Hsin-Chi Wu
Impact in
- Cognitive Neuroscience top 10%
- Neuroscience and Music Perception
- Hearing Loss and Rehabilitation
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- Reading and Literacy Development
- Language Development and Disorders
Papers in
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- Neuroscience and Music Perception 4
- Hearing Loss and Rehabilitation 3
- Autism Spectrum Disorder Research 3
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- Family and Disability Support Research 5
- Co-authors
- Chia‐Ying Lee (5 shared papers)Ming‐Tao Yang (2 shared papers)Lulu Zhao (2 shared papers)Chun‐Yu Chang (3 shared papers)Meng‐Yu Wu (3 shared papers)Wan-Hsuan Lin (1 shared paper)Yi-Shiung Horng (2 shared papers)Chih‐Hao Chen (1 shared paper)
In The Last Decade
Hsin-Chi Wu
16 papers receiving 311 citations
Peers
Comparison fields: 5 of 58
- Cognitive Neuroscience 188
- Developmental and Educational Psychology 103
- Experimental and Cognitive Psychology 87
- Molecular Medicine 21
- Reproductive Medicine 26
Countries citing papers authored by Hsin-Chi Wu
This map shows the geographic impact of Hsin-Chi Wu'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-Chi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Chi Wu more than expected).
Fields of papers citing papers by Hsin-Chi Wu
This network shows the impact of papers produced by Hsin-Chi Wu. 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-Chi Wu. The network helps show where Hsin-Chi Wu may publish in the future.
Co-authors
The 22 scholars most cited alongside Hsin-Chi Wu, 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 | 2012 | 77 | |
| 2 | 2021 | 55 | |
| 3 | 2013 | 45 | |
| 4 | 2015 | 42 | |
| 5 | 2015 | 22 | |
| 6 | Diagnostic accuracy of the Motor Subtest of Comprehensive Developmental Inventory for Infants and Toddlers and the Peabody Developmental Motor Scales-Second Edition. | 2005 | 16 |
| 7 | 2019 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2017 | 10 | |
| 10 | 2013 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2015 | 1 | |
| 16 | 2022 | 1 | |
| 17 | 2023 | 0 |
About Hsin-Chi Wu
Hsin-Chi Wu is a scholar working on Cognitive Neuroscience, Clinical Psychology, Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health and Experimental and Cognitive Psychology, having authored 17 papers that have together received 315 indexed citations. Recurring topics across this work include Family and Disability Support Research (5 papers), Neuroscience and Music Perception (4 papers), Phonetics and Phonology Research (3 papers), Hearing Loss and Rehabilitation (3 papers), Autism Spectrum Disorder Research (3 papers), Infant Development and Preterm Care (3 papers), Language Development and Disorders (3 papers) and Child Nutrition and Feeding Issues (2 papers). The work is most often cited by research in Cognitive Neuroscience (188 citations), Developmental and Educational Psychology (103 citations), Experimental and Cognitive Psychology (87 citations), Molecular Medicine (21 citations) and Reproductive Medicine (26 citations). Hsin-Chi Wu has collaborated with scholars based in Taiwan and Canada. Frequent co-authors include Chia‐Ying Lee, Ming‐Tao Yang, Lulu Zhao, Chun‐Yu Chang, Meng‐Yu Wu, Wan-Hsuan Lin, Yi-Shiung Horng, Chih‐Hao Chen, Jong‐Ling Fuh and Chung‐Hsin Chiang. Their work appears in journals such as Autism, Neuropsychologia, Scientific Reports, Nutrients and International Journal of Psychophysiology.
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.