Li‐Chih Wang

808 citations
64 papers · 564 · h-index 14

Impact in

Papers in

Li‐Chih Wang

60 papers receiving 547 citations

Peers

Li‐Chih Wang
Comparison fields: 5 of 70
  • Developmental and Educational Psychology 316
  • Statistics and Probability 186
  • Cognitive Neuroscience 151
  • Experimental and Cognitive Psychology 71
  • Education 127
Replace Maureen Hoskyn with:
Maureen Hoskyn Canada
Sergio Morra Italy
Seth King United States
Ruth Schumann-Hengsteler Germany
Gregg A. Johns United States
Karrie E. Godwin United States
Claudia Maehler Germany
Christiane Lange‐Küttner United Kingdom
Penelope H. Brooks United States
Anna Maria Re Italy
Li‐Chih Wang relative to Maureen Hoskyn Canada Maureen Hoskyn's profile →
Citations per field
00.5×4.7×
Maureen Hoskyn · 1×
Citations per year

Countries citing papers authored by Li‐Chih Wang

Since Specialization
Citations

This map shows the geographic impact of Li‐Chih Wang'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 Li‐Chih Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Chih Wang more than expected).

Fields of papers citing papers by Li‐Chih Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Chih Wang. 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 Li‐Chih Wang. The network helps show where Li‐Chih Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Li‐Chih Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li‐Chih Wang Line = papers co-authored together Li‐Chih Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201250
2 201631
3 201928
4 201725
5 201125
6 202123
7 201821
8 201721
9 202117
10 202116
11 201416
12 201915
13 202014
14 201913
15 201413
16 199513
17 202113
18 202212
19 202112
20
CNN comparisons models on dyslexia handwriting classification
202111

About Li‐Chih Wang

Li‐Chih Wang is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Statistics and Probability, Education and Psychiatry and Mental health, having authored 64 papers that have together received 564 indexed citations. Recurring topics across this work include Reading and Literacy Development (36 papers), Cognitive and developmental aspects of mathematical skills (23 papers), Neurobiology of Language and Bilingualism (11 papers), Attention Deficit Hyperactivity Disorder (8 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Bullying, Victimization, and Aggression (6 papers), Neural and Behavioral Psychology Studies (4 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Developmental and Educational Psychology (316 citations), Statistics and Probability (186 citations), Cognitive Neuroscience (151 citations), Experimental and Cognitive Psychology (71 citations) and Education (127 citations). Li‐Chih Wang has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include Duo Liu, Ji‐Kang Chen, Kevin Kien Hoa Chung, Ching-Wen Chang, Chung‐Ying Lin, Xiaomin Li, Chih‐Ming Liu, Huimin Chen, Boyuan Yang and Zhiyou Wang. Their work appears in journals such as Research in Developmental Disabilities, Dyslexia, Reading and Writing, Journal of Learning Disabilities and Frontiers in Psychology.

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.

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