Kai-Yi Chin

32 papers receiving 428 citations

Peers

Kai-Yi Chin
Comparison fields: 5 of 86
  • Computer Science Applications 104
  • Human-Computer Interaction 86
  • Information Systems 175
  • Developmental and Educational Psychology 87
  • Computer Vision and Pattern Recognition 118
Replace Rosario Gil with:
Rosario Gil Spain
Hsien-Sheng Hsiao Taiwan
Beatriz Añorbe Díaz Spain
Inmaculada Rodríguez Spain
Robbie Berg United States
Rob Ingram United Kingdom
Benjamim Fonseca Portugal
Mustafa Sırakaya Türkiye
Vanessa Colella United States
Fusako Kusunoki Japan
Kai-Yi Chin relative to Rosario Gil Spain Rosario Gil's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kai-Yi Chin

Since Specialization
Citations

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

Fields of papers citing papers by Kai-Yi Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Yi Chin. 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 Kai-Yi Chin. The network helps show where Kai-Yi Chin may publish in the future.

Co-authors

The 13 scholars most cited alongside Kai-Yi Chin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kai-Yi Chin Line = papers co-authored together Kai-Yi Chin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 202058
3 201345
4 201844
5 201534
6 201923
7 201720
8 202014
9 201113
10 202211
11 20138
12 20118
13 20196
14 20106
15 20235
16 20175
17 20234
18 20144
19 20094
20 20173

About Kai-Yi Chin

Kai-Yi Chin is a scholar working on Computer Vision and Pattern Recognition, Information Systems, Human-Computer Interaction, Artificial Intelligence and Control and Systems Engineering, having authored 35 papers that have together received 452 indexed citations. Recurring topics across this work include Augmented Reality Applications (10 papers), Virtual Reality Applications and Impacts (7 papers), Mobile Learning in Education (7 papers), Multi-Agent Systems and Negotiation (4 papers), Educational Games and Gamification (4 papers), Spatial Cognition and Navigation (4 papers), Mobile and Web Applications (3 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Science Applications (104 citations), Human-Computer Interaction (86 citations), Information Systems (175 citations), Developmental and Educational Psychology (87 citations) and Computer Vision and Pattern Recognition (118 citations). Kai-Yi Chin has collaborated with scholars based in Taiwan, Japan and Malaysia. Frequent co-authors include Yen‐Lin Chen, Zeng‐Wei Hong, Ching-Sheng Wang, Chin-Hsien Wu, Yueh‐Min Huang, Yu‐Chuan Chang, Tina Wu, Arthur J. Lin, Tai‐Hong Chen and Cheng‐Hung Chuang. Their work appears in journals such as Interactive Learning Environments, IEEE Transactions on Learning Technologies, Journal of low frequency noise, vibration and active control, Australasian Journal of Educational Technology and Sensors.

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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