Wen-Hung Wu

25 total papers · 546 total citations
21 papers, 473 citations indexed

About

Wen-Hung Wu is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Wen-Hung Wu has authored 21 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Industrial and Manufacturing Engineering, 14 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Wen-Hung Wu's work include Scheduling and Optimization Algorithms (20 papers), Optimization and Search Problems (14 papers) and Advanced Manufacturing and Logistics Optimization (13 papers). Wen-Hung Wu is often cited by papers focused on Scheduling and Optimization Algorithms (20 papers), Optimization and Search Problems (14 papers) and Advanced Manufacturing and Logistics Optimization (13 papers). Wen-Hung Wu collaborates with scholars based in Taiwan, China and Hong Kong. Wen-Hung Wu's co-authors include Chin‐Chia Wu, Yunqiang Yin, T.C.E. Cheng, Wen-Hsiang Wu, Peng‐Hsiang Hsu, Shuenn‐Ren Cheng, Jianyou Xu, Chou-Jung Hsu, Win-Chin Lin and Hung-Ming Chen and has published in prestigious journals such as IEEE Access, Information Sciences and Journal of the Operational Research Society.

In The Last Decade

Wen-Hung Wu

21 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
Wen-Hung Wu 455 207 59 28 27 21 473
Peng‐Hsiang Hsu 444 1.0× 218 1.1× 35 0.6× 23 0.8× 20 0.7× 17 455
Jen-Shiang Chen 434 1.0× 73 0.4× 37 0.6× 29 1.0× 39 1.4× 19 457
Yu. N. Sotskov 375 0.8× 111 0.5× 27 0.5× 34 1.2× 44 1.6× 20 430
Yuan-Yuan Lu 399 0.9× 241 1.2× 14 0.2× 24 0.9× 21 0.8× 32 442
Graham McMahon 396 0.9× 176 0.9× 25 0.4× 17 0.6× 17 0.6× 21 531
André Scholz 363 0.8× 62 0.3× 40 0.7× 23 0.8× 24 0.9× 20 425
Hichem Kamoun 461 1.0× 119 0.6× 33 0.6× 10 0.4× 15 0.6× 28 533
Diptesh Ghosh 421 0.9× 89 0.4× 59 1.0× 8 0.3× 34 1.3× 29 520
Hiroshi Kise 368 0.8× 159 0.8× 11 0.2× 30 1.1× 26 1.0× 33 414
Xingye Dong 384 0.8× 49 0.2× 82 1.4× 12 0.4× 28 1.0× 16 415

Countries citing papers authored by Wen-Hung Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Hung Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Hung Wu

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