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:

Improved adaptive immune genetic algorithm for optimal QoS-aware service composition selection in cloud manufacturing
Yi Que, Wei Zhong, Hai-Lin Chen, et al.
The International Journal of Advanced Manufacturing Technology (2018) Vol. 96, Iss. 9-12, pp. 4455-4465
Closed Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Digital twin-driven service model and optimal allocation of manufacturing resources in shared manufacturing
Gang Wang, Geng Zhang, Xin Guo, et al.
Journal of Manufacturing Systems (2021) Vol. 59, pp. 165-179
Closed Access | Times Cited: 113

Logistics-involved QoS-aware service composition in cloud manufacturing with deep reinforcement learning
Huagang Liang, Xiaoqian Wen, Yongkui Liu, et al.
Robotics and Computer-Integrated Manufacturing (2020) Vol. 67, pp. 101991-101991
Closed Access | Times Cited: 111

MEMS-based thermal conductivity sensor for hydrogen gas detection in automotive applications
Dominik Berndt, Josef Muggli, Franz Wittwer, et al.
Sensors and Actuators A Physical (2019) Vol. 305, pp. 111670-111670
Closed Access | Times Cited: 76

A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm
Zhengchao Liu, Lei Wang, Xixing Li, et al.
Journal of Manufacturing Systems (2021) Vol. 58, pp. 348-364
Closed Access | Times Cited: 68

Logistics-involved service composition in a dynamic cloud manufacturing environment: A DDPG-based approach
Yongkui Liu, Huagang Liang, Yingying Xiao, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 76, pp. 102323-102323
Closed Access | Times Cited: 50

A three-tier programming model for service composition and optimal selection in cloud manufacturing
Ming K. Lim, Weiqing Xiong, Yankai Wang
Computers & Industrial Engineering (2022) Vol. 167, pp. 108006-108006
Open Access | Times Cited: 37

Cloud–edge collaboration task scheduling in cloud manufacturing: An attention-based deep reinforcement learning approach
Zhen Chen, Zhang Li, Xiaohan Wang, et al.
Computers & Industrial Engineering (2023) Vol. 177, pp. 109053-109053
Closed Access | Times Cited: 31

Sequence generation for multi-task scheduling in cloud manufacturing with deep reinforcement learning
Yaoyao Ping, Yongkui Liu, Zhang Li, et al.
Journal of Manufacturing Systems (2023) Vol. 67, pp. 315-337
Closed Access | Times Cited: 24

Consensus aware manufacturing service collaboration optimization under blockchain based Industrial Internet platform
Yongping Zhang, Pengyuan Zhang, Fei Tao, et al.
Computers & Industrial Engineering (2019) Vol. 135, pp. 1025-1035
Open Access | Times Cited: 73

A novel model for optimisation of logistics and manufacturing operation service composition in Cloud manufacturing system focusing on cloud-entropy
Ehsan Aghamohammadzadeh, M Rezaei Malek, Omid Fatahi Valilai
International Journal of Production Research (2019) Vol. 58, Iss. 7, pp. 1987-2015
Closed Access | Times Cited: 70

Exploring the state-of-the-art service composition approaches in cloud manufacturing systems to enhance upcoming techniques
Vahideh Hayyolalam, Behrouz Pourghebleh, Ali Asghar Pourhaji Kazem, et al.
The International Journal of Advanced Manufacturing Technology (2019) Vol. 105, Iss. 1-4, pp. 471-498
Closed Access | Times Cited: 54

Single‐objective service composition methods in cloud manufacturing systems: Recent techniques, classification, and future trends
Vahideh Hayyolalam, Behrouz Pourghebleh, Mohammad Reza Chehrehzad, et al.
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 5
Closed Access | Times Cited: 53

Cloud Manufacturing Resource Allocation Considering Task Occupancy
Junjie Zhu, Ziquan Yu, Ting Wang, et al.
Lecture notes in electrical engineering (2025), pp. 169-178
Closed Access

QoS-aware cloud service composition: A systematic mapping study from the perspective of computational intelligence
Qiping She, Xiaochao Wei, Guihua Nie, et al.
Expert Systems with Applications (2019) Vol. 138, pp. 112804-112804
Closed Access | Times Cited: 53

Adaptive multi-objective service composition reconfiguration approach considering dynamic practical constraints in cloud manufacturing
Yankai Wang, Shilong Wang, Song Gao, et al.
Knowledge-Based Systems (2021) Vol. 234, pp. 107607-107607
Closed Access | Times Cited: 34

A many-objective memetic algorithm for correlation-aware service composition in cloud manufacturing
Fei Wang, Yuanjun Laili, Zhang Li
International Journal of Production Research (2020) Vol. 59, Iss. 17, pp. 5179-5197
Closed Access | Times Cited: 34

An effective adaptive adjustment method for service composition exception handling in cloud manufacturing
Yankai Wang, Shilong Wang, Bo Yang, et al.
Journal of Intelligent Manufacturing (2020) Vol. 33, Iss. 3, pp. 735-751
Closed Access | Times Cited: 33

Cloud services selection: A systematic review and future research directions
Neha Thakur, Avtar Singh, Amrit Lal Sangal
Computer Science Review (2022) Vol. 46, pp. 100514-100514
Closed Access | Times Cited: 20

Cloud-edge collaboration composition and scheduling for flexible manufacturing service with a multi-population co-evolutionary algorithm
Weimin Jing, Yonghui Zhang, Youling Chen, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 90, pp. 102814-102814
Closed Access | Times Cited: 3

Multi-perspective collaborative scheduling using extended genetic algorithm with interval-valued intuitionistic fuzzy entropy weight method
Wenyu Zhang, Jiepin Ding, Yan Wang, et al.
Journal of Manufacturing Systems (2019) Vol. 53, pp. 249-260
Closed Access | Times Cited: 33

Advances on QoS‐aware web service selection and composition with nature‐inspired computing
Xinchao Zhao, Rui Li, Xingquan Zuo
CAAI Transactions on Intelligence Technology (2019) Vol. 4, Iss. 3, pp. 159-174
Open Access | Times Cited: 32

Optimization of Microservice Composition Based on Artificial Immune Algorithm Considering Fuzziness and User Preference
Ming Gao, Mingxia Chen, An Liu, et al.
IEEE Access (2020) Vol. 8, pp. 26385-26404
Open Access | Times Cited: 31

Cloud manufacturing in China: a review
Changcheng Wan, Hualin Zheng, Liang Guo, et al.
International Journal of Computer Integrated Manufacturing (2020) Vol. 33, Iss. 3, pp. 229-251
Closed Access | Times Cited: 29

Architecture model proposal of innovative intelligent manufacturing in the chemical industry based on multi-scale integration and key technologies
Ge He, Yagu Dang, Li Zhou, et al.
Computers & Chemical Engineering (2020) Vol. 141, pp. 106967-106967
Closed Access | Times Cited: 29

A two-layer social network model for manufacturing service composition based on synergy: A case study on an aircraft structural part
Huagang Tong, Jianjun Zhu
Robotics and Computer-Integrated Manufacturing (2020) Vol. 65, pp. 101933-101933
Closed Access | Times Cited: 27

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