Yun‐Fang Tu
About
Yun‐Fang Tu is a scholar working on Developmental and Educational Psychology, Education and Information Systems.
According to data from OpenAlex, Yun‐Fang Tu has authored 65 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Developmental and Educational Psychology, 28 papers in Education and 23 papers in Information Systems. Recurrent topics in Yun‐Fang Tu's work include Innovative Teaching and Learning Methods (20 papers), Online Learning and Analytics (13 papers) and Mobile Learning in Education (13 papers). Yun‐Fang Tu is often cited by papers focused on Innovative Teaching and Learning Methods (20 papers), Online Learning and Analytics (13 papers) and Mobile Learning in Education (13 papers). Yun‐Fang Tu collaborates with scholars based in Taiwan, China and Hong Kong. Yun‐Fang Tu's co-authors include Gwo‐Jen Hwang, Youmei Wang, Chenchen Liu, Kai‐Yu Tang, Chenchen Liu, Hui‐Chun Chu, Biyun Huang, Michael Yi‐Chao Jiang, Ching Sing Chai and Morris Siu–Yung Jong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Sustainability.
In The Last Decade
Yun‐Fang Tu
57 papers receiving 1.0k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yun‐Fang Tu Taiwan | 19 | 377 | 332 | 255 | 244 | 236 | 65 | 1.1k | ||
| Shen Qiao Hong Kong | 10 | 455 1.2× | 184 0.6× | 267 1.0× | 206 0.8× | 224 0.9× | 19 | 1.1k | ||
| Zacharoula Papamitsiou Greece | 15 | 639 1.7× | 275 0.8× | 266 1.0× | 199 0.8× | 202 0.9× | 31 | 1.1k | ||
| Andy Nguyen Finland | 12 | 471 1.2× | 249 0.8× | 275 1.1× | 224 0.9× | 231 1.0× | 48 | 1.1k | ||
| Qi Xia Hong Kong | 10 | 506 1.3× | 205 0.6× | 339 1.3× | 221 0.9× | 204 0.9× | 19 | 1.1k | ||
| Vanessa Echeverría Australia | 17 | 394 1.0× | 169 0.5× | 186 0.7× | 119 0.5× | 237 1.0× | 60 | 791 | ||
| Grant Cooper Australia | 11 | 258 0.7× | 206 0.6× | 307 1.2× | 136 0.6× | 137 0.6× | 31 | 1.0k | ||
| Muhterem Dindar Finland | 21 | 387 1.0× | 361 1.1× | 196 0.8× | 172 0.7× | 465 2.0× | 39 | 1.2k | ||
| Yousef Wardat United Arab Emirates | 21 | 324 0.9× | 367 1.1× | 243 1.0× | 178 0.7× | 129 0.5× | 59 | 1.2k | ||
| Mohammadreza Farrokhnia Netherlands | 11 | 370 1.0× | 339 1.0× | 300 1.2× | 218 0.9× | 220 0.9× | 20 | 1.2k | ||
| Jac Ka Lok Leung Hong Kong | 12 | 747 2.0× | 301 0.9× | 411 1.6× | 333 1.4× | 239 1.0× | 17 | 1.6k |
Countries citing papers authored by Yun‐Fang Tu
Since
Specialization
Citations
This map shows the geographic impact of Yun‐Fang Tu'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 Yun‐Fang Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Fang Tu more than expected).
Fields of papers citing papers by Yun‐Fang Tu
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Yun‐Fang Tu. 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 Yun‐Fang Tu. The network helps show where Yun‐Fang Tu may publish in the future.
Co-authorship network of co-authors of Yun‐Fang Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Fang Tu. A scholar is included among the top collaborators of Yun‐Fang Tu 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 Yun‐Fang Tu. Yun‐Fang Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Ji, Tianyao, et al.. (2025). Effects of a human-robot collaborative teaching approach on preschoolers’ social-emotional competence and learning behaviors. Computers & Education. 240. 105469–105469.
2.
Liu, Chenchen, Dan Wang, Xiaoqing Gu, et al.. (2025). Facilitating pre-service teachers’ instructional design and higher-order thinking with generative AI: an integrated approach with the peer assessment and concept map. Journal of Research on Technology in Education. 1–26.
3.
Chen, Yuchen, Xinli Zhang, Yun‐Fang Tu, Gwo‐Jen Hwang, & Lailin Hu. (2025). Conceptions of image-generative AI-supported instruction of preservice teachers with different levels of learning attitude: a drawing and epistemic network analysis. Journal of Research on Technology in Education. 1–25.
4.
Liu, Chenchen, et al.. (2025). Effects of Structural Reflection‐Promoting Mechanism‐Based Peer Assessment on Students' Vocal Music Learning Performance and Perceptions. Journal of Computer Assisted Learning. 41(3).
5.
Zhang, Xinli, Yuchen Chen, Lailin Hu, Gwo‐Jen Hwang, & Yun‐Fang Tu. (2025). Developing preschool children’s computational thinking and executive functions: unplugged vs. robot programming activities. International Journal of STEM Education. 12(1).
6.
Hwang, Gwo‐Jen, et al.. (2025). Realization of parasocial interaction theory in STEAM education with an AI pedagogical agent: insights from learning performance, collaboration tendency, and problem-solving tendency. Interactive Learning Environments. 1–24.
7.
Zhang, Xinli, Yuchen Chen, Lailin Hu, et al.. (2024). A metaphor-based robot programming approach to facilitating young children’s computational thinking and positive learning behaviors. Computers & Education. 215. 105039–105039.
8.
Zhang, Xinli, Yuchen Chen, Danqing Li, et al.. (2023). Engaging Young Students in Effective Robotics Education: An Embodied Learning-Based Computer Programming Approach. Journal of Educational Computing Research. 62(2). 312–338.
9.
Liu, Chenchen, et al.. (2023). Engaging EFL students’ critical thinking tendency and in-depth reflection in technology-based writing contexts: A peer assessment-incorporated automatic evaluation approach. Education and Information Technologies. 28(10). 13027–13052.
10.
Tu, Yun‐Fang, et al.. (2023). Development of the social metacognition inventory for online collaborative argumentation: construct validity and reliability. Educational Technology Research and Development. 71(3). 949–971.
11.
Tu, Yun‐Fang & Gwo‐Jen Hwang. (2023). University students’ conceptions of ChatGPT-supported learning: a drawing and epistemic network analysis. Interactive Learning Environments. 32(10). 6790–6814.
12.
Hwang, Gwo‐Jen, et al.. (2022). Roles, applications, and research designs of robots in science education: a systematic review and bibliometric analysis of journal publications from 1996 to 2020. Interactive Learning Environments. 32(5). 1834–1859.
13.
Hwang, Gwo‐Jen, et al.. (2022). Roles, applications, and trends of concept map-supported learning: a systematic review and bibliometric analysis of publications from 1992 to 2020 in selected educational technology journals. Interactive Learning Environments. 31(9). 5995–6016.
14.
Hwang, Gwo‐Jen, et al.. (2022). Concept Mapping in Technology-Supported K-12 Education: A Systematic Review of Selected SSCI Publications From 2001 to 2020. Journal of Educational Computing Research. 60(7). 1637–1662.
15.
Liu, Chenchen, et al.. (2021). Research advancement and foci of mobile technology-supported music education: a systematic review and social network analysis on 2008-2019 academic publications. Interactive Learning Environments. 31(7). 4535–4554.
16.
Liu, Chenchen, et al.. (2021). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments. Interactive Learning Environments. 31(9). 5614–5632.
17.
Wang, Youmei, Chenchen Liu, & Yun‐Fang Tu. (2021). Factors Affecting the Adoption of AI-based Applications in Higher Education: An Analysis of Teachers’ Perspectives using Structural Equation Modeling. SHILAP Revista de lepidopterología.
18.
Hwang, Gwo‐Jen & Yun‐Fang Tu. (2021). Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review. Mathematics. 9(6). 584–584.
19.
Liu, Chenchen, et al.. (2021). From competition to social interaction: a mobile team-based competition approach to promoting students’ professional identity and perceptions. Interactive Learning Environments. 31(2). 1158–1172.
20.
Tu, Yun‐Fang & Gwo‐Jen Hwang. (2018). Trends and research issues of mobile learning studies in hospitality, leisure, sport and tourism education: a review of academic publications from 2002 to 2017. Interactive Learning Environments. 28(4). 385–403.
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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