Fan-Ray Kuo

1.1k total citations
21 papers, 825 citations indexed

About

Fan-Ray Kuo is a scholar working on Information Systems, Developmental and Educational Psychology and Education. According to data from OpenAlex, Fan-Ray Kuo has authored 21 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Developmental and Educational Psychology and 9 papers in Education. Recurrent topics in Fan-Ray Kuo's work include Innovative Teaching and Learning Methods (11 papers), Mobile Learning in Education (8 papers) and Education and Learning Interventions (3 papers). Fan-Ray Kuo is often cited by papers focused on Innovative Teaching and Learning Methods (11 papers), Mobile Learning in Education (8 papers) and Education and Learning Interventions (3 papers). Fan-Ray Kuo collaborates with scholars based in Taiwan and Japan. Fan-Ray Kuo's co-authors include Gwo‐Jen Hwang, Nian‐Shing Chen, Peng-Yeng Yin, Ching‐Yi Chang, Jong‐Long Guo, Chun‐Chia Lee, Shih-Hui Gilbert Chang, Ya-Ting Carolyn Yang, Hui‐Chun Chu and Iwen Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and JMIR mhealth and uhealth.

In The Last Decade

Fan-Ray Kuo

21 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fan-Ray Kuo Taiwan 14 372 334 322 146 103 21 825
Bian Wu China 14 293 0.8× 173 0.5× 297 0.9× 168 1.2× 262 2.5× 33 902
Regina Kaplan‐Rakowski United States 15 361 1.0× 221 0.7× 156 0.5× 116 0.8× 270 2.6× 48 921
Petros Lameras United Kingdom 13 257 0.7× 171 0.5× 336 1.0× 190 1.3× 103 1.0× 47 783
Eric Poitras Canada 15 268 0.7× 119 0.4× 306 1.0× 192 1.3× 54 0.5× 50 680
Emmanuel Fokides Greece 15 200 0.5× 190 0.6× 263 0.8× 98 0.7× 185 1.8× 56 647
Kaushal Kumar Bhagat India 15 504 1.4× 204 0.6× 172 0.5× 145 1.0× 156 1.5× 48 930
Séverine Erhel France 8 193 0.5× 121 0.4× 443 1.4× 144 1.0× 87 0.8× 14 698
Wen‐Chi Vivian Wu Taiwan 16 683 1.8× 330 1.0× 257 0.8× 82 0.6× 84 0.8× 44 1.1k
Michael C. Mayrath United States 12 295 0.8× 73 0.2× 303 0.9× 71 0.5× 232 2.3× 17 683
Jeeheon Ryu South Korea 11 167 0.4× 111 0.3× 157 0.5× 66 0.5× 112 1.1× 84 558

Countries citing papers authored by Fan-Ray Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Fan-Ray Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan-Ray Kuo. 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 Fan-Ray Kuo. The network helps show where Fan-Ray Kuo may publish in the future.

Co-authorship network of co-authors of Fan-Ray Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Fan-Ray Kuo. A scholar is included among the top collaborators of Fan-Ray Kuo 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 Fan-Ray Kuo. Fan-Ray Kuo 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.
Chu, Hui‐Chun, Junming Chen, Fan-Ray Kuo, & Shumin Yang. (2021). Development of an Adaptive Game-Based Diagnostic and Remedial Learning System Based on the Concept-Effect Model for Improving Learning Achievements in Mathematics. SHILAP Revista de lepidopterología. 12 indexed citations
2.
Chang, Ching‐Yi, et al.. (2019). Effects of spherical video-based virtual reality on nursing students’ learning performance in childbirth education training. Interactive Learning Environments. 30(3). 400–416. 127 indexed citations
3.
4.
Chang, Ching‐Yi, et al.. (2018). A situation-based flipped classroom to improving nursing staff performance in advanced cardiac life support training course. Interactive Learning Environments. 27(8). 1062–1074. 21 indexed citations
5.
Hsu, Tien‐Yu, et al.. (2016). A curriculum-based virtual and physical mobile learning model for elementary schools in museums. The Electronic Library. 34(6). 997–1012. 10 indexed citations
6.
Yang, Ya-Ting Carolyn, et al.. (2015). 5E Mobile Inquiry Learning Approach for Enhancing Learning Motivation and Scientific Inquiry Ability of University Students. IEEE Transactions on Education. 59(2). 147–153. 46 indexed citations
7.
Kuo, Fan-Ray & Gwo‐Jen Hwang. (2015). A structural equation model to analyse the antecedents to students’ web-based problem-solving performance. Australasian Journal of Educational Technology. 31(4). 11 indexed citations
8.
Kuo, Fan-Ray & Gwo‐Jen Hwang. (2014). A Five-Phase Learning Cycle Approach to Improving the Web-based Problem- Solving Performance of Students. Educational Technology & Society. 17(1). 169–184. 13 indexed citations
9.
Hwang, Gwo‐Jen, et al.. (2014). Collab-Analyzer: An environment for conducting web-based collaborative learning activities and analyzing students’ information-searching behaviors. Australasian Journal of Educational Technology. 30(3). 10 indexed citations
10.
Hwang, Gwo‐Jen, et al.. (2013). Effects of Touch Technology-based Concept Mapping on Students' Learning Attitudes and Perceptions. Educational Technology & Society. 16(3). 274–285. 38 indexed citations
11.
Kuo, Fan-Ray, et al.. (2013). The effects of Embodiment-based TPR approach on student English vocabulary learning achievement, retention and acceptance. Journal of King Saud University - Computer and Information Sciences. 26(1). 63–70. 34 indexed citations
12.
13.
Kuo, Fan-Ray, Nian‐Shing Chen, & Gwo‐Jen Hwang. (2013). A creative thinking approach to enhancing the web-based problem solving performance of university students. Computers & Education. 72. 220–230. 41 indexed citations
14.
Hwang, Gwo‐Jen, et al.. (2013). A mindtool-based collaborative learning approach to enhancing students' innovative performance in management courses. Australasian Journal of Educational Technology. 29(1). 35 indexed citations
15.
16.
Kuo, Fan-Ray, Gwo‐Jen Hwang, & Chun‐Chia Lee. (2011). A hybrid approach to promoting students’ web-based problem-solving competence and learning attitude. Computers & Education. 58(1). 351–364. 76 indexed citations
17.
Hwang, Gwo‐Jen & Fan-Ray Kuo. (2011). An information-summarising instruction strategy for improving the web-based problem solving abilities of students. Australasian Journal of Educational Technology. 27(2). 30 indexed citations
18.
Hwang, Gwo‐Jen, et al.. (2009). A Heuristic Algorithm for planning personalized learning paths for context-aware ubiquitous learning. Computers & Education. 54(2). 404–415. 150 indexed citations
19.
Yang, Tzu‐Chi, Fan-Ray Kuo, Gwo‐Jen Hwang, & Hui‐Chun Chu. (2008). A Computer-Assisted Approach for Designing Context-Aware Ubiquitous Learning Activities. 9. 524–530. 10 indexed citations
20.
Kuo, Fan-Ray, Gwo‐Jen Hwang, Yen‐Jung Chen, & Shu‐Ling Wang. (2007). Standards and Tools for Context-Aware Ubiquitous Learning. 2004. 704–705. 11 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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