Joy Yeonjoo Lee

565 total citations
9 papers, 243 citations indexed

About

Joy Yeonjoo Lee is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Surgery. According to data from OpenAlex, Joy Yeonjoo Lee has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Experimental and Cognitive Psychology and 3 papers in Surgery. Recurrent topics in Joy Yeonjoo Lee's work include Visual and Cognitive Learning Processes (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Simulation-Based Education in Healthcare (3 papers). Joy Yeonjoo Lee is often cited by papers focused on Visual and Cognitive Learning Processes (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers) and Simulation-Based Education in Healthcare (3 papers). Joy Yeonjoo Lee collaborates with scholars based in Netherlands, United States and Denmark. Joy Yeonjoo Lee's co-authors include Jeroen J. G. van Merriënboer, Paul Ayres, Fred Paas, Jeroen Donkers, Halszka Jarodzka, Adam Szulewski, Nynke de Jong, John Q. Young, Betty Tärning and Magnus Haake and has published in prestigious journals such as PLoS ONE, Computers in Human Behavior and Frontiers in Psychology.

In The Last Decade

Joy Yeonjoo Lee

8 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Yeonjoo Lee Netherlands 6 87 67 55 47 41 9 243
David Rojas Canada 12 66 0.8× 86 1.3× 53 1.0× 74 1.6× 24 0.6× 52 383
Patrick Albus Germany 7 114 1.3× 83 1.2× 36 0.7× 190 4.0× 57 1.4× 10 350
Sebastian Oberdörfer Germany 12 29 0.3× 96 1.4× 46 0.8× 225 4.8× 42 1.0× 43 366
Anders Aaby Denmark 5 50 0.6× 54 0.8× 82 1.5× 177 3.8× 24 0.6× 6 316
Chris Ferguson United States 9 24 0.3× 58 0.9× 36 0.7× 84 1.8× 23 0.6× 16 293
Petar Jerčić Sweden 7 77 0.9× 29 0.4× 63 1.1× 39 0.8× 15 0.4× 11 247
Gabriele Cierniak Germany 4 267 3.1× 187 2.8× 31 0.6× 60 1.3× 98 2.4× 6 392
Liang-Hui Wang China 7 35 0.4× 101 1.5× 18 0.3× 63 1.3× 80 2.0× 11 328
Aïmen Khacharem France 13 257 3.0× 214 3.2× 75 1.4× 54 1.1× 35 0.9× 37 420
Tiffany S. Jastrzembski United States 9 32 0.4× 26 0.4× 61 1.1× 64 1.4× 8 0.2× 27 284

Countries citing papers authored by Joy Yeonjoo Lee

Since Specialization
Citations

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

Fields of papers citing papers by Joy Yeonjoo Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy Yeonjoo Lee. 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 Joy Yeonjoo Lee. The network helps show where Joy Yeonjoo Lee may publish in the future.

Co-authorship network of co-authors of Joy Yeonjoo Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Yeonjoo Lee. A scholar is included among the top collaborators of Joy Yeonjoo Lee 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 Joy Yeonjoo Lee. Joy Yeonjoo Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Kjærgaard, Jesper, Ilse Hoffman, Todd P. Chang, et al.. (2025). Immersive virtual reality training: Addressing challenges and unlocking potentials. Medical Education. 59(11). 1222–1234. 1 indexed citations
3.
Lee, Joy Yeonjoo, Nynke de Jong, Jeroen Donkers, Halszka Jarodzka, & Jeroen J. G. van Merriënboer. (2023). Measuring Cognitive Load in Virtual Reality Training via Pupillometry. IEEE Transactions on Learning Technologies. 17. 704–710. 13 indexed citations
4.
Lee, Joy Yeonjoo, et al.. (2023). The Effects of Reflective Pauses on Performance in Simulation Training. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 19(2). 82–89. 4 indexed citations
5.
Ayres, Paul, Joy Yeonjoo Lee, Fred Paas, & Jeroen J. G. van Merriënboer. (2021). The Validity of Physiological Measures to Identify Differences in Intrinsic Cognitive Load. Frontiers in Psychology. 12. 702538–702538. 111 indexed citations
6.
Lee, Joy Yeonjoo, Adam Szulewski, John Q. Young, et al.. (2021). The medical pause: Importance, processes and training. Medical Education. 55(10). 1152–1160. 20 indexed citations
7.
Lee, Joy Yeonjoo, et al.. (2020). Different effects of pausing on cognitive load in a medical simulation game. Computers in Human Behavior. 110. 106385–106385. 33 indexed citations
8.
Tärning, Betty, et al.. (2020). Assessing the black box of feedback neglect in a digital educational game for elementary school. Journal of the Learning Sciences. 29(4-5). 511–549. 14 indexed citations
9.
Lee, Joy Yeonjoo, Jeroen Donkers, Halszka Jarodzka, & Jeroen J. G. van Merriënboer. (2019). How prior knowledge affects problem-solving performance in a medical simulation game: Using game-logs and eye-tracking. Computers in Human Behavior. 99. 268–277. 47 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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