Chia‐Ju Lin

663 citations
29 papers · 327 indexed · h-index 11
Topics
Online Learning and Analytics (12 papers)Innovative Teaching and Learning Methods (9 papers)Educational Games and Gamification (6 papers)

In The Last Decade

Chia‐Ju Lin

26 papers receiving 319 citations

Peers

Chia‐Ju Lin
Comparison fields: 5 of 66
  • Computer Science Applications 133
  • Developmental and Educational Psychology 89
  • Artificial Intelligence 83
  • Civil and Structural Engineering 61
  • Education 57
Replace Etsuji Yamaguchi with:
Etsuji Yamaguchi Japan
Hijung Valentina Shin United States
Amanda Siebert-Evenstone United States
Bosede Iyiade Edwards Malaysia
Christian Giang Switzerland
Jannat Falah Jordan
Chun-Chia Hsu Taiwan
Nicola Macchiarulo Italy
Timothy A. Philpot United States
Hamed Monkaresi Australia
Chia‐Ju Lin relative to Etsuji Yamaguchi Japan Etsuji Yamaguchi's profile →
Citations per field
00.5×10×15×20×24.9×
Etsuji Yamaguchi · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 9
4 3
5 19
6 5
7 14
8 9
9 1
10 9
11 20
12 31
13 9
14 17
15 21
16 2
17 22
18 21
19 11
20
Novel Dynamic KNN with Adaptive Weighting Mechanism for Beacon-based Indoor Positioning System
4

About Chia‐Ju Lin

Chia‐Ju Lin is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Human-Computer Interaction, having authored 29 papers that have together received 327 indexed citations. Recurring topics across this work include Online Learning and Analytics (12 papers), Innovative Teaching and Learning Methods (9 papers) and Educational Games and Gamification (6 papers). The work is most often cited by research in Computer Science Applications (133 citations), Health Informatics (18 citations) and Developmental and Educational Psychology (89 citations). Chia‐Ju Lin has collaborated with scholars based in Taiwan, Estonia and United States. Frequent 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, Wei‐Lun Lee and Chien-hong Lin. Their work appears in journals such as Sustainability, Composite Structures and Applied Sciences.

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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