Research (3 papers)Journal of Vision (3 papers)Science China Technological Sciences (2 papers)Journal of Neuroscience (2 papers)Neuroscience Bulletin (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Nihong Chen
23 papers receiving 285 citations
Peers
Comparison fields: 5 of 12
- Cognitive Neuroscience 213
- Neurology 18
- Experimental and Cognitive Psychology 3
- Ophthalmology 2
- Epidemiology 6
Countries citing papers authored by Nihong Chen
This map shows the geographic impact of Nihong Chen'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 Nihong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nihong Chen more than expected).
Fields of papers citing papers by Nihong Chen
This network shows the impact of papers produced by Nihong Chen. 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 Nihong Chen. The network helps show where Nihong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nihong Chen, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 67 | |
| 2 | 2015 | 47 | |
| 3 | 2010 | 34 | |
| 4 | 2019 | 26 | |
| 5 | 2014 | 21 | |
| 6 | 2017 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2011 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2012 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Nihong Chen
Nihong Chen is a scholar working on Cognitive Neuroscience, Electronic, Optical and Magnetic Materials, Psychiatry and Mental health, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 26 papers that have together received 286 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (23 papers), Face Recognition and Perception (1 paper), Metamaterials and Metasurfaces Applications (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Cognitive Neuroscience (213 citations), Neurology (18 citations), Experimental and Cognitive Psychology (3 citations), Ophthalmology (2 citations) and Epidemiology (6 citations). Nihong Chen has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Fang Fang, Tiangang Zhou, Benjamin S. Thompson, Taiyong Bi, Bosco S. Tjan, Zili Liu, Sheng Li, MiYoung Kwon, Pinglei Bao and Rachel Millin. Their work appears in journals such as Experimental Brain Research, Journal of Vision, Science China Technological Sciences, Journal of Neuroscience and Neuroscience Bulletin.
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.