Kaipu Wang

1.3k total citations
29 papers, 982 citations indexed

About

Kaipu Wang is a scholar working on Industrial and Manufacturing Engineering, Building and Construction and Automotive Engineering. According to data from OpenAlex, Kaipu Wang has authored 29 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Industrial and Manufacturing Engineering, 6 papers in Building and Construction and 5 papers in Automotive Engineering. Recurrent topics in Kaipu Wang's work include Manufacturing Process and Optimization (20 papers), Scheduling and Optimization Algorithms (12 papers) and Assembly Line Balancing Optimization (12 papers). Kaipu Wang is often cited by papers focused on Manufacturing Process and Optimization (20 papers), Scheduling and Optimization Algorithms (12 papers) and Assembly Line Balancing Optimization (12 papers). Kaipu Wang collaborates with scholars based in China, United States and Sweden. Kaipu Wang's co-authors include Liang Gao, Xinyu Li, Peigen Li, Yi Wang, Zhu Li-xia, Zeqiang Zhang, Jun Guo, Surendra M. Gupta, Akhil Garg and Baigang Du and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and IEEE Transactions on Cybernetics.

In The Last Decade

Kaipu Wang

27 papers receiving 962 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kaipu Wang China	16	836	154	117	103	73	29	982
Yilin Fang China	11	574 0.7×	72 0.5×	62 0.5×	75 0.7×	56 0.8×	36	723
Louis Rivest Canada	15	641 0.8×	159 1.0×	115 1.0×	240 2.3×	46 0.6×	66	887
İbrahim Küçükkoç Türkiye	25	1.4k 1.6×	59 0.4×	379 3.2×	295 2.9×	61 0.8×	54	1.7k
Jumyung Um South Korea	13	422 0.5×	42 0.3×	84 0.7×	129 1.3×	55 0.8×	53	638
Shujin Qin China	12	372 0.4×	56 0.4×	103 0.9×	52 0.5×	31 0.4×	85	543
Ziyan Zhao China	13	621 0.7×	38 0.2×	56 0.5×	103 1.0×	27 0.4×	45	875
Jeongsam Yang South Korea	15	203 0.2×	92 0.6×	39 0.3×	66 0.6×	41 0.6×	48	540
Dušan Šormaz United States	15	489 0.6×	36 0.2×	92 0.8×	137 1.3×	28 0.4×	58	673
Thomas Hedberg United States	15	674 0.8×	30 0.2×	77 0.7×	130 1.3×	40 0.5×	31	863
Yuchu Qin United Kingdom	19	567 0.7×	48 0.3×	307 2.6×	307 3.0×	35 0.5×	56	904

Countries citing papers authored by Kaipu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Kaipu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaipu Wang

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

Wang, Kaipu, et al.. (2025). An adaptive genetic algorithm based on Q-learning for energy-efficient e-waste disassembly line balancing and rebalancing considering task failures. Journal of Manufacturing Systems. 80. 1–19. 3 indexed citations

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

Li, Yibing, et al.. (2025). A Q-learning-based improved multi-objective genetic algorithm for solving distributed heterogeneous assembly flexible job shop scheduling problems with transfers. Journal of Manufacturing Systems. 79. 398–418. 11 indexed citations

Xu, Wenjun, et al.. (2025). Mixed-model product disassembly sequence optimization based on cognitive digital twin. Journal of Manufacturing Systems. 82. 497–508. 1 indexed citations

Zhang, Wei, Yibing Li, Kaipu Wang, Wenjun Xu, & Liang Gao. (2025). A green and efficient disassembly line balancing with human-robot collaboration and destructive disassembly. Robotics and Computer-Integrated Manufacturing. 97. 103081–103081.

Guo, Jun, Bin Peng, Baigang Du, Kaipu Wang, & Yibing Li. (2025). Q-learning-based multi-objective spotted hyena algorithm for flexible open shop scheduling problem with consideration of preventive maintenance and travel/setup times. Journal of Manufacturing Systems. 82. 224–238. 1 indexed citations

Qiu, Tong, et al.. (2025). A novel MOEA/D with Q-Learning initialization for dual-resource constrained flexible job shop scheduling problem with limited multi-skilled workers. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

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

Tang, Hongtao, et al.. (2024). A multi-objective genetic algorithm based on two-stage reinforcement learning for green flexible shop scheduling problem considering machine speed. Expert Systems with Applications. 258. 125189–125189. 10 indexed citations

10.

Li, Yibing, et al.. (2024). Multi-objective grey wolf optimizer based on reinforcement learning for distributed hybrid flowshop scheduling towards mass personalized manufacturing. Expert Systems with Applications. 264. 125866–125866. 4 indexed citations

11.

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

12.

Lu, Chao, et al.. (2023). A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem. Engineering Applications of Artificial Intelligence. 128. 107458–107458. 57 indexed citations

13.

Guo, Jun, Yang Li, Baigang Du, & Kaipu Wang. (2023). Multi-objective fuzzy partial disassembly line balancing considering preventive maintenance scenarios using enhanced hybrid artificial bee colony algorithm. Expert Systems with Applications. 237. 121681–121681. 25 indexed citations

14.

Wang, Kaipu, Xinyu Li, Liang Gao, Peigen Li, & John W. Sutherland. (2021). A Discrete Artificial Bee Colony Algorithm for Multiobjective Disassembly Line Balancing of End-of-Life Products. IEEE Transactions on Cybernetics. 52(8). 7415–7426. 56 indexed citations

15.

Wang, Kaipu, Xinyu Li, Liang Gao, & Peigen Li. (2020). Modeling and Balancing for Green Disassembly Line Using Associated Parts Precedence Graph and Multi-objective Genetic Simulated Annealing. International Journal of Precision Engineering and Manufacturing-Green Technology. 8(5). 1597–1613. 28 indexed citations

16.

Wang, Kaipu, Xinyu Li, Liang Gao, & Peigen Li. (2020). Energy consumption and profit-oriented disassembly line balancing for waste electrical and electronic equipment. Journal of Cleaner Production. 265. 121829–121829. 52 indexed citations

17.

Wang, Kaipu, Xinyu Li, Liang Gao, & Akhil Garg. (2019). Partial disassembly line balancing for energy consumption and profit under uncertainty. Robotics and Computer-Integrated Manufacturing. 59. 235–251. 69 indexed citations

18.

Wang, Kaipu, Xinyu Li, & Liang Gao. (2019). A multi-objective discrete flower pollination algorithm for stochastic two-sided partial disassembly line balancing problem. Computers & Industrial Engineering. 130. 634–649. 104 indexed citations

19.

Wang, Kaipu, Xinyu Li, & Liang Gao. (2018). Modeling and optimization of multi-objective partial disassembly line balancing problem considering hazard and profit. Journal of Cleaner Production. 211. 115–133. 88 indexed citations

20.

Zhang, Zeqiang, Kaipu Wang, Zhu Li-xia, & Yi Wang. (2017). A Pareto improved artificial fish swarm algorithm for solving a multi-objective fuzzy disassembly line balancing problem. Expert Systems with Applications. 86. 165–176. 159 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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