Chia‐Ju Lin

663 total citations
29 papers, 327 citations indexed

About

Chia‐Ju Lin is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Chia‐Ju Lin has authored 29 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Science Applications, 12 papers in Developmental and Educational Psychology and 9 papers in Artificial Intelligence. Recurrent topics in Chia‐Ju Lin's work include Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (9 papers) and Educational Games and Gamification (6 papers). Chia‐Ju Lin is often cited by papers focused on Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (9 papers) and Educational Games and Gamification (6 papers). Chia‐Ju Lin collaborates with scholars based in Taiwan, Estonia and United States. Chia‐Ju Lin's co-authors include Yueh‐Min Huang, Hsin‐Yu Lee, Wei‐Sheng Wang, Ting‐Ting Wu, Nan‐Jing Wu, Weisheng Wang, Margus Pedaste, Kao‐Shing Hwang, Yi‐Wei Ma and Wei‐Lun Lee and has published in prestigious journals such as Sustainability, Composite Structures and Applied Sciences.

In The Last Decade

Chia‐Ju Lin

26 papers receiving 319 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chia‐Ju Lin Taiwan 11 133 89 83 61 57 29 327
Etsuji Yamaguchi Japan 9 18 0.1× 104 1.2× 11 0.1× 11 0.2× 117 2.1× 68 267
Hijung Valentina Shin United States 12 19 0.1× 24 0.3× 18 0.2× 32 0.5× 8 0.1× 20 347
Nicola Macchiarulo Italy 8 27 0.2× 17 0.2× 42 0.5× 3 0.0× 17 0.3× 20 210
Amanda Siebert-Evenstone United States 7 60 0.5× 83 0.9× 30 0.4× 41 0.7× 12 219
Jannat Falah Jordan 8 14 0.1× 47 0.5× 28 0.3× 3 0.0× 47 0.8× 13 333
Chun-Chia Hsu Taiwan 8 37 0.3× 97 1.1× 26 0.3× 1 0.0× 86 1.5× 21 409
Christian Giang Switzerland 8 193 1.5× 84 0.9× 28 0.3× 47 0.8× 14 310
Bosede Iyiade Edwards Malaysia 5 48 0.4× 35 0.4× 55 0.7× 47 0.8× 19 236
Iman Alikhani Finland 7 65 0.5× 71 0.8× 28 0.3× 1 0.0× 41 0.7× 10 278
Boris Aberšek Slovenia 12 27 0.2× 38 0.4× 21 0.3× 6 0.1× 134 2.4× 63 369

Countries citing papers authored by Chia‐Ju Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ju Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ju Lin. 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 Chia‐Ju Lin. The network helps show where Chia‐Ju Lin may publish in the future.

Co-authorship network of co-authors of Chia‐Ju Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Ju Lin. A scholar is included among the top collaborators of Chia‐Ju Lin 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 Chia‐Ju Lin. Chia‐Ju Lin 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, Wei‐Sheng, Chia‐Ju Lin, Hsin‐Yu Lee, Yueh‐Min Huang, & Ting‐Ting Wu. (2025). Enhancing self-regulated learning and higher-order thinking skills in virtual reality: the impact of ChatGPT-integrated feedback aids. Education and Information Technologies. 30(14). 19419–19445. 9 indexed citations
2.
3.
Lin, Chien-hong, et al.. (2024). Effective magnetoelastic responses of hybrid fiber composites with viscoelastic matrices. Composite Structures. 333. 117874–117874. 2 indexed citations
4.
Lin, Chia‐Ju, et al.. (2024). Interventions in STEM Education Through Speech Recognition-Based Learning Analysis. Journal of Educational Computing Research. 63(2). 311–335. 1 indexed citations
5.
Wang, Wei‐Sheng, et al.. (2024). Enhancing students' learning outcomes in self‐regulated virtual reality learning environment with learning aid mechanisms. British Journal of Educational Technology. 56(1). 366–387. 3 indexed citations
6.
Wang, Wei‐Sheng, Margus Pedaste, Chia‐Ju Lin, et al.. (2024). Signaling feedback mechanisms to promoting self-regulated learning and motivation in virtual reality transferred to real-world hands-on tasks. Interactive Learning Environments. 32(10). 7661–7676. 9 indexed citations
7.
Lee, Hsin‐Yu, et al.. (2024). InquiryGPT: Augmenting ChatGPT for Enhancing Inquiry-Based Learning in STEM Education. Journal of Educational Computing Research. 62(8). 1937–1966. 9 indexed citations
8.
Lin, Chia‐Ju, Hsin‐Yu Lee, Wei‐Sheng Wang, Yueh‐Min Huang, & Ting‐Ting Wu. (2024). Enhancing reflective thinking in STEM education through experiential learning: The role of generative AI as a learning aid. Education and Information Technologies. 30(5). 6315–6337. 20 indexed citations
9.
Lin, Chia‐Ju, Hsin‐Yu Lee, Wei‐Sheng Wang, Yueh‐Min Huang, & Ting‐Ting Wu. (2024). Enhancing STEM collaboration through reflective strategies in the 6E learning model: insights from voice recognition analysis. Education and Information Technologies. 30(4). 4251–4276. 5 indexed citations
10.
Wu, Ting‐Ting, et al.. (2024). Integrating peer assessment cycle into ChatGPT for STEM education: A randomised controlled trial on knowledge, skills, and attitudes enhancement. Journal of Computer Assisted Learning. 41(1). 14 indexed citations
11.
Lee, Hsin‐Yu, et al.. (2023). Image4Assess: Automatic learning processes recognition using image processing. 11–16. 2 indexed citations
12.
Wu, Ting‐Ting, et al.. (2023). Tracking Visual Programming Language-Based Learning Progress for Computational Thinking Education. Sustainability. 15(3). 1983–1983. 9 indexed citations
13.
Lin, Chia‐Ju, Wei‐Sheng Wang, Hsin‐Yu Lee, Yueh‐Min Huang, & Ting‐Ting Wu. (2023). Recognitions of image and speech to improve learning diagnosis on STEM collaborative activity for precision education. Education and Information Technologies. 29(11). 13859–13884. 11 indexed citations
14.
Lee, Hsin‐Yu, et al.. (2023). Precision education via timely intervention in K-12 computer programming course to enhance programming skill and affective-domain learning objectives. International Journal of STEM Education. 10(1). 17 indexed citations
15.
Wang, Wei‐Sheng, et al.. (2023). Impact of anxiety and confidence in virtual reality‐mediated learning transferred to hands‐on tasks. Journal of Computer Assisted Learning. 39(4). 1368–1381. 9 indexed citations
16.
Lee, Hsin‐Yu, et al.. (2023). Exploring the Learning Process and Effectiveness of STEM Education via Learning Behavior Analysis and the Interactive-Constructive- Active-Passive Framework. Journal of Educational Computing Research. 61(5). 951–976. 21 indexed citations
17.
Lee, Hsin‐Yu, Ting‐Ting Wu, Chia‐Ju Lin, Wei‐Sheng Wang, & Yueh‐Min Huang. (2023). Integrating Computational Thinking Into Scaffolding Learning: An Innovative Approach to Enhance Science, Technology, Engineering, and Mathematics Hands-On Learning. Journal of Educational Computing Research. 62(2). 211–247. 21 indexed citations
18.
Wang, Wei‐Sheng, Chia‐Ju Lin, Hsin‐Yu Lee, Ting‐Ting Wu, & Yueh‐Min Huang. (2023). Feedback Mechanism in Immersive Virtual Reality Influences Physical Hands-on Task Performance and Cognitive Load. International Journal of Human-Computer Interaction. 40(15). 4103–4115. 22 indexed citations
19.
Wu, Ting‐Ting, Hsin‐Yu Lee, Wei‐Sheng Wang, Chia‐Ju Lin, & Yueh‐Min Huang. (2023). Leveraging computer vision for adaptive learning in STEM education: effect of engagement and self-efficacy. International Journal of Educational Technology in Higher Education. 20(1). 31 indexed citations
20.
Ma, Yi‐Wei, et al.. (2019). Novel Dynamic KNN with Adaptive Weighting Mechanism for Beacon-based Indoor Positioning System. 網際網路技術學刊. 20(5). 1601–1610. 4 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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