Yong Gui

493 total citations · 2 hit papers
9 papers, 321 citations indexed

About

Yong Gui is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Management Science and Operations Research. According to data from OpenAlex, Yong Gui has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Industrial and Manufacturing Engineering, 2 papers in Control and Systems Engineering and 1 paper in Management Science and Operations Research. Recurrent topics in Yong Gui's work include Scheduling and Optimization Algorithms (9 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Digital Transformation in Industry (4 papers). Yong Gui is often cited by papers focused on Scheduling and Optimization Algorithms (9 papers), Advanced Manufacturing and Logistics Optimization (5 papers) and Digital Transformation in Industry (4 papers). Yong Gui collaborates with scholars based in China and New Zealand. Yong Gui's co-authors include Haihua Zhu, Dunbing Tang, Tong Zhou, Yi Zhang, Zequn Zhang, Yi Zhang, Changchun Liu, Changchun Liu, Qingwei Nie and Wei Chen and has published in prestigious journals such as Computers & Industrial Engineering, Robotics and Computer-Integrated Manufacturing and Advanced Engineering Informatics.

In The Last Decade

Yong Gui

9 papers receiving 307 citations

Hit Papers

Dynamic job shop scheduling based on deep reinforcement l... 2022 2026 2023 2024 2022 2023 50 100 150
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.

  1. Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems
    2022 151 citations Yi Zhang, Haihua Zhu et al. Robotics and Computer-Integrated Manufacturing profile →
  2. Dynamic scheduling for flexible job shop using a deep reinforcement learning approach
    2023 104 citations Yong Gui, Dunbing Tang et al. Computers & Industrial Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong Gui China 6 282 65 34 23 14 9 321
Shengluo Yang China 8 278 1.0× 38 0.6× 31 0.9× 15 0.7× 6 0.4× 13 305
Sven Schulz Germany 5 282 1.0× 57 0.9× 19 0.6× 40 1.7× 27 1.9× 5 311
Yuxin Li China 7 201 0.7× 39 0.6× 24 0.7× 59 2.6× 17 1.2× 33 296
Jiaxin Fan China 10 402 1.4× 86 1.3× 38 1.1× 39 1.7× 16 1.1× 22 475
Chunlong Yu China 9 254 0.9× 34 0.5× 24 0.7× 37 1.6× 14 1.0× 17 302
Bao An Han China 6 228 0.8× 60 0.9× 43 1.3× 33 1.4× 22 1.6× 10 281
You-Lian Zheng China 5 318 1.1× 52 0.8× 33 1.0× 79 3.4× 19 1.4× 9 353
Jacques Verriet Netherlands 8 120 0.4× 59 0.9× 56 1.6× 19 0.8× 32 2.3× 25 197
Matthias Klar Germany 9 140 0.5× 17 0.3× 15 0.4× 26 1.1× 16 1.1× 33 203
Wen-Qiang Zou China 10 370 1.3× 33 0.5× 26 0.8× 15 0.7× 12 0.9× 17 415

Countries citing papers authored by Yong Gui

Since Specialization
Citations

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

Fields of papers citing papers by Yong Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yong Gui

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

All Works

9 of 9 papers shown
1.
Gui, Yong, Dunbing Tang, Yuqian Lu, et al.. (2025). Real-time response to machine failures in self-organizing production execution using multi-agent reinforcement learning with effective samples. Robotics and Computer-Integrated Manufacturing. 95. 103038–103038. 1 indexed citations
2.
Gui, Yong, Zequn Zhang, Dunbing Tang, Haihua Zhu, & Yi Zhang. (2024). Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning. Advanced Engineering Informatics. 62. 102646–102646. 24 indexed citations
3.
Chen, Wei, Zequn Zhang, Dunbing Tang, et al.. (2024). Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem. Computers & Industrial Engineering. 197. 110633–110633. 10 indexed citations
4.
Gui, Yong, Dunbing Tang, Haihua Zhu, Yi Zhang, & Zequn Zhang. (2023). Dynamic scheduling for flexible job shop using a deep reinforcement learning approach. Computers & Industrial Engineering. 180. 109255–109255. 104 indexed citations breakdown →
5.
Gui, Yong, et al.. (2023). Dynamic scheduling for job shop with machine failure based on data mining technologies. Kybernetes. 54(2). 1150–1174. 2 indexed citations
6.
Zhou, Tong, et al.. (2022). Reinforcement learning for online optimization of job-shop scheduling in a smart manufacturing factory. Advances in Mechanical Engineering. 14(3). 20 indexed citations
7.
Zhang, Yi, Haihua Zhu, Dunbing Tang, Tong Zhou, & Yong Gui. (2022). Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems. Robotics and Computer-Integrated Manufacturing. 78. 102412–102412. 151 indexed citations breakdown →
8.
Zhu, Haihua, et al.. (2022). Research on an Adaptive Real-Time Scheduling Method of Dynamic Job-Shop Based on Reinforcement Learning. Machines. 10(11). 1078–1078. 8 indexed citations
9.
Zhu, Haihua, et al.. (2022). Research on a Real-time Job-shop Scheduling Method Based on Reinforcement Learning. Journal of Physics Conference Series. 2402(1). 12016–12016. 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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