Fengque Pei

501 total citations
35 papers, 318 citations indexed

About

Fengque Pei is a scholar working on Industrial and Manufacturing Engineering, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fengque Pei has authored 35 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 4 papers in Information Systems and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fengque Pei's work include Advanced Manufacturing and Logistics Optimization (18 papers), Scheduling and Optimization Algorithms (18 papers) and Digital Transformation in Industry (9 papers). Fengque Pei is often cited by papers focused on Advanced Manufacturing and Logistics Optimization (18 papers), Scheduling and Optimization Algorithms (18 papers) and Digital Transformation in Industry (9 papers). Fengque Pei collaborates with scholars based in China and Hong Kong. Fengque Pei's co-authors include Minghai Yuan, Lizhi Zhang, Wenbin Gu, Yifei Tong, Dongbo Li, Hanyu Huang, Chenxi Zhang, Xihui Chen, Zichen Li and Kun Ding and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Fengque Pei

24 papers receiving 305 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengque Pei China	9	227	33	30	30	30	35	318
Yumin Ma China	11	264 1.2×	61 1.8×	38 1.3×	25 0.8×	17 0.6×	40	398
Hossein Akbaripour Iran	8	156 0.7×	43 1.3×	55 1.8×	35 1.2×	22 0.7×	16	320
Gokalp Yildiz Türkiye	8	321 1.4×	20 0.6×	29 1.0×	44 1.5×	12 0.4×	11	367
Shibao Pang China	8	242 1.1×	63 1.9×	32 1.1×	38 1.3×	14 0.5×	13	357
Jing Zou United States	10	206 0.9×	64 1.9×	21 0.7×	15 0.5×	29 1.0×	30	354
Yassine Qamsane United States	9	304 1.3×	66 2.0×	29 1.0×	37 1.2×	19 0.6×	17	411
Ana Cachada Portugal	6	219 1.0×	53 1.6×	12 0.4×	29 1.0×	21 0.7×	8	325
Achim Rettberg Germany	6	150 0.7×	20 0.6×	26 0.9×	45 1.5×	19 0.6×	24	233
Jae-Min Yu South Korea	9	251 1.1×	28 0.8×	36 1.2×	61 2.0×	38 1.3×	20	373
Ply Chan Hong Kong	9	336 1.5×	34 1.0×	27 0.9×	36 1.2×	27 0.9×	13	422

Countries citing papers authored by Fengque Pei

Since Specialization

Citations

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

Fields of papers citing papers by Fengque Pei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengque Pei

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

All Works

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20 of 20 papers shown

Pei, Fengque, et al.. (2025). A Knowledge Push Method of Complex Product Assembly Process Design Based on Distillation Model-Based Dynamically Enhanced Graph and Bayesian Network. Chinese Journal of Mechanical Engineering. 38(1).

Yuan, Minghai, et al.. (2025). Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network. Swarm and Evolutionary Computation. 94. 101902–101902. 1 indexed citations

Liu, Jianhua, et al.. (2025). Automatic Generation Method of Knowledge Graph for Complex Product Assembly Processes Based on Text Mining. Chinese Journal of Mechanical Engineering. 38(1). 1 indexed citations

Pei, Fengque, et al.. (2025). A study of a matrix manufacturing system scheduling method considering equipment degradation. Expert Systems with Applications. 297. 129363–129363.

Gu, Wenbin, et al.. (2025). Digital twin-driven real-time collaborative scheduling for U-shaped automated container terminals. International Journal of Production Research. 63(24). 10765–10790.

Liu, Jianhua, et al.. (2025). Dynamic integrated process planning and scheduling under multi-resource constraints in workshops with reconfigurable manufacturing cells: a novel hyper-heuristic approach. Expert Systems with Applications. 289. 128337–128337. 2 indexed citations

Yuan, Minghai, Qi Yu, Li‐Zhi Zhang, et al.. (2025). Deep reinforcement learning based proximal policy optimization algorithm for dynamic job shop scheduling. Computers & Operations Research. 183. 107149–107149. 1 indexed citations

Yuan, Minghai, et al.. (2025). Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network. Swarm and Evolutionary Computation. 98. 102076–102076. 1 indexed citations

Pei, Fengque, et al.. (2025). Recognition of Chinese wolfberry images with windy and sandy noises using improved YOLOv8. International journal of agricultural and biological engineering. 18(2). 245–259.

10.

Zhuang, Cunbo, Lei Zhang, Shimin Liu, et al.. (2025). Digital twin-based smart shop-floor management and control: A review. Advanced Engineering Informatics. 65. 103102–103102. 7 indexed citations

11.

Pei, Fengque, et al.. (2024). Collaborative Optimization of a Matrix Manufacturing System Based on Overall Equipment Effectiveness. Chinese Journal of Mechanical Engineering. 37(1). 3 indexed citations

12.

Shu, Rui, et al.. (2024). Research on optimal path sampling algorithm of manipulator based on potential function. International Journal of Intelligent Robotics and Applications. 8(2). 299–321. 1 indexed citations

13.

Yuan, Minghai, Hanyu Huang, Zichen Li, et al.. (2023). A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem. Advanced Engineering Informatics. 58. 102230–102230. 28 indexed citations

14.

Pei, Fengque, et al.. (2023). Real-Time Energy Consumption Sensing System in SMT Intelligent Workshop. Mechanika. 29(5). 387–394.

15.

Yuan, Minghai, et al.. (2023). Research on real-time prediction of completion time based on AE-CNN-LSTM. Computers & Industrial Engineering. 185. 109677–109677. 11 indexed citations

16.

Yuan, Minghai, et al.. (2023). Research on flexible job shop scheduling problem with AGV using double DQN. Journal of Intelligent Manufacturing. 36(1). 509–535. 34 indexed citations

17.

Shi, Junjie, et al.. (2023). Bidirectional sampling method for imbalanced data. 46–46. 1 indexed citations

18.

Pei, Fengque, et al.. (2022). Critical Review on the Objective Function of Flexible Job Shop Scheduling. Mathematical Problems in Engineering. 2022. 1–18. 3 indexed citations

19.

Yuan, Minghai, et al.. (2022). Research on Resource Optimal Scheduling Method of Intelligent Manufacturing Workshop. SSRN Electronic Journal.

20.

Pei, Fengque, Yifei Tong, Minghai Yuan, Kun Ding, & Xihui Chen. (2021). The digital twin of the quality monitoring and control in the series solar cell production line. Journal of Manufacturing Systems. 59. 127–137. 35 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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