Hokyoung Ryu

2.2k total citations
102 papers, 1.4k citations indexed

About

Hokyoung Ryu is a scholar working on Developmental and Educational Psychology, Human-Computer Interaction and Cognitive Neuroscience. According to data from OpenAlex, Hokyoung Ryu has authored 102 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Developmental and Educational Psychology, 21 papers in Human-Computer Interaction and 19 papers in Cognitive Neuroscience. Recurrent topics in Hokyoung Ryu's work include Innovative Teaching and Learning Methods (11 papers), Usability and User Interface Design (10 papers) and Educational Games and Gamification (10 papers). Hokyoung Ryu is often cited by papers focused on Innovative Teaching and Learning Methods (11 papers), Usability and User Interface Design (10 papers) and Educational Games and Gamification (10 papers). Hokyoung Ryu collaborates with scholars based in South Korea, New Zealand and United Kingdom. Hokyoung Ryu's co-authors include David Parsons, Jieun Kim, Seong‐Ho Jang, Joon‐Ho Shin, Ahreum Lee, Kyoungwon Seo, Eunju Jeong, Norliza Katuk, Gyu Hyun Kwon and Hojin Choi and has published in prestigious journals such as PLoS ONE, Scientific Reports and Computers in Human Behavior.

In The Last Decade

Hokyoung Ryu

90 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hokyoung Ryu South Korea 18 370 282 261 210 177 102 1.4k
Abdullah Al Mahmud Australia 22 114 0.3× 147 0.5× 159 0.6× 240 1.1× 220 1.2× 129 2.0k
Hilary Johnson United Kingdom 29 356 1.0× 252 0.9× 342 1.3× 526 2.5× 94 0.5× 106 2.4k
Per Backlund Sweden 17 134 0.4× 639 2.3× 160 0.6× 261 1.2× 179 1.0× 72 1.4k
Omar Mubin Australia 24 183 0.5× 184 0.7× 158 0.6× 306 1.5× 296 1.7× 112 2.2k
Richard Lamb United States 22 175 0.5× 541 1.9× 457 1.8× 248 1.2× 185 1.0× 65 1.5k
Silvia Gabrielli Italy 21 140 0.4× 103 0.4× 109 0.4× 488 2.3× 74 0.4× 81 1.5k
Sri Kurniawan United States 25 161 0.4× 123 0.4× 137 0.5× 708 3.4× 83 0.5× 107 2.0k
Habib M. Fardoun Saudi Arabia 17 210 0.6× 79 0.3× 116 0.4× 95 0.5× 141 0.8× 100 1.1k
Yao‐Jen Chang Taiwan 24 134 0.4× 203 0.7× 137 0.5× 321 1.5× 30 0.2× 98 2.1k
Danaë Stanton Fraser United Kingdom 29 791 2.1× 579 2.1× 478 1.8× 1.2k 5.7× 272 1.5× 115 3.1k

Countries citing papers authored by Hokyoung Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Hokyoung Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hokyoung Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Hokyoung Ryu. A scholar is included among the top collaborators of Hokyoung Ryu 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 Hokyoung Ryu. Hokyoung Ryu 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.
Ryu, Hokyoung, et al.. (2025). Exploring the Integrated Application of Thinking Routines with Concept-Based Inquiry Learning Phases. Korean Association For Learner-Centered Curriculum And Instruction. 25(4). 925–949.
2.
5.
Lee, Kyuwon, et al.. (2024). Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor. Journal of NeuroEngineering and Rehabilitation. 21(1). 42–42. 8 indexed citations
8.
Choi, Hojin, Seung Hyun Kim, Jinseok Park, et al.. (2023). VR-EP-EEG-MRI digital biomarkers: Multi-modal machine learning model for detecting mild cognitive impairment. Journal of the Neurological Sciences. 455. 121381–121381. 1 indexed citations
9.
Park, Jinseok, et al.. (2023). Digital Marker for Early Screening of Mild Cognitive Impairment Through Hand and Eye Movement Analysis in Virtual Reality Using Machine Learning: First Validation Study. Journal of Medical Internet Research. 25. e48093–e48093. 24 indexed citations
10.
Kim, Seong‐Eun, Kyoungwon Seo, Hokyoung Ryu, et al.. (2023). Resting-state electroencephalographic characteristics related to mild cognitive impairments. Frontiers in Psychiatry. 14. 10 indexed citations
11.
12.
Ryu, Hokyoung & Kyoungwon Seo. (2021). The illusion of having a large virtual body biases action-specific perception in patients with mild cognitive impairment. Scientific Reports. 11(1). 24058–24058. 10 indexed citations
13.
Jeong, Eunju, et al.. (2018). High Oxygen Exchange to Music Indicates Auditory Distractibility in Acquired Brain Injury: An fNIRS Study with a Vector-Based Phase Analysis. Scientific Reports. 8(1). 16737–16737. 10 indexed citations
14.
Jeong, Eunju & Hokyoung Ryu. (2016). Melodic Contour Identification Reflects the Cognitive Threshold of Aging. Frontiers in Aging Neuroscience. 8. 134–134. 9 indexed citations
15.
Jeong, Eunju & Hokyoung Ryu. (2016). Nonverbal auditory working memory: Can music indicate the capacity?. Brain and Cognition. 105. 9–21. 9 indexed citations
16.
Lee, Ahreum, et al.. (2015). Fingerstroke time estimates for touchscreen-based mobile gaming interaction. Human Movement Science. 44. 211–224. 26 indexed citations
17.
Parsons, David, et al.. (2007). Software Development Methodologies, Agile Development and Usability Engineering. Journal of the Association for Information Systems. 11 indexed citations
18.
Ryu, Hokyoung & Katrina Cruz. (2005). LetterEase: Improving text entry on a handheld device via letter reassignment. 1–10. 12 indexed citations
19.
Dadgostar, Farhad, et al.. (2005). Making sense of student use of nonverbal cues for intelligent tutoring systems. 1–4. 6 indexed citations
20.
Ryu, Hokyoung & Andrew Monk. (2004). Analysing interaction problems with cyclic interaction theory: Low-level interaction walkthrough. 2. 304–330. 13 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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