SinHui Chong

14 papers receiving 824 citations

SinHui Chong's Hit Papers

Supporting interdependent telework employees: A moderated-mediation model linking daily COVID-19 task setbacks to next-day work withdrawal. 2020 · 291 citations
2910+2+4Years since publication50100150200250

Peers

SinHui Chong
Comparison fields: 5 of 73
  • Organizational Behavior and Human Resource Management 450
  • Social Psychology 310
  • Applied Psychology 35
  • Safety Research 62
  • Demography 86
Replace Gökhan Karagonlar with:
Gökhan Karagonlar Türkiye
Yannick Griep Sweden
I.J. Hetty van Emmerik Netherlands
Crystal M. Harold United States
Kelly Z. Peng China
Andreas Wihler Germany
Dong Ju China
Brian C. Holtz United States
Gelaye Debebe United States
SinHui Chong relative to Gökhan Karagonlar Türkiye Gökhan Karagonlar's profile →
Citations per field
00.5×1.5×2.1×
Gökhan Karagonlar · 1×
Citations per year

Countries citing papers authored by SinHui Chong

Since Specialization
Citations

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

Fields of papers citing papers by SinHui Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside SinHui Chong, 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 SinHui Chong Line = papers co-authored together SinHui Chong links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Supporting interdependent telework employees: A moderated-mediation model linking daily COVID-19 task setbacks to next-day work withdrawal.
Hit paper breakdown →
2020291
2 2016171
3 201897
4 201957
5 201550
6 201445
7 201934
8 201931
9 201926
10 201714
11 201311
12 20179
13 20177
14 20232

About SinHui Chong

SinHui Chong is a scholar working on Organizational Behavior and Human Resource Management, Safety Research, Gender Studies, Sociology and Political Science and Clinical Psychology, having authored 14 papers that have together received 845 indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (9 papers), Gender Diversity and Inequality (3 papers), Social and Intergroup Psychology (3 papers), Career Development and Diversity (3 papers), Emotions and Moral Behavior (2 papers), Emotional Labor in Professions (2 papers), Employment and Welfare Studies (2 papers) and Higher Education and Employability (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (450 citations), Social Psychology (310 citations), Applied Psychology (35 citations), Safety Research (62 citations) and Demography (86 citations). SinHui Chong has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Chu-Hsiang Daisy Chang, John M. Schaubroeck, Yimo Shen, Frederick T. L. Leong, Russell Eric Johnson, Ann C. Peng, Yuhui Li, You Jin Kim, Jiajin Sophie Tong and Hun Whee Lee. Their work appears in journals such as Journal of Career Assessment, Applied Psychology, Journal of Applied Psychology, Organizational Behavior and Human Decision Processes and Personnel Psychology.

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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