Hui Luan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Online Learning and Analytics
Papers in
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- Reading and Literacy Development 4
- Educational Strategies and Epistemologies 3
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- Writing and Handwriting Education 2
- Education and Critical Thinking Development 2
- Co-authors
- Chin‐Chung Tsai (5 shared papers)Janice D. Gobert (1 shared paper)Jacky Baltes (1 shared paper)Rodrigo da Silva Guerra (1 shared paper)Stephen J.H. Yang (1 shared paper)Hiroaki Ogata (1 shared paper)Ping Li (1 shared paper)Peter Géczy (1 shared paper)
In The Last Decade
Hui Luan
12 papers receiving 695 citations
Hui Luan's Hit Papers
Peers
Comparison fields: 5 of 87
- Health Informatics 57
- Computer Science Applications 180
- Developmental and Educational Psychology 286
- Statistics and Probability 104
- Education 182
Countries citing papers authored by Hui Luan
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
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-authors
The 25 scholars most cited alongside Hui Luan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Challenges and Future Directions of Big Data and Artificial Intelligence in Education Hit paper breakdown → | 2020 | 324 |
| 2 | 2011 | 133 | |
| 3 | A Review of Using Machine Learning Approaches for Precision Education. | 2021 | 115 |
| 4 | 2011 | 56 | |
| 5 | 2005 | 32 | |
| 6 | 2011 | 26 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 13 | |
| 10 | DEVELOPMENTAL DEEP DYSLEXIA IN CHINESE: A CASE STUDY | 2002 | 2 |
| 11 | 2014 | 2 | |
| 12 | 2025 | 1 |
About Hui Luan
Hui Luan is a scholar working on Developmental and Educational Psychology, Education, Statistics and Probability, Computer Networks and Communications and Cognitive Neuroscience, having authored 12 papers that have together received 737 indexed citations. Recurring topics across this work include Reading and Literacy Development (4 papers), Cognitive and developmental aspects of mathematical skills (4 papers), Educational Strategies and Epistemologies (3 papers), Writing and Handwriting Education (2 papers), Environmental Education and Sustainability (2 papers), Education and Critical Thinking Development (2 papers), Online Learning and Analytics (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Health Informatics (57 citations), Computer Science Applications (180 citations), Developmental and Educational Psychology (286 citations), Statistics and Probability (104 citations) and Education (182 citations). Hui Luan has collaborated with scholars based in Hong Kong, Taiwan and China. Frequent co-authors include Chin‐Chung Tsai, Janice D. Gobert, Jacky Baltes, Rodrigo da Silva Guerra, Stephen J.H. Yang, Hiroaki Ogata, Ping Li, Peter Géczy, Hollis Lai and Kevin Kien Hoa Chung. Their work appears in journals such as Reading and Writing, Science Education, Frontiers in Psychology, Educational Technology & Society and Scientific Studies of Reading.
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.