Wookhee Min

920 citations
73 papers · 698 · h-index 15

Impact in

Papers in

Wookhee Min

67 papers receiving 665 citations

Peers

Wookhee Min
Comparison fields: 5 of 69
  • Computer Science Applications 263
  • Developmental and Educational Psychology 287
  • Artificial Intelligence 396
  • Human-Computer Interaction 33
  • Computer Vision and Pattern Recognition 86
Replace James Lester with:
James Lester United States
Katerina Mangaroska Norway
Amali Weerasinghe New Zealand
Pilar Rodrı́guez Spain
Myroslava O. Dzikovska United Kingdom
Reza Feyzi-Behnagh United States
Aldo Gordillo Spain
Po-Yao Chao Taiwan
Luc Paquette United States
Hyeonjin Kim South Korea
Wookhee Min relative to James Lester United States James Lester's profile →
Citations per field
00.5×2.5×
James Lester · 1×
Citations per year

Countries citing papers authored by Wookhee Min

Since Specialization
Citations

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

Fields of papers citing papers by Wookhee Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201960
2 201445
3 201741
4
Player goal recognition in open-world digital games with long short-term memory networks
201639
5 201934
6 201728
7 201528
8 201523
9 202022
10
Improving Stealth Assessment in Game-Based Learning with LSTM-Based Analytics
201820
11
Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments.
201920
12 201719
13 202017
14 201715
15 202214
16 202114
17 201514
18 200613
19 201611
20 201911

About Wookhee Min

Wookhee Min is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Computer Science Applications, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 73 papers that have together received 698 indexed citations. Recurring topics across this work include Educational Games and Gamification (36 papers), Intelligent Tutoring Systems and Adaptive Learning (27 papers), Teaching and Learning Programming (22 papers), Artificial Intelligence in Games (19 papers), Online Learning and Analytics (14 papers), Speech and dialogue systems (11 papers), Innovative Teaching and Learning Methods (11 papers) and Topic Modeling (11 papers). The work is most often cited by research in Computer Science Applications (263 citations), Developmental and Educational Psychology (287 citations), Artificial Intelligence (396 citations), Human-Computer Interaction (33 citations) and Computer Vision and Pattern Recognition (86 citations). Wookhee Min has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Bradford Mott, James C. Lester, Jonathan Rowe, Eric Wiebe, Kristy Elizabeth Boyer, Andy Smith, Andrew Emerson, Kyungjin Park, Eun Young Ha and Pengcheng Wang. Their work appears in journals such as Lecture notes in computer science, International Journal of Artificial Intelligence in Education, IEEE Transactions on Learning Technologies, British Journal of Educational Technology and Journal of Research on Technology in Education.

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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