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:

Multi-objective workflow scheduling based on genetic algorithm in cloud environment
Xuewen Xia, Huixian Qiu, Xing Xu, et al.
Information Sciences (2022) Vol. 606, pp. 38-59
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

A new boredom-aware dual-resource constrained flexible job shop scheduling problem using a two-stage multi-objective particle swarm optimization algorithm
Jiaxuan Shi, Mingzhou Chen, Yumin Ma, et al.
Information Sciences (2023) Vol. 643, pp. 119141-119141
Closed Access | Times Cited: 29

Cost-aware scheduling systems for real-time workflows in cloud: An approach based on Genetic Algorithm and Deep Reinforcement Learning
Jingwei Zhang, Long Cheng, Cong Liu, et al.
Expert Systems with Applications (2023) Vol. 234, pp. 120972-120972
Closed Access | Times Cited: 25

A neighborhood comprehensive learning particle swarm optimization for the vehicle routing problem with time windows
Qichao Wu, Xuewen Xia, Haojie Song, et al.
Swarm and Evolutionary Computation (2023) Vol. 84, pp. 101425-101425
Open Access | Times Cited: 24

Enhancement in performance of cloud computing task scheduling using optimization strategies
Ramandeep Sandhu, Mohammad Faiz, Harpreet Kaur, et al.
Cluster Computing (2024) Vol. 27, Iss. 5, pp. 6265-6288
Closed Access | Times Cited: 8

Decomposition-based multi-objective evolutionary algorithm for virtual machine and task joint scheduling of cloud computing in data space
Xianpeng Wang, Hangyu Lou, Zhiming Dong, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101230-101230
Closed Access | Times Cited: 16

A dynamic multipopulation genetic algorithm for multiobjective workflow scheduling based on the longest common sequence
Huixian Qiu, Xuewen Xia, Yuanxiang Li, et al.
Swarm and Evolutionary Computation (2023) Vol. 78, pp. 101291-101291
Closed Access | Times Cited: 16

Intelligent architecture and platforms for private edge cloud systems: A review
Xiyuan Xu, S. R. Zang, Muhammad Bilal, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 457-471
Open Access | Times Cited: 6

D3QN-based secure scheduling of microservice workflows in cloud environments
Saiqin Long, Jianfeng Yang, C. V. Guru Rao, et al.
Computer Networks (2025), pp. 111227-111227
Closed Access

Efficient, economical and energy-saving multi-workflow scheduling in hybrid cloud
Zaixing Sun, Hejiao Huang, Zhikai Li, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120401-120401
Closed Access | Times Cited: 14

A bidirectional workflow scheduling approach with feedback mechanism in clouds
Mingjie Fan, Lingjuan Ye, Xingquan Zuo, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123494-123494
Closed Access | Times Cited: 4

QoS-aware resource management in cloud computing based on fuzzy meta-heuristic method
Guiling Long, Shaorong Wang, Cong Lv
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access

Energy-efficient task scheduling with binary random faults in cloud computing environments
Lei Jin, Jie Yuan, Dequn Zhou, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101877-101877
Closed Access

Regional express delivery network planning: A location-routing model and two-tier adaptive GA
Wenfei Li, Xin Yue, Guoqing Yang
Information Sciences (2025), pp. 122133-122133
Closed Access

IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment
Navid Khaledian, Keyhan Khamforoosh, Sadoon Azizi, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 37, pp. 100834-100834
Open Access | Times Cited: 20

ELECT: Energy-efficient intelligent edge–cloud collaboration for remote IoT services
Jingling Yuan, Xiao Hua, Zhishu Shen, et al.
Future Generation Computer Systems (2023) Vol. 147, pp. 179-194
Closed Access | Times Cited: 11

Optimal releasing strategy of enterprise software firms facing the competition from cloud providers
Yangyang Sun, Zhu-Jun Wang, Muhammet Deveci, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121264-121264
Closed Access | Times Cited: 10

Adaptive multiple selection strategy for multi-objective particle swarm optimization
Honggui Han, Linlin Zhang, A. Yinga, et al.
Information Sciences (2022) Vol. 624, pp. 235-251
Closed Access | Times Cited: 18

Fault Location of Distribution Network Based on Back Propagation Neural Network Optimization Algorithm
Chuan Zhou, Suying Gui, Yan Liu, et al.
Processes (2023) Vol. 11, Iss. 7, pp. 1947-1947
Open Access | Times Cited: 8

Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing
Yuqi Zhao, Bing Li, Jian Wang, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109983-109983
Closed Access | Times Cited: 12

Applications of Genetic Algorithm with Integrated Machine Learning
Arman Raj, Avneesh Kumar, Vandana Sharma, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 7

Knowledge-driven adaptive evolutionary multi-objective scheduling algorithm for cloud workflows
Hui Zhang, Xiaojuan Zheng
Applied Soft Computing (2023) Vol. 146, pp. 110655-110655
Closed Access | Times Cited: 7

Multi-objective optimization-based workflow scheduling for applications with data locality and deadline constraints in geo-distributed clouds
Dongkuo Wu, Xingwei Wang, Xueyi Wang, et al.
Future Generation Computer Systems (2024) Vol. 157, pp. 485-498
Closed Access | Times Cited: 2

Multi-Tree Genetic Programming Hyper-Heuristic for Dynamic Flexible Workflow Scheduling in Multi-Clouds
Zaixing Sun, Yi Mei, Fangfang Zhang, et al.
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 5, pp. 2687-2703
Closed Access | Times Cited: 2

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