Guanliang Chen

4.4k total citations · 5 hit papers
84 papers, 2.2k citations indexed

About

Guanliang Chen is a scholar working on Artificial Intelligence, Computer Science Applications and Education. According to data from OpenAlex, Guanliang Chen has authored 84 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Artificial Intelligence, 44 papers in Computer Science Applications and 20 papers in Education. Recurrent topics in Guanliang Chen's work include Online Learning and Analytics (42 papers), Intelligent Tutoring Systems and Adaptive Learning (21 papers) and Topic Modeling (18 papers). Guanliang Chen is often cited by papers focused on Online Learning and Analytics (42 papers), Intelligent Tutoring Systems and Adaptive Learning (21 papers) and Topic Modeling (18 papers). Guanliang Chen collaborates with scholars based in Australia, China and Netherlands. Guanliang Chen's co-authors include Dragan Gašević, Li Chen, Claudia Hauff, Feng Wang, Roberto Martínez‐Maldonado, Dan Davis, Lixiang Yan, Lele Sha, Hassan Khosravi and Yi‐Shan Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Education.

In The Last Decade

Guanliang Chen

76 papers receiving 2.1k citations

Hit Papers

Explainable Artificial Intelli... 2015 2026 2018 2022 2022 2023 2015 2022 2021 50 100 150 200 250
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.

  1. Explainable Artificial Intelligence in education
    2022 292 citations Hassan Khosravi, Guanliang Chen et al. Computers and Education Artificial Intelligence profile →
  2. 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 →
  3. Recommender systems based on user reviews: the state of the art
    2015 254 citations Guanliang Chen et al. profile →
  4. Assessment in the age of artificial intelligence
    2022 171 citations Zachari Swiecki, Hassan Khosravi et al. Computers and Education Artificial Intelligence profile →
  5. Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study
    2021 165 citations Lixiang Yan, Alexander Whitelock‐Wainwright 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 Career Trend Papers Cites
Guanliang Chen Australia 20 989 841 502 494 304 84 2.2k
Yi‐Shan Tsai Australia 23 491 0.5× 1.2k 1.4× 484 1.0× 335 0.7× 196 0.6× 67 2.0k
Fatma Gizem Karaoğlan Yılmaz Türkiye 26 468 0.5× 741 0.9× 834 1.7× 351 0.7× 221 0.7× 100 2.2k
Tenzin Doleck Canada 27 498 0.5× 703 0.8× 685 1.4× 356 0.7× 174 0.6× 110 2.3k
Davy Tsz Kit Ng Hong Kong 27 659 0.7× 1.4k 1.7× 705 1.4× 701 1.4× 469 1.5× 54 3.0k
Ramazan Yılmaz Türkiye 27 543 0.5× 861 1.0× 1.2k 2.4× 465 0.9× 231 0.8× 97 2.6k
Mutlu Cukurova United Kingdom 25 718 0.7× 1.2k 1.5× 650 1.3× 494 1.0× 306 1.0× 79 2.6k
Ig Ibert Bittencourt Brazil 24 721 0.7× 809 1.0× 412 0.8× 650 1.3× 123 0.4× 193 2.3k
Diane Burke United States 15 321 0.3× 509 0.6× 696 1.4× 838 1.7× 253 0.8× 27 1.9k
Jiahong Su Hong Kong 21 418 0.4× 1.0k 1.2× 477 1.0× 415 0.8× 346 1.1× 42 2.0k
Ismaila Temitayo Sanusi Finland 20 353 0.4× 854 1.0× 353 0.7× 393 0.8× 148 0.5× 95 1.7k

Countries citing papers authored by Guanliang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guanliang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanliang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guanliang Chen. A scholar is included among the top collaborators of Guanliang Chen 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 Guanliang Chen. Guanliang Chen 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
1.
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
2.
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.
3.
Li, Yuheng, Mladen Raković, Namrata Srivastava, et al.. (2025). Can AI support human grading? Examining machine attention and confidence in short answer scoring. Computers & Education. 228. 105244–105244. 2 indexed citations
4.
Li, Yuheng, et al.. (2025). When AI explains in natural language: Unveiling the impact of generative AI explanations on educators’ grading and feedback practices. Education and Information Technologies. 30(17). 24931–24964.
5.
Hua, Zhu, et al.. (2025). How does interaction with LLM powered chatbots shape human understanding of culture? The need for Critical Interactional Competence (CritIC). Annual Review of Applied Linguistics. 45. 28–49. 1 indexed citations
6.
Li, Yuheng, Danijela Gašević, Guanliang Chen, et al.. (2025). Students’ Perceptions of Generative AI-Powered Learning Analytics in the Feedback Process. Journal of Learning Analytics. 12(1). 152–168. 4 indexed citations
7.
Srivastava, Namrata, et al.. (2025). When and how biases seep in: Enhancing debiasing approaches for fair educational predictive analytics. British Journal of Educational Technology. 56(6). 2478–2501. 1 indexed citations
8.
Dai, Wei, et al.. (2025). Evaluating the capability of large language models in characterising relational feedback: A comparative analysis of prompting strategies. Computers and Education Artificial Intelligence. 8. 100427–100427.
9.
Lin, Jionghao, et al.. (2025). Learning Analytics for Early Identification of At-Risk Students and Feedback Intervention. Journal of Learning Analytics. 12(3). 102–125.
10.
Sha, Lele, Gloria Milena Fernandez-Nieto, Yuheng Li, et al.. (2025). ShareFlows: Seamless Knowledge Capture and Proactive Push for Efficient Teacher Workflows in Higher Education. Monash University Research Portal (Monash University). 1242–1255.
11.
He, Chaobo, Ziliang Chen, Guanliang Chen, et al.. (2024). Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. 6959–6968. 1 indexed citations
12.
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
13.
Raković, Mladen, et al.. (2024). How educational chatbots support self-regulated learning? A systematic review of the literature. Education and Information Technologies. 30(4). 4493–4518. 16 indexed citations
14.
Suzuki, Shungo, et al.. (2024). Generative AI for professional communication training in intercultural contexts: where are we now and where are we heading?. Applied Linguistics Review. 16(2). 763–774. 17 indexed citations
15.
Fernandez-Nieto, Gloria Milena, Zachari Swiecki, Yi‐Shan Tsai, et al.. (2024). Co-designing a knowledge management tool for educator communities of practice. Designing Interactive Systems Conference. 1970–1990. 3 indexed citations
16.
Hua, Zhu, Guanliang Chen, Spencer Hazel, et al.. (2024). Exploring AI for intercultural communication: open conversation. Applied Linguistics Review. 16(2). 809–824. 2 indexed citations
17.
18.
Swiecki, Zachari, Hassan Khosravi, Guanliang Chen, et al.. (2022). Assessment in the age of artificial intelligence. Computers and Education Artificial Intelligence. 3. 100075–100075. 171 indexed citations breakdown →
19.
Yan, Lixiang, et al.. (2021). Students’ experience of online learning during the COVID‐19 pandemic: A province‐wide survey study. British Journal of Educational Technology. 52(5). 2038–2057. 165 indexed citations breakdown →
20.
Chen, Guanliang, et al.. (2017). On the prevalence of multiple-account cheating in massive open online learning. Educational Data Mining. 262–265. 1 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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