Wen-Hsiang Wu

65 total papers · 1.0k total citations
49 papers, 807 citations indexed

About

Wen-Hsiang Wu is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Management Science and Operations Research. According to data from OpenAlex, Wen-Hsiang Wu has authored 49 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Industrial and Manufacturing Engineering, 16 papers in Computer Networks and Communications and 8 papers in Management Science and Operations Research. Recurrent topics in Wen-Hsiang Wu's work include Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (22 papers) and Optimization and Search Problems (16 papers). Wen-Hsiang Wu is often cited by papers focused on Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (22 papers) and Optimization and Search Problems (16 papers). Wen-Hsiang Wu collaborates with scholars based in Taiwan, China and Hong Kong. Wen-Hsiang Wu's co-authors include Chin‐Chia Wu, Yunqiang Yin, Shuenn‐Ren Cheng, T.C.E. Cheng, Wen-Hung Wu, Win-Chin Lin, Jianyou Xu, Yu‐Hsiang Lin, Yao-Chuan Tsai and Chin‐Tsai Lin and has published in prestigious journals such as Journal of Business Research, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Wen-Hsiang Wu

48 papers receiving 780 citations

Author Peers

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

Author						Papers	Cites
Wen-Hsiang Wu	583	290	90	53	51	49	807
Jun Li	146 0.3×	251 0.9×	147 1.6×	31 0.6×	93 1.8×	76	710
Christos Alexakos	244 0.4×	164 0.6×	106 1.2×	17 0.3×	39 0.8×	70	777
Anthony Karageorgos	151 0.3×	221 0.8×	225 2.5×	107 2.0×	64 1.3×	45	787
Fardin Ahmadizar	480 0.8×	83 0.3×	254 2.8×	57 1.1×	86 1.7×	47	871
Haihua Zhu	652 1.1×	84 0.3×	76 0.8×	33 0.6×	144 2.8×	56	958
Zalinda Othman	136 0.2×	269 0.9×	280 3.1×	74 1.4×	43 0.8×	58	935
Sara Montagna	225 0.4×	310 1.1×	197 2.2×	31 0.6×	18 0.4×	66	957
Yin Tong	191 0.3×	311 1.1×	155 1.7×	26 0.5×	75 1.5×	51	852
M. Mathirajan	530 0.9×	130 0.4×	38 0.4×	61 1.2×	112 2.2×	65	794
Xavier Tort‐Martorell	551 0.9×	88 0.3×	91 1.0×	133 2.5×	60 1.2×	50	921

Countries citing papers authored by Wen-Hsiang Wu

Since Specialization

Citations

This map shows the geographic impact of Wen-Hsiang 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-Hsiang 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-Hsiang Wu more than expected).

Fields of papers citing papers by Wen-Hsiang Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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