Rita Kuo

37 papers receiving 327 citations

Peers

Rita Kuo
Comparison fields: 5 of 57
  • Computer Science Applications 59
  • Safety, Risk, Reliability and Quality 54
  • Control and Systems Engineering 114
  • Developmental and Educational Psychology 56
  • Electrical and Electronic Engineering 181
Replace Dan Sun with:
Dan Sun China
Kevin Wang United States
Sasithorn Chookaew Thailand
Bryan Robbins United States
Jubilant J Kizhakkethottam India
Olutayo Kehinde Boyinbode Nigeria
Lisa Jing Yan United States
Yun‐Cheng Ju United Kingdom
Andy Myers United States
Carolina Mañoso Spain
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Citations per year

Countries citing papers authored by Rita Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rita Kuo, 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 Rita Kuo Line = papers co-authored together Rita Kuo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992121
2 199179
3
Applying Knowledge Map to Intelligent Agents in Problem Solving Systems
200216
4 201713
5 202111
6 200911
7 20099
8 20159
9 20079
10
Analyzing Problem's Difficulty based on Neural Networks and Knowledge Map
20048
11 20048
12 20127
13 20046
14 20234
15 20024
16 20113
17
Proceedings of the 4th International Conference on E-Learning and Games: Learning by Playing. Game-based Education System Design and Development
20093
18 20253
19 20183
20 20173

About Rita Kuo

Rita Kuo is a scholar working on Computer Science Applications, Developmental and Educational Psychology, Information Systems, Artificial Intelligence and Media Technology, having authored 47 papers that have together received 354 indexed citations. Recurring topics across this work include Educational Games and Gamification (10 papers), Online Learning and Analytics (8 papers), Teaching and Learning Programming (7 papers), Innovative Teaching and Learning Methods (6 papers), Educational Technology and Assessment (6 papers), Intelligent Tutoring Systems and Adaptive Learning (6 papers), Impact of Technology on Adolescents (5 papers) and Mobile Learning in Education (5 papers). The work is most often cited by research in Computer Science Applications (59 citations), Safety, Risk, Reliability and Quality (54 citations), Control and Systems Engineering (114 citations), Developmental and Educational Psychology (56 citations) and Electrical and Electronic Engineering (181 citations). Rita Kuo has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Maiga Chang, Yuan‐Yih Hsu, Jia‐Sheng Heh, C. Edward Chow, Shuquan Peng, Ying‐Chun Chien, Alex R. Chang, H. T. Kung, Kinshuk and Eric Zhi Feng Liu. Their work appears in journals such as Research and Practice in Technology Enhanced Learning, IEEE Transactions on Power Delivery, Educational Technology & Society, Lecture notes in computer science and Lecture notes in educational technology.

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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