Chih‐Ming Hsu

41 total papers · 782 total citations
31 papers, 609 citations indexed

About

Chih‐Ming Hsu is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Chih‐Ming Hsu has authored 31 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Management Science and Operations Research, 13 papers in Industrial and Manufacturing Engineering and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Chih‐Ming Hsu's work include Optimal Experimental Design Methods (7 papers), Stock Market Forecasting Methods (6 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Chih‐Ming Hsu is often cited by papers focused on Optimal Experimental Design Methods (7 papers), Stock Market Forecasting Methods (6 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). Chih‐Ming Hsu collaborates with scholars based in Taiwan. Chih‐Ming Hsu's co-authors include Chao‐Ton Su, Mu‐Chen Chen, Kai-Ying Chen, Chinyao Low, Fong‐Jung Yu, Tai‐Hsi Wu, Te-Sheng Li, H. H. Chang, Hung‐Chang Liao and Yen‐Hsien Lee and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Chih‐Ming Hsu

30 papers receiving 569 citations

Author Peers

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

Author Last Decade Papers Cites
Chih‐Ming Hsu 351 170 74 58 56 31 609
Amir Saman Kheirkhah 271 0.8× 144 0.8× 52 0.7× 29 0.5× 53 0.9× 37 681
Raúl Pino Díez 188 0.5× 215 1.3× 93 1.3× 47 0.8× 18 0.3× 46 682
Eduardo Conde 181 0.5× 260 1.5× 27 0.4× 30 0.5× 33 0.6× 38 605
Mahmoud H. Alrefaei 148 0.4× 238 1.4× 27 0.4× 17 0.3× 43 0.8× 37 698
Bernardo K. Pagnoncelli 81 0.2× 304 1.8× 114 1.5× 63 1.1× 23 0.4× 39 691
Si̇nan Gürel 405 1.2× 108 0.6× 27 0.4× 23 0.4× 24 0.4× 31 665
Linbo Liang 191 0.5× 234 1.4× 65 0.9× 74 1.3× 24 0.4× 28 670
Ming-Hua Lin 129 0.4× 103 0.6× 78 1.1× 50 0.9× 19 0.3× 48 685
Hamdy A. Taha 173 0.5× 105 0.6× 31 0.4× 21 0.4× 24 0.4× 40 498
Achim Koberstein 310 0.9× 103 0.6× 51 0.7× 13 0.2× 43 0.8× 29 582

Countries citing papers authored by Chih‐Ming Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Chih‐Ming Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih‐Ming Hsu. 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 Chih‐Ming Hsu. The network helps show where Chih‐Ming Hsu may publish in the future.

Co-authorship network of co-authors of Chih‐Ming Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih‐Ming Hsu. A scholar is included among the top collaborators of Chih‐Ming Hsu 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 Chih‐Ming Hsu. Chih‐Ming Hsu 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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