Hsu-Shih Shih

3.7k total citations · 1 hit paper
41 papers, 2.8k citations indexed

About

Hsu-Shih Shih is a scholar working on Management Science and Operations Research, Strategy and Management and Control and Systems Engineering. According to data from OpenAlex, Hsu-Shih Shih has authored 41 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Management Science and Operations Research, 11 papers in Strategy and Management and 8 papers in Control and Systems Engineering. Recurrent topics in Hsu-Shih Shih's work include Multi-Criteria Decision Making (20 papers), Sustainable Supply Chain Management (9 papers) and Optimization and Mathematical Programming (7 papers). Hsu-Shih Shih is often cited by papers focused on Multi-Criteria Decision Making (20 papers), Sustainable Supply Chain Management (9 papers) and Optimization and Mathematical Programming (7 papers). Hsu-Shih Shih collaborates with scholars based in Taiwan, United States and Spain. Hsu-Shih Shih's co-authors include Huan‐Jyh Shyur, E. Stanley Lee, Young-Jou Lai, Ue‐Pyng Wen, Thomas L. Saaty, Kun‐Shan Wu, Liang‐Chih Huang, David L. Olson, E.S. Lee and Chih‐Hung Wang and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Information Sciences.

In The Last Decade

Hsu-Shih Shih

41 papers receiving 2.6k citations

Hit Papers

An extension of TOPSIS for group decision making 2006 2026 2012 2019 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hsu-Shih Shih Taiwan 20 1.3k 672 571 380 298 41 2.8k
Tien-Chin Wang Taiwan 21 1.8k 1.5× 492 0.7× 538 0.9× 304 0.8× 330 1.1× 71 3.0k
Başar Öztayşi Türkiye 28 2.1k 1.7× 655 1.0× 597 1.0× 220 0.6× 272 0.9× 115 3.4k
Majid Behzadian Iran 12 1.5k 1.2× 414 0.6× 474 0.8× 179 0.5× 182 0.6× 16 3.3k
Ahti Salo Finland 36 2.2k 1.7× 560 0.8× 531 0.9× 241 0.6× 343 1.2× 149 4.4k
Sezi Çevik Onar Türkiye 25 1.9k 1.5× 610 0.9× 500 0.9× 189 0.5× 173 0.6× 88 2.8k
Yanbing Ju China 35 1.9k 1.5× 608 0.9× 519 0.9× 417 1.1× 154 0.5× 127 3.2k
Jianxin You China 35 2.4k 1.9× 508 0.8× 1.0k 1.8× 417 1.1× 517 1.7× 109 4.5k
Young-Jou Lai United States 14 1.7k 1.3× 1.4k 2.0× 370 0.6× 500 1.3× 301 1.0× 23 3.2k
Willem K. Brauers Belgium 30 2.7k 2.1× 941 1.4× 711 1.2× 253 0.7× 242 0.8× 78 4.2k
L. Mikhailov United Kingdom 20 1.5k 1.2× 446 0.7× 319 0.6× 214 0.6× 221 0.7× 46 2.3k

Countries citing papers authored by Hsu-Shih Shih

Since Specialization
Citations

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

Fields of papers citing papers by Hsu-Shih Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsu-Shih Shih. 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 Hsu-Shih Shih. The network helps show where Hsu-Shih Shih may publish in the future.

Co-authorship network of co-authors of Hsu-Shih Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Hsu-Shih Shih. A scholar is included among the top collaborators of Hsu-Shih Shih 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 Hsu-Shih Shih. Hsu-Shih Shih 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.
Shyur, Huan‐Jyh & Hsu-Shih Shih. (2024). Resolving Rank Reversal in TOPSIS: A Comprehensive Analysis of Distance Metrics and Normalization Methods. Informatica. 837–858. 5 indexed citations
2.
Shih, Hsu-Shih, et al.. (2023). Investigating Risk-Constraint Nexus of Construction Projects in Caribbean Small Island Developing States. SAGE Open. 13(1). 1 indexed citations
3.
Kaliszewski, Ignacy, et al.. (2016). Market Collective Wisdom Discovery for Portfolio Investments. 27(2). 87–102. 1 indexed citations
4.
Shih, Hsu-Shih, et al.. (2016). A Generalized PROMETHEE III with Risk Preferences on Losses and Gains. 27(2). 117–127. 8 indexed citations
5.
Shih, Hsu-Shih, et al.. (2014). A Study of the Acceptance of Wearable Technology for Consumers -An Analytical Network Process Perspective. ISAHP proceedings. 15 indexed citations
6.
Shih, Hsu-Shih & Serena H. Chen. (2013). A Conceptual Design of a Mobile Healthcare Device – An Application of Three-Stage QFD with ANP and TRIZ. ISAHP proceedings. 9 indexed citations
7.
Shih, Hsu-Shih, et al.. (2012). A business strategy selection of green supply chain management via an analytic network process. Computers & Mathematics with Applications. 64(8). 2544–2557. 166 indexed citations
8.
Shih, Hsu-Shih, et al.. (2012). A forecasting decision on the sales volume of printers in Taiwan: An exploitation of the Analytic Network Process. Computers & Mathematics with Applications. 64(6). 1545–1556. 20 indexed citations
9.
Shih, Hsu-Shih, et al.. (2011). Determining a subsidy rate for Taiwan's recycling glass industry: an application of bi-level programming. Journal of the Operational Research Society. 63(1). 28–37. 9 indexed citations
10.
Huang, Liang‐Chih, et al.. (2010). Establishing talent management for company’s succession planning through analytic network process: Application to an MNC semiconductor company in Taiwan. Computers & Mathematics with Applications. 60(3). 528–540. 17 indexed citations
11.
Shih, Hsu-Shih, et al.. (2009). Using ANP for the Selection of Green Supply Chain Management Strategies. ISAHP proceedings. 10 indexed citations
12.
Wen, Ue‐Pyng, et al.. (2006). A hybrid neural network approach to bilevel programming problems. Applied Mathematics Letters. 20(8). 880–884. 71 indexed citations
13.
Shyur, Huan‐Jyh & Hsu-Shih Shih. (2006). A hybrid MCDM model for strategic vendor selection. Mathematical and Computer Modelling. 44(7-8). 749–761. 319 indexed citations
14.
Shih, Hsu-Shih, Huan‐Jyh Shyur, & E. Stanley Lee. (2006). An extension of TOPSIS for group decision making. Mathematical and Computer Modelling. 45(7-8). 801–813. 1090 indexed citations breakdown →
15.
Shih, Hsu-Shih, Liang‐Chih Huang, & Huan‐Jyh Shyur. (2005). Recruitment and selection processes through an effective GDSS. Computers & Mathematics with Applications. 50(10-12). 1543–1558. 38 indexed citations
16.
Shih, Hsu-Shih, et al.. (2004). A neural network approach to multiobjective and multilevel programming problems. Computers & Mathematics with Applications. 48(1-2). 95–108. 49 indexed citations
17.
Shih, Hsu-Shih, Chih‐Hung Wang, & E.S. Lee. (2004). A multiattribute GDSS for aiding problem-solving. Mathematical and Computer Modelling. 39(11-12). 1397–1412. 40 indexed citations
18.
Shih, Hsu-Shih. (2002). An interactive approach for integrated multilevel systems in a fuzzy environment. Mathematical and Computer Modelling. 36(4-5). 569–585. 13 indexed citations
19.
Shih, Hsu-Shih & E. Stanley Lee. (2000). Compensatory fuzzy multiple level decision making. Fuzzy Sets and Systems. 114(1). 71–87. 59 indexed citations
20.
Shih, Hsu-Shih, et al.. (1999). Fuzzy multi-level minimum cost flow problems. Fuzzy Sets and Systems. 107(2). 159–176. 27 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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