Seung‐Wan Kang

2.3k total citations
59 papers, 1.5k citations indexed

About

Seung‐Wan Kang is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Demography. According to data from OpenAlex, Seung‐Wan Kang has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Organizational Behavior and Human Resource Management, 11 papers in Sociology and Political Science and 11 papers in Demography. Recurrent topics in Seung‐Wan Kang's work include Job Satisfaction and Organizational Behavior (40 papers), Workplace Spirituality and Leadership (9 papers) and Knowledge Management and Sharing (9 papers). Seung‐Wan Kang is often cited by papers focused on Job Satisfaction and Organizational Behavior (40 papers), Workplace Spirituality and Leadership (9 papers) and Knowledge Management and Sharing (9 papers). Seung‐Wan Kang collaborates with scholars based in South Korea, United States and China. Seung‐Wan Kang's co-authors include Suk Bong Choi, Thi Bich Hanh Tran, Kihwan Kim, Saif Ullah, Seung Yeon Son, Gukdo Byun, Soojin Lee, Ye Dai, Min Young Kim and Myoungsoon You and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Frontiers in Psychology and Sustainability.

In The Last Decade

Seung‐Wan Kang

57 papers receiving 1.5k 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‐Wan Kang South Korea 21 908 308 295 292 250 59 1.5k
Alison Legood United Kingdom 14 1.0k 1.1× 468 1.5× 331 1.1× 247 0.8× 142 0.6× 20 1.8k
Francesco Montani Italy 20 904 1.0× 422 1.4× 221 0.7× 228 0.8× 141 0.6× 58 1.5k
Jian Peng China 15 549 0.6× 270 0.9× 205 0.7× 181 0.6× 162 0.6× 58 1.1k
Robert Buch Norway 24 974 1.1× 495 1.6× 189 0.6× 181 0.6× 171 0.7× 65 1.6k
Shanna R. Daniels United States 10 880 1.0× 316 1.0× 214 0.7× 174 0.6× 140 0.6× 17 1.5k
Erica L. Anthony United States 5 806 0.9× 283 0.9× 212 0.7× 160 0.5× 137 0.5× 6 1.3k
Shaker Bani‐Melhem United Arab Emirates 21 984 1.1× 342 1.1× 266 0.9× 260 0.9× 107 0.4× 58 1.6k
Christina G. L. Nerstad Norway 15 928 1.0× 527 1.7× 205 0.7× 236 0.8× 561 2.2× 26 1.7k
Upasna A. Agarwal India 23 1.5k 1.6× 517 1.7× 262 0.9× 382 1.3× 204 0.8× 54 2.0k

Countries citing papers authored by Seung‐Wan Kang

Since Specialization
Citations

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

Fields of papers citing papers by Seung‐Wan Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seung‐Wan Kang. 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‐Wan Kang. The network helps show where Seung‐Wan Kang may publish in the future.

Co-authorship network of co-authors of Seung‐Wan Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Seung‐Wan Kang. A scholar is included among the top collaborators of Seung‐Wan Kang 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‐Wan Kang. Seung‐Wan Kang 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
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2.
Kang, Seung‐Wan, et al.. (2025). The Impact of Self-Sacrificial Leadership on Employee Creativity: A Moderated Mediation Model in the Post-Pandemic Chinese Service Sector. Behavioral Sciences. 15(3). 373–373. 1 indexed citations
3.
Kang, Seung‐Wan, et al.. (2024). The dark side of mobile work during non-work hours: moderated mediation model of presenteeism through conservation of resources lens. Frontiers in Public Health. 12. 1186327–1186327. 3 indexed citations
4.
Jeung, Wonho, et al.. (2024). Effects of perceived sleep quality on creative behavior via work engagement: the moderating role of gender. BMC Psychology. 12(1). 491–491. 4 indexed citations
5.
6.
Kang, Seung‐Wan, et al.. (2023). The influence of sleep on job satisfaction: examining a serial mediation model of psychological capital and burnout. Frontiers in Public Health. 11. 1149367–1149367. 5 indexed citations
7.
Kang, Seung‐Wan, et al.. (2023). Coaching leadership and creative performance: A serial mediation model of psychological empowerment and constructive voice behavior. Frontiers in Psychology. 14. 1077594–1077594. 16 indexed citations
8.
Kang, Seung‐Wan, et al.. (2022). Sleep-deprived and emotionally exhausted: depleted resources as inhibitors of creativity at work. Personnel Review. 52(5). 1437–1461. 15 indexed citations
9.
Choi, Suk Bong, et al.. (2022). What hinders team innovation performance? Three-way interaction of destructive leadership, intra-team conflict, and organizational diversity. Frontiers in Psychology. 13. 879412–879412. 3 indexed citations
10.
Kang, Seung‐Wan, et al.. (2022). Creativity in the South Korean Workplace: Procedural Justice, Abusive Supervision, and Competence. International Journal of Environmental Research and Public Health. 19(1). 500–500. 5 indexed citations
11.
Kang, Seung‐Wan, et al.. (2022). Servant Leadership and Creativity: A Study of the Sequential Mediating Roles of Psychological Safety and Employee Well-Being. Frontiers in Psychology. 12. 807070–807070. 38 indexed citations
12.
Lee, Seunghun, Sanghun Lee, Sung-Woo Kim, et al.. (2021). Estimation of Health-Related Physical Fitness (HRPF) Levels of the General Public Using Artificial Neural Network with the National Fitness Award (NFA) Datasets. International Journal of Environmental Research and Public Health. 18(19). 10391–10391. 4 indexed citations
13.
Kang, Seung‐Wan, et al.. (2021). The Effect of Perceived Supervisor–Subordinate Congruence in Honesty on Emotional Exhaustion: A Polynomial Regression Analysis. International Journal of Environmental Research and Public Health. 18(17). 9420–9420. 5 indexed citations
14.
Kang, Seung‐Wan, et al.. (2021). How to Mitigate the Negative Effect of Emotional Exhaustion among Healthcare Workers: The Role of Safety Climate and Compensation. International Journal of Environmental Research and Public Health. 18(12). 6641–6641. 10 indexed citations
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Barthélemy, Quentin, Louis Mayaud, Yann Renard, et al.. (2017). Online denoising of eye-blinks in electroencephalography. Neurophysiologie Clinique. 47(5-6). 371–391. 20 indexed citations
17.
Byun, Gukdo, Ye Dai, Soojin Lee, & Seung‐Wan Kang. (2017). Leader Trust, Competence, LMX, and Member Performance: A Moderated Mediation Framework. Psychological Reports. 120(6). 1137–1159. 36 indexed citations
18.
Son, Seung Yeon, et al.. (2017). The impact of close monitoring on creativity and knowledge sharing: The mediating role of leader‐member exchange. Creativity and Innovation Management. 26(3). 256–265. 45 indexed citations
19.
Kang, Seung‐Wan, et al.. (2016). Older and More Engaged: The Mediating Role of Age-Linked Resources on Work Engagement. Human Resource Management. 56(5). 731–746. 87 indexed citations
20.
Kim, Min Young, et al.. (2014). Nurses' Willingness to Report Near Misses: A Multilevel Analysis of Contributing Factors. Social Behavior and Personality An International Journal. 42(7). 1133–1146. 17 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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