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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:

A hybrid approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system
Javad Rezaeian, Nikbakhsh Javadian, Reza Tavakkoli‐Moghaddam, et al.
Applied Soft Computing (2011) Vol. 11, Iss. 6, pp. 4195-4202
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems
Cristina Renzi, Francesco Leali, Marco Cavazzuti, et al.
The International Journal of Advanced Manufacturing Technology (2014) Vol. 72, Iss. 1-4, pp. 403-418
Closed Access | Times Cited: 133
Modeling and prediction of machining quality in CNC turning process using intelligent hybrid decision making tools
C. Ahilan, S. Kumanan, N. Sivakumaran, et al.
Applied Soft Computing (2012) Vol. 13, Iss. 3, pp. 1543-1551
Closed Access | Times Cited: 92
Flexibility in manufacturing system design: A review of recent approaches from Operations Research
Christian Weckenborg, Patrick Schumacher, Christian Thies, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 2, pp. 413-441
Open Access | Times Cited: 18
Integrated process planning and scheduling in networked manufacturing systems for I4.0: a review and framework proposal
Leonilde Varela, Goran D. Putnik, Vijaya Kumar Manupati, et al.
Wireless Networks (2019) Vol. 27, Iss. 3, pp. 1587-1599
Open Access | Times Cited: 52
Simultaneous solving of balancing and sequencing problems with station-dependent assembly times for mixed-model assembly lines
Hadi Mosadegh, M. Zandieh, S.M.T. Fatemi Ghomi
Applied Soft Computing (2011) Vol. 12, Iss. 4, pp. 1359-1370
Closed Access | Times Cited: 60
Cellular manufacturing design 1996–2021: a review and introduction to applications of Industry 4.0
Roohollah YounesSinaki, Azadeh Sadeghi, Hadi Mosadegh, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 16, pp. 5585-5636
Closed Access | Times Cited: 18
Application of visual clustering properties of self organizing map in machine–part cell formation
Manojit Chattopadhyay, Pranab K. Dan, Sitanath Mazumdar
Applied Soft Computing (2011) Vol. 12, Iss. 2, pp. 600-610
Open Access | Times Cited: 47
A data-driven two-stage maintenance framework for degradation prediction in semiconductor manufacturing industries
Ming Luo, Heng-Chao Yan, Bin Hu, et al.
Computers & Industrial Engineering (2015) Vol. 85, pp. 414-422
Closed Access | Times Cited: 37
A vibration damping optimization algorithm for solving a new multi-objective dynamic cell formation problem with workers training
Esmaeil Mehdizadeh, Seyed Omid Daei Niaki, Vahid Rahimi
Computers & Industrial Engineering (2016) Vol. 101, pp. 35-52
Closed Access | Times Cited: 27
A hybrid multi-objective approach based on the genetic algorithm and neural network to design an incremental cellular manufacturing system
Javad Rezaeian Zeidi, Nikbakhsh Javadian, Reza Tavakkoli‐Moghaddam, et al.
Computers & Industrial Engineering (2013) Vol. 66, Iss. 4, pp. 1004-1014
Closed Access | Times Cited: 27
An adjustable grouping genetic algorithm for the design of cellular manufacturing system integrating structural and operational parameters
N. Jawahar, R. Subhaa
Journal of Manufacturing Systems (2017) Vol. 44, pp. 115-142
Closed Access | Times Cited: 27
Automatic clustering for generalised cell formation using a hybrid particle swarm optimisation
Yu‐Cheng Kao, Chien-Chih Chen
International Journal of Production Research (2013) Vol. 52, Iss. 12, pp. 3466-3484
Closed Access | Times Cited: 26
Multi-objective simulation optimization for uncertain resource assignment and job sequence in automated flexible job shop
Farbod Amiri, Babak Shirazi, Ali Tajdin
Applied Soft Computing (2018) Vol. 75, pp. 190-202
Closed Access | Times Cited: 23
An efficient simulation–neural network–genetic algorithm for flexible flow shops with sequence-dependent setup times, job deterioration and learning effects
A. Azadeh, Asefeh Hasani Goodarzi, Mansoureh Hasannia Kolaee, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. 9, pp. 5327-5341
Closed Access | Times Cited: 20
Recent development of cellular manufacturing systems
Pawan Kumar Arora, Abid Haleem, M.K. Singh
Sadhana (2013) Vol. 38, Iss. 3, pp. 421-428
Open Access | Times Cited: 19
Genetic Algorithm Coupled with the Neural Network for Fatigue Properties of Welding Joints Predicting
Nan Zhou, Jixiong Zhang, Feng Ju, et al.
Journal of Computers (2012) Vol. 7, Iss. 8
Closed Access | Times Cited: 13
Hybrid Genetic Algorithm for Machine-Component Cell Formation
Murugaiyan Pachayappan, Ramasamy Panneerselvam
Intelligent Information Management (2015) Vol. 07, Iss. 03, pp. 107-122
Open Access | Times Cited: 10
Stochastic cell loading to minimize nT subject to maximum acceptable probability of tardiness
Gökhan Eğilmez, Gürsel A. Süer
Journal of Manufacturing Systems (2015) Vol. 35, pp. 136-143
Closed Access | Times Cited: 10
Optimization of Worker Assignment in Dynamic Cellular Manufacturing System Using Genetic Algorithm
S. Prabhakar Karthikeyan, M. Saravanan, M. Rajkumar
Journal of Advanced Manufacturing Systems (2016) Vol. 15, Iss. 01, pp. 35-42
Closed Access | Times Cited: 10
Analytical Model and Computing Optimization of a Compliant Gripper for the Assembly System of Mini Direct-Current Motor
Ngoc Le Chau, Nhat Ho, Ngoc Thoai Tran, et al.
International Journal of Ambient Computing and Intelligence (2021) Vol. 12, Iss. 1, pp. 1-28
Closed Access | Times Cited: 10
A Hybrid GRASP Algorithm for an Integrated Production Planning and a Group Layout Design in a Dynamic Cellular Manufacturing System
Hanane Khamlichi, Kenza Oufaska, Tarik Zouadi, et al.
IEEE Access (2020) Vol. 8, pp. 162809-162818
Open Access | Times Cited: 8
Dynamic virtual cellular reconfiguration for capacity planning of market-oriented production systems
Zhengmin Zhang, Zailin Guan, Weikang Fang, et al.
Journal of Industrial and Management Optimization (2022) Vol. 19, Iss. 3, pp. 1611-1635
Open Access | Times Cited: 5
Optimization of Inter Cellular Movement of Parts in Cellular Manufacturing System Using Genetic Algorithm
Siva Prasad Darla, C.D. Naiju, Polu Vidya Sagar, et al.
Research Journal of Applied Sciences Engineering and Technology (2014) Vol. 7, Iss. 1, pp. 165-168
Open Access | Times Cited: 6
A Comparison of a Standard Genetic Algorithm with a Hybrid Genetic Algorithm Applied to Cell Formation Problem
Waqas Javaid, Adnan Tariq, Iftikhar Hussain
Advances in Mechanical Engineering (2014) Vol. 6, pp. 301751-301751
Open Access | Times Cited: 5
Arrangement of Machines Under Spatial Constraint by Using a Novel Algorithm
Ming-Liang Li
IEEE Access (2020) Vol. 8, pp. 144565-144574
Open Access | Times Cited: 4
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