Peng Guo

1.9k total citations · 1 hit paper
62 papers, 879 citations indexed

About

Peng Guo is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Peng Guo has authored 62 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Industrial and Manufacturing Engineering, 7 papers in Control and Systems Engineering and 6 papers in Computational Theory and Mathematics. Recurrent topics in Peng Guo's work include Scheduling and Optimization Algorithms (14 papers), Maritime Ports and Logistics (11 papers) and Advanced Manufacturing and Logistics Optimization (10 papers). Peng Guo is often cited by papers focused on Scheduling and Optimization Algorithms (14 papers), Maritime Ports and Logistics (11 papers) and Advanced Manufacturing and Logistics Optimization (10 papers). Peng Guo collaborates with scholars based in China, United States and Germany. Peng Guo's co-authors include Wenming Cheng, Shi-Liang Wu, Yi Wang, Cui-Xia Li, Yi Wang, Linmao Qian, Jian Zhang, Zeqiang Zhang, Xinglong Jin and Nils Boysen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Peng Guo

56 papers receiving 843 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.

Large-Scale Dynamic Scheduling for Flexible Job-Shop With Random Arrivals of New Jobs by Hierarchical Reinforcement Learning

2023 99 citations Peng Guo, Yi Wang et al. profile →

Peers

Peng Guo

IME

CTM

NA

CSE

BC

Antonio M. Rodríguez‐Chía Spain

Dalila B.M.M. Fontes Portugal

Cristiano Cervellera Italy

Markus Sinnl Austria

Ming-Hua Lin Taiwan

Faiz Al-Khayyal United States

Kevin C. Furman United States

Yuichi Nagata Japan

G. V. Reklaitis United States

Yann Collette France

Antonio M. Rodríguez‐Chía Spain

Peng Guo

517 ×1.3

IME

101 ×0.6

CTM

65 ×0.5

NA

151 ×1.6

CSE

147 ×1.7

BC

Citations per year, relative to Peng Guo Peng Guo (= 1×) peers Antonio M. Rodríguez‐Chía

Countries citing papers authored by Peng Guo

Since Specialization

Citations

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

Fields of papers citing papers by Peng Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Guo. A scholar is included among the top collaborators of Peng Guo 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 Peng Guo. Peng Guo 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

1.

Yang, Yang, Zhenhai Gao, Xingjun Hu, et al.. (2025). Analysis of heat and cooling characteristics of hub motors in electric vehicles. Thermal Science and Engineering Progress. 62. 103616–103616. 1 indexed citations

2.

Guo, Peng, et al.. (2025). Enabling within-the-hour fresh food deliveries: Integrated order batching and zone-picking through overhead conveyors. Transportation Research Part E Logistics and Transportation Review. 199. 104133–104133. 1 indexed citations

3.

Wang, Xiaoling, et al.. (2025). Smart Elderly Healthcare Services in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends. IEEE Access. 13. 139419–139432.

4.

Li, Yang, Zhicheng Peng, Lei Xie, et al.. (2024). Intelligent fault diagnosis of storage stacking machinery under variable working conditions using attention-based adaptive multimodal feature fusion networks. Structural Health Monitoring. 23(6). 3465–3485. 4 indexed citations

5.

Yu, Shui, et al.. (2024). A regional attenuation-based active learning method and its combination with minimax SSA for time-variant hybrid reliability analysis. Structural and Multidisciplinary Optimization. 67(4). 2 indexed citations

6.

Guo, Peng, et al.. (2024). Intelligent Scheduling for Group Distributed Manufacturing Systems: Harnessing Deep Reinforcement Learning in Cloud-Edge Cooperation. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(2). 1687–1698. 1 indexed citations

7.

Guo, Peng, Haichao Shi, Yi Wang, & Jianyu Xiong. (2024). Multi-objective scheduling of cloud-edge cooperation in distributed manufacturing via multi-agent deep reinforcement learning. International Journal of Production Research. 64(2). 751–775. 11 indexed citations

8.

Yu, Shui, et al.. (2023). Dynamic pruning-based Bayesian support vector regression for reliability analysis. Reliability Engineering & System Safety. 244. 109922–109922. 17 indexed citations

9.

Guo, Peng, et al.. (2023). A transformer with layer-cross decoding for remaining useful life prediction. The Journal of Supercomputing. 79(10). 11558–11584. 12 indexed citations

10.

Guo, Peng, et al.. (2023). A New Efficient Method for Absolute Value Equations. Mathematics. 11(15). 3356–3356.

11.

Liu, Qi, et al.. (2023). Enhancing aircraft engine remaining useful life prediction via multiscale deep transfer learning with limited data. Journal of Computational Design and Engineering. 11(1). 343–355. 9 indexed citations

12.

Guo, Peng, et al.. (2022). Unrelated Parallel Machine Photolithography Scheduling Problem With Dual Resource Constraints. IEEE Transactions on Semiconductor Manufacturing. 36(1). 100–112. 8 indexed citations

13.

Guo, Peng, et al.. (2020). Influence of Parked Car Ventilation Parameters on Driver Compartment Cooling after Hot Soak. 48(2). 76. 3 indexed citations

14.

Guo, Peng, Shi-Liang Wu, & Cui-Xia Li. (2019). On the SOR-like iteration method for solving absolute value equations. Applied Mathematics Letters. 97. 107–113. 49 indexed citations

15.

Li, Jun, et al.. (2016). Geom/NB/1 queueing system with emergency non-preemptive priority-waiting time and loss rate for regular patients. 36(8). 2143.

16.

Guo, Peng, et al.. (2015). Scheduling Step-Deteriorating Jobs on Parallel Machines by Mixed Integer Programming. 东华大学学报：英文版. 32(5). 709–714. 1 indexed citations

17.

Guo, Peng, Cui-Xia Li, & Shi-Liang Wu. (2014). A modified SOR-like method for the augmented systems. Journal of Computational and Applied Mathematics. 274. 58–69. 27 indexed citations

18.

Guo, Peng. (2012). Study of loading/unloading equipment optimization scheduling in railway container terminal. Computer Engineering and Applications Journal. 1 indexed citations

19.

Guo, Peng, et al.. (2012). Particle Swarm Optimization for Gantry Crane Scheduling with Interference Constraints. Research Journal of Applied Sciences Engineering and Technology. 4(9). 1117–1123. 4 indexed citations

20.

Guo, Peng. (2006). Application of Simulated Annealing Algorithm in Picture Makeup Optimization. 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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