I-han Chou
Impact in
- Cognitive Neuroscience top 2%
- Visual perception and processing mechanisms
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- Memory and Neural Mechanisms
- Motor Control and Adaptation
- EEG and Brain-Computer Interfaces
- Neurology top 10%
- Vestibular and auditory disorders
Papers in
-
- Visual perception and processing mechanisms 8
- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 3
- Neural and Behavioral Psychology Studies 2
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- Retinal Development and Disorders 3
- Co-authors
- Peter H. Schiller (5 shared papers)Marc A. Sommer (2 shared papers)Stephen G. Lisberger (4 shared papers)Kalyani Narasimhan (1 shared paper)Warren M. Slocum (1 shared paper)Edward J. Tehovnik (1 shared paper)Mark M. Churchland (1 shared paper)Nicholas J. Priebe (1 shared paper)
- Journals
- Vision Research (3 papers)Nature (2 papers)Nature Neuroscience (2 papers)Journal of Neuroscience (2 papers)Neuron (1 paper)
- Partner nations
- United States
In The Last Decade
I-han Chou
11 papers receiving 736 citations
Peers
Comparison fields: 5 of 72
- Cognitive Neuroscience 624
- Neurology 100
- Cellular and Molecular Neuroscience 151
- Sensory Systems 28
- Ophthalmology 41
Countries citing papers authored by I-han Chou
This map shows the geographic impact of I-han Chou'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 I-han Chou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I-han Chou more than expected).
Fields of papers citing papers by I-han Chou
This network shows the impact of papers produced by I-han Chou. 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 I-han Chou. The network helps show where I-han Chou may publish in the future.
Co-authors
The 15 scholars most cited alongside I-han Chou, 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 | 2000 | 238 | |
| 2 | 1998 | 124 | |
| 3 | 2005 | 104 | |
| 4 | 1999 | 79 | |
| 5 | 2003 | 74 | |
| 6 | 2003 | 37 | |
| 7 | 2000 | 35 | |
| 8 | 2004 | 26 | |
| 9 | 2000 | 26 | |
| 10 | 2002 | 18 | |
| 11 | 2004 | 4 | |
| 12 | 2007 | 1 |
About I-han Chou
I-han Chou is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 766 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (8 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (3 papers), Retinal Development and Disorders (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Neural and Behavioral Psychology Studies (2 papers), Neurobiology and Insect Physiology Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cognitive Neuroscience (624 citations), Neurology (100 citations), Cellular and Molecular Neuroscience (151 citations), Sensory Systems (28 citations) and Ophthalmology (41 citations). I-han Chou has collaborated with scholars based in United States. Frequent co-authors include Peter H. Schiller, Marc A. Sommer, Stephen G. Lisberger, Kalyani Narasimhan, Warren M. Slocum, Edward J. Tehovnik, Mark M. Churchland, Nicholas J. Priebe, Justin L. Gardner and Anne K. Churchland. Their work appears in journals such as Vision Research, Nature, Nature Neuroscience, Journal of Neuroscience and Neuron.
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.