Dan Lin

1.4k citations
40 papers · 885 indexed · h-index 16

Impact in

Papers in

Dan Lin

39 papers receiving 851 citations

Peers

Dan Lin
Comparison fields: 5 of 54
  • Developmental and Educational Psychology 672
  • Statistics and Probability 311
  • Education 398
  • Cognitive Neuroscience 208
  • Experimental and Cognitive Psychology 80
Replace Tammy D. Tolar with:
Tammy D. Tolar United States
Marie‐France Ehrlich France
Terry Tin‐Yau Wong Hong Kong
Fiona R. Simmons United Kingdom
Anniek Vaessen Netherlands
Joseph Shimron Israel
Delinda van Garderen United States
Minna Kyttälä Finland
Aibao Zhou China
Jeung‐Ryeul Cho South Korea
Dan Lin relative to Tammy D. Tolar United States Tammy D. Tolar's profile →
Citations per field
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Tammy D. Tolar · 1×
Citations per year

Countries citing papers authored by Dan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Lin. 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 Dan Lin. The network helps show where Dan Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Dan Lin, 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 Dan Lin Line = papers co-authored together Dan Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20225
3 20221
4 20219
5 202116
6 201912
7 20197
8 201827
9 201746
10 20177
11 20176
12 201611
13 201610
14 201670
15 201578
16 201140
17
Reading Disabilities of Chinese Elementary School Students: Beyond the Phonological Deficits of Single-Character Identification.
20101
18 2010105
19 201010
20 200839

About Dan Lin

Dan Lin is a scholar working on Developmental and Educational Psychology, Statistics and Probability, Education, Cognitive Neuroscience and Automotive Engineering, having authored 40 papers that have together received 885 indexed citations. Recurring topics across this work include Reading and Literacy Development (34 papers), Cognitive and developmental aspects of mathematical skills (20 papers), Language Development and Disorders (13 papers), Writing and Handwriting Education (9 papers), Child Development and Digital Technology (4 papers), Neurobiology of Language and Bilingualism (4 papers), Mathematics Education and Teaching Techniques (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Developmental and Educational Psychology (672 citations), Statistics and Probability (311 citations), Education (398 citations), Cognitive Neuroscience (208 citations) and Experimental and Cognitive Psychology (80 citations). Dan Lin has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Xiao Zhang, Catherine McBride‐Chang, Iris Levin, Dorit Aram, Hua Shu, Yingyi Liu, Hong Li, Susanna Siu‐sze Yeung, Ming Ming Chiu and Yuping Zhang. Their work appears in journals such as Reading and Writing, Contemporary Educational Psychology, Learning and Instruction, Frontiers in Psychology and Early Childhood Research Quarterly.

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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