Mingwen Tong

480 total citations
30 papers, 320 citations indexed

About

Mingwen Tong is a scholar working on Education, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Mingwen Tong has authored 30 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Education, 10 papers in Computer Science Applications and 8 papers in Artificial Intelligence. Recurrent topics in Mingwen Tong's work include Online Learning and Analytics (9 papers), Online and Blended Learning (8 papers) and Innovative Teaching and Learning Methods (6 papers). Mingwen Tong is often cited by papers focused on Online Learning and Analytics (9 papers), Online and Blended Learning (8 papers) and Innovative Teaching and Learning Methods (6 papers). Mingwen Tong collaborates with scholars based in China, Singapore and Germany. Mingwen Tong's co-authors include Taotao Long, Yantao Wei, Yafei Shi, He Deng, Qingtang Liu, Huang Yao, Adrian Hilton, Yasong Chen, Zongkai Yang and Mengyuan Chen and has published in prestigious journals such as Computers & Education, Sensors and Sustainability.

In The Last Decade

Mingwen Tong

26 papers receiving 308 citations

Peers

Mingwen Tong
Mingwen Tong
Citations per year, relative to Mingwen Tong Mingwen Tong (= 1×) peers Jixin Wang

Countries citing papers authored by Mingwen Tong

Since Specialization
Citations

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

Fields of papers citing papers by Mingwen Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingwen Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Mingwen Tong. A scholar is included among the top collaborators of Mingwen Tong 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 Mingwen Tong. Mingwen Tong 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.
Zhang, Si, et al.. (2024). Revealing the interplay of cognitive, meta-cognitive, and social processes in university students’ collaborative problem solving: a three-stage analytical framework. International Journal of Computer-Supported Collaborative Learning. 20(1). 9–39. 3 indexed citations
2.
Wei, Yantao, et al.. (2024). Camera-Based HRV Prediction for Remote Learning Environments. 1165–1173. 2 indexed citations
3.
Tong, Mingwen, et al.. (2024). Innovation and diffusion of blended synchronous classroom in Chinese primary and junior middle schools. Educational Technology Research and Development. 72(4). 2373–2400. 2 indexed citations
4.
Gao, Qianqian, et al.. (2024). A Study of Process-Oriented Guided Inquiry Learning (POGIL) in the Blended Synchronous Science Classroom. Journal of Science Education and Technology. 34(1). 103–121.
5.
Long, Taotao, et al.. (2024). Exploring acceptance toward tablet-based learning among K-12 students in Southeast China: Age and gender differences. Journal of Computers in Education. 12(2). 529–549. 3 indexed citations
6.
Yang, Fan, et al.. (2024). Research on aspect-based sentiment analysis of movie reviews based on deep learning. Journal of Information Science. 1 indexed citations
7.
Yao, Huang, Liping Liu, Yantao Wei, Di Chen, & Mingwen Tong. (2023). Infrared Small-Target Detection Using Multidirectional Local Difference Measure Weighted by Entropy. Sustainability. 15(3). 1902–1902. 8 indexed citations
8.
Tong, Mingwen, et al.. (2023). The Research on Dynamical Model of Adaptive Learning System. 56–60. 1 indexed citations
9.
Wei, Yantao, et al.. (2023). Understanding the effect of video conferencing learning environments on students' engagement: The role of basic psychological needs. Journal of Computer Assisted Learning. 40(1). 288–305. 9 indexed citations
10.
Gao, Qianqian, Si Zhang, Zhihui Cai, et al.. (2022). Understanding student teachers’ collaborative problem solving competency: Insights from process data and multidimensional item response theory. Thinking Skills and Creativity. 45. 101097–101097. 15 indexed citations
11.
Wei, Yantao, et al.. (2022). Bimodal Learning Engagement Recognition from Videos in the Classroom. Sensors. 22(16). 5932–5932. 27 indexed citations
14.
Chen, Jia, et al.. (2020). Channel and spatial attention based deep object co-segmentation. Knowledge-Based Systems. 211. 106550–106550. 29 indexed citations
16.
Xu, Ling, et al.. (2019). Application of Concept Map in the Study of Computational Thinking Training. 454–459. 4 indexed citations
17.
Shi, Yafei, Yantao Wei, Donghui Pan, et al.. (2018). Student body gesture recognition based on Fisher broad learning system. International Journal of Wavelets Multiresolution and Information Processing. 17(1). 1950001–1950001. 11 indexed citations
18.
Tong, Mingwen, et al.. (2017). Application of Ensemble Algorithm in Students' Performance Prediction. 735–740. 17 indexed citations
19.
Deng, He, Yantao Wei, & Mingwen Tong. (2013). Small target detection based on weighted self-information map. Infrared Physics & Technology. 60. 197–206. 26 indexed citations
20.
Tong, Mingwen, Qingtang Liu, & Xiaoning Liu. (2010). A service context model based on ontology for content adaptation in E-learning. S1D–1. 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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