Yiyo Kuo

2.6k total citations · 1 hit paper
37 papers, 2.0k citations indexed

About

Yiyo Kuo is a scholar working on Industrial and Manufacturing Engineering, Management Science and Operations Research and Automotive Engineering. According to data from OpenAlex, Yiyo Kuo has authored 37 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Industrial and Manufacturing Engineering, 7 papers in Management Science and Operations Research and 5 papers in Automotive Engineering. Recurrent topics in Yiyo Kuo's work include Advanced Manufacturing and Logistics Optimization (16 papers), Scheduling and Optimization Algorithms (11 papers) and Assembly Line Balancing Optimization (10 papers). Yiyo Kuo is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (16 papers), Scheduling and Optimization Algorithms (11 papers) and Assembly Line Balancing Optimization (10 papers). Yiyo Kuo collaborates with scholars based in Taiwan, Australia and South Korea. Yiyo Kuo's co-authors include Taho Yang, Guan‐Wei Huang, Chi-Chang Wang, Chiwoon Cho, Kuo-Ping Lin, Brett A. Peters, Kuo-Chen Hung, David Parker, Akira Masuda and Yen‐Po Chen and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Yiyo Kuo

35 papers receiving 1.9k citations

Hit Papers

The use of grey relational analysis in solving multiple a... 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiyo Kuo Taiwan 16 812 405 321 271 240 37 2.0k
Loon Ching Tang Singapore 32 596 0.7× 559 1.4× 165 0.5× 252 0.9× 189 0.8× 114 3.4k
Peter Schuur Netherlands 23 756 0.9× 152 0.4× 173 0.5× 330 1.2× 74 0.3× 79 1.8k
Francesco Lolli Italy 22 299 0.4× 463 1.1× 137 0.4× 180 0.7× 169 0.7× 90 1.6k
Liesje De Boeck Belgium 18 596 0.7× 522 1.3× 92 0.3× 293 1.1× 41 0.2× 41 1.8k
Zhaoxia Guo China 26 767 0.9× 227 0.6× 174 0.5× 185 0.7× 33 0.1× 88 1.9k
Guangdong Tian China 22 501 0.6× 112 0.3× 126 0.4× 166 0.6× 180 0.8× 55 1.5k
Sandra D. Ekşioğlu United States 26 420 0.5× 233 0.6× 80 0.2× 195 0.7× 98 0.4× 71 2.3k
Kailash C. Kapur United States 23 767 0.9× 725 1.8× 185 0.6× 107 0.4× 684 2.9× 81 3.6k
Allan Larsen Denmark 32 1.2k 1.4× 132 0.3× 816 2.5× 355 1.3× 173 0.7× 82 3.9k
Osman Kulak Türkiye 17 770 0.9× 729 1.8× 78 0.2× 220 0.8× 168 0.7× 26 1.8k

Countries citing papers authored by Yiyo Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Yiyo Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiyo Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Yiyo Kuo. A scholar is included among the top collaborators of Yiyo Kuo 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 Yiyo Kuo. Yiyo Kuo 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
2.
Fang, Su‐Ying, Yiyo Kuo, & Pin‐Wen Lin. (2025). Breast cancer risk assessment evaluation of screening tools for genetics referral for women in Taiwan. Journal of Genetic Counseling. 34(3). e70010–e70010.
3.
Kuo, Yiyo, Ssu‐Han Chen, Taho Yang, & Wei-Chen Hsu. (2023). Optimizing a U-Shaped Conveyor Assembly Line Balancing Problem Considering Walking Times between Assembly Tasks. Applied Sciences. 13(6). 3702–3702. 1 indexed citations
4.
Kuo, Yiyo, et al.. (2022). Optimizing U-Shaped Production Line Balancing Problem with Exchangeable Task Locations and Walking Times. Applied Sciences. 12(7). 3375–3375. 4 indexed citations
5.
Chen, Ssu‐Han, et al.. (2020). Using Mahalanobis distance and decision tree to analyze abnormal patterns of behavior in a maintenance outsourcing process-a case study. Journal of Quality in Maintenance Engineering. 27(2). 253–263. 1 indexed citations
6.
Kuo, Yiyo, et al.. (2017). Single machine scheduling with sequence-dependent setup times and delayed precedence constraints. Operational Research. 20(2). 927–942. 8 indexed citations
7.
Yang, Taho, et al.. (2014). Lean production system design for fishing net manufacturing using lean principles and simulation optimization. Journal of Manufacturing Systems. 34. 66–73. 74 indexed citations
8.
Kuo, Yiyo, et al.. (2013). Bus route design with limited travel time. Transport. 28(4). 368–373. 4 indexed citations
10.
Kuo, Yiyo, et al.. (2011). Optimization of Circular-Type Routes for a Shuttle Bus Service. Transportation Research Board 90th Annual MeetingTransportation Research Board. 1 indexed citations
11.
Lin, Kuo-Ping, et al.. (2011). Developing a Tω (the weakest t-norm) fuzzy GERT for evaluating uncertain process reliability in semiconductor manufacturing. Applied Soft Computing. 11(8). 5165–5180. 26 indexed citations
12.
Kuo, Yiyo & Kuo-Ping Lin. (2010). Using neural network and decision tree for machine reliability prediction. The International Journal of Advanced Manufacturing Technology. 50(9-12). 1243–1251. 18 indexed citations
13.
Kuo, Yiyo, et al.. (2008). The use of a grey-based Taguchi method for optimizing multi-response simulation problems. Engineering Optimization. 40(6). 517–528. 188 indexed citations
14.
Kuo, Yiyo, et al.. (2008). Coseismic ground displacements from sub-pixel correlation for the 2008 Wenchuan Earthquake, Sichuan, China. AGU Fall Meeting Abstracts. 2008. 2 indexed citations
15.
Kuo, Yiyo, et al.. (2007). Application of residual correction method in calculating upper and lower approximate solutions of fifth-order boundary-value problems. Applied Mathematics and Computation. 199(2). 677–690. 4 indexed citations
16.
Kuo, Yiyo, et al.. (2007). Simulation metamodel development using uniform design and neural networks for automated material handling systems in semiconductor wafer fabrication. Simulation Modelling Practice and Theory. 15(8). 1002–1015. 59 indexed citations
17.
Kuo, Yiyo & Taho Yang. (2007). Optimization of mixed-skill multi-line operator allocation problem. Computers & Industrial Engineering. 53(3). 386–393. 15 indexed citations
18.
Yang, Taho, Yiyo Kuo, & Chiwoon Cho. (2006). A genetic algorithms simulation approach for the multi-attribute combinatorial dispatching decision problem. European Journal of Operational Research. 176(3). 1859–1873. 54 indexed citations
19.
Kuo, Yiyo & Taho Yang. (2006). A case study on the operator allocation decision for TFT‐LCD inspection and packaging process. Journal of Manufacturing Technology Management. 17(3). 363–375. 15 indexed citations
20.
Yang, Taho, et al.. (2005). Solving a multiresponse simulation problem using a dual-response system and scatter search method. Simulation Modelling Practice and Theory. 13(4). 356–369. 11 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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