Feng‐Ying Huang
- Cognitive Neuroscience top 5%
- Neurobiology of Language and Bilingualism 15
- Functional Brain Connectivity Studies 7
- Neural and Behavioral Psychology Studies 5
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- Reading and Literacy Development 9
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- Immunotherapy and Immune Responses 5
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- Nanoplatforms for cancer theranostics 7
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- Autophagy in Disease and Therapy 5
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- Asthma and respiratory diseases 5
- Co-authors
- Guang‐Hong TanYingying LinKara D. FedermeierChia‐Lin LeeOvid J. L. TzengChih‐Mao HuangYonghao HuangZhuoxuan Lu
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (3 papers)Biomaterials (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Feng‐Ying Huang
91 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 144
- Cognitive Neuroscience 373
- Developmental and Educational Psychology 195
- Experimental and Cognitive Psychology 188
- Immunology 201
- Biomaterials 77
Countries citing papers authored by Feng‐Ying Huang
This map shows the geographic impact of Feng‐Ying Huang'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 Feng‐Ying Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Ying Huang more than expected).
Fields of papers citing papers by Feng‐Ying Huang
This network shows the impact of papers produced by Feng‐Ying Huang. 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 Feng‐Ying Huang. The network helps show where Feng‐Ying Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Feng‐Ying Huang, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 20 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 10 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 17 | |
| 9 | The New Science of Learning: Using the Power and Potential of the Brain to Inform Digital Learning | 2020 | 5 |
| 10 | 2019 | 21 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2017 | 24 | |
| 15 | 2012 | 3 | |
| 16 | 2012 | 12 | |
| 17 | The sublexical semantic ambiguity effects for reading Chinese disyllabic compounds | 2011 | 1 |
| 18 | 2009 | 5 | |
| 19 | 2006 | 43 | |
| 20 | 2005 | 40 |
About Feng‐Ying Huang
Feng‐Ying Huang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology, having authored 95 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (15 papers), Reading and Literacy Development (9 papers), Nanoplatforms for cancer theranostics (7 papers), Functional Brain Connectivity Studies (7 papers), Immunotherapy and Immune Responses (5 papers), Autophagy in Disease and Therapy (5 papers), Asthma and respiratory diseases (5 papers) and Neural and Behavioral Psychology Studies (5 papers). The work is most often cited by research in Cognitive Neuroscience (373 citations), Developmental and Educational Psychology (195 citations) and Experimental and Cognitive Psychology (188 citations). Feng‐Ying Huang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Guang‐Hong Tan, Yingying Lin, Kara D. Federmeier, Chia‐Lin Lee, Ovid J. L. Tzeng, Chih‐Mao Huang, Yonghao Huang, Zhuoxuan Lu, Jie-Li Tsai and Chia‐Ying Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.
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.