Yaling Hsiao
- Developmental and Educational Psychology top 5%
- Cognitive Neuroscience top 10%
- Artificial Intelligence
- Experimental and Cognitive Psychology
- Language and Linguistics top 10%
- Co-authors
- Kate NationMaryellen C. MacDonaldMatthew HC MakPeggy LiBecky H. HuangStephen M. KosslynWilliam L. ThompsonNicola F. Dawson
- Topics
- Reading and Literacy Development (12 papers)Neurobiology of Language and Bilingualism (8 papers)Text Readability and Simplification (6 papers)
- Journals
- Child DevelopmentJournal of Experimental Psychology Learning Memory and CognitionCurrent Directions in Psychological Science
- Partner nations
- United KingdomUnited States
In The Last Decade
Yaling Hsiao
18 papers receiving 259 citations
Peers
Comparison fields: 5 of 37
- Developmental and Educational Psychology 170
- Cognitive Neuroscience 114
- Artificial Intelligence 61
- Experimental and Cognitive Psychology 55
- Language and Linguistics 47
Countries citing papers authored by Yaling Hsiao
This map shows the geographic impact of Yaling Hsiao'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 Yaling Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaling Hsiao more than expected).
Fields of papers citing papers by Yaling Hsiao
This network shows the impact of papers produced by Yaling Hsiao. 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 Yaling Hsiao. The network helps show where Yaling Hsiao may publish in the future.
Co-authorship network of co-authors of Yaling Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Yaling Hsiao. A scholar is included among the top collaborators of Yaling Hsiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaling Hsiao. Yaling Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 31 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 24 | |
| 8 | 5 | |
| 9 | 10 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 5 | |
| 13 | 48 | |
| 14 | 16 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | 14 | |
| 18 | 24 |
About Yaling Hsiao
Yaling Hsiao is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Language and Linguistics, having authored 18 papers that have together received 268 indexed citations. Recurring topics across this work include Reading and Literacy Development (12 papers), Neurobiology of Language and Bilingualism (8 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Developmental and Educational Psychology (170 citations), Cognitive Neuroscience (114 citations) and Language and Linguistics (47 citations). Yaling Hsiao has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Kate Nation, Maryellen C. MacDonald, Matthew HC Mak, Peggy Li, Becky H. Huang, Stephen M. Kosslyn, William L. Thompson and Nicola F. Dawson. Their work appears in journals such as Child Development, Journal of Experimental Psychology Learning Memory and Cognition and Current Directions in Psychological Science.
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.