Zhongmei Han

928 total citations
25 papers, 634 citations indexed

About

Zhongmei Han is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Zhongmei Han has authored 25 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Science Applications, 10 papers in Developmental and Educational Psychology and 7 papers in Artificial Intelligence. Recurrent topics in Zhongmei Han's work include Online Learning and Analytics (14 papers), Innovative Teaching and Learning Methods (9 papers) and Online and Blended Learning (6 papers). Zhongmei Han is often cited by papers focused on Online Learning and Analytics (14 papers), Innovative Teaching and Learning Methods (9 papers) and Online and Blended Learning (6 papers). Zhongmei Han collaborates with scholars based in China, Australia and Taiwan. Zhongmei Han's co-authors include Changqin Huang, Ming Li, Xizhe Wang, Qionghao Huang, Jianhui Yu, Tao He, Wenzhu Zhao, Weiyu Huang, Huaifa Ma and Wenxiang Xu and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and Computers & Education.

In The Last Decade

Zhongmei Han

23 papers receiving 617 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhongmei Han China 14 190 133 133 123 90 25 634
Minseok Kang South Korea 12 44 0.2× 233 1.8× 82 0.6× 105 0.9× 57 0.6× 49 670
Pascal Klein Germany 18 95 0.5× 393 3.0× 83 0.6× 105 0.9× 191 2.1× 73 942
Brenna McNally United States 14 69 0.4× 192 1.4× 57 0.4× 90 0.7× 44 0.5× 38 628
Yang Jiang China 15 160 0.8× 75 0.6× 54 0.4× 40 0.3× 76 0.8× 55 629
Norma Alias Malaysia 10 87 0.5× 192 1.4× 79 0.6× 106 0.9× 31 0.3× 104 651
Yi‐Ling Chen Taiwan 16 183 1.0× 92 0.7× 46 0.3× 95 0.8× 67 0.7× 52 751
Dino Schweitzer United States 12 71 0.4× 57 0.4× 127 1.0× 129 1.0× 48 0.5× 45 639
Cheng Yao China 13 97 0.5× 45 0.3× 20 0.2× 48 0.4× 43 0.5× 83 607
Murat Yılmaz Türkiye 15 46 0.2× 24 0.2× 123 0.9× 284 2.3× 148 1.6× 72 701

Countries citing papers authored by Zhongmei Han

Since Specialization
Citations

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

Fields of papers citing papers by Zhongmei Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongmei Han

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongmei Han. A scholar is included among the top collaborators of Zhongmei Han 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 Zhongmei Han. Zhongmei Han 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.
Huang, Changqin, et al.. (2025). PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis. International Journal of Multimedia Information Retrieval. 14(1). 2 indexed citations
2.
Zhu, Jia, et al.. (2025). KnowPath: An LLM-Supported Knowledge Graph Construction and Path Finding Framework to Explainable MOOC Recommendations. ACM Transactions on Information Systems. 44(2). 1–28.
3.
Huang, Changqin, Zhongmei Han, Xiaodi Huang, et al.. (2025). Modeling Fine-Grained Relations in Dynamic Space-Time Graphs for Video-Based Facial Expression Recognition. IEEE Transactions on Affective Computing. 16(3). 1675–1692. 2 indexed citations
4.
Han, Zhongmei, et al.. (2025). Identifying students’ metacognition patterns by their needs for cognitive closure in human-GenAI collaboration. Computers & Education. 239. 105422–105422. 1 indexed citations
5.
6.
Huang, Changqin, et al.. (2025). Enhancing student reading performance through a personalized two-tier problem-based learning approach with generative artificial intelligence. Humanities and Social Sciences Communications. 12(1). 1 indexed citations
7.
Huang, Changqin, et al.. (2024). Learning consistent representations with temporal and causal enhancement for knowledge tracing. Expert Systems with Applications. 245. 123128–123128. 25 indexed citations
8.
Huang, Changqin, et al.. (2024). Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach. Interactive Learning Environments. 33(3). 2703–2717. 1 indexed citations
9.
Han, Zhongmei, et al.. (2023). A Framework for Constructing a Technology -Enhanced Education Metaverse: Learner Engagement With Human–Machine Collaboration. IEEE Transactions on Learning Technologies. 16(6). 1179–1189. 29 indexed citations
10.
Huang, Changqin, Tao He, Xuemei Wu, et al.. (2023). The role of emotion regulation in predicting emotional engagement mediated by meta-emotion in online learning environments: a two-stage SEM-ANN approach. Educational Psychology. 43(7). 736–755. 6 indexed citations
11.
Huang, Changqin, et al.. (2023). Examining the relationship between peer feedback classified by deep learning and online learning burnout. Computers & Education. 207. 104910–104910. 56 indexed citations
12.
Huang, Changqin, et al.. (2023). Longitudinal exploration of online learning burnout: the role of social support and cognitive engagement. European Journal of Psychology of Education. 39(1). 361–388. 21 indexed citations
13.
Han, Zhongmei, et al.. (2023). Investigating the Emotion Patterns of Students’ Abnormal Interactions in Primary Class Teaching Contexts. Sustainability. 15(24). 16785–16785. 1 indexed citations
14.
Chen, Yuting, et al.. (2022). Promoting deep writing with immersive technologies: An SVVR ‐supported Chinese composition writing approach for primary schools. British Journal of Educational Technology. 53(6). 2071–2091. 40 indexed citations
15.
Wu, Xuemei, et al.. (2022). Identifying Learners’ Interaction Patterns in an Online Learning Community. International Journal of Environmental Research and Public Health. 19(4). 2245–2245. 26 indexed citations
16.
Wang, Xizhe, et al.. (2022). A Data-Driven Optimized Mechanism for Improving Online Collaborative Learning: Taking Cognitive Load into Account. International Journal of Environmental Research and Public Health. 19(12). 6984–6984. 5 indexed citations
17.
Han, Zhongmei, Qionghao Huang, Jie Zhang, et al.. (2022). GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network. Applied Intelligence. 52(11). 13162–13183. 5 indexed citations
18.
Han, Zhongmei, Changqin Huang, Jianhui Yu, & Chin‐Chung Tsai. (2021). Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis. Computers in Human Behavior. 122. 106843–106843. 38 indexed citations
19.
Hu, Qintai, et al.. (2018). Learning peer recommendation using attention-driven CNN with interaction tripartite graph. Information Sciences. 479. 231–249. 22 indexed citations
20.
Xu, Wenxiang, et al.. (2017). Random non-convex particle model for the fraction of interfacial transition zones (ITZs) in fully-graded concrete. Powder Technology. 323. 301–309. 58 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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