Yu-Min Ku

938 citations
22 papers · 582 · h-index 11

Impact in

Papers in

Yu-Min Ku

18 papers receiving 537 citations

Peers

Yu-Min Ku
Comparison fields: 5 of 32
  • Developmental and Educational Psychology 513
  • Statistics and Probability 174
  • Linguistics and Language 54
  • Language and Linguistics 87
  • Cognitive Neuroscience 132
Replace Adrian Pasquarella with:
Adrian Pasquarella United States
Gloria Ramírez Canada
Miriam Bindman United Kingdom
Judith A. Scott United States
Linda Lysynchuk Canada
Marie Cassar United States
Banu Öney United States
Regina Boulware‐Gooden United States
Noelia Pulido García United States
Jerry Zutell United States
Yu-Min Ku relative to Adrian Pasquarella United States Adrian Pasquarella's profile →
Citations per field
00.5×1.7×
Adrian Pasquarella · 1×
Citations per year

Countries citing papers authored by Yu-Min Ku

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Min Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Min Ku. 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 Yu-Min Ku. The network helps show where Yu-Min Ku may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003238
2 201275
3 200360
4 201143
5 201434
6 200828
7 201522
8 201814
9 200114
10 201813
11 201111
12 20158
13 20146
14 20195
15 20134
16 20213
17
My-Bookstore: The Design of a Management Game to Promote Classroom Reading Activity
20112
18 20032
19 20240
20 20260

About Yu-Min Ku

Yu-Min Ku is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Statistics and Probability, Education and Information Systems, having authored 22 papers that have together received 582 indexed citations. Recurring topics across this work include Reading and Literacy Development (16 papers), Second Language Acquisition and Learning (5 papers), Cognitive and developmental aspects of mathematical skills (5 papers), Language Development and Disorders (4 papers), Innovative Teaching and Learning Methods (4 papers), Language, Metaphor, and Cognition (3 papers), Educational Strategies and Epistemologies (2 papers) and Educational Games and Gamification (2 papers). The work is most often cited by research in Developmental and Educational Psychology (513 citations), Statistics and Probability (174 citations), Linguistics and Language (54 citations), Language and Linguistics (87 citations) and Cognitive Neuroscience (132 citations). Yu-Min Ku has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Richard C. Anderson, Wenling Li, Xi Chen, Hua Shu, Xinchun Wu, Ningning Wu, Gloria Ramírez, Esther Geva, Yang Luo and Li‐Jen Kuo. Their work appears in journals such as Reading and Writing, Scientific Studies of Reading, Journal of Educational Psychology, Journal of Educational Computing Research and Applied Psycholinguistics.

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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