Chia‐Ju Lin

39 total papers · 609 total citations
28 papers, 308 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 28 papers receiving a total of 308 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, United States and Estonia. Chia‐Ju Lin's co-authors include Yueh‐Min Huang, Hsin‐Yu Lee, Wei‐Sheng Wang, Ting‐Ting Wu, Nan‐Jing Wu, Weisheng Wang, Kao‐Shing Hwang, Margus Pedaste, Wei‐Lun Lee and Chien-hong Lin and has published in prestigious journals such as Sustainability, Composite Structures and Applied Sciences.

In The Last Decade

Chia‐Ju Lin

25 papers receiving 301 citations

Author Peers

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

Author Last Decade Papers Cites
Chia‐Ju Lin 130 86 78 60 56 28 308
Pablo Torres-Carrión 48 0.4× 40 0.5× 37 0.5× 7 0.1× 43 0.8× 29 339
Thomas Ullmann 87 0.7× 51 0.6× 49 0.6× 15 0.3× 116 2.1× 50 358
Patricia Compañ 128 1.0× 97 1.1× 33 0.4× 11 0.2× 53 0.9× 33 277
Hyuksoo Kwon 42 0.3× 42 0.5× 24 0.3× 3 0.1× 93 1.7× 30 286
Lily D. Li 75 0.6× 29 0.3× 98 1.3× 4 0.1× 42 0.8× 20 346
Núria Martí Audí 47 0.4× 45 0.5× 15 0.2× 8 0.1× 68 1.2× 23 350
Lawrence L. Smith 16 0.1× 159 1.8× 16 0.2× 62 1.0× 205 3.7× 27 360
Shih-Yeh Chen 92 0.7× 73 0.8× 41 0.5× 1 0.0× 65 1.2× 25 324
Nasrin Dehbozorgi 100 0.8× 38 0.4× 78 1.0× 45 0.8× 31 239
David A. McMeekin 19 0.1× 22 0.3× 54 0.7× 6 0.1× 25 0.4× 51 299

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

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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