Tung‐Ju Wu

78 total papers · 1.6k total citations
61 papers, 1.1k citations indexed

About

Tung‐Ju Wu is a scholar working on Organizational Behavior and Human Resource Management, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Tung‐Ju Wu has authored 61 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Organizational Behavior and Human Resource Management, 17 papers in Sociology and Political Science and 16 papers in Social Psychology. Recurrent topics in Tung‐Ju Wu's work include Job Satisfaction and Organizational Behavior (32 papers), Cyberloafing and Workplace Behavior (12 papers) and Employment and Welfare Studies (6 papers). Tung‐Ju Wu is often cited by papers focused on Job Satisfaction and Organizational Behavior (32 papers), Cyberloafing and Workplace Behavior (12 papers) and Employment and Welfare Studies (6 papers). Tung‐Ju Wu collaborates with scholars based in China, Taiwan and United States. Tung‐Ju Wu's co-authors include Kuo‐Shu Yuan, Jia‐Min Li, Hsien‐Tang Tsai, David C. Yen, Yenchun Jim Wu, Shang‐Pao Yeh, Yibin Li, Lianyi Wang, Ruoxi Zhang and Ting Xu and has published in prestigious journals such as International Journal of Hydrogen Energy, International Journal of Environmental Research and Public Health and Frontiers in Psychology.

In The Last Decade

Tung‐Ju Wu

58 papers receiving 1.0k citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Tung‐Ju Wu 403 275 247 162 159 61 1.1k
Usman Ghani 340 0.8× 287 1.0× 155 0.6× 147 0.9× 134 0.8× 73 1.1k
Muhammad Imran Malik 286 0.7× 300 1.1× 178 0.7× 229 1.4× 127 0.8× 59 1.0k
Muhammad Ali 487 1.2× 274 1.0× 149 0.6× 140 0.9× 134 0.8× 51 1.2k
Faridahwati Mohd Shamsudin 575 1.4× 343 1.2× 238 1.0× 136 0.8× 195 1.2× 119 1.4k
Yasir Mansoor Kundi 602 1.5× 202 0.7× 251 1.0× 231 1.4× 126 0.8× 51 969
Yılmaz Akgündüz 735 1.8× 289 1.1× 244 1.0× 170 1.0× 192 1.2× 58 1.1k
Sut I Wong 376 0.9× 332 1.2× 175 0.7× 160 1.0× 154 1.0× 34 1.0k
Jianhong Ma 407 1.0× 232 0.8× 193 0.8× 166 1.0× 161 1.0× 45 970
Jian Peng 540 1.3× 191 0.7× 267 1.1× 180 1.1× 178 1.1× 58 1.1k
Muhammad Kashif Imran 380 0.9× 220 0.8× 227 0.9× 107 0.7× 78 0.5× 72 1.1k

Countries citing papers authored by Tung‐Ju Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tung‐Ju Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tung‐Ju Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Tung‐Ju Wu. A scholar is included among the top collaborators of Tung‐Ju 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 Tung‐Ju Wu. Tung‐Ju 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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