Da Young Ju

1.1k total citations
41 papers, 354 citations indexed

About

Da Young Ju is a scholar working on Social Psychology, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Da Young Ju has authored 41 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Social Psychology, 6 papers in Artificial Intelligence and 6 papers in Human-Computer Interaction. Recurrent topics in Da Young Ju's work include Human-Automation Interaction and Safety (6 papers), Social Robot Interaction and HRI (6 papers) and AI in Service Interactions (4 papers). Da Young Ju is often cited by papers focused on Human-Automation Interaction and Safety (6 papers), Social Robot Interaction and HRI (6 papers) and AI in Service Interactions (4 papers). Da Young Ju collaborates with scholars based in South Korea, United States and China. Da Young Ju's co-authors include Jung Min Lee, Angela Fan, Guillaume Wenzek, Francisco Guzmán, Naman Goyal, Peng‐Jen Chen, Marc’Aurelio Ranzato, Vishrav Chaudhary, Cynthia Gao and Jing Xu and has published in prestigious journals such as Sensors, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Da Young Ju

37 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da Young Ju South Korea 9 186 69 54 37 28 41 354
Marieke Peeters Netherlands 7 166 0.9× 232 3.4× 25 0.5× 29 0.8× 22 0.8× 19 460
Robert A. Sottilare United States 11 172 0.9× 69 1.0× 76 1.4× 36 1.0× 54 1.9× 58 386
Omar Shaikh United States 7 130 0.7× 31 0.4× 74 1.4× 19 0.5× 27 1.0× 19 358
Vinícius P. Gonçalves Brazil 11 56 0.3× 26 0.4× 67 1.2× 41 1.1× 33 1.2× 58 339
Lorenz Cuno Klopfenstein Italy 8 160 0.9× 43 0.6× 26 0.5× 42 1.1× 36 1.3× 27 375
Harald Holone Norway 9 73 0.4× 33 0.5× 23 0.4× 20 0.5× 59 2.1× 17 250
Leimin Tian Australia 14 182 1.0× 147 2.1× 42 0.8× 24 0.6× 31 1.1× 30 429
Shanee Honig Israel 7 148 0.8× 207 3.0× 38 0.7× 13 0.4× 21 0.8× 10 317
Robert Porzel Germany 11 221 1.2× 62 0.9× 27 0.5× 25 0.7× 48 1.7× 47 298
Christian Meurisch Germany 13 122 0.7× 32 0.5× 95 1.8× 54 1.5× 47 1.7× 38 420

Countries citing papers authored by Da Young Ju

Since Specialization
Citations

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

Fields of papers citing papers by Da Young Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da Young Ju. 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 Da Young Ju. The network helps show where Da Young Ju may publish in the future.

Co-authorship network of co-authors of Da Young Ju

This figure shows the co-authorship network connecting the top 25 collaborators of Da Young Ju. A scholar is included among the top collaborators of Da Young Ju 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 Da Young Ju. Da Young Ju 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.
Ju, Da Young, et al.. (2025). Physiological-signal-based prediction of occupant thermal comfort in a nonuniform transient vehicular cabin during winter. Building and Environment. 271. 112561–112561. 2 indexed citations
2.
3.
Kim, Jung Kyung, et al.. (2023). A Comprehensive Overview of Basic Research on Human Thermal Management in Future Mobility: Considerations, Challenges, and Methods. Sustainability. 15(9). 7335–7335. 5 indexed citations
4.
Ju, Da Young, et al.. (2023). Living Lab-Based Service Interaction Design for a Companion Robot for Seniors in South Korea. Biomimetics. 8(8). 609–609. 3 indexed citations
5.
Wang, Lin, Jia Chen, & Da Young Ju. (2021). Factors Contributing to Korean Older Adults’ Acceptance of Assistive Social Robots. Electronics. 10(18). 2204–2204. 4 indexed citations
6.
Ju, Da Young, et al.. (2021). Advanced Alarm Method Based on Driver’s State in Autonomous Vehicles. Electronics. 10(22). 2796–2796. 9 indexed citations
7.
Ju, Da Young, et al.. (2021). Design of Interior Space for Psychological Safety of Passengers according to In-Vehicle Activity of Fully Autonomous Vehicle. Korean Society for Emotion and Sensibility. 24(2). 13–24. 1 indexed citations
8.
Ju, Da Young, et al.. (2020). Age-Related Differences in Fixation Pattern on a Companion Robot. Sensors. 20(13). 3807–3807. 12 indexed citations
9.
Lee, Jung Min, et al.. (2020). Drivers’ User-interface Information Prioritization in Manual and Autonomous Vehicles. International Journal of Automotive Technology. 21(6). 1355–1367. 7 indexed citations
10.
Ju, Da Young, et al.. (2020). Differences in Interactions with a Conversational Agent. International Journal of Environmental Research and Public Health. 17(9). 3189–3189. 23 indexed citations
11.
Lee, Jung Min, Jongsoo Baek, & Da Young Ju. (2018). Anthropomorphic Design: Emotional Perception for Deformable Object. Frontiers in Psychology. 9. 1829–1829. 11 indexed citations
12.
Ju, Da Young, et al.. (2018). Impact of digital content on young children’s reading interest and concentration for books. Behaviour and Information Technology. 38(1). 1–8. 37 indexed citations
13.
Ju, Da Young, et al.. (2018). Interior Design of Fully Autonomous Vehicle for Emotional Experience: Focused on Consumer’s Consciousness toward In-Vehicle Activity. Korean Society for Emotion and Sensibility. 21(1). 17–34. 5 indexed citations
14.
Lee, Jung Min & Da Young Ju. (2018). Classification of Human‐Vehicle Interaction: User Perspectives on Design. Social Behavior and Personality An International Journal. 46(7). 1057–1070. 6 indexed citations
15.
Ju, Da Young, et al.. (2018). A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration. Sensors. 18(2). 544–544. 11 indexed citations
16.
Tian, Guo‐Liang, Da Young Ju, Kam Chuen Yuen, & Chi Zhang. (2016). New expectation–maximization-type algorithms via stochastic representation for the analysis of truncated normal data with applications in biomedicine. Statistical Methods in Medical Research. 27(8). 2459–2477. 4 indexed citations
17.
Ju, Da Young, et al.. (2016). Comparative Analysis of Requirements for Information Presentation on In-vehicle Display Systems by Driving Career. Transactions of Korean Society of Automotive Engineers. 24(6). 668–676. 1 indexed citations
18.
Lee, Sang Ho & Da Young Ju. (2013). An analysis of vulnerability and the method to secure on Android SNS applications from alteration of the code segments. Journal of the Korea Institute of Information Security and Cryptology. 23(2). 213–221. 1 indexed citations
19.
Lee, Jaeyeon & Da Young Ju. (2013). Defying Gravity: A Novel Method of Converting Screen Orientation. International Journal of Smart Home. 7(5). 83–90. 2 indexed citations
20.
Lee, Sang-Ho, et al.. (2013). Autonomous Vehicle Simulation Project. International Journal of Software Engineering and Its Applications. 7(5). 393–402. 6 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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