Wang Wen

53 papers receiving 565 citations

Peers

Wang Wen
Comparison fields: 5 of 116
  • Public Administration 38
  • Automotive Engineering 96
  • Organizational Behavior and Human Resource Management 74
  • Control and Systems Engineering 84
  • Leadership and Management 4
Replace Simon J. Batchelor with:
Simon J. Batchelor United Kingdom
Eric A. Morris United States
Fiona Rajé United Kingdom
Sonja, Elisabeth Forward Sweden
Lai Fong Chiu United Kingdom
Juan Pablo Bocarejo Colombia
Bernhard Schlag Germany
Ann Jopson United Kingdom
James Perrin Warren United Kingdom
Massoomeh Hedayati Marzbali Malaysia
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Citations per field
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Simon J. Batchelor · 1×
Citations per year

Countries citing papers authored by Wang Wen

Since Specialization
Citations

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

Fields of papers citing papers by Wang Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017129
2 201840
3 201834
4 202430
5 201722
6 201720
7 201819
8 202317
9 201817
10 201216
11 202216
12 202314
13 202113
14 201913
15 201513
16 202412
17 202312
18 201412
19 201712
20 202410

About Wang Wen

Wang Wen is a scholar working on Public Administration, Organizational Behavior and Human Resource Management, General Health Professions, Economics and Econometrics and Sociology and Political Science, having authored 61 papers that have together received 592 indexed citations. Recurring topics across this work include Employment and Welfare Studies (9 papers), Job Satisfaction and Organizational Behavior (6 papers), Labor Movements and Unions (6 papers), Metallurgy and Material Forming (3 papers), Aluminum Alloy Microstructure Properties (3 papers), China's Socioeconomic Reforms and Governance (3 papers), Migration, Ethnicity, and Economy (3 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Public Administration (38 citations), Automotive Engineering (96 citations), Organizational Behavior and Human Resource Management (74 citations), Control and Systems Engineering (84 citations) and Leadership and Management (4 citations). Wang Wen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Roger V. Seifert, Zongsheng Wu, Weiping Fu, Donald D. Lien, Jason Heyes, Zhirong Jerry Zhao, Yanhua Wang, Kuaishe Wang, Leiming Cai and Alfred M. Wu. Their work appears in journals such as Employee Relations, Journal of Business Ethics, The International Journal of Human Resource Management, Economic and Industrial Democracy and JOM.

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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