Zhi Liu

1.2k total citations · 2 hit papers
55 papers, 765 citations indexed

About

Zhi Liu is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Zhi Liu has authored 55 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Science Applications, 25 papers in Developmental and Educational Psychology and 24 papers in Education. Recurrent topics in Zhi Liu's work include Online Learning and Analytics (30 papers), Online and Blended Learning (24 papers) and Innovative Teaching and Learning Methods (22 papers). Zhi Liu is often cited by papers focused on Online Learning and Analytics (30 papers), Online and Blended Learning (24 papers) and Innovative Teaching and Learning Methods (22 papers). Zhi Liu collaborates with scholars based in China, Australia and Germany. Zhi Liu's co-authors include Sannyuya Liu, Zongkai Yang, Xian Peng, Jianwen Sun, Tai Wang, Chongyang Yang, Liang Zhao, Fan Ouyang, Hercy N.H. Cheng and Zhu Su and has published in prestigious journals such as Expert Systems with Applications, Computers & Education and Frontiers in Psychology.

In The Last Decade

Zhi Liu

51 papers receiving 746 citations

Hit Papers

Automated detection of emotional and cognitive engagement... 2022 2026 2023 2024 2022 2024 50 100 150
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. Automated detection of emotional and cognitive engagement in MOOC discussions to predict learning achievement
    2022 161 citations Sannyuya Liu, Zhi Liu et al. Computers & Education profile →
  2. Profiling students’ learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach
    2024 41 citations Zhi Liu, Fan Ouyang et al. Computers & Education profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhi Liu China 17 319 267 233 179 122 55 765
Miaomiao Wen United States 16 580 1.8× 391 1.5× 253 1.1× 184 1.0× 117 1.0× 35 920
Anna N. Rafferty United States 14 211 0.7× 457 1.7× 200 0.9× 222 1.2× 142 1.2× 49 924
Safinah Ali United States 13 431 1.4× 188 0.7× 97 0.4× 168 0.9× 130 1.1× 31 853
Chih‐Yueh Chou Taiwan 17 347 1.1× 306 1.1× 345 1.5× 411 2.3× 222 1.8× 52 947
Paula De Barba Australia 12 758 2.4× 156 0.6× 454 1.9× 228 1.3× 119 1.0× 31 1.0k
Rianne Conijn Netherlands 11 417 1.3× 171 0.6× 351 1.5× 188 1.1× 135 1.1× 29 784
Tobias Ley Estonia 17 313 1.0× 151 0.6× 234 1.0× 213 1.2× 225 1.8× 89 783
Maren Scheffel Germany 18 801 2.5× 219 0.8× 367 1.6× 303 1.7× 179 1.5× 56 1.1k
Felix Mödritscher Austria 12 216 0.7× 151 0.6× 159 0.7× 182 1.0× 191 1.6× 48 562
Dan Davis Netherlands 12 508 1.6× 133 0.5× 452 1.9× 365 2.0× 139 1.1× 29 930

Countries citing papers authored by Zhi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Liu. A scholar is included among the top collaborators of Zhi Liu 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 Zhi Liu. Zhi Liu 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.
2.
Yu, Meng-Lin, et al.. (2025). Exploring cognitive presence patterns in GenAI-integrated six-hat thinking technique scaffolded discussion: an epistemic network analysis. International Journal of Educational Technology in Higher Education. 22(1). 1 indexed citations
3.
Shao, Zhongjun, et al.. (2025). Ecological network analysis of attention flow in online learning: Insights into knowledge acquisition and dropout behaviors. Information Processing & Management. 62(5). 104163–104163.
4.
Liu, Zhi, et al.. (2025). Dual-view cross attention enhanced semi-supervised learning method for discourse cognitive engagement classification in online course discussions. Expert Systems with Applications. 278. 127339–127339. 7 indexed citations
5.
Liu, Sannyuya, et al.. (2024). How academic stress affects academic performance: A chain-mediated model of sex moderation. Journal of Psychology in Africa. 34(5). 487–494. 2 indexed citations
6.
Liu, Zhi, et al.. (2024). Investigating the relationships among peer moderation, cognitive engagement, and learning achievement in online discussion forums. Interactive Learning Environments. 33(1). 901–919. 5 indexed citations
7.
Liu, Zhi, et al.. (2024). Profiling students’ learning engagement in MOOC discussions to identify learning achievement: An automated configurational approach. Computers & Education. 219. 105109–105109. 41 indexed citations breakdown →
8.
Liu, Zhi, et al.. (2024). Triple contrastive learning representation boosting for supervised multiclass tasks. Information Processing & Management. 62(3). 104011–104011. 2 indexed citations
9.
Liu, Zhi, et al.. (2024). Exploratory study of an AI-supported discussion representational tool for online collaborative learning in a Chinese university. The Internet and Higher Education. 64. 100973–100973. 9 indexed citations
10.
Liu, Zhi, et al.. (2024). Graph Contrastive Learning via Hierarchical Multiview Enhancement for Recommendation. IEEE Transactions on Industrial Informatics. 21(3). 2403–2412. 1 indexed citations
11.
Sun, Jianwen, et al.. (2023). Weighted Heterogeneous Graph-Based Three-View Contrastive Learning for Knowledge Tracing in Personalized e-Learning Systems. IEEE Transactions on Consumer Electronics. 70(1). 2838–2847. 16 indexed citations
12.
Su, Zhu, et al.. (2023). An analysis approach for blended learning based on weighted multiplex networks. Educational Technology Research and Development. 71(5). 1941–1963. 2 indexed citations
13.
14.
Liu, Zhi, et al.. (2022). Modeling temporal cognitive topic to uncover learners’ concerns under different cognitive engagement patterns. Interactive Learning Environments. 31(10). 7196–7213. 10 indexed citations
15.
Liu, Sannyuya, et al.. (2022). Exploring the relationships between students’ network characteristics, discussion topics and learning outcomes in a course discussion forum. Journal of Computing in Higher Education. 35(3). 487–520. 8 indexed citations
16.
Liu, Sannyuya, Zhi Liu, Jing Fang, et al.. (2021). Computer-supported collaborative concept mapping: the impact of students’ perceptions of collaboration on their knowledge understanding and behavioral patterns. Interactive Learning Environments. 31(6). 3340–3359. 20 indexed citations
17.
Su, Zhu, et al.. (2020). Investigating students’ dynamic learning emotions and interactions in online discussion. 8. 170–175. 1 indexed citations
18.
Liu, Zhi, et al.. (2019). Temporal emotion-aspect modeling for discovering what students are concerned about in online course forums. Interactive Learning Environments. 27(5-6). 598–627. 56 indexed citations
19.
20.
Yang, Zongkai, et al.. (2014). Adaptive multi-view selection for semi-supervised emotion recognition of posts in online student community. Neurocomputing. 144. 138–150. 26 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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