Deming Lei

662 total citations
19 papers, 458 citations indexed

About

Deming Lei is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Deming Lei has authored 19 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 5 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Deming Lei's work include Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Assembly Line Balancing Optimization (6 papers). Deming Lei is often cited by papers focused on Scheduling and Optimization Algorithms (19 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Assembly Line Balancing Optimization (6 papers). Deming Lei collaborates with scholars based in China, Sweden and United States. Deming Lei's co-authors include Jing Wang, Jing Wang, Jingcao Cai, Hongtao Tang, Tao Xu, Yuhang Zhang, Mingbo Li, Jing Wang, Xixing Li and Debiao Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Deming Lei

16 papers receiving 442 citations

Peers

Deming Lei

IME

CSE

CNC

CTM

Majid Khalili Iran

Mehdi Abedi Iran

Alper Hamzadayı Türkiye

Enda Jiang China

Fuh‐Der Chou Taiwan

You-Lian Zheng China

Mansour Eddaly Tunisia

Ningning Zhu China

Hande Öztop Türkiye

Damla Kızılay Türkiye

Majid Khalili Iran

Deming Lei

313 ×0.8

IME

85 ×0.8

60 ×0.8

CSE

48 ×0.8

CNC

35 ×1.0

CTM

Citations per year, relative to Deming Lei Deming Lei (= 1×) peers Majid Khalili

Countries citing papers authored by Deming Lei

Since Specialization

Citations

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

Fields of papers citing papers by Deming Lei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deming Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Deming Lei. A scholar is included among the top collaborators of Deming Lei 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 Deming Lei. Deming Lei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Tang, Hongtao, et al.. (2025). An improved shuffled frog leaping algorithm based on support vector machine for hybrid flow shop rescheduling with disturbance prediction. Swarm and Evolutionary Computation. 93. 101843–101843. 2 indexed citations

Wu, L. J., et al.. (2025). An Adaptive Cooperated Shuffled Frog-Leaping Algorithm for Parallel Batch Processing Machines Scheduling in Fabric Dyeing Processes. Computers, materials & continua/Computers, materials & continua (Print). 83(2). 1771–1789.

Huang, Lang, et al.. (2025). Ant colony algorithm and grey relation theory for manufacturing resources optimal allocation towards industry 5.0. International Journal of Computer Integrated Manufacturing. 1–23.

Yan, Shaofeng, et al.. (2025). Reinforcement learning enhanced imperialist competitive algorithm for flexible job-shop scheduling problem with limited transportation and auxiliary resources. Expert Systems with Applications. 297. 129467–129467.

Wang, Jing, Deming Lei, Debiao Li, Xixing Li, & Hongtao Tang. (2024). A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines. Journal of Manufacturing Systems. 78. 94–108. 3 indexed citations

Lei, Deming, et al.. (2024). An adaptive shuffled frog-leaping algorithm for flexible flow shop scheduling problem with batch processing machines. Applied Soft Computing. 166. 112230–112230. 2 indexed citations

Zhang, Yuhang, Deming Lei, & Jing Wang. (2024). An artificial bee colony with diversified operators for energy-efficient hybrid flow shop scheduling with batch processing machines. Engineering Applications of Artificial Intelligence. 136. 108930–108930. 8 indexed citations

Lei, Deming, et al.. (2024). A Multi-Objective Hybrid Algorithm for the Casting Scheduling Problem with Unrelated Batch Processing Machine. SHILAP Revista de lepidopterología. 4(3). 236–257. 1 indexed citations

Tang, Hongtao, et al.. (2023). A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem. Expert Systems with Applications. 237. 121723–121723. 69 indexed citations

10.

Wang, Jing, Deming Lei, & Hongtao Tang. (2023). An adaptive artificial bee colony for hybrid flow shop scheduling with batch processing machines in casting process. International Journal of Production Research. 62(13). 4793–4808. 16 indexed citations

11.

Wang, Jing, et al.. (2023). A Q-learning artificial bee colony for distributed assembly flow shop scheduling with factory eligibility, transportation capacity and setup time. Engineering Applications of Artificial Intelligence. 123. 106230–106230. 39 indexed citations

12.

Lei, Deming, et al.. (2022). Scheduling unrelated parallel machines with preventive maintenance and setup time: Multi-sub-colony artificial bee colony. Applied Soft Computing. 125. 109154–109154. 15 indexed citations

13.

Wang, Jing, Deming Lei, & Mingbo Li. (2022). A Q-Learning-Based Artificial Bee Colony Algorithm for Distributed Three-Stage Assembly Scheduling with Factory Eligibility and Setup Times. Machines. 10(8). 661–661. 6 indexed citations

14.

Li, Mingbo, et al.. (2022). A shuffled frog-leaping algorithm with Q-learning for unrelated parallel machine scheduling with additional resource and learning effect. Journal of Intelligent & Fuzzy Systems. 44(3). 5357–5375. 2 indexed citations

15.

Wang, Jing, Deming Lei, & Jingcao Cai. (2021). An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance. Applied Soft Computing. 117. 108371–108371. 79 indexed citations

16.

Lei, Deming, et al.. (2020). An artificial bee colony with division for distributed unrelated parallel machine scheduling with preventive maintenance. Computers & Industrial Engineering. 141. 106320–106320. 75 indexed citations

17.

Lei, Deming, et al.. (2018). Distributed parallel machines scheduling in the heterogeneous production network: a variable neighborhood search. 1932–1937. 1 indexed citations

18.

Lei, Deming. (2011). Simplified multi-objective genetic algorithms for stochastic job shop scheduling. Applied Soft Computing. 11(8). 4991–4996. 47 indexed citations

19.

Lei, Deming. (2007). A Pareto archive particle swarm optimization for multi-objective job shop scheduling. Computers & Industrial Engineering. 54(4). 960–971. 93 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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