Pei‐Chuan Wu

933 total citations
8 papers, 669 citations indexed

About

Pei‐Chuan Wu is a scholar working on Organizational Behavior and Human Resource Management, Communication and Social Psychology. According to data from OpenAlex, Pei‐Chuan Wu has authored 8 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Organizational Behavior and Human Resource Management, 3 papers in Communication and 3 papers in Social Psychology. Recurrent topics in Pei‐Chuan Wu's work include Job Satisfaction and Organizational Behavior (4 papers), International Student and Expatriate Challenges (3 papers) and Cultural Differences and Values (2 papers). Pei‐Chuan Wu is often cited by papers focused on Job Satisfaction and Organizational Behavior (4 papers), International Student and Expatriate Challenges (3 papers) and Cultural Differences and Values (2 papers). Pei‐Chuan Wu collaborates with scholars based in Singapore, United States and United Kingdom. Pei‐Chuan Wu's co-authors include Sankalp Chaturvedi, Siah Hwee Ang, Paul Sparrow, Niels Noorderhaven, Joseph J. DiStefano, Martha L. Maznevski, Carolina Gómez, Shyh‐Jer Chen, Johngseok Bae and John Lawler and has published in prestigious journals such as Journal of Management, Journal of International Business Studies and Journal of Vocational Behavior.

In The Last Decade

Pei‐Chuan Wu

8 papers receiving 611 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pei‐Chuan Wu Singapore 6 367 263 222 145 117 8 669
Hong Ren United States 12 418 1.1× 325 1.2× 208 0.9× 224 1.5× 204 1.7× 20 823
Torsten M. Kühlmann Germany 10 216 0.6× 211 0.8× 120 0.5× 163 1.1× 109 0.9× 32 578
María Eugenia Sánchez Vidal Spain 15 362 1.0× 157 0.6× 142 0.6× 255 1.8× 161 1.4× 37 696
Marjaana Gunkel Italy 15 208 0.6× 176 0.7× 276 1.2× 175 1.2× 102 0.9× 33 702
Clint Relyea United States 6 517 1.4× 137 0.5× 167 0.8× 232 1.6× 149 1.3× 9 754
Carol Reade United States 13 349 1.0× 189 0.7× 86 0.4× 199 1.4× 172 1.5× 29 628
Mahfooz A. Ansari Canada 15 461 1.3× 109 0.4× 174 0.8× 170 1.2× 184 1.6× 38 768
Betty Jane Punnett Canada 14 249 0.7× 160 0.6× 104 0.5× 156 1.1× 88 0.8× 52 629
Inju Yang France 14 261 0.7× 120 0.5× 146 0.7× 188 1.3× 120 1.0× 34 605
Ping Ping Fu Hong Kong 8 347 0.9× 110 0.4× 223 1.0× 158 1.1× 125 1.1× 11 578

Countries citing papers authored by Pei‐Chuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Chuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Chuan Wu. 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 Pei‐Chuan Wu. The network helps show where Pei‐Chuan Wu may publish in the future.

Co-authorship network of co-authors of Pei‐Chuan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Chuan Wu. A scholar is included among the top collaborators of Pei‐Chuan Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei‐Chuan Wu. Pei‐Chuan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Lawler, John, et al.. (2013). Going Abroad: HR Policies, National IR Systems, and Union Activity in Foreign Subsidiaries of U.S. Multinationals. Industrial and Labor Relations Review. 66(5). 1149–1171. 1 indexed citations
2.
Wu, Pei‐Chuan & Siah Hwee Ang. (2011). The impact of expatriate supporting practices and cultural intelligence on cross-cultural adjustment and performance of expatriates in Singapore. The International Journal of Human Resource Management. 22(13). 2683–2702. 143 indexed citations
3.
Lawler, John, et al.. (2010). High-performance work systems in foreign subsidiaries of American multinationals: An institutional model. Journal of International Business Studies. 42(2). 202–220. 80 indexed citations
4.
Wu, Pei‐Chuan & Sankalp Chaturvedi. (2009). The Role of Procedural Justice and Power Distance in the Relationship Between High Performance Work Systems and Employee Attitudes: A Multilevel Perspective. Journal of Management. 35(5). 1228–1247. 159 indexed citations
5.
Wu, Pei‐Chuan, Maw‐Der Foo, & Daniel B. Turban. (2008). The role of personality in relationship closeness, developer assistance, and career success. Journal of Vocational Behavior. 73(3). 440–448. 43 indexed citations
6.
Lawler, John, et al.. (2008). High Performance Work System Practices in Foreign Subsidiaries of American Multinationals: A Multi-Country Study. Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign). 4 indexed citations
7.
Maznevski, Martha L., Carolina Gómez, Joseph J. DiStefano, Niels Noorderhaven, & Pei‐Chuan Wu. (2002). Cultural Dimensions at the Individual Level of Analysis. International Journal of Cross Cultural Management. 2(3). 275–295. 159 indexed citations
8.
Sparrow, Paul & Pei‐Chuan Wu. (1998). Does national culture really matter? Predicting HRM preferences of Taiwanese employees. Employee Relations. 20(1). 26–56. 80 indexed citations

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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