Kai Guo

1.5k total citations · 4 hit papers
40 papers, 854 citations indexed

About

Kai Guo is a scholar working on Developmental and Educational Psychology, Artificial Intelligence and Education. According to data from OpenAlex, Kai Guo has authored 40 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Developmental and Educational Psychology, 17 papers in Artificial Intelligence and 11 papers in Education. Recurrent topics in Kai Guo's work include Innovative Teaching and Learning Methods (14 papers), AI in Service Interactions (11 papers) and Educational Games and Gamification (10 papers). Kai Guo is often cited by papers focused on Innovative Teaching and Learning Methods (14 papers), AI in Service Interactions (11 papers) and Educational Games and Gamification (10 papers). Kai Guo collaborates with scholars based in Hong Kong, China and Australia. Kai Guo's 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 and has published in prestigious journals such as Computers & Education, TESOL Quarterly and Scientometrics.

In The Last Decade

Kai Guo

35 papers receiving 812 citations

Hit Papers

Effects of chatbot-assisted in-class debates on students’... 2023 2026 2024 2025 2023 2024 2024 2025 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Guo Hong Kong 14 382 316 210 185 163 40 854
Weijiao Huang Hong Kong 7 446 1.2× 284 0.9× 120 0.6× 115 0.6× 188 1.2× 12 727
Tamara Tate United States 12 217 0.6× 159 0.5× 144 0.7× 169 0.9× 213 1.3× 25 644
Murod Ismailov Japan 10 167 0.4× 237 0.8× 110 0.5× 87 0.5× 172 1.1× 15 671
Marzuki Marzuki Indonesia 8 187 0.5× 161 0.5× 80 0.4× 159 0.9× 202 1.2× 65 644
Dongkwang Shin South Korea 11 245 0.6× 124 0.4× 102 0.5× 55 0.3× 116 0.7× 40 526
Chaojun Ma Hong Kong 5 179 0.5× 151 0.5× 70 0.3× 94 0.5× 83 0.5× 6 487
Kaori Nakao Japan 8 222 0.6× 129 0.4× 105 0.5× 48 0.3× 163 1.0× 14 533
Charles Fadel 3 158 0.4× 246 0.8× 85 0.4× 75 0.4× 131 0.8× 4 545
Ruofei Zhang Hong Kong 16 209 0.5× 182 0.6× 352 1.7× 46 0.2× 292 1.8× 41 888
Jamie Costley South Korea 16 94 0.2× 206 0.7× 251 1.2× 32 0.2× 457 2.8× 75 805

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
1.
Zhong, Yuchun, Kai Guo, Libo Xu, & Luke K. Fryer. (2026). From virtual to reality: A systematic review of the impact of virtual reality on skill acquisition, retention, and transfer. Educational Research Review. 50. 100767–100767.
2.
Guo, Kai, et al.. (2025). Empowering GraphRAG with Knowledge Filtering and Integration. 25450–25464. 1 indexed citations
3.
Guo, Kai, et al.. (2025). EFL secondary students’ use of ChatGPT for writing task completion pathways. The Journal of Educational Research. 118(6). 596–609. 2 indexed citations
4.
Lai, Chun, et al.. (2025). AI chatbots as reading companions in self‐directed out‐of‐class reading: A self‐determination theory perspective. British Journal of Educational Technology. 2 indexed citations
7.
Li, Danling, et al.. (2025). Generative AI-powered non-player characters in digital storyline-based learning: an innovative approach to EFL writing. Innovation in Language Learning and Teaching. 1–15.
8.
Guo, Kai & Danling Li. (2024). Understanding EFL students’ use of self-made AI chatbots as personalized writing assistance tools: A mixed methods study. System. 124. 103362–103362. 37 indexed citations
9.
Zhong, Yuchun, Kai Guo, & Samuel Kai Wah Chu. (2024). Affordances and constraints of integrating esports into higher education from the perspectives of students and teachers: An ecological systems approach. Education and Information Technologies. 29(13). 16777–16811. 7 indexed citations
10.
Guo, Kai, et al.. (2024). Sudowrite: Co-Writing Creative Stories with Artificial Intelligence. RELC Journal. 56(3). 794–798. 2 indexed citations
11.
Guo, Kai, et al.. (2024). Investigating EFL teachers’ lesson planning for chatbot-assisted learning of argumentative writing: a TPACK perspective. Interactive Learning Environments. 33(2). 1520–1541. 3 indexed citations
12.
Guo, Kai, et al.. (2024). Using AI ‐supported peer review to enhance feedback literacy: An investigation of students' revision of feedback on peers' essays. British Journal of Educational Technology. 56(4). 1612–1639. 6 indexed citations
13.
Guo, Kai, et al.. (2024). Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing ability. The Internet and Higher Education. 63. 100962–100962. 49 indexed citations breakdown →
14.
Guo, Kai. (2024). EvaluMate: Using AI to support students’ feedback provision in peer assessment for writing. Assessing Writing. 61. 100864–100864. 10 indexed citations
15.
Zhong, Yuchun, et al.. (2024). More than just fun: Investigating students’ perceptions towards the potential of leveraging esports for promoting the acquisition of 21st century skills. Education and Information Technologies. 30(1). 1089–1121. 4 indexed citations
16.
Lai, Chun, et al.. (2024). Effects of GenAI-empowered interactive support on university EFL students' self-regulated strategy use and engagement in reading. The Internet and Higher Education. 65. 100991–100991. 33 indexed citations breakdown →
17.
Wang, Yanzhi, et al.. (2023). Understanding English as a Foreign Language Students’ Idea Generation Strategies for Creative Writing With Natural Language Generation Tools. Journal of Educational Computing Research. 61(7). 1464–1482. 19 indexed citations
18.
Guo, Kai, Yuchun Zhong, Zamzami Zainuddin, & Samuel Kai Wah Chu. (2023). Applying game-related methods in the writing classroom: A scoping review. Education and Information Technologies. 29(4). 4481–4504. 3 indexed citations
19.
Zhong, Yuchun, Kai Guo, Jiahong Su, & Samuel Kai Wah Chu. (2022). The impact of esports participation on the development of 21st century skills in youth: A systematic review. Computers & Education. 191. 104640–104640. 43 indexed citations
20.
Guo, Kai, Xinyu Chen, & Shen Qiao. (2022). Exploring a Collaborative Approach to Peer Feedback in EFL Writing: How Do Students Participate?. RELC Journal. 55(3). 658–672. 8 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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