Greg G. Wang

1.4k citations
50 papers · 1.1k · h-index 19

Impact in

Papers in

Greg G. Wang

50 papers receiving 966 citations

Peers

Greg G. Wang
Comparison fields: 5 of 85
  • Applied Psychology 340
  • Organizational Behavior and Human Resource Management 456
  • Communication 138
  • Strategy and Management 194
  • Management of Technology and Innovation 75
Replace Alma McCarthy with:
Alma McCarthy Ireland
Noreen Heraty Ireland
Myungweon Choi South Korea
Khalil M. Dirani United States
Allan M. Mohrman United States
Seth R. Silver United States
Natalia Lorinkova United States
Ram N. Aditya United States
Atul Mitra United States
Sue R. Faerman United States
Greg G. Wang relative to Alma McCarthy Ireland Alma McCarthy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Greg G. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Greg G. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg G. Wang. 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 Greg G. Wang. The network helps show where Greg G. Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Greg G. Wang, 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 Greg G. Wang Line = papers co-authored together Greg G. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005130
2 201378
3 200276
4 201675
5 200671
6 200854
7 201446
8 200433
9 200832
10 201729
11 200529
12 200428
13 201224
14 200623
15 200623
16 201222
17 200919
18 200919
19 200418
20 202117

About Greg G. Wang

Greg G. Wang is a scholar working on Applied Psychology, Organizational Behavior and Human Resource Management, Communication, Management Science and Operations Research and Economics and Econometrics, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Human Resource Development and Performance Evaluation (30 papers), Job Satisfaction and Organizational Behavior (13 papers), Evaluation and Performance Assessment (9 papers), Knowledge Management and Sharing (5 papers), Occupational and Professional Licensing Regulation (5 papers), International Student and Expatriate Challenges (5 papers), Labor market dynamics and wage inequality (5 papers) and Management and Organizational Studies (5 papers). The work is most often cited by research in Applied Psychology (340 citations), Organizational Behavior and Human Resource Management (456 citations), Communication (138 citations), Strategy and Management (194 citations) and Management of Technology and Innovation (75 citations). Greg G. Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Qinxuan Gu, Judy Y. Sun, Wan Jiang, Richard A. Swanson, Jay W. Rojewski, Jia Wang, Wendy E. A. Ruona, Jia Wang, Lihong Wang and Ning Li. Their work appears in journals such as Human Resource Development Review, Human Resource Development International, Human Resource Development Quarterly, R and D Management and Journal of Engineering and Technology Management.

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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