Michael Pin-Chuan Lin

565 total citations
11 papers, 303 citations indexed

About

Michael Pin-Chuan Lin is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Michael Pin-Chuan Lin has authored 11 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Computer Science Applications and 4 papers in Developmental and Educational Psychology. Recurrent topics in Michael Pin-Chuan Lin's work include Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI in Service Interactions (4 papers). Michael Pin-Chuan Lin is often cited by papers focused on Online Learning and Analytics (5 papers), Innovative Teaching and Learning Methods (4 papers) and AI in Service Interactions (4 papers). Michael Pin-Chuan Lin collaborates with scholars based in Canada, Taiwan and Argentina. Michael Pin-Chuan Lin's co-authors include Daniel Chang, Shiva Hajian, Yu-Feng Lan, Philip H. Winne, John C. Nesbit, Eric Poitras, Maiga Chang, Jovita Vytasek, Mladen Raković and Chih‐Lin Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sustainability and Educational Technology Research and Development.

In The Last Decade

Michael Pin-Chuan Lin

9 papers receiving 288 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Pin-Chuan Lin Canada 8 151 137 96 67 50 11 303
Amr M. Mohamed Saudi Arabia 6 123 0.8× 154 1.1× 59 0.6× 75 1.1× 60 1.2× 21 349
Waverly Tseng United States 5 105 0.7× 150 1.1× 72 0.8× 76 1.1× 33 0.7× 6 348
Clare Baek United States 10 178 1.2× 69 0.5× 52 0.5× 81 1.2× 47 0.9× 16 338
Hyangeun Ji United States 4 99 0.7× 101 0.7× 43 0.4× 64 1.0× 38 0.8× 7 249
Elif Polat Türkiye 9 144 1.0× 61 0.4× 78 0.8× 99 1.5× 62 1.2× 24 330
Nadezhda Zhiyenbayeva Kazakhstan 5 135 0.9× 78 0.6× 43 0.4× 82 1.2× 83 1.7× 15 311
Joan Manuel Marquès Puig Spain 6 170 1.1× 208 1.5× 44 0.5× 57 0.9× 64 1.3× 10 357
Sinan Hopcan Türkiye 8 139 0.9× 61 0.4× 73 0.8× 104 1.6× 58 1.2× 26 324
Lu Zhong China 9 214 1.4× 85 0.6× 178 1.9× 122 1.8× 82 1.6× 12 376
Jiayu Niu China 8 194 1.3× 77 0.6× 165 1.7× 107 1.6× 64 1.3× 9 332

Countries citing papers authored by Michael Pin-Chuan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pin-Chuan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Pin-Chuan 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 Michael Pin-Chuan Lin. The network helps show where Michael Pin-Chuan Lin may publish in the future.

Co-authorship network of co-authors of Michael Pin-Chuan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Pin-Chuan Lin. A scholar is included among the top collaborators of Michael Pin-Chuan 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 Michael Pin-Chuan Lin. Michael Pin-Chuan Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hajian, Shiva, et al.. (2025). Motivational Theories in Action: A Guide for Teaching Artificial Intelligence Prompts to Support Student Learning Motivation. International Journal of Instruction. 18(4). 601–626.
2.
Chang, Daniel T., Michael Pin-Chuan Lin, & Gwo‐Jen Hwang. (2025). Charting the field: a review of argument visualization research for writing, learning, and reasoning. Frontiers in Education. 10.
3.
Lin, Michael Pin-Chuan, et al.. (2024). An Exploratory Study on the Efficacy and Inclusivity of AI Technologies in Diverse Learning Environments. Sustainability. 16(20). 8992–8992. 14 indexed citations
4.
Lin, Michael Pin-Chuan, Daniel Chang, & Philip H. Winne. (2024). A proposed methodology for investigating student-chatbot interaction patterns in giving peer feedback. Educational Technology Research and Development. 73(1). 353–386. 8 indexed citations
5.
Lin, Michael Pin-Chuan & Daniel Chang. (2023). CHAT-ACTS: A pedagogical framework for personalized chatbot to enhance active learning and self-regulated learning. Computers and Education Artificial Intelligence. 5. 100167–100167. 28 indexed citations
6.
7.
Lin, Michael Pin-Chuan & Daniel Chang. (2020). Enhancing Post-secondary Writers’ Writing Skills with a Chatbot: A Mixed-Method Classroom Study. SHILAP Revista de lepidopterología. 44 indexed citations
8.
Winne, Philip H., Daniel Chang, Michael Pin-Chuan Lin, et al.. (2019). nStudy: Software for Learning Analytics about Processes for Self-Regulated Learning. Journal of Learning Analytics. 6(2). 26 indexed citations
9.
Hu, Chih‐Lin, et al.. (2013). Gesture-assisted remote control for media content sharing and distribution in home networks. 87–88. 2 indexed citations
10.
Lan, Yu-Feng, et al.. (2012). An Approach to Encouraging and Evaluating Learner's Knowledge Contribution in Web-Based Collaborative Learning. Journal of Educational Computing Research. 47(2). 107–135. 11 indexed citations
11.
Lan, Yu-Feng & Michael Pin-Chuan Lin. (2011). Evaluation and improvement of student's question-posing ability in a web-based learning environment. Australasian Journal of Educational Technology. 27(4). 27 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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2026