Hsin‐Hao Yu
Impact in
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Functional Brain Connectivity Studies
- Memory and Neural Mechanisms
- Sensory Systems top 5%
Papers in
-
- Neural dynamics and brain function 23
- Visual perception and processing mechanisms 20
- Functional Brain Connectivity Studies 2
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- Olfactory and Sensory Function Studies 4
- Co-authors
- Marcello G. P. RosaTristan A. ChaplinDavid H. ReserKathleen J. BurmanJuliana G. M. SoaresRicardo GattassKatrina H. WorthyRicha Verma
- Journals
- Journal of Neuroscience (7 papers)The Journal of Comparative Neurology (4 papers)Cerebral Cortex (3 papers)Neurocomputing (1 paper)Scientific Reports (1 paper)
- Partner nations
- AustraliaUnited StatesPoland
In The Last Decade
Hsin‐Hao Yu
27 papers receiving 923 citations
Peers
Comparison fields: 5 of 74
- Cognitive Neuroscience 786
- Sensory Systems 65
- Cellular and Molecular Neuroscience 216
- Radiology, Nuclear Medicine and Imaging 154
- Developmental Biology 14
Countries citing papers authored by Hsin‐Hao Yu
This map shows the geographic impact of Hsin‐Hao Yu'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 Hsin‐Hao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐Hao Yu more than expected).
Fields of papers citing papers by Hsin‐Hao Yu
This network shows the impact of papers produced by Hsin‐Hao Yu. 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 Hsin‐Hao Yu. The network helps show where Hsin‐Hao Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin‐Hao Yu, 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 | 2021 | 8 | |
| 2 | 2021 | 0 | |
| 3 | 2020 | 33 | |
| 4 | 2019 | 5 | |
| 5 | 2018 | 26 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 7 | |
| 8 | 2016 | 2 | |
| 9 | 2016 | 29 | |
| 10 | 2016 | 5 | |
| 11 | 2016 | 88 | |
| 12 | 2014 | 23 | |
| 13 | 2013 | 30 | |
| 14 | 2013 | 134 | |
| 15 | 2013 | 29 | |
| 16 | 2012 | 72 | |
| 17 | 2012 | 43 | |
| 18 | 2010 | 19 | |
| 19 | 2010 | 58 | |
| 20 | 2009 | 91 |
About Hsin‐Hao Yu
Hsin‐Hao Yu is a scholar working on Cognitive Neuroscience, Sensory Systems, Cellular and Molecular Neuroscience, Biophysics and Electrochemistry, having authored 28 papers that have together received 927 indexed citations. Recurring topics across this work include Neural dynamics and brain function (23 papers), Visual perception and processing mechanisms (20 papers), Neurobiology and Insect Physiology Research (7 papers), Retinal Development and Disorders (6 papers), Olfactory and Sensory Function Studies (4 papers), Retinal Imaging and Analysis (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Cognitive Neuroscience (786 citations), Sensory Systems (65 citations), Cellular and Molecular Neuroscience (216 citations), Radiology, Nuclear Medicine and Imaging (154 citations) and Developmental Biology (14 citations). Hsin‐Hao Yu has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include Marcello G. P. Rosa, Tristan A. Chaplin, David H. Reser, Kathleen J. Burman, Juliana G. M. Soares, Ricardo Gattass, Katrina H. Worthy, Richa Verma, Karyn Richardson and Piotr Majka. Their work appears in journals such as Journal of Neuroscience, The Journal of Comparative Neurology, Cerebral Cortex, Neurocomputing and Scientific Reports.
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.