Mitsuo Gen

23.5k total citations · 5 hit papers
400 papers, 16.3k citations indexed

About

Mitsuo Gen is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Mitsuo Gen has authored 400 papers receiving a total of 16.3k indexed citations (citations by other indexed papers that have themselves been cited), including 223 papers in Industrial and Manufacturing Engineering, 102 papers in Control and Systems Engineering and 98 papers in Artificial Intelligence. Recurrent topics in Mitsuo Gen's work include Scheduling and Optimization Algorithms (143 papers), Advanced Manufacturing and Logistics Optimization (111 papers) and Metaheuristic Optimization Algorithms Research (88 papers). Mitsuo Gen is often cited by papers focused on Scheduling and Optimization Algorithms (143 papers), Advanced Manufacturing and Logistics Optimization (111 papers) and Metaheuristic Optimization Algorithms Research (88 papers). Mitsuo Gen collaborates with scholars based in Japan, China and South Korea. Mitsuo Gen's co-authors include Runwei Cheng, Yasuhiro Tsujimura, YoungSu Yun, Jie Gao, Linyan Sun, Fulya Altıparmak, Kenichi Ida, Admi Syarif, Lin Lin and Gengui Zhou 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

Mitsuo Gen

379 papers receiving 15.3k citations

Hit Papers

Genetic Algorithms and En... 1996 2026 2006 2016 1996 1999 1996 2007 2008 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Mitsuo Gen 7.8k 3.1k 3.0k 2.3k 1.8k 400 16.3k
Pãnos M. Pardalos 4.4k 0.6× 2.0k 0.7× 2.7k 0.9× 1.3k 0.6× 2.7k 1.5× 516 15.0k
Reza Tavakkoli‐Moghaddam 8.7k 1.1× 2.8k 0.9× 1.5k 0.5× 3.0k 1.3× 808 0.5× 759 18.2k
George L. Nemhauser 9.5k 1.2× 3.1k 1.0× 2.5k 0.9× 3.5k 1.5× 3.8k 2.1× 199 22.7k
Andrew Kusiak 7.9k 1.0× 2.9k 1.0× 2.2k 0.7× 918 0.4× 849 0.5× 361 18.8k
Laurence A. Wolsey 7.1k 0.9× 2.5k 0.8× 2.3k 0.8× 2.2k 1.0× 3.6k 2.0× 156 17.7k
Weiming Shen 5.3k 0.7× 2.7k 0.9× 2.8k 1.0× 840 0.4× 625 0.4× 592 15.6k
Michel Gendreau 18.6k 2.4× 2.0k 0.7× 3.9k 1.3× 2.0k 0.9× 1.7k 1.0× 407 27.0k
Zhiwu Li 6.9k 0.9× 1.9k 0.6× 2.3k 0.8× 1.6k 0.7× 8.6k 4.9× 731 18.2k
Warren B. Powell 3.0k 0.4× 2.6k 0.9× 2.3k 0.8× 2.2k 1.0× 1.9k 1.1× 269 12.6k
Marshall L. Fisher 6.1k 0.8× 949 0.3× 1.5k 0.5× 2.6k 1.2× 1.3k 0.7× 102 18.1k

Countries citing papers authored by Mitsuo Gen

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuo Gen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuo Gen

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Gen. A scholar is included among the top collaborators of Mitsuo Gen 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 Mitsuo Gen. Mitsuo Gen 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
3.
Sun, Lu, et al.. (2024). Cooperative Knowledge-Distillation-Based Tiny DNN for UAV-Assisted Mobile-Edge Network. IEEE Internet of Things Journal. 11(18). 30204–30216. 5 indexed citations
4.
Zhang, Wenqiang, Chen Li, Mitsuo Gen, Weidong Yang, & Guohui Zhang. (2023). A multiobjective memetic algorithm with particle swarm optimization and Q-learning-based local search for energy-efficient distributed heterogeneous hybrid flow-shop scheduling problem. Expert Systems with Applications. 237. 121570–121570. 58 indexed citations
5.
Zhang, Wenqiang, et al.. (2019). Hybrid multiobjective evolutionary algorithm based on differential evolution for flow shop scheduling problems. Computers & Industrial Engineering. 130. 661–670. 28 indexed citations
6.
Sun, Lu, Lin Lin, Haojie Li, & Mitsuo Gen. (2019). Flexible Vehicle Scheduling Optimization with Uncertainty in Intelligent Logistic Systems. Sensors and Materials. 31(6). 2131–2131. 3 indexed citations
7.
Kashan, Ali Husseinzadeh, Reza Tavakkoli‐Moghaddam, & Mitsuo Gen. (2018). Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm: An effective algorithm with new evolutionary operators for global optimization. Computers & Industrial Engineering. 128. 192–218. 40 indexed citations
8.
Lin, Lin, Xinchang Hao, Mitsuo Gen, & Katsuhisa Ohno. (2012). A HYBRID EVOLUTIONARY ALGORITHM FOR INTEGRATED PRODUCTION PLANNING AND SCHEDULING PROBLEMS. Computers & Industrial Engineering. 4 indexed citations
9.
Gen, Mitsuo, Kwanwoo Kim, & Genji Yamazaki. (2012). Project scheduling using hybrid genetic algorithm with fuzzy logic controller in SCM environment. Tsinghua Science & Technology. 8(1). 19–29.
10.
Lin, Lin, et al.. (2012). A HYBRID EVOLUTIONARY ALGORITHM FOR FMS OPTIMIZATION WITH AGV DISPATCHING. Computers & Industrial Engineering. 7 indexed citations
11.
Wu, Jei‐Zheng, Chen–Fu Chien, & Mitsuo Gen. (2011). Coordinating strategic outsourcing decisions for semiconductor assembly using a bi-objective genetic algorithm. International Journal of Production Research. 50(1). 235–260. 38 indexed citations
12.
Lee, Jeong Eun, et al.. (2009). Hybrid Priority-based Genetic Algorithm for Multi-stage Reverse Logistics Network. Industrial Engineering & Management Systems. 8(1). 14–21. 7 indexed citations
13.
Gen, Mitsuo, Wenqiang Zhang, & Lin Lin. (2009). Survey of Evolutionary Algorithms in Advanced Planning and Scheduling. Journal of Korean Institute of Industrial Engineers. 35(1). 15–39. 2 indexed citations
14.
Lee, J., et al.. (2008). Multi-product Two-stage Transportation Problem with Multi-time Period and Inventory Using Priority-based Genetic Algorithm. 대한산업공학회 추계학술대회 논문집. 925–928. 1 indexed citations
15.
Gen, Mitsuo, et al.. (2006). A Performance Evaluation of Multiprocessor Scheduling with Genetic Algorithm. Asia Pacific Management Review. 11(2). 67–72. 11 indexed citations
16.
Gen, Mitsuo, et al.. (2005). Multiobjective Genetic Algorithm for Real-time Task Scheduling in Heterogeneous Multiprocessors System. 한국지능시스템학회 국제학술대회 발표논문집. 838–843. 2 indexed citations
17.
Moon, Chiung, Young Hae Lee, & Mitsuo Gen. (2004). Evolutionary Algorithm for Process Plan Selection with Multiple Objectives. Industrial Engineering & Management Systems. 3(2). 116–122. 2 indexed citations
18.
Murata, Tadahiko, et al.. (2001). Three-objective genetic algorithms for designing compact fuzzy rule-based systems for pattern classification problems. Genetic and Evolutionary Computation Conference. 485–492. 9 indexed citations
19.
Gen, Mitsuo, et al.. (1996). An Application of Fuzzy Set Theory to Inventory Control. 12. 855–856. 1 indexed citations
20.
Gen, Mitsuo, Runwei Cheng, & Kenichi Ida. (1996). Interval Programming Using Genetic Algorithms. 12. 861–864. 19 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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