Kun Yu

534 citations
26 papers · 294 · h-index 10

Impact in

Papers in

Kun Yu

24 papers receiving 288 citations

Peers

Kun Yu
Comparison fields: 5 of 42
  • Organizational Behavior and Human Resource Management 178
  • Human Factors and Ergonomics 14
  • Social Psychology 96
  • Demography 55
  • Safety Research 33
Replace Phillip S. Thompson with:
Phillip S. Thompson United States
Gary Kerridge United Kingdom
Dries Schreuder South Africa
Lior Oren Israel
Su-Ying Pan Macao
Zen Goh Australia
Shengming Liu China
Gabriel Fischmann Romania
Isabelle Huart France
Changguo Mao China
Kun Yu relative to Phillip S. Thompson United States Phillip S. Thompson's profile →
Citations per field
00.5×
Phillip S. Thompson · 1×
Citations per year

Countries citing papers authored by Kun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Kun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun Yu Line = papers co-authored together Kun Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201448
2 201946
3 201927
4 201825
5 201924
6 202321
7 201819
8 201915
9 201912
10 201610
11 20228
12 20226
13 20236
14 20176
15 20215
16 20224
17 20173
18 20222
19 20192
20 20171

About Kun Yu

Kun Yu is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology, Sociology and Political Science, Clinical Psychology and Applied Psychology, having authored 26 papers that have together received 294 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (18 papers), Work-Family Balance Challenges (7 papers), Psychological Well-being and Life Satisfaction (4 papers), Behavioral Health and Interventions (4 papers), Workaholism, burnout, and well-being (3 papers), Perfectionism, Procrastination, Anxiety Studies (3 papers), Motivation and Self-Concept in Sports (2 papers) and Emotional Labor in Professions (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (178 citations), Human Factors and Ergonomics (14 citations), Social Psychology (96 citations), Demography (55 citations) and Safety Research (33 citations). Kun Yu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoyan Liu, Zhen Wang, Xiaodan Zhang, Chang Liu, Yuhui Li, Weipeng Lin, Lei Wang, Haifeng Wang, Jingjing Ma and Wenqi Wei. Their work appears in journals such as Frontiers in Psychology, Career Development International, Personality and Individual Differences, Journal of Vocational Behavior and Cyberpsychology Behavior and Social Networking.

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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