Ue‐Pyng Wen

48 total papers · 1.4k total citations
41 papers, 1.0k citations indexed

About

Ue‐Pyng Wen is a scholar working on Computer Networks and Communications, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, Ue‐Pyng Wen has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 12 papers in Industrial and Manufacturing Engineering and 11 papers in Control and Systems Engineering. Recurrent topics in Ue‐Pyng Wen's work include Advanced Manufacturing and Logistics Optimization (11 papers), Optimization and Mathematical Programming (10 papers) and Optimization and Variational Analysis (8 papers). Ue‐Pyng Wen is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (11 papers), Optimization and Mathematical Programming (10 papers) and Optimization and Variational Analysis (8 papers). Ue‐Pyng Wen collaborates with scholars based in Taiwan and United States. Ue‐Pyng Wen's co-authors include Chi-Jen Lin, Hsu-Shih Shih, Yun‐Chu Chen, Shu‐Cherng Fang, James T. Lin, Gwo‐Hshiung Tzeng, E. Stanley Lee, Yi Chen and Wei‐Chih Wang and has published in prestigious journals such as European Journal of Operational Research, Journal of the Operational Research Society and Fuzzy Sets and Systems.

In The Last Decade

Ue‐Pyng Wen

39 papers receiving 976 citations

Author Peers

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

Author						Papers	Cites
Ue‐Pyng Wen	390	272	262	245	191	41	1.0k
Serpil Sayın	329 0.8×	271 1.0×	505 1.9×	308 1.3×	66 0.3×	38	1.1k
J. B. G. Frenk	158 0.4×	152 0.6×	198 0.8×	395 1.6×	73 0.4×	80	1.0k
Bala Shetty	130 0.3×	190 0.7×	159 0.6×	286 1.2×	72 0.4×	39	905
Cerry M. Klein	274 0.7×	472 1.7×	89 0.3×	330 1.3×	141 0.7×	43	1.1k
Ş. İlker Birbil	139 0.4×	188 0.7×	139 0.5×	306 1.2×	47 0.2×	67	919
Richard S. Barr	156 0.4×	404 1.5×	168 0.6×	291 1.2×	66 0.3×	23	1.2k
Gautam Appa	228 0.6×	465 1.7×	211 0.8×	117 0.5×	76 0.4×	43	1.0k
Richard E. Wendell	261 0.7×	255 0.9×	251 1.0×	166 0.7×	40 0.2×	39	958
Herminia I. Calvete	403 1.0×	114 0.4×	339 1.3×	340 1.4×	77 0.4×	43	980
H. Martin Weingartner	171 0.4×	243 0.9×	63 0.2×	267 1.1×	247 1.3×	25	1.1k

Countries citing papers authored by Ue‐Pyng Wen

Since Specialization

Citations

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

Fields of papers citing papers by Ue‐Pyng Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ue‐Pyng Wen. 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 Ue‐Pyng Wen. The network helps show where Ue‐Pyng Wen may publish in the future.

Co-authorship network of co-authors of Ue‐Pyng Wen

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