Linxuan Zhao

1.2k total citations · 1 hit paper
33 papers, 568 citations indexed

About

Linxuan Zhao is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Linxuan Zhao has authored 33 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Science Applications, 15 papers in Developmental and Educational Psychology and 14 papers in Education. Recurrent topics in Linxuan Zhao's work include Online Learning and Analytics (15 papers), Online and Blended Learning (12 papers) and Innovative Teaching and Learning Methods (12 papers). Linxuan Zhao is often cited by papers focused on Online Learning and Analytics (15 papers), Online and Blended Learning (12 papers) and Innovative Teaching and Learning Methods (12 papers). Linxuan Zhao collaborates with scholars based in Australia, Ecuador and United States. Linxuan Zhao's co-authors include Lixiang Yan, Roberto Martínez‐Maldonado, Dragan Gašević, Xinyu Li, Yueqiao Jin, Lele Sha, Yuheng Li, Guanliang Chen, Vanessa Echeverría and Riordan Alfredo and has published in prestigious journals such as Journal of Educational Psychology, Computers & Education and British Journal of Educational Technology.

In The Last Decade

Linxuan Zhao

28 papers receiving 546 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 →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linxuan Zhao Australia	11	209	195	113	110	103	33	568
Xinyu Li Australia	11	247 1.2×	244 1.3×	118 1.0×	144 1.3×	119 1.2×	43	655
Daniele Di Mitri Germany	12	273 1.3×	317 1.6×	121 1.1×	174 1.6×	63 0.6×	29	660
Austin Pack United States	12	279 1.3×	218 1.1×	126 1.1×	145 1.3×	184 1.8×	21	761
Zachari Swiecki Australia	14	157 0.8×	317 1.6×	218 1.9×	291 2.6×	86 0.8×	50	770
Alex Barrett United States	9	199 1.0×	177 0.9×	113 1.0×	136 1.2×	124 1.2×	26	626
Vanessa Echeverría Australia	17	186 0.9×	394 2.0×	169 1.5×	237 2.2×	56 0.5×	60	791
Charles Fadel	3	158 0.8×	246 1.3×	131 1.2×	85 0.8×	75 0.7×	4	545
Pei‐Ying Chen Taiwan	9	109 0.5×	160 0.8×	158 1.4×	173 1.6×	34 0.3×	20	503
Matthias Carl Laupichler Germany	11	191 0.9×	284 1.5×	57 0.5×	60 0.5×	226 2.2×	16	631
Yueqiao Jin Australia	7	195 0.9×	161 0.8×	52 0.5×	50 0.5×	118 1.1×	15	472

Countries citing papers authored by Linxuan Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Linxuan Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linxuan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Linxuan Zhao. A scholar is included among the top collaborators of Linxuan Zhao 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 Linxuan Zhao. Linxuan Zhao 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

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

Zhao, Linxuan, Mladen Raković, Elizabeth B. Cloude, et al.. (2025). The Effect of Sequential Transition of Self-Regulated Learning Processes on Performance: Insights from Ordered Network Analysis. Monash University Research Portal (Monash University). 516–526.

Yan, Lixiang, Roberto Martínez‐Maldonado, Yueqiao Jin, et al.. (2025). The effects of generative AI agents and scaffolding on enhancing students’ comprehension of visual learning analytics. Computers & Education. 234. 105322–105322. 8 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

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, Dragan Gašević, Vanessa Echeverría, et al.. (2025). In Sync or Out of Sync? Understanding Stress and Learning Performance in Collaborative Healthcare Simulations through Physiological Synchrony and Arousal. International Journal of Artificial Intelligence in Education. 35(4). 2421–2452. 1 indexed citations

Echeverría, Vanessa, Linxuan Zhao, Riordan Alfredo, et al.. (2025). TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation. 1–22.

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

Echeverría, Vanessa, Lixiang Yan, Linxuan Zhao, et al.. (2024). TeamSlides: a Multimodal Teamwork Analytics Dashboard for Teacher-guided Reflection in a Physical Learning Space. 112–122. 10 indexed citations

10.

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

11.

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

12.

Alfredo, Riordan, Vanessa Echeverría, Lixiang Yan, et al.. (2024). "It's Really Enjoyable to See Me Solve the Problem like a Hero": GenAI-enhanced Data Comics as a Learning Analytics Tool. 1–7. 7 indexed citations

13.

Feng, Shihui, Lixiang Yan, Linxuan Zhao, Roberto Martínez‐Maldonado, & Dragan Gašević. (2024). Heterogenous Network Analytics of Small Group Teamwork: Using Multimodal Data to Uncover Individual Behavioral Engagement Strategies. Monash University Research Portal (Monash University). 587–597. 5 indexed citations

14.

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

15.

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

16.

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

17.

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

18.

Li, Xinyu, Lixiang Yan, Linxuan Zhao, Roberto Martínez‐Maldonado, & Dragan Gašević. (2023). CVPE: A Computer Vision Approach for Scalable and Privacy-Preserving Socio-spatial, Multimodal Learning Analytics. Monash University Research Portal (Monash University). 175–185. 10 indexed citations

19.

Yan, Lixiang, Roberto Martínez‐Maldonado, Linxuan Zhao, Xinyu Li, & Dragan Gašević. (2023). SeNA: Modelling Socio-spatial Analytics on Homophily by Integrating Social and Epistemic Network Analysis. 22–32. 6 indexed citations

20.

Yan, Lixiang, Lele Sha, Linxuan Zhao, et al.. (2023). Practical and ethical challenges of large language models in education: A systematic scoping review. British Journal of Educational Technology. 55(1). 90–112. 288 indexed citations breakdown →

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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