May Wong

535 citations
27 papers · 369 · h-index 9

Impact in

Papers in

May Wong

26 papers receiving 324 citations

Peers

May Wong
Comparison fields: 5 of 56
  • Organizational Behavior and Human Resource Management 201
  • Communication 105
  • Public Administration 19
  • Strategy and Management 66
  • Social Psychology 79
Replace Frank Bournois with:
Frank Bournois France
Danusia Malina United Kingdom
Amy Thurlow Canada
Shamika Almeida Australia
F. Robert Buchanan United States
Joyce Iun Hong Kong
Elena P. Antonacopoulou United Kingdom
Natalie Ferres Australia
Mary Bambacas Australia
Steven D. Papamarcos United States
May Wong relative to Frank Bournois France Frank Bournois's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by May Wong

Since Specialization
Citations

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

Fields of papers citing papers by May Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside May Wong, 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 May Wong Line = papers co-authored together May Wong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008129
2 200527
3 200127
4 202123
5 199819
6 200417
7 199616
8 199914
9 200114
10 20128
11
Organisational learning through international assignment in Japanese overseas companies
19998
12
Collective myopia as the blocking mechanism to organizational learning
20027
13 20097
14 20137
15 19976
16 19976
17 20056
18 19985
19 20234
20 19964

About May Wong

May Wong is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science, Communication, Public Administration and Social Psychology, having authored 27 papers that have together received 369 indexed citations. Recurring topics across this work include International Student and Expatriate Challenges (8 papers), Job Satisfaction and Organizational Behavior (6 papers), Migration, Ethnicity, and Economy (6 papers), Labor Movements and Unions (5 papers), Family Business Performance and Succession (4 papers), Management and Organizational Studies (4 papers), Service-Learning and Community Engagement (2 papers) and Media, Gender, and Advertising (2 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (201 citations), Communication (105 citations), Public Administration (19 citations), Strategy and Management (66 citations) and Social Psychology (79 citations). May Wong has collaborated with scholars based in Hong Kong, China and Macao. Frequent co-authors include Weiping Wu, Millissa F.Y. Cheung, Allan K. K. Chan, Chris Hendry, Frederick A. Kosinski, Chunhong Liu, Dean Tjosvold, Robin Stanley Snell and Randy K. Chiu. Their work appears in journals such as The International Journal of Human Resource Management, Organization Studies, Personnel Review, Asia Pacific Journal of Management and Journal of Business Ethics.

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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