Yizhou Fan

1.6k total citations · 2 hit papers
53 papers, 944 citations indexed

About

Yizhou Fan is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Yizhou Fan has authored 53 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Science Applications, 30 papers in Developmental and Educational Psychology and 19 papers in Education. Recurrent topics in Yizhou Fan's work include Online Learning and Analytics (35 papers), Innovative Teaching and Learning Methods (30 papers) and Online and Blended Learning (16 papers). Yizhou Fan is often cited by papers focused on Online Learning and Analytics (35 papers), Innovative Teaching and Learning Methods (30 papers) and Online and Blended Learning (16 papers). Yizhou Fan collaborates with scholars based in Australia, China and United Kingdom. Yizhou Fan's co-authors include Dragan Gašević, Inge Molenaar, Joep van der Graaf, Maria Bannert, Lyn Lim, Shaveen Singh, Johanna D. Moore, Mladen Raković, Saint John and Jonathan Kilgour and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Computers & Education.

In The Last Decade

Yizhou Fan

49 papers receiving 915 citations

Hit Papers

Beware of metacognitive laziness: Effects o... 2022 2026 2023 2024 2024 2022 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yizhou Fan Australia 19 583 525 361 222 96 53 944
Mladen Raković Australia 17 472 0.8× 412 0.8× 289 0.8× 274 1.2× 72 0.8× 54 819
Joep van der Graaf Netherlands 17 298 0.5× 453 0.9× 327 0.9× 123 0.6× 53 0.6× 27 652
Hengtao Tang United States 18 463 0.8× 242 0.5× 327 0.9× 93 0.4× 87 0.9× 60 766
Ruofei Zhang Hong Kong 16 182 0.3× 352 0.7× 292 0.8× 209 0.9× 227 2.4× 41 888
Erkan Er Spain 13 266 0.5× 254 0.5× 303 0.8× 77 0.3× 85 0.9× 35 587
Selin Akgün United States 6 233 0.4× 177 0.3× 238 0.7× 172 0.8× 98 1.0× 7 674
Pei‐Ying Chen Taiwan 9 160 0.3× 173 0.3× 158 0.4× 109 0.5× 104 1.1× 20 503
Weijiao Huang Hong Kong 7 284 0.5× 120 0.2× 188 0.5× 446 2.0× 109 1.1× 12 727
Meehyun Yoon South Korea 11 411 0.7× 224 0.4× 390 1.1× 86 0.4× 100 1.0× 20 660
Yoshiko Goda Japan 9 143 0.2× 159 0.3× 167 0.5× 85 0.4× 65 0.7× 42 403

Countries citing papers authored by Yizhou Fan

Since Specialization
Citations

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

Fields of papers citing papers by Yizhou Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yizhou Fan

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

All Works

20 of 20 papers shown
2.
Raković, Mladen, et al.. (2025). Modifying AI, Enhancing Essays: How Active Engagement with Generative AI Boosts Writing Quality. Monash University Research Portal (Monash University). 568–578. 5 indexed citations
3.
Raković, Mladen, et al.. (2025). Analytics of Temporal Patterns of Self-regulated Learners: A Time Series Approach. Monash University Research Portal (Monash University). 283–292.
4.
Li, Xinyu, Tongguang Li, Lixiang Yan, et al.. (2025). FLoRA: An advanced AI-powered engine to facilitate hybrid human-AI regulated learning. Computers & Education. 243. 105527–105527.
5.
Li, Tongguang, Lixiang Yan, Namrata Srivastava, et al.. (2025). Analytics of self-regulated learning strategies and scaffolding: Associations with learning performance. Computers and Education Artificial Intelligence. 8. 100410–100410. 2 indexed citations
6.
Fan, Yizhou, Tongguang Li, Mladen Raković, et al.. (2025). FLoRA Engine. Journal of Learning Analytics. 12(1). 391–413. 2 indexed citations
8.
Fan, Yizhou, et al.. (2025). Asking generative artificial intelligence the right questions improves writing performance. Computers and Education Artificial Intelligence. 8. 100374–100374. 2 indexed citations
9.
Chen, Guanliang, Yizhou Fan, Mladen Raković, et al.. (2024). Towards prescriptive analytics of self‐regulated learning strategies: A reinforcement learning approach. British Journal of Educational Technology. 55(4). 1747–1771. 4 indexed citations
10.
Li, Tongguang, Yizhou Fan, Namrata Srivastava, et al.. (2024). Analytics of Planning Behaviours in Self-Regulated Learning: Links with Strategy Use and Prior Knowledge. 438–449. 3 indexed citations
11.
Zhou, Junyi, et al.. (2024). Unpacking help-seeking process through multimodal learning analytics: A comparative study of ChatGPT vs Human expert. Computers & Education. 226. 105198–105198. 18 indexed citations
12.
Le, Huixiao, Yüan Shen, Shufang Tan, et al.. (2024). Facilitating learners' self‐assessment during formative writing tasks using writing analytics toolkit. Journal of Computer Assisted Learning. 40(6). 2822–2839. 10 indexed citations
13.
Gašević, Dragan, et al.. (2024). CTAM4SRL: A Consolidated Temporal Analytic Method for Analysis of Self-Regulated Learning. 645–655. 4 indexed citations
14.
Chen, Guanliang, Yizhou Fan, Mladen Raković, et al.. (2024). Measurement of Self-regulated Learning: Strategies for mapping trace data to learning processes and downstream analysis implications. Radboud Repository (Radboud University). 563–575. 2 indexed citations
15.
Fan, Yizhou, Mladen Raković, Joep van der Graaf, et al.. (2023). Towards a fuller picture: Triangulation and integration of the measurement of self‐regulated learning based on trace and think aloud data. Journal of Computer Assisted Learning. 39(4). 1303–1324. 21 indexed citations
16.
Graaf, Joep van der, Mladen Raković, Yizhou Fan, et al.. (2023). How to design and evaluate personalized scaffolds for self-regulated learning. Metacognition and Learning. 18(3). 783–810. 16 indexed citations
17.
John, Saint, Yizhou Fan, Dragan Gašević, & Abelardo Pardo. (2022). Temporally-focused analytics of self-regulated learning: A systematic review of literature. Computers and Education Artificial Intelligence. 3. 100060–100060. 65 indexed citations
18.
Fan, Yizhou, Wannisa Matcha, Nora’ayu Ahmad Uzir, Qiong Wang, & Dragan Gašević. (2021). Learning Analytics to Reveal Links Between Learning Design and Self-Regulated Learning. International Journal of Artificial Intelligence in Education. 31(4). 980–1021. 62 indexed citations
19.
Lim, Lyn, Maria Bannert, Joep van der Graaf, et al.. (2021). Temporal Assessment of Self-Regulated Learning by Mining Students’ Think-Aloud Protocols. Frontiers in Psychology. 12. 749749–749749. 23 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.

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