Hui Luan

1.1k total citations · 1 hit paper
12 papers, 707 citations indexed

About

Hui Luan is a scholar working on Developmental and Educational Psychology, Education and Statistics and Probability. According to data from OpenAlex, Hui Luan has authored 12 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Developmental and Educational Psychology, 5 papers in Education and 4 papers in Statistics and Probability. Recurrent topics in Hui Luan's work include Cognitive and developmental aspects of mathematical skills (4 papers), Reading and Literacy Development (4 papers) and Educational Strategies and Epistemologies (3 papers). Hui Luan is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (4 papers), Reading and Literacy Development (4 papers) and Educational Strategies and Epistemologies (3 papers). Hui Luan collaborates with scholars based in Taiwan, Hong Kong and China. Hui Luan's co-authors include Chin‐Chung Tsai, Stephen J.H. Yang, Jacky Baltes, Hollis Lai, Janice D. Gobert, Hiroaki Ogata, Peter Géczy, Rodrigo da Silva Guerra, Ping Li and Connie Suk‐Han Ho and has published in prestigious journals such as Frontiers in Psychology, Science Education and Educational Technology & Society.

In The Last Decade

Hui Luan

11 papers receiving 663 citations

Hit Papers

Challenges and Future Directions of Big Data and Artifici... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hui Luan Taiwan 9 283 189 177 142 113 12 707
Hui-Wen Huang China 7 337 1.2× 182 1.0× 62 0.4× 54 0.4× 109 1.0× 32 593
Jennifer S. Thom Canada 11 226 0.8× 147 0.8× 72 0.4× 56 0.4× 51 0.5× 41 536
Arif Altun Türkiye 14 238 0.8× 401 2.1× 346 2.0× 104 0.7× 38 0.3× 74 849
Salmiza Saleh Malaysia 12 101 0.4× 262 1.4× 113 0.6× 95 0.7× 83 0.7× 49 566
Theo J. H. M. Eggen Netherlands 15 402 1.4× 645 3.4× 211 1.2× 187 1.3× 19 0.2× 44 1.2k
Michael Timms United States 14 327 1.2× 486 2.6× 195 1.1× 161 1.1× 14 0.1× 35 875
Kenneth Holstein United States 14 156 0.6× 99 0.5× 343 1.9× 326 2.3× 41 0.4× 54 848
Diego Zapata‐Rivera United States 15 238 0.8× 135 0.7× 240 1.4× 345 2.4× 14 0.1× 60 650
Malcolm Bauer United States 11 184 0.7× 118 0.6× 86 0.5× 288 2.0× 47 0.4× 30 643
Rose Luckin United Kingdom 15 224 0.8× 267 1.4× 219 1.2× 150 1.1× 20 0.2× 49 698

Countries citing papers authored by Hui Luan

Since Specialization
Citations

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

Fields of papers citing papers by Hui Luan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hui Luan

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Luan. A scholar is included among the top collaborators of Hui Luan 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 Hui Luan. Hui Luan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Luan, Hui & Chin‐Chung Tsai. (2021). A Review of Using Machine Learning Approaches for Precision Education.. Educational Technology & Society. 24(1). 250–266. 116 indexed citations
3.
Wu, Ching‐Lin, Tzung‐Jin Lin, Guo‐Li Chiou, et al.. (2021). A Systematic Review of MRI Neuroimaging for Education Research. Frontiers in Psychology. 12. 617599–617599. 13 indexed citations
4.
Lee, Silvia Wen‐Yu, Hui Luan, Min‐Hsien Lee, et al.. (2021). Measuring epistemologies in science learning and teaching: A systematic review of the literature. Science Education. 105(5). 880–907. 19 indexed citations
5.
Luan, Hui, Peter Géczy, Hollis Lai, et al.. (2020). Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology. 11. 580820–580820. 301 indexed citations breakdown →
6.
Luan, Hui, et al.. (2020). High School Students’ Environmental Education in Taiwan: Scientific Epistemic Views, Decision-Making Style, and Recycling Intention. International Journal of Science and Mathematics Education. 20(1). 25–44. 11 indexed citations
7.
Luan, Hui, et al.. (2014). Develop Critical Thinking by Classroom Activities. Advances in intelligent systems research. 2 indexed citations
8.
Yeung, Pui‐sze, Connie Suk‐Han Ho, Lap‐Yan Lo, et al.. (2011). Reading and Spelling Chinese Among Beginning Readers: What Skills Make a Difference?. Scientific Studies of Reading. 15(4). 285–313. 131 indexed citations
9.
Ho, Connie Suk‐Han, Pui‐sze Yeung, David Wai‐ock Chan, et al.. (2011). Syntactic skills in sentence reading comprehension among Chinese elementary school children. Reading and Writing. 25(3). 679–699. 54 indexed citations
10.
Ho, Connie Suk‐Han, et al.. (2011). The core components of reading instruction in Chinese. Reading and Writing. 25(4). 857–886. 26 indexed citations
11.
Shu, Hua, Xiangzhi Meng, Xi Chen, Hui Luan, & Fan Cao. (2005). The subtypes of developmental dyslexia in Chinese: evidence from three cases. Dyslexia. 11(4). 311–329. 32 indexed citations
12.
Luan, Hui. (2002). DEVELOPMENTAL DEEP DYSLEXIA IN CHINESE: A CASE STUDY. Acta Psychologica Sinica. 34(4). 8–13. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026