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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:

Dynamic Multi-Objective Workflow Scheduling for Cloud Computing Based on Evolutionary Algorithms
Goshgar Ismayilov, Haluk Rahmi Topcuoglu
(2018), pp. 103-108
Closed Access | Times Cited: 16

Showing 16 citing articles:

Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing
Goshgar Ismayilov, Haluk Rahmi Topcuoglu
Future Generation Computer Systems (2019) Vol. 102, pp. 307-322
Closed Access | Times Cited: 165
Multi-Objective Task and Workflow Scheduling Approaches in Cloud Computing: a Comprehensive Review
Mehdi Hosseinzadeh, Marwan Yassin Ghafour, Hawkar Kamaran Hama, et al.
Journal of Grid Computing (2020) Vol. 18, Iss. 3, pp. 327-356
Closed Access | Times Cited: 75
Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks
Zhenzhong Wang, Haokai Hong, Kai Ye, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 34, Iss. 8, pp. 4631-4645
Open Access | Times Cited: 33
Dynamic multi-objective optimization algorithm based decomposition and preference
Yaru Hu, Jinhua Zheng, Juan Zou, et al.
Information Sciences (2021) Vol. 571, pp. 175-190
Open Access | Times Cited: 24
Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism
Zahra Aliniya, Seyed Hossein Khasteh
Applied Soft Computing (2024) Vol. 155, pp. 111398-111398
Closed Access | Times Cited: 3
AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review
Navid Khaledian, Marcus Voelp, Sadoon Azizi, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 10265-10298
Closed Access | Times Cited: 3
Transfer Learning Based Multi-Objective Evolutionary Algorithm for Dynamic Workflow Scheduling in the Cloud
Huamao Xie, Ding Ding, Lihong Zhao, et al.
IEEE Transactions on Cloud Computing (2024) Vol. 12, Iss. 4, pp. 1200-1217
Closed Access | Times Cited: 3
Solving large-scale multiobjective optimization via the probabilistic prediction model
Haokai Hong, Kai Ye, Min Jiang, et al.
Memetic Computing (2022) Vol. 14, Iss. 2, pp. 165-177
Closed Access | Times Cited: 14
A feedback-based prediction strategy for dynamic multi-objective evolutionary optimization
Zhengping Liang, Ya Zou, Shunxiang Zheng, et al.
Expert Systems with Applications (2021) Vol. 172, pp. 114594-114594
Closed Access | Times Cited: 19
Combining Key-Points-Based Transfer Learning and Hybrid Prediction Strategies for Dynamic Multi-Objective Optimization
Yong Wang, Kuichao Li, Gai‐Ge Wang
Mathematics (2022) Vol. 10, Iss. 12, pp. 2117-2117
Open Access | Times Cited: 9
Adaptive Cloud Bundle Provisioning and Multi-Workflow Scheduling via Coalition Reinforcement Learning
Xiaogang Wang, Jian Cao, Rajkumar Buyya
IEEE Transactions on Computers (2022) Vol. 72, Iss. 4, pp. 1041-1054
Closed Access | Times Cited: 9
A novel cloud workflow scheduling algorithm based on stable matching game theory
Zhaohong Jia, Lei Pan, Xiao Liu, et al.
The Journal of Supercomputing (2021) Vol. 77, Iss. 10, pp. 11597-11624
Closed Access | Times Cited: 11
A dynamic multi-objective optimization method based on classification strategies
Fei Wu, Wanliang Wang, Jiacheng Chen, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
A Knowledge Guided Multi-Population Evolutionary Algorithm for Dynamic Workflow Scheduling Problem
Jingyuan Xu, Jiajian Yang, P. Li, et al.
(2024), pp. 21-28
Closed Access
Dynamic Multi-Workflow Scheduling: A Comparative Analysis of Real-time Data
Sugandha Rathi, Deepti Mehrotra, Renuka Nagpal, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-6
Closed Access
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
Zhenzhong Wang, Haokai Hong, Kai Ye, et al.
arXiv (Cornell University) (2021)
Open Access
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