Yibing Li

4.2k total citations · 1 hit paper
86 papers, 3.0k citations indexed

About

Yibing Li is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Yibing Li has authored 86 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Industrial and Manufacturing Engineering, 24 papers in Control and Systems Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Yibing Li's work include Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (22 papers) and Assembly Line Balancing Optimization (15 papers). Yibing Li is often cited by papers focused on Scheduling and Optimization Algorithms (28 papers), Advanced Manufacturing and Logistics Optimization (22 papers) and Assembly Line Balancing Optimization (15 papers). Yibing Li collaborates with scholars based in China, United States and Sweden. Yibing Li's co-authors include Richard M. Lerner, Shunsheng Guo, Jacqueline V. Lerner, Li Jiang, Baigang Du, Edmond P. Bowers, Aerika Brittian Loyd, Jun Guo, Rui Wu and Erin Phelps and has published in prestigious journals such as Journal of Cleaner Production, Journal of Materials Chemistry A and Developmental Psychology.

In The Last Decade

Yibing Li

78 papers receiving 2.9k citations

Hit Papers

Trajectories of school engagement during adolescence: Imp... 2011 2026 2016 2021 2011 100 200 300 400 500
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. Trajectories of school engagement during adolescence: Implications for grades, depression, delinquency, and substance use.
    2011 515 citations Yibing Li et al. profile →

Peers

Yibing Li
Linda C. Schmidt United States
Theodore Lim United Kingdom
Nancy J. Cooke United States
Gale Lucas United States
Joseph B. Lyons United States
Selma Šabanović United States
Abdullah Al Mahmud Australia
Li Jin China
Vanessa Evers Netherlands
Malte Jung United States
Linda C. Schmidt United States
Yibing Li
Citations per year, relative to Yibing Li Yibing Li (= 1×) peers Linda C. Schmidt

Countries citing papers authored by Yibing Li

Since Specialization
Citations

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

Fields of papers citing papers by Yibing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibing Li

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

All Works

20 of 20 papers shown
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Li, Yibing, Wei Zhu, Jun Guo, Kaipu Wang, & Liang Gao. (2025). Multi-objective collaborative optimization of green disassembly planning and recovery option decision considering the learning effect. Journal of Manufacturing Systems. 80. 324–343. 1 indexed citations
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Li, Xixing, Hongtao Tang, Rui Wu, et al.. (2025). A Q-learning improved differential evolution algorithm for human-centric dynamic distributed flexible job shop scheduling problem. Journal of Manufacturing Systems. 80. 794–823. 4 indexed citations
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Li, Yibing, et al.. (2025). Feature-enhanced few-shot method for bearing fault diagnosis based on dynamic sparse attention under noise conditions. Measurement Science and Technology. 36(2). 26122–26122.
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Wu, Rui, et al.. (2025). Dynamic scheduling for flexible job shop under machine breakdown using Improved Double Deep Q-network. Expert Systems with Applications. 288. 128280–128280. 3 indexed citations
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Du, Baigang, et al.. (2024). A hybrid estimation of distribution algorithm for solving assembly flexible job shop scheduling in a distributed environment. Engineering Applications of Artificial Intelligence. 133. 108491–108491. 13 indexed citations
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Chen, Xin, Yibing Li, Kaipu Wang, et al.. (2024). Reinforcement learning for distributed hybrid flowshop scheduling problem with variable task splitting towards mass personalized manufacturing. Journal of Manufacturing Systems. 76. 188–206. 18 indexed citations
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Guo, Shunsheng, et al.. (2024). Digital Twin-Based Pump Station Dynamic Scheduling for Energy-Saving Optimization in Water Supply System. Water Resources Management. 38(8). 2773–2789. 13 indexed citations
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Li, Yibing, et al.. (2023). A Reinforcement Learning-Artificial Bee Colony algorithm for Flexible Job-shop Scheduling Problem with Lot Streaming. Applied Soft Computing. 146. 110658–110658. 62 indexed citations
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Wang, Kaipu, Jun Guo, Baigang Du, et al.. (2023). A novel MILP model and an improved genetic algorithm for disassembly line balancing and sequence planning with partial destructive mode. Computers & Industrial Engineering. 186. 109704–109704. 27 indexed citations
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Jiang, Li, et al.. (2022). Rotating machinery fault diagnosis based on transfer learning and an improved convolutional neural network. Measurement Science and Technology. 33(10). 105012–105012. 14 indexed citations
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Jiang, Li, et al.. (2022). Bearing fault diagnosis method based on a multi-head graph attention network. Measurement Science and Technology. 33(7). 75012–75012. 51 indexed citations
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Li, Yibing, Hu Wan, & Li Jiang. (2021). Alignment subdomain-based deep convolutional transfer learning for machinery fault diagnosis under different working conditions. Measurement Science and Technology. 33(5). 55006–55006. 7 indexed citations
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Li, Yibing, et al.. (2020). An improved artificial bee colony algorithm for solving multi-objective low-carbon flexible job shop scheduling problem. Applied Soft Computing. 95. 106544–106544. 112 indexed citations
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Wu, Rui, Yibing Li, Shunsheng Guo, & Wenxiang Xu. (2018). Solving the dual-resource constrained flexible job shop scheduling problem with learning effect by a hybrid genetic algorithm. Advances in Mechanical Engineering. 10(10). 54 indexed citations
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Wu, Rui, Yibing Li, Shunsheng Guo, & Xixing Li. (2018). An Efficient Meta-Heuristic for Multi-Objective Flexible Job Shop Inverse Scheduling Problem. IEEE Access. 6. 59515–59527. 13 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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