Keke Wu

22 total papers · 473 total citations
20 papers, 330 citations indexed

About

Keke Wu is a scholar working on Organizational Behavior and Human Resource Management, Social Psychology and Sociology and Political Science. According to data from OpenAlex, Keke Wu has authored 20 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organizational Behavior and Human Resource Management, 6 papers in Social Psychology and 6 papers in Sociology and Political Science. Recurrent topics in Keke Wu's work include Job Satisfaction and Organizational Behavior (9 papers), Corporate Finance and Governance (6 papers) and Financial Markets and Investment Strategies (6 papers). Keke Wu is often cited by papers focused on Job Satisfaction and Organizational Behavior (9 papers), Corporate Finance and Governance (6 papers) and Financial Markets and Investment Strategies (6 papers). Keke Wu collaborates with scholars based in United States, China and United Kingdom. Keke Wu's co-authors include James B. Avey, Erica C. Holley, Diane E. Johnson, Upasna A. Agarwal, Min Wu, Dayong Dong, Jianchun Fang, Lirong Long, Chenwei Li and Giray Gözgör and has published in prestigious journals such as Journal of Business Ethics, Journal of Banking & Finance and Journal of Knowledge Management.

In The Last Decade

Keke Wu

18 papers receiving 316 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Keke Wu 190 101 68 56 45 20 330
Nandan Prabhu 127 0.7× 80 0.8× 54 0.8× 26 0.5× 17 0.4× 38 331
Antonio Rodriguez‐Lopez 109 0.6× 87 0.9× 44 0.6× 90 1.6× 19 0.4× 15 350
Tzu‐Ting Lin 196 1.0× 76 0.8× 50 0.7× 90 1.6× 23 0.5× 12 316
Xiji Zhu 149 0.8× 74 0.7× 53 0.8× 73 1.3× 30 0.7× 20 321
Julie N.Y. Zhu 216 1.1× 118 1.2× 54 0.8× 67 1.2× 34 0.8× 17 353
A. L. Minkes 111 0.6× 69 0.7× 21 0.3× 46 0.8× 26 0.6× 28 366
Baiyun Gong 135 0.7× 98 1.0× 44 0.6× 61 1.1× 25 0.6× 19 265
Leila Canaan Messarra 110 0.6× 59 0.6× 44 0.6× 32 0.6× 34 0.8× 22 315
Shaheen Borna 82 0.4× 86 0.9× 26 0.4× 22 0.4× 11 0.2× 33 332
Pingshu Li 128 0.7× 40 0.4× 20 0.3× 62 1.1× 38 0.8× 16 294

Countries citing papers authored by Keke Wu

Since Specialization
Citations

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

Fields of papers citing papers by Keke Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keke Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Keke Wu. A scholar is included among the top collaborators of Keke 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 Keke Wu. Keke Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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