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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Flexible job shop scheduling problem under Industry 5.0: A survey on human reintegration, environmental consideration and resilience improvement
Candice Destouet, Houda Tlahig, Belgacem Bettayeb, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 155-173
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values
Morteza Ghobakhloo, Mohammad Iranmanesh, Ming‐Lang Tseng, et al.
Journal of Industrial and Production Engineering (2023) Vol. 40, Iss. 6, pp. 432-447
Open Access | Times Cited: 114
Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap
Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138023-138023
Open Access | Times Cited: 103
Machine-fixture-pallet resources constrained flexible job shop scheduling considering loading and unloading times under pallet automation system
Yulu Zhou, Shichang Du, Molin Liu, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 143-158
Closed Access | Times Cited: 62
A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem
Hongtao Tang, Xiao Yu, Wei Zhang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121723-121723
Closed Access | Times Cited: 51
Reviewing and Integrating AEC Practices into Industry 6.0: Strategies for Smart and Sustainable Future-Built Environments
Amjad Almusaed, İbrahim Yitmen, Asaad Almssad
Sustainability (2023) Vol. 15, Iss. 18, pp. 13464-13464
Open Access | Times Cited: 48
A hybrid genetic tabu search algorithm for distributed flexible job shop scheduling problems
Jin Xie, Xinyu Li, Liang Gao, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 82-94
Closed Access | Times Cited: 42
Deep reinforcement learning for dynamic flexible job shop scheduling problem considering variable processing times
Lu Zhang, Yi Feng, Qinge Xiao, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 257-273
Closed Access | Times Cited: 42
Evaluating the Interrelationships of Industrial 5.0 Development Factors Using an Integration Approach of Fermatean Fuzzy Logic
Huai-Wei Lo, H. S. Chan, Jhe-Wei Lin, et al.
Journal of Operations Intelligence (2024) Vol. 2, Iss. 1, pp. 95-113
Open Access | Times Cited: 31
Beyond Industry 4.0: a systematic review of Industry 5.0 technologies and implications for social, environmental and economic sustainability
Morteza Ghobakhloo, Mohammad Iranmanesh, Masood Fathi, et al.
Asia-Pacific Journal of Business Administration (2024)
Open Access | Times Cited: 23
Flexible job shop scheduling with stochastic machine breakdowns by an improved tuna swarm optimization algorithm
Chengshuai Fan, Wentao Wang, Jun Tian
Journal of Manufacturing Systems (2024) Vol. 74, pp. 180-197
Closed Access | Times Cited: 16
Multi-objective fitness landscape-based estimation of distribution algorithm for distributed heterogeneous flexible job shop scheduling problem
Fuqing Zhao, Mengjie Li, Ningning Zhu, et al.
Applied Soft Computing (2025), pp. 112780-112780
Closed Access | Times Cited: 2
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
Yaping Fu, Yifeng Wang, Kaizhou Gao, et al.
Computers & Electrical Engineering (2024) Vol. 120, pp. 109780-109780
Closed Access | Times Cited: 15
A Framework for Sustainable Manufacturing: Integrating Industry 4.0 Technologies with Industry 5.0 Values
Alejandro Manuel Martín-Gómez, Alejandro Agote-Garrido, Juan Ramón Lama-Ruiz
Sustainability (2024) Vol. 16, Iss. 4, pp. 1364-1364
Open Access | Times Cited: 14
Industry 5.0 and sustainability: An overview of emerging trends and challenges for a green future
Rame Rame, Purwanto Purwanto, Sudarno Sudarno
Innovation and Green Development (2024) Vol. 3, Iss. 4, pp. 100173-100173
Open Access | Times Cited: 11
A reinforcement learning enhanced memetic algorithm for multi-objective flexible job shop scheduling toward Industry 5.0
Xiao Chang, Xiaoliang Jia, Jiahao Ren
International Journal of Production Research (2024), pp. 1-29
Closed Access | Times Cited: 10
An improved memetic algorithm for multi-objective resource-constrained flexible job shop inverse scheduling problem: An application for machining workshop
Shupeng Wei, Hongtao Tang, Xixing Li, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 264-290
Closed Access | Times Cited: 9
Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions
Y. Supriya, Dasari Bhulakshmi, Sweta Bhattacharya, et al.
IEEE Access (2024) Vol. 12, pp. 81938-81967
Open Access | Times Cited: 8
Solving multi-objective energy-saving flexible job shop scheduling problem by hybrid search genetic algorithm
L. Hao, Zhiyuan Zou, Xu Liang
Computers & Industrial Engineering (2025), pp. 110829-110829
Closed Access | Times Cited: 1
Quantum particle swarm optimization with chaotic encoding schemes for flexible job-shop scheduling problem
Yuanxing Xu, Deguang Wang, Mengjian Zhang, et al.
Swarm and Evolutionary Computation (2025) Vol. 93, pp. 101836-101836
Closed Access | Times Cited: 1
A human-centric order release method based on workload control in high-variety make-to-order shops towards Industry 5.0
Lin Ma, Ray Y. Zhong, Mingze Yuan, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102946-102946
Closed Access | Times Cited: 1
Human-robot collaborative disassembly in Industry 5.0: A systematic literature review and future research agenda
Gang Yuan, Xiaojun Liu, Qiu Xiao-li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 199-216
Closed Access | Times Cited: 1
A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems
Saman Nessari, Reza Tavakkoli‐Moghaddam, Hessam Bakhshi-Khaniki, et al.
Decision Analytics Journal (2024) Vol. 11, pp. 100485-100485
Open Access | Times Cited: 6
Energy-aware cloud manufacturing service selection and scheduling optimization
Gaoxian Peng, Yiping Wen, Jianxun Liu, et al.
International Journal of Computer Integrated Manufacturing (2024), pp. 1-26
Closed Access | Times Cited: 5
Lean and industry 4.0 principles toward industry 5.0: a conceptual framework and empirical insights from fashion industry
Virginia Fani, Ilaria Bucci, Mónica Rossi, et al.
Journal of Manufacturing Technology Management (2024) Vol. 35, Iss. 9, pp. 122-141
Closed Access | Times Cited: 5
Incorporating uncertain human behavior in production scheduling for enhanced productivity in Industry 5.0 context
Nourddine Bouaziz, Belgacem Bettayeb, M’hammed Sahnoun, et al.
International Journal of Production Economics (2024) Vol. 274, pp. 109311-109311
Closed Access | Times Cited: 4
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