Kuo‐Shong Wang

25 total papers · 539 total citations
20 papers, 406 citations indexed

About

Kuo‐Shong Wang is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Mechanics of Materials. According to data from OpenAlex, Kuo‐Shong Wang has authored 20 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics, Probability and Uncertainty, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Mechanics of Materials. Recurrent topics in Kuo‐Shong Wang's work include Manufacturing Process and Optimization (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Reliability and Maintenance Optimization (4 papers). Kuo‐Shong Wang is often cited by papers focused on Manufacturing Process and Optimization (5 papers), Probabilistic and Robust Engineering Design (5 papers) and Reliability and Maintenance Optimization (4 papers). Kuo‐Shong Wang collaborates with scholars based in Taiwan and China. Kuo‐Shong Wang's co-authors include Yuo-Tern Tsai, Ship-Peng Lo, Hung‐Yuan Chung, Chung-Ling Chen and Kuan-Hong Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Kuo‐Shong Wang

18 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Kuo‐Shong Wang 243 108 100 83 72 20 406
Yuo-Tern Tsai 246 1.0× 108 1.0× 99 1.0× 77 0.9× 83 1.2× 27 461
Matthieu C. van der Heijden 232 1.0× 77 0.7× 99 1.0× 105 1.3× 32 0.4× 8 456
Lawrence Mann 215 0.9× 57 0.5× 23 0.2× 110 1.3× 32 0.4× 15 493
Jeffrey A. Jones 162 0.7× 61 0.6× 32 0.3× 36 0.4× 18 0.3× 24 469
Kamran S. Moghaddam 191 0.8× 58 0.5× 55 0.6× 90 1.1× 22 0.3× 17 494
Surajit Pal 112 0.5× 165 1.5× 38 0.4× 46 0.6× 14 0.2× 37 377
Bhupesh Kumar Lad 155 0.6× 63 0.6× 19 0.2× 182 2.2× 25 0.3× 35 475
Xiao Han 176 0.7× 76 0.7× 23 0.2× 62 0.7× 10 0.1× 26 406
Luis Alberto Rodríguez‐Picón 180 0.7× 160 1.5× 32 0.3× 56 0.7× 15 0.2× 47 466
Rajiv Nandan 138 0.6× 66 0.6× 55 0.6× 28 0.3× 8 0.1× 43 376

Countries citing papers authored by Kuo‐Shong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kuo‐Shong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Shong Wang. 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 Kuo‐Shong Wang. The network helps show where Kuo‐Shong Wang may publish in the future.

Co-authorship network of co-authors of Kuo‐Shong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Shong Wang. A scholar is included among the top collaborators of Kuo‐Shong Wang 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 Kuo‐Shong Wang. Kuo‐Shong Wang 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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