Soojin Jun

475 total citations
45 papers, 276 citations indexed

About

Soojin Jun is a scholar working on Information Systems, Social Psychology and Computer Networks and Communications. According to data from OpenAlex, Soojin Jun has authored 45 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 11 papers in Social Psychology and 9 papers in Computer Networks and Communications. Recurrent topics in Soojin Jun's work include Education and Learning Interventions (15 papers), Educational Systems and Policies (13 papers) and Educational Research and Pedagogy (9 papers). Soojin Jun is often cited by papers focused on Education and Learning Interventions (15 papers), Educational Systems and Policies (13 papers) and Educational Research and Pedagogy (9 papers). Soojin Jun collaborates with scholars based in South Korea, United States and Switzerland. Soojin Jun's co-authors include Joonhwan Lee, Scott E. Hudson, Jodi Forlizzi, Hyunmin Kang, Dong-Hoon Shin, Seokwoo Song, Jinwoo Kim, Jisoo Park, Sangmi Kim and Chiwon Lee and has published in prestigious journals such as Computers in Human Behavior, Human-Computer Interaction and Behaviour and Information Technology.

In The Last Decade

Soojin Jun

29 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Soojin Jun South Korea	9	64	58	55	44	42	45	276
Peter Worthy Australia	9	44 0.7×	52 0.9×	35 0.6×	75 1.7×	30 0.7×	43	334
Adamantios Koumpis Greece	9	26 0.4×	75 1.3×	47 0.9×	32 0.7×	52 1.2×	67	296
Weijane Lin Taiwan	12	52 0.8×	92 1.6×	69 1.3×	31 0.7×	57 1.4×	38	405
Effie Law United Kingdom	9	51 0.8×	48 0.8×	56 1.0×	153 3.5×	71 1.7×	19	427
David K. Farkas United States	12	28 0.4×	55 0.9×	35 0.6×	75 1.7×	61 1.5×	36	339
Julia Cambre United States	11	88 1.4×	174 3.0×	83 1.5×	63 1.4×	31 0.7×	13	354
Fang-Wu Tung Taiwan	6	19 0.3×	52 0.9×	76 1.4×	29 0.7×	32 0.8×	13	246
Isabel Pedersen Canada	10	19 0.3×	65 1.1×	47 0.9×	105 2.4×	51 1.2×	53	347
Jeferson Arango‐López Colombia	10	31 0.5×	21 0.4×	17 0.3×	44 1.0×	37 0.9×	38	247
Elizabeth Furtado Brazil	11	40 0.6×	84 1.4×	55 1.0×	129 2.9×	134 3.2×	83	443

Countries citing papers authored by Soojin Jun

Since Specialization

Citations

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

Fields of papers citing papers by Soojin Jun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Soojin Jun

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

All Works

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20 of 20 papers shown

Oh, Changhoon, et al.. (2024). How Can I Trust AI? : Extending a UXer-AI Collaboration Process in the Early Stages. 1–7. 4 indexed citations

Jun, Soojin. (2024). Development and Effect analysis of a Program based on the Design Thinking 2P expansion model for Artificial Intelligence Convergence Education. The Journal of Korean Association of Computer Education. 27(1). 85–95.

Jun, Soojin, et al.. (2024). Child Pedestrians’ Perception of External Car Display: Effects of Communication Style and Visualization Type on Trust and Perceived Safety. Archives of Design Research. 37(1). 7–25.

Jun, Soojin, et al.. (2023). Development and Effectiveness for Bioinformatics-Based Data Convergence Education. Journal of the Korean Association of Information Education. 27(6). 763–774.

Jun, Soojin, et al.. (2023). Ethical Awareness of UXers in the Loop. 1–6. 3 indexed citations

Jun, Soojin, et al.. (2023). Development and Effect Analysis of SW and AI Camp Programs using Educational Robots for Elementary School Students. Journal of the Korean Association of Information Education. 27(4). 411–423.

Jun, Soojin. (2021). Development of Artificial Intelligence Education Program based on Experiential Learning for Liberal Art Education. The Journal of Korean Association of Computer Education. 24(2). 63–73. 7 indexed citations

Kim, Han Sung, et al.. (2020). Development and Application of Education Program on Understanding Artificial Intelligence and Social Impact. The Journal of Korean Association of Computer Education. 23(2). 21–29. 5 indexed citations

Jun, Soojin, et al.. (2020). The Effect of Convergence Education based on Reading and Robot SW Education for Improving Computational Thinking. Journal of Industrial Convergence. 18(1). 53–58.

10.

Jun, Soojin, et al.. (2017). Design and Effect of Development-Oriented Model for Developing Computing Thinking in SW Education. Journal of the Korean Association of Information Education. 21(6). 619–627. 1 indexed citations

11.

Jun, Soojin. (2017). The Effect of Design-Oriented Model (NDIS) based on Computational Thinking in SW Education. The Journal of Korean Association of Computer Education. 20(2). 13–21. 3 indexed citations

12.

Jun, Soojin. (2017). Analysis of Research Trends and Learners' Preference for Subject Area of SW Education Content. The Journal of Korean Association of Computer Education. 20(1). 39–47. 1 indexed citations

13.

Jun, Soojin, et al.. (2017). Elementary Teacher Perceptions of Evaluation Methods about Suitability and Usefulness in Software Education. Journal of the Korean Association of Information Education. 21(3). 267–275. 1 indexed citations

14.

Jun, Soojin, et al.. (2016). Effect of design-based learning on improving computational thinking. Behaviour and Information Technology. 1–11. 50 indexed citations

15.

Han, DaHee, et al.. (2015). Study on Interactive Media Installation of Ecological Museum as Educational Exhibit Contents with Experimental Environment - Focused on the -. Design Convergence Study. 14(1). 147–164. 1 indexed citations

16.

Kim, Sangmi, et al.. (2015). Appropriate or Remix? The Effects of Social Recognition and Psychological Ownership on Intention to Share in Online Communities. Human-Computer Interaction. 31(2). 97–132. 21 indexed citations

17.

Jun, Soojin, et al.. (2015). A Study on the Usage of Mobile Music Application in Senior Group. Journal of Integrated Design Research. 14(4). 21–34. 3 indexed citations

18.

Jun, Soojin, et al.. (2014). Design Guidelines for Motion Infographics as Persuasive Communication. Journal of Basic Design & Art. 15(2). 253–265.

19.

Lee, Joonhwan & Soojin Jun. (2010). Design Guidelines and Recommendations for In-Vehicle Navigation Systems. Archives of Design Research. 23(3). 309–327. 5 indexed citations

20.

Jun, Soojin, Seungbum Kim, & Wongyu Lee. (2007). Online Pair-Programming for Learning Programming of Novices. 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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