Kai Guo

1.5k citations
40 papers · 854 indexed · 4 hit papers · h-index 14
Topics
Innovative Teaching and Learning Methods (14 papers)AI in Service Interactions (11 papers)Educational Games and Gamification (10 papers)
Partner nations
Hong KongChinaAustralia

In The Last Decade

Kai Guo

35 papers receiving 812 citations

Hit Papers

Effects of chatbot-assisted in-class debates on students’...20232026202420252023202420242025255075

Peers

Kai Guo
Comparison fields: 5 of 70
  • Artificial Intelligence 382
  • Computer Science Applications 316
  • Developmental and Educational Psychology 210
  • Health Informatics 185
  • Education 163
Replace Tamara Tate with:
Tamara Tate United States
Weijiao Huang Hong Kong
Murod Ismailov Japan
Marzuki Marzuki Indonesia
Dongkwang Shin South Korea
Chaojun Ma Hong Kong
Kaori Nakao Japan
Charles Fadel
Jamie Costley South Korea
Xi Lin United States
Kai Guo relative to Tamara Tate United States Tamara Tate's profile →
Citations per field
00.5×2.9×
Tamara Tate · 1×
Citations per year

Countries citing papers authored by Kai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Kai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Guo. A scholar is included among the top collaborators of Kai Guo 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 Kai Guo. Kai Guo 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 0
2 0
3 2
4 0
5 1
6 2
7 1
8 3
9 0
10 37
11
Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing abilitybreakdown →
49
12 10
13 7
14 6
15 2
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17 19
18 3
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Effects of chatbot-assisted in-class debates on students’ argumentation skills and task motivationbreakdown →
92
20 43

About Kai Guo

Kai Guo is a scholar working on Health Informatics, Computer Science Applications and Developmental and Educational Psychology, having authored 40 papers that have together received 854 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (14 papers), AI in Service Interactions (11 papers) and Educational Games and Gamification (10 papers). The work is most often cited by research in Health Informatics (185 citations), Computer Science Applications (316 citations) and Developmental and Educational Psychology (210 citations). Kai Guo has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Samuel Kai Wah Chu, Deliang Wang, Danling Li, Yuchun Zhong, Jian Wang, Chun Lai, Jiahong Su, Hengky Susanto, Yongyan Li and Tan Jin. Their work appears in journals such as Computers & Education, TESOL Quarterly and Scientometrics.

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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