Chih‐Ming Hsu

785 total citations
31 papers, 612 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 612 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), Advanced Manufacturing and Logistics Optimization (6 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Chih‐Ming Hsu is often cited by papers focused on Optimal Experimental Design Methods (7 papers), Advanced Manufacturing and Logistics Optimization (6 papers) and Advanced Multi-Objective Optimization Algorithms (6 papers). Chih‐Ming Hsu collaborates with scholars based in Taiwan and Israel. 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, Hung‐Chang Liao, H. H. Chang 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 572 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chih‐Ming Hsu Taiwan 13 352 170 74 58 56 31 612
M.A. Al‐Fawzan Saudi Arabia 12 450 1.3× 204 1.2× 19 0.3× 21 0.4× 75 1.3× 22 707
Alp Akçay Netherlands 11 189 0.5× 135 0.8× 25 0.3× 12 0.2× 22 0.4× 61 461
Yaohua Wu China 12 297 0.8× 34 0.2× 20 0.3× 20 0.3× 85 1.5× 124 600
Laura Cruz–Reyes Mexico 13 141 0.4× 220 1.3× 18 0.2× 17 0.3× 20 0.4× 76 587
Mustafa Göçken Türkiye 11 162 0.5× 246 1.4× 114 1.5× 76 1.3× 9 0.2× 26 521
Peter Lendermann Singapore 14 371 1.1× 295 1.7× 23 0.3× 9 0.2× 19 0.3× 54 680
S. S. Appadoo Canada 11 238 0.7× 147 0.9× 141 1.9× 33 0.6× 70 1.3× 40 545
Saeid Sadeghi Iran 8 156 0.4× 75 0.4× 32 0.4× 12 0.2× 31 0.6× 10 514
Prasun Kumar Nayak India 18 68 0.2× 283 1.7× 23 0.3× 40 0.7× 31 0.6× 44 842

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

20 of 20 papers shown
1.
2.
Lee, Yen‐Hsien, et al.. (2015). The Impact of Macroeconomic Factors on the Herding Behaviour of Investors. Asian Economic and Financial Review. 5(2). 295–304. 5 indexed citations
3.
Hsu, Chih‐Ming. (2014). A hybrid SVR-PSO portfolio optimization procedure for multi-period stock investments. WIT transactions on engineering sciences. 1. 217–226. 1 indexed citations
4.
Hsu, Chih‐Ming. (2014). Cost-based Procedure for Multi-response Parameter Design Problems Using GEP, Taguchi Quality Loss, and PSO: Case Study on Heat Sink Design. International Journal of Computational Intelligence Systems. 8(1). 158–174. 2 indexed citations
5.
6.
Hsu, Chih‐Ming. (2013). An integrated portfolio optimisation procedure based on data envelopment analysis, artificial bee colony algorithm and genetic programming. International Journal of Systems Science. 45(12). 2645–2664. 15 indexed citations
7.
8.
Hsu, Chih‐Ming. (2011). Applying genetic programming and ant colony optimisation to improve the geometric design of a reflector. International Journal of Systems Science. 43(5). 972–986. 5 indexed citations
9.
Hsu, Chih‐Ming. (2011). A hybrid procedure with feature selection for resolving stock/futures price forecasting problems. Neural Computing and Applications. 22(3-4). 651–671. 44 indexed citations
10.
Chang, H. H., Chih‐Ming Hsu, & Hung‐Chang Liao. (2006). Robust parameter design for signal-response systems by soft computing. The International Journal of Advanced Manufacturing Technology. 33(11-12). 1077–1086. 7 indexed citations
11.
Low, Chinyao, et al.. (2004). Benefits of lot splitting in job-shop scheduling. The International Journal of Advanced Manufacturing Technology. 24(9-10). 773–780. 41 indexed citations
12.
Hsu, Chih‐Ming. (2004). Improving the electroforming process in optical recordable media manufacturing via an integrated procedure. Engineering Optimization. 36(6). 659–675. 11 indexed citations
13.
Hsu, Chih‐Ming, Kai-Ying Chen, & Mu‐Chen Chen. (2004). Batching orders in warehouses by minimizing travel distance with genetic algorithms. Computers in Industry. 56(2). 169–178. 130 indexed citations
14.
Hsu, Chih‐Ming, et al.. (2004). Simultaneous optimisation of the broadband tap coupler optical performance based on neural networks and exponential desirability functions. The International Journal of Advanced Manufacturing Technology. 23(11-12). 20 indexed citations
15.
Hsu, Chih‐Ming, et al.. (2003). A novel approach for optimizing the optical performance of the broadband tap coupler. International Journal of Systems Science. 34(3). 215–226. 12 indexed citations
16.
Hsu, Chih‐Ming. (2003). An integrated approach to enhance the optical performance of couplers based on neural networks, desirability functions and tabu search. International Journal of Production Economics. 92(3). 241–254. 21 indexed citations
17.
Su, Chao‐Ton, et al.. (2002). Improving the Tap Coupler Optical Performance in the Fused Process by the Taguchi Method. Quality Engineering. 14(4). 553–561. 4 indexed citations
18.
Hsu, Chih‐Ming. (2001). SOLVING MULTI-RESPONSE PROBLEMS THROUGH NEURAL NETWORKS AND PRINCIPAL COMPONENT ANALYSIS. Journal of the Chinese Institute of Industrial Engineers. 18(5). 47–54. 12 indexed citations
19.
Su, Chao‐Ton & Chih‐Ming Hsu. (1998). Manufacturing cell formation using genetic algorithm vs. neural networks. Journal of the Chinese Institute of Industrial Engineers. 15(2). 127–139. 1 indexed citations
20.
Su, Chao‐Ton & Chih‐Ming Hsu. (1998). Multi-objective machine-part cell formation through parallel simulated annealing. International Journal of Production Research. 36(8). 2185–2207. 59 indexed citations

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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