Chao Lu

4.9k total citations · 3 hit papers
93 papers, 3.8k citations indexed

About

Chao Lu is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Chao Lu has authored 93 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Industrial and Manufacturing Engineering, 25 papers in Artificial Intelligence and 20 papers in Computational Theory and Mathematics. Recurrent topics in Chao Lu's work include Scheduling and Optimization Algorithms (63 papers), Advanced Manufacturing and Logistics Optimization (50 papers) and Assembly Line Balancing Optimization (26 papers). Chao Lu is often cited by papers focused on Scheduling and Optimization Algorithms (63 papers), Advanced Manufacturing and Logistics Optimization (50 papers) and Assembly Line Balancing Optimization (26 papers). Chao Lu collaborates with scholars based in China, Singapore and Hong Kong. Chao Lu's co-authors include Liang Gao, Xinyu Li, Wenyin Gong, Rui Li, Lvjiang Yin, Jin Yi, Ling Wang, Biao Zhang, Jiajun Zhou and Quan-Ke Pan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Expert Systems with Applications.

In The Last Decade

Chao Lu

89 papers receiving 3.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A reinforcement learning based RMOEA/D for bi-objective fuzzy flexible job shop scheduling

2022 152 citations Rui Li, Wenyin Gong et al. Expert Systems with Applications profile →
A Learning-Based Memetic Algorithm for Energy-Efficient Flexible Job-Shop Scheduling With Type-2 Fuzzy Processing Time

2022 150 citations Rui Li, Wenyin Gong et al. profile →
A Pareto-based hybrid iterated greedy algorithm for energy-efficient scheduling of distributed hybrid flowshop

2022 145 citations Chao Lu, Biao Zhang et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chao Lu China	36	2.8k	893	576	517	356	93	3.8k
Chaoyong Zhang China	41	3.6k 1.3×	533 0.6×	513 0.9×	252 0.5×	264 0.7×	155	4.5k
Hongyan Sang China	33	2.3k 0.8×	657 0.7×	403 0.7×	236 0.5×	302 0.8×	125	3.2k
Yannis Marinakis Greece	34	1.4k 0.5×	1.2k 1.4×	335 0.6×	358 0.7×	173 0.5×	81	3.0k
Peiyong Duan China	28	1.3k 0.5×	494 0.6×	690 1.2×	298 0.6×	494 1.4×	79	2.5k
Alexander Fay Germany	26	2.1k 0.8×	537 0.6×	705 1.2×	334 0.6×	221 0.6×	402	3.3k
Su Nguyen Australia	26	1.8k 0.7×	1.4k 1.6×	538 0.9×	487 0.9×	305 0.9×	72	3.1k
Miguel Á. Salido Spain	24	1.8k 0.6×	346 0.4×	223 0.4×	212 0.4×	224 0.6×	85	2.4k
Biao Zhang China	32	2.2k 0.8×	400 0.4×	425 0.7×	140 0.3×	317 0.9×	118	2.9k
Ali Husseinzadeh Kashan Iran	25	962 0.3×	865 1.0×	200 0.3×	399 0.8×	244 0.7×	91	2.4k
Xiwang Guo China	28	2.1k 0.8×	318 0.4×	379 0.7×	197 0.4×	223 0.6×	173	3.2k

Countries citing papers authored by Chao Lu

Since Specialization

Citations

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

Fields of papers citing papers by Chao Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhang, Biao, et al.. (2025). Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop. Information Sciences. 708. 122023–122023. 11 indexed citations

Li, Xin, et al.. (2025). Adaptive knowledge-based multi-objective evolutionary algorithm for hybrid flow shop scheduling problems with multiple parallel batch processing stages. Swarm and Evolutionary Computation. 95. 101929–101929.

Meng, Leilei, et al.. (2025). Knowledge- and data-driven hybrid method for lot streaming scheduling in hybrid flowshop with dynamic order arrivals. Computers & Operations Research. 184. 107244–107244. 5 indexed citations

Lu, Chao, Jiajun Zhou, Liang Gao, Xinyu Li, & Junliang Wang. (2024). Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Applied Soft Computing. 156. 111508–111508. 22 indexed citations

Zhou, Jiajun, Yun Tian, Liang Gao, Chao Lu, & Xifan Yao. (2024). Knowledge-aware manufacturing services collaboration: A comprehensive study of evolutionary transfer optimization approaches. Advanced Engineering Informatics. 60. 102343–102343. 7 indexed citations

He, Peng, et al.. (2024). Optimizing distributed reentrant heterogeneous hybrid flowshop batch scheduling problem: Iterative construction-local search-reconstruction algorithm. Swarm and Evolutionary Computation. 90. 101681–101681. 8 indexed citations

Zhou, Jiajun, et al.. (2024). Voting enabled dynamic constraint handling portfolios for evolutionary multi/many-objective optimization. Information Sciences. 694. 121700–121700. 2 indexed citations

Lu, Chao, et al.. (2024). A Self-Learning Memetic Algorithm for Human-Robot Collaboration Scheduling in Energy-Efficient Distributed Mixed Fuzzy Welding Shop. IEEE Transactions on Automation Science and Engineering. 22. 6595–6607. 5 indexed citations

Zhou, Jiajun, Liang Gao, & Chao Lu. (2023). Solving multi-task manufacturing cloud service allocation problems via bee colony optimizer with transfer learning. Advanced Engineering Informatics. 56. 101984–101984. 18 indexed citations

10.

Li, Guiling, et al.. (2023). A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking. Expert Systems with Applications. 237. 121667–121667. 36 indexed citations

11.

Gong, Wenyin, et al.. (2023). Knowledge-driven two-stage memetic algorithm for energy-efficient flexible job shop scheduling with machine breakdowns. Expert Systems with Applications. 235. 121149–121149. 52 indexed citations

12.

Zhang, Biao, Leilei Meng, Chao Lu, & Junqing Li. (2023). Real-time data-driven automatic design of multi-objective evolutionary algorithm: A case study on production scheduling. Applied Soft Computing. 138. 110187–110187. 5 indexed citations

13.

Gong, Wenyin, et al.. (2023). An enhanced memetic algorithm with hierarchical heuristic neighborhood search for type-2 green fuzzy flexible job shop scheduling. Engineering Applications of Artificial Intelligence. 130. 107762–107762. 28 indexed citations

14.

Cao, Shijie, Rui Li, Wenyin Gong, & Chao Lu. (2023). Inverse model and adaptive neighborhood search based cooperative optimizer for energy-efficient distributed flexible job shop scheduling. Swarm and Evolutionary Computation. 83. 101419–101419. 26 indexed citations

15.

Li, Rui, et al.. (2023). Co-Evolution With Deep Reinforcement Learning for Energy-Aware Distributed Heterogeneous Flexible Job Shop Scheduling. IEEE Transactions on Systems Man and Cybernetics Systems. 54(1). 201–211. 82 indexed citations

16.

Lu, Chao, Liang Gao, Xinyu Li, & Lvjiang Yin. (2023). Intelligence Optimization for Green Scheduling in Manufacturing Systems. 4 indexed citations

17.

Lu, Chao, Biao Zhang, Liang Gao, Jin Yi, & Jianhui Mou. (2021). A Knowledge-Based Multiobjective Memetic Algorithm for Green Job Shop Scheduling With Variable Machining Speeds. IEEE Systems Journal. 16(1). 844–855. 46 indexed citations

18.

Lu, Chao, Liang Gao, Jin Yi, & Xinyu Li. (2020). Energy-Efficient Scheduling of Distributed Flow Shop With Heterogeneous Factories: A Real-World Case From Automobile Industry in China. IEEE Transactions on Industrial Informatics. 17(10). 6687–6696. 142 indexed citations

19.

Lu, Chao, Xinyu Li, Liang Gao, Wei Liao, & Jin Yi. (2016). An effective multi-objective discrete virus optimization algorithm for flexible job-shop scheduling problem with controllable processing times. Computers & Industrial Engineering. 104. 156–174. 131 indexed citations

20.

Lu, Chao & Yansheng Lu. (2007). Combination reduction: A SYN-sequence selection strategy for reachability testing of concurrent programs. Wuhan University Journal of Natural Sciences. 12(6). 1024–1028. 1 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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