Yongkui Liu

6.3k total citations · 3 hit papers
125 papers, 4.7k citations indexed

About

Yongkui Liu is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Yongkui Liu has authored 125 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Industrial and Manufacturing Engineering, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Sociology and Political Science. Recurrent topics in Yongkui Liu's work include Digital Transformation in Industry (46 papers), Scheduling and Optimization Algorithms (19 papers) and Manufacturing Process and Optimization (17 papers). Yongkui Liu is often cited by papers focused on Digital Transformation in Industry (46 papers), Scheduling and Optimization Algorithms (19 papers) and Manufacturing Process and Optimization (17 papers). Yongkui Liu collaborates with scholars based in China, Sweden and New Zealand. Yongkui Liu's co-authors include Zhang Li, Xun Xu, Long Wang, Lihui Wang, Fei Tao, Xiaojie Chen, Ray Y. Zhong, Matjaž Perc, Ying Cheng and Borut Žalik and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Yongkui Liu

121 papers receiving 4.6k 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.

Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

2018 639 citations Yongkui Liu, Xun Xu et al. profile →
Cloud manufacturing: a new manufacturing paradigm

2012 621 citations Zhang Li, Fei Tao et al. profile →
Win-Stay-Lose-Learn Promotes Cooperation in the Spatial Prisoner's Dilemma Game

2012 470 citations Yongkui Liu, Zhang Li et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yongkui Liu China	32	2.5k	531	508	488	470	125	4.7k
Ang Liu China	36	4.4k 1.8×	708 1.3×	552 1.1×	538 1.1×	377 0.8×	212	8.6k
Chun‐Hsien Chen Singapore	46	2.4k 1.0×	447 0.8×	247 0.5×	1.5k 3.1×	614 1.3×	217	7.3k
G.T.S. Ho Hong Kong	37	1.8k 0.7×	838 1.6×	741 1.5×	176 0.4×	789 1.7×	176	5.5k
Hans-Georg Kemper Germany	14	1.7k 0.7×	394 0.7×	340 0.7×	340 0.7×	575 1.2×	61	3.2k
Heiner Lasi Germany	9	1.7k 0.7×	341 0.6×	326 0.6×	320 0.7×	512 1.1×	32	3.0k
Qiang Liu China	28	3.0k 1.2×	860 1.6×	527 1.0×	254 0.5×	356 0.8×	156	4.9k
Thorsten Wuest United States	31	3.8k 1.5×	343 0.6×	270 0.5×	653 1.3×	957 2.0×	121	6.1k
Peter Fettke Germany	22	1.9k 0.8×	1.1k 2.1×	539 1.1×	421 0.9×	700 1.5×	145	5.0k
Amy J.C. Trappey Taiwan	36	1.1k 0.4×	333 0.6×	225 0.4×	1.1k 2.3×	639 1.4×	230	4.3k
Lida Xu China	42	1.2k 0.5×	1.2k 2.3×	1.2k 2.4×	482 1.0×	458 1.0×	171	5.4k

Countries citing papers authored by Yongkui Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yongkui Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongkui Liu

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

Kang, Yang, et al.. (2025). A multi-level multi-domain digital twin modeling method for industrial robots. Robotics and Computer-Integrated Manufacturing. 95. 103023–103023. 2 indexed citations

Liu, Yongkui, et al.. (2024). A phased robotic assembly policy based on a PL-LSTM-SAC algorithm. Journal of Manufacturing Systems. 78. 351–369. 1 indexed citations

Wang, Xiaohan, Zhang Li, Lihui Wang, Xi Vincent Wang, & Yongkui Liu. (2024). Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems. International Journal of Production Research. 62(21). 7743–7762. 8 indexed citations

Wang, Pei, et al.. (2024). Multivariate quality prediction of thin-walled parts machining using multi-task parallel deep transfer learning. International Journal of Production Research. 63(6). 2058–2089. 2 indexed citations

Wang, Xiaohan, Yuanjun Laili, Zhang Li, & Yongkui Liu. (2024). Hybrid Task Scheduling in Cloud Manufacturing With Sparse-Reward Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 22. 1878–1892. 7 indexed citations

Liu, Yongkui, et al.. (2023). Enterprises cooperation and government supervision strategies under the impact of COVID-19. Computers & Industrial Engineering. 185. 109694–109694. 3 indexed citations

Wang, Xiaohan, Zhang Li, Yongkui Liu, & Chun Zhao. (2023). Logistics-involved task scheduling in cloud manufacturing with offline deep reinforcement learning. Journal of Industrial Information Integration. 34. 100471–100471. 23 indexed citations

Liu, Yongkui, et al.. (2023). Enterprise and service−level scheduling of robot production services in cloud manufacturing with deep reinforcement learning. Journal of Intelligent Manufacturing. 35(8). 3889–3916. 1 indexed citations

Wang, Xiaohan, Lin Zhang, Yongkui Liu, & Yuanjun Laili. (2023). An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing. International Journal of Production Research. 62(11). 4014–4030. 16 indexed citations

10.

Liu, Yongkui, et al.. (2023). Architecture and Implementation of High-Fidelity Digital Twins for Industrial Robots. 1 indexed citations

11.

Givehchi, Mohammad, Yongkui Liu, Xi Vincent Wang, & Lihui Wang. (2022). Function block-enabled operation planning and machine control in Cloud-DPP. International Journal of Production Research. 61(4). 1168–1184. 5 indexed citations

12.

Wang, Xiaohan, Zhang Li, Yongkui Liu, Chun Zhao, & Kunyu Wang. (2022). Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning. Journal of Manufacturing Systems. 65. 452–468. 31 indexed citations

13.

Zheng, Hualin, et al.. (2022). Hierarchical scheduling for multi-composite tasks in cloud manufacturing. International Journal of Production Research. 61(4). 1039–1057. 19 indexed citations

14.

Wang, Kangzhou, et al.. (2022). Economic implications of equipment sharing under cloud manufacturing. International Journal of Production Economics. 254. 108627–108627. 10 indexed citations

15.

Zhao, Yuan, et al.. (2022). A framework for development of digital twin industrial robot production lines based on a mechatronics approach. Advances in Complex Systems. 14(6). 5 indexed citations

16.

Liu, Yongkui, et al.. (2022). Scheduling of decentralized robot services in cloud manufacturing with deep reinforcement learning. Robotics and Computer-Integrated Manufacturing. 80. 102454–102454. 46 indexed citations

17.

Liu, Yongkui, et al.. (2021). Effects of different resource-sharing strategies in cloud manufacturing: a Stackelberg game-based approach. International Journal of Production Research. 61(2). 520–540. 29 indexed citations

18.

Liu, Yongkui, Lihui Wang, Xi Vincent Wang, Xun Xu, & Pingyu Jiang. (2019). Cloud manufacturing: key issues and future perspectives. International Journal of Computer Integrated Manufacturing. 32(9). 858–874. 77 indexed citations

19.

Liu, Yongkui, Lihui Wang, Xi Vincent Wang, Xun Xu, & Zhang Li. (2018). Scheduling in cloud manufacturing: state-of-the-art and research challenges. International Journal of Production Research. 57(15-16). 4854–4879. 218 indexed citations

20.

Liu, Yongkui, Zhang Li, Fei Tao, & Long Wang. (2015). Resource service sharing in cloud manufacturing based on the Gale–Shapley algorithm: advantages and challenge. International Journal of Computer Integrated Manufacturing. 30(4-5). 420–432. 53 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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