Seung Won Yoon

2.3k total citations
62 papers, 1.6k citations indexed

About

Seung Won Yoon is a scholar working on Organizational Behavior and Human Resource Management, Communication and Applied Psychology. According to data from OpenAlex, Seung Won Yoon has authored 62 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Organizational Behavior and Human Resource Management, 22 papers in Communication and 15 papers in Applied Psychology. Recurrent topics in Seung Won Yoon's work include Knowledge Management and Sharing (21 papers), Job Satisfaction and Organizational Behavior (18 papers) and Organizational Learning and Leadership (16 papers). Seung Won Yoon is often cited by papers focused on Knowledge Management and Sharing (21 papers), Job Satisfaction and Organizational Behavior (18 papers) and Organizational Learning and Leadership (16 papers). Seung Won Yoon collaborates with scholars based in United States, South Korea and China. Seung Won Yoon's co-authors include Ji Hoon Song, Doo Hun Lim, Baek‐Kyoo Joo, Seung‐hyun Han, Jong Gyu Park, Jung-Woo Kim, Scott D. Johnson, Jeong Sik Kim, Soo Jeoung Han and Shinhee Jeong and has published in prestigious journals such as Computers & Education, Journal of Knowledge Management and Educational Technology Research and Development.

In The Last Decade

Seung Won Yoon

56 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seung Won Yoon United States 18 712 380 334 287 249 62 1.6k
Ji Hoon Song United States 26 1.2k 1.8× 316 0.8× 315 0.9× 221 0.8× 467 1.9× 95 2.0k
Toby Egan United States 20 1.1k 1.6× 153 0.4× 483 1.4× 334 1.2× 284 1.1× 59 2.0k
Dirk Buyens Belgium 16 812 1.1× 201 0.5× 339 1.0× 165 0.6× 207 0.8× 37 1.4k
Christopher Chan Australia 22 638 0.9× 154 0.4× 321 1.0× 159 0.6× 331 1.3× 49 1.6k
Vanessa Urch Druskat United States 13 768 1.1× 272 0.7× 953 2.9× 187 0.7× 248 1.0× 26 1.8k
Jessica Li United States 23 482 0.7× 193 0.5× 170 0.5× 218 0.8× 151 0.6× 75 1.4k
D. Christopher Kayes United States 17 483 0.7× 427 1.1× 454 1.4× 513 1.8× 202 0.8× 38 1.7k
Zhongming Wang China 24 774 1.1× 403 1.1× 365 1.1× 133 0.5× 455 1.8× 99 1.8k
Dan N. Stone United States 22 270 0.4× 283 0.7× 329 1.0× 111 0.4× 204 0.8× 72 1.6k
Regina H. Mulder Germany 19 434 0.6× 149 0.4× 249 0.7× 304 1.1× 133 0.5× 44 1.1k

Countries citing papers authored by Seung Won Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Seung Won Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung Won Yoon. 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 Seung Won Yoon. The network helps show where Seung Won Yoon may publish in the future.

Co-authorship network of co-authors of Seung Won Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Seung Won Yoon. A scholar is included among the top collaborators of Seung Won Yoon 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 Seung Won Yoon. Seung Won Yoon 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.
Chai, Dae Seok, et al.. (2025). Generative Artificial Intelligence in Instructional System Design. Human Resource Development Review. 24(4). 388–417. 3 indexed citations
2.
Yoon, Myeongsun, et al.. (2025). Advancing HRD measurement: a comprehensive guide to IRT and GRM in an international context. Human Resource Development International. 29(1). 7–32.
3.
4.
Kwon, Kibum, et al.. (2024). Employee development and employee engagement: a review and integrated model. Career Development International. 29(2). 169–184. 7 indexed citations
5.
6.
Yoon, Seung Won, et al.. (2024). Plotting the Blank Space Among Leadership, Job Crafting, and Career Development: An Integrative Review and Future Agendas for HRD. Human Resource Development Review. 24(1). 70–92. 1 indexed citations
7.
Yoon, Seung Won, et al.. (2023). Workplace learning for the disadvantaged: Perspectives from adult education and human resource development. New Directions for Adult and Continuing Education. 2023(179). 91–104. 4 indexed citations
8.
Yoon, Seung Won, et al.. (2023). Increasing Retention of Underrepresented Students in STEM Fields at California Community Colleges: A Study of the STEM 2 Program. Journal of College Student Retention Research Theory & Practice. 26(4). 1147–1164. 2 indexed citations
9.
Oh, Jihye, Shinhee Jeong, Seung Won Yoon, & Daeyeon Cho. (2022). The link between HRD professionals’ social capital and career adaptability: a moderated mediation analysis of social network. European journal of training and development. 47(5/6). 456–472. 5 indexed citations
10.
Yoon, Seung Won. (2018). Innovative data analytic methods in human resource development: Recommendations for research design. Human Resource Development Quarterly. 29(4). 299–306. 10 indexed citations
11.
Yoon, Seung Won, et al.. (2016). Social Justice Alert: Future Innovators and Leaders Fall Behind in Academic Achievement.. 17(1). 129–141. 1 indexed citations
12.
Yoon, Seung Won, Doo Hun Lim, & Daeyeon Cho. (2015). Human resource development in South Korea. Human Resource Development International. 18(5). 441–445.
13.
Lim, Doo Hun, Seung Won Yoon, & Sunyoung Park. (2013). Integrating Learning Outcome Typologies for HRD: Review and Current Status. New Horizons in Adult Education and Human Resource Development. 25(2). 33–48. 3 indexed citations
14.
Song, Ji Hoon, et al.. (2013). A missing link: psychological ownership as a mediator between transformational leadership and organizational citizenship behaviour. Human Resource Development International. 16(5). 558–574. 43 indexed citations
15.
Park, Sunyoung, Yonjoo Cho, Seung Won Yoon, & Heeyoung Han. (2013). Comparing team learning approaches through the lens of activity theory. European journal of training and development. 37(9). 788–810. 8 indexed citations
16.
Yoon, Seung Won, Ji Hoon Song, Doo Hun Lim, & Baek‐Kyoo Joo. (2010). Structural determinants of team performance: the mutual influences of learning culture, creativity, and knowledge. Human Resource Development International. 13(3). 249–264. 67 indexed citations
17.
Yoon, Seung Won, et al.. (2008). Editorial-Special issue on improving team performance: Technologies and design. Performance Improvement Quarterly. 21(3). 3–5. 2 indexed citations
18.
Yoon, Seung Won & Doo Hun Lim. (2008). Team Learning Performance and Collaboration between Online and Blended Learning Delivery Groups..
19.
Lim, Doo Hun, et al.. (2007). Typology of Learning Outcomes in Cognitive Domain: What Is Said vs. What Is Measured. 3 indexed citations
20.
Yoon, Seung Won. (2006). Two Group Development Patterns of Virtual Learning Teams: Linear Progression and Adaptive Progression. The Quarterly Review of Distance Education. 7(3). 297–312. 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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