Minjuan Wang

3.9k total citations · 1 hit paper
83 papers, 2.2k citations indexed

About

Minjuan Wang is a scholar working on Information Systems, Education and Developmental and Educational Psychology. According to data from OpenAlex, Minjuan Wang has authored 83 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Information Systems, 23 papers in Education and 20 papers in Developmental and Educational Psychology. Recurrent topics in Minjuan Wang's work include Mobile Learning in Education (19 papers), Online and Blended Learning (19 papers) and Online Learning and Analytics (16 papers). Minjuan Wang is often cited by papers focused on Mobile Learning in Education (19 papers), Online and Blended Learning (19 papers) and Online Learning and Analytics (16 papers). Minjuan Wang collaborates with scholars based in United States, China and Hong Kong. Minjuan Wang's co-authors include Ruimin Shen, Xiaoyan Pan, Daniel Novák, Liping Shen, Xuesong Zhai, Xiaoyan Chu, Haiyang Yu, Usman Ghani, Bingqian Jiang and Junli Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computers & Education.

In The Last Decade

Minjuan Wang

80 papers receiving 2.0k citations

Hit Papers

Constructing an Edu-Metav... 2022 2026 2023 2024 2022 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Minjuan Wang 798 711 450 396 310 83 2.2k
Gwo‐Dong Chen 556 0.7× 902 1.3× 414 0.9× 563 1.4× 298 1.0× 112 2.1k
Christos Troussas 603 0.8× 419 0.6× 546 1.2× 390 1.0× 621 2.0× 140 2.0k
Antonio-José Moreno-Guerrero 1.0k 1.3× 1.2k 1.7× 546 1.2× 354 0.9× 148 0.5× 129 2.7k
Robert D. Macredie 720 0.9× 312 0.4× 405 0.9× 492 1.2× 381 1.2× 88 2.3k
César A. Collazos 678 0.8× 346 0.5× 542 1.2× 481 1.2× 158 0.5× 296 1.9k
Marcelo Milrad 1.3k 1.6× 812 1.1× 505 1.1× 711 1.8× 202 0.7× 149 2.3k
Harry Budi Santoso 631 0.8× 564 0.8× 411 0.9× 337 0.9× 353 1.1× 203 1.9k
Luis Fernández Sanz 624 0.8× 381 0.5× 545 1.2× 994 2.5× 246 0.8× 107 2.2k
Solomon Sunday Oyelere 643 0.8× 482 0.7× 837 1.9× 430 1.1× 330 1.1× 110 2.2k
Gary Cheng 453 0.6× 882 1.2× 568 1.3× 517 1.3× 659 2.1× 110 2.6k

Countries citing papers authored by Minjuan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minjuan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjuan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Minjuan Wang. A scholar is included among the top collaborators of Minjuan Wang 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 Minjuan Wang. Minjuan Wang 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.
Wang, Minjuan, et al.. (2025). Transforming Education With Generative AI (GAI): Key Insights and Future Prospects. IEEE Transactions on Learning Technologies. 18. 230–242. 10 indexed citations
2.
Wang, Minjuan, Kai Huo, & Jia Qian. (2024). Rolling bearings fault diagnosis method based on NRBO-SVM. 620–625. 3 indexed citations
3.
Wang, Minjuan, et al.. (2024). Exploring the Possibilities of Edu-Metaverse: A New 3-D Ecosystem Model for Innovative Learning. IEEE Transactions on Learning Technologies. 17. 1278–1289. 14 indexed citations
4.
Xu, Lixiang, et al.. (2024). Modeling Student Performance Using Feature Crosses Information for Knowledge Tracing. IEEE Transactions on Learning Technologies. 17. 1364–1377. 9 indexed citations
5.
Wang, Minjuan, Jungwoo Ryoo, & Kurt Winkelmann. (2023). Cross Reality (XR) and Immersive Learning Environments (ILEs) in Education. 1 indexed citations
6.
Pei, Bo, Wanli Xing, & Minjuan Wang. (2021). Academic development of multimodal learning analytics: a bibliometric analysis. Interactive Learning Environments. 31(6). 3543–3561. 24 indexed citations
7.
Gao, Wanlin, et al.. (2021). A Multimodal Fusion Method Based on a Rotation Invariant Hierarchical Model for Finger-based Recognition. KSII Transactions on Internet and Information Systems. 15(1). 5 indexed citations
8.
Zhai, Xuesong, Minjuan Wang, Nian‐Shing Chen, Usman Ghani, & Luca Cacciolatti. (2021). The secret thoughts of social network sites users: a scale for the measurement of online knowledge-hiding in a knowledge exchange (KE) context. Interactive Learning Environments. 1–15. 8 indexed citations
9.
Wang, Minjuan, Jungwoo Ryoo, & Kurt Winkelmann. (2020). Preface to the special issue on Cross Reality (XR) and Immersive Learning Environments (ILE) in education. Interactive Learning Environments. 28(5). 539–542. 6 indexed citations
10.
Wang, Minjuan, et al.. (2019). Team-based mobile learning supported by an intelligent system: case study of STEM students. Interactive Learning Environments. 28(5). 543–559. 58 indexed citations
11.
Wang, Minjuan, Vic Callaghan, Ethan Singer, & Hongbo Sun. (2016). DESIGN ENGAGING MOBILE LEARNING FOR THE GLOBAL AUDIENCE. DergiPark (Istanbul University). 1 indexed citations
12.
Wang, Minjuan, et al.. (2014). An Exposition of Current Mobile Learning Design Guidelines and Frameworks. International journal on e-learning. 13(1). 79–99. 7 indexed citations
13.
Wang, Minjuan. (2009). Studying on Design of Small-chunk Learning Resources in Mobile Learning.
14.
Wang, Minjuan. (2008). A Cybergogy Model for Engaged Learning.
15.
Wang, Minjuan, et al.. (2005). The Use of Blogs in Teaching, Knowledge Management, and Performance Improvement. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 3192–3199. 2 indexed citations
16.
Wang, Minjuan. (2004). An Ethnographic Study of Chinese Heritage Language Education and Technological Innovations. SHILAP Revista de lepidopterología. 4 indexed citations
17.
Wang, Minjuan. (2003). Tactics Study on Topic Selection in Automatic Creating Test Paper. 1 indexed citations
18.
Wang, Minjuan, et al.. (2002). Gender, Discourse Style, and Equal Participation in Online Learning. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2002(1). 2364–2367. 10 indexed citations
19.
Wang, Minjuan, et al.. (2001). The Construction of Shared Knowledge in an Internet-based Shared Environment for Expeditions (iExpeditions). Journal on Educational Technology. 2(2). 2 indexed citations
20.
Wang, Minjuan, et al.. (2000). How Do Youth and Mentors Experience Project-Based Learning in the Internet-Based Shared Environment for Expeditions (iExpeditions). American Educational Research Association Annual Meeting. 2000(1). 2 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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