Lixiang Yan

2.7k total citations · 3 hit papers
70 papers, 1.2k citations indexed

About

Lixiang Yan is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology. According to data from OpenAlex, Lixiang Yan has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Science Applications, 17 papers in Education and 17 papers in Developmental and Educational Psychology. Recurrent topics in Lixiang Yan's work include Online Learning and Analytics (25 papers), Online and Blended Learning (16 papers) and Innovative Teaching and Learning Methods (14 papers). Lixiang Yan is often cited by papers focused on Online Learning and Analytics (25 papers), Online and Blended Learning (16 papers) and Innovative Teaching and Learning Methods (14 papers). Lixiang Yan collaborates with scholars based in Australia, China and Ecuador. Lixiang Yan's co-authors include Dragan Gašević, Roberto Martínez‐Maldonado, Linxuan Zhao, Guanliang Chen, Yueqiao Jin, Xinyu Li, Lele Sha, Yuheng Li, Vanessa Echeverría and Samuel Greiff and has published in prestigious journals such as Journal of Educational Psychology, PLoS Medicine and Frontiers in Immunology.

In The Last Decade

Lixiang Yan

61 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Practical and ethical challenges of large language models in education: A systematic scoping review

2023 288 citations Lixiang Yan, Lele Sha et al. British Journal of Educational Technology profile →
Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study

2021 165 citations Lixiang Yan, Dragan Gašević et al. British Journal of Educational Technology profile →
Promises and challenges of generative artificial intelligence for human learning

2024 115 citations Lixiang Yan, Samuel Greiff et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lixiang Yan Australia	16	356	333	268	180	172	70	1.2k
Hollis Lai Canada	18	185 0.5×	282 0.8×	262 1.0×	74 0.4×	105 0.6×	89	1.2k
Michael Agyemang Adarkwah China	11	384 1.1×	515 1.5×	325 1.2×	87 0.5×	591 3.4×	42	1.4k
Mohammadreza Farrokhnia Netherlands	11	370 1.0×	300 0.9×	339 1.3×	220 1.2×	345 2.0×	20	1.2k
Seyyed Kazem Banihashem Netherlands	18	609 1.7×	412 1.2×	607 2.3×	412 2.3×	411 2.4×	43	1.6k
Grant Cooper Australia	11	258 0.7×	307 0.9×	206 0.8×	137 0.8×	277 1.6×	31	1.0k
Zacharoula Papamitsiou Greece	15	639 1.8×	266 0.8×	275 1.0×	202 1.1×	59 0.3×	31	1.1k
Miaoting Cheng China	11	285 0.8×	227 0.7×	199 0.7×	88 0.5×	122 0.7×	22	815
José Fernández Cerero Spain	15	281 0.8×	166 0.5×	447 1.7×	102 0.6×	173 1.0×	51	1.1k
Yousef Wardat United Arab Emirates	21	324 0.9×	243 0.7×	367 1.4×	129 0.7×	301 1.8×	59	1.2k
David Santandreu Calonge United Arab Emirates	10	223 0.6×	174 0.5×	162 0.6×	49 0.3×	111 0.6×	32	663

Countries citing papers authored by Lixiang Yan

Since Specialization

Citations

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

Fields of papers citing papers by Lixiang Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixiang Yan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Tongguang, Mladen Raković, Xinyu Li, et al.. (2025). Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support. Computers & Education. 240. 105448–105448. 1 indexed citations

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.

Yan, Lixiang, et al.. (2025). Latent classes of self-reported feedback experiences: exploring students’ challenges, motivations, and action-taking behaviours in feedback processes. Instructional Science. 53(6). 1395–1427.

Jin, Yueqiao, Roberto Martínez‐Maldonado, Dragan Gašević, & Lixiang Yan. (2025). GLAT: The generative AI literacy assessment test. Computers and Education Artificial Intelligence. 9. 100436–100436. 12 indexed citations

Yan, Lixiang, Dragan Gašević, Vanessa Echeverría, et al.. (2025). From Complexity to Parsimony: Integrating Latent Class Analysis to Uncover Multimodal Learning Patterns in Collaborative Learning. Monash University Research Portal (Monash University). 70–81. 2 indexed citations

Yan, Lixiang, Samuel Greiff, Jason M. Lodge, & Dragan Gašević. (2025). Distinguishing performance gains from learning when using generative AI. Nature Reviews Psychology. 4(7). 435–436. 5 indexed citations

Jin, Yueqiao, Lixiang Yan, Vanessa Echeverría, et al.. (2025). Chatting with a Learning Analytics Dashboard: The Role of Generative AI Literacy on Learner Interaction with Conventional and Scaffolding Chatbots. Monash University Research Portal (Monash University). 579–590. 6 indexed citations

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

Yan, Lixiang, et al.. (2024). A novel approach to immune thrombocytopenia intervention: modulating intestinal homeostasis. BMC Immunology. 25(1). 71–71. 2 indexed citations

10.

Zhang, Yucheng, Zhendong Huang, Juan Xie, et al.. (2024). Sex-specific association between platelet content and bone mineral density in adults: a cross-sectional study. BMC Musculoskeletal Disorders. 25(1). 875–875. 1 indexed citations

11.

Yan, Lixiang, et al.. (2024). Atypical chronic myeloid leukemia found in a patient with eosinophilia for six years: a case report. BMC Geriatrics. 24(1). 595–595.

12.

Yan, Lixiang, Vanessa Echeverría, Gloria Milena Fernandez-Nieto, et al.. (2024). Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations. 1–7. 28 indexed citations

13.

Zhao, Linxuan, Dragan Gašević, Zachari Swiecki, et al.. (2024). Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. British Journal of Educational Technology. 55(4). 1673–1702. 7 indexed citations

14.

Zhao, Linxuan, Vanessa Echeverría, Zachari Swiecki, et al.. (2024). Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. 90–100. 6 indexed citations

15.

Yan, Lixiang, Roberto Martínez‐Maldonado, Zachari Swiecki, et al.. (2024). Dissecting the temporal dynamics of embodied collaborative learning using multimodal learning analytics.. Journal of Educational Psychology. 117(1). 106–133. 4 indexed citations

16.

Alfredo, Riordan, Vanessa Echeverría, Linxuan Zhao, et al.. (2024). Designing a Human-centred Learning Analytics Dashboard In-use. Journal of Learning Analytics. 1–20. 3 indexed citations

17.

Yan, Lixiang, Linxuan Zhao, Dragan Gašević, Xinyu Li, & Roberto Martínez‐Maldonado. (2023). Socio-spatial Learning Analytics in Co-located Collaborative Learning Spaces:. Journal of Learning Analytics. 10(3). 45–63. 2 indexed citations

18.

Martínez‐Maldonado, Roberto, Vanessa Echeverría, Gloria Milena Fernandez-Nieto, et al.. (2023). Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-Wild. ACM Transactions on Computer-Human Interaction. 31(1). 1–41. 25 indexed citations

19.

Zhao, Linxuan, Zachari Swiecki, Dragan Gašević, et al.. (2023). METS: Multimodal Learning Analytics of Embodied Teamwork Learning. Monash University Research Portal (Monash University). 186–196. 23 indexed citations

20.

Yan, Lixiang, et al.. (2022). Mapping from proximity traces to socio‐spatial behaviours and student progression at the school. British Journal of Educational Technology. 53(6). 1645–1664. 13 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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