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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:

Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions
Guangyao Zhou, Wenhong Tian, Rajkumar Buyya, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 5
Open Access | Times Cited: 22

Showing 22 citing articles:

Multi-workflow dynamic scheduling in product design: A generalizable approach based on meta-reinforcement learning
Zhen Chen, Lin Zhang, Wentong Cai, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 334-346
Closed Access | Times Cited: 8
Energy-Efficient Dynamic Workflow Scheduling in Cloud Environments Using Deep Learning
Sunera Chandrasiri, Dulani Meedeniya
Sensors (2025) Vol. 25, Iss. 5, pp. 1428-1428
Open Access | Times Cited: 1
A Deep Reinforcement Learning Framework for Control of Robotic Manipulators in Simulated Environments
Carlos Calderón, Roger Sarango, Darwin Castillo, et al.
IEEE Access (2024) Vol. 12, pp. 103133-103161
Open Access | Times Cited: 6
A resource optimization scheduling model and algorithm for heterogeneous computing clusters based on GNN and RL
Zhen Zhang, X. Chen, Kun Liu, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 16, pp. 24138-24172
Closed Access | Times Cited: 5
Survey of energy-efficient fog computing: Techniques and recent advances
Mohammed H. AlSharif, Abu Jahid, Raju Kannadasan, et al.
Energy Reports (2025) Vol. 13, pp. 1739-1763
Closed Access
Research on the optimal scheduling strategy of cloud computing resources based on genetic algorithm
Yanan Cui, Yanhua Hu
Applied Mathematics and Nonlinear Sciences (2025) Vol. 10, Iss. 1
Open Access
Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap
Hussain Kahil, Shilpi Sharma, Petri Välisuo, et al.
Applied Energy (2025) Vol. 389, pp. 125734-125734
Open Access
A Review of Smart Grid Evolution and Reinforcement Learning: Applications, Challenges and Future Directions
Na Xu, Zhuo Tang, Chenyi Si, et al.
Energies (2025) Vol. 18, Iss. 7, pp. 1837-1837
Open Access
AI-enhanced modelling of queueing and scheduling systems in cloud computing
Himani Chaudhary, Geetanjali Sharma, D. K. Nishad, et al.
Deleted Journal (2025) Vol. 7, Iss. 4
Open Access
AI-driven job scheduling in cloud computing: a comprehensive review
Yousef Sanjalawe, Salam Al-E’mari, F.M.A. Salam, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 7
Open Access
The mapping trick: leveraging RoboSoccer obstacle avoidance and navigation for advanced task scheduling solutions in foggy IoE ecosystems
Seyed Omid Azarkasb, Seyed Hossein Khasteh
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
A Survey on recent advances in reinforcement learning for intelligent investment decision-making optimization
Feng Wang, S. X. Li, Songjie Niu, et al.
Expert Systems with Applications (2025) Vol. 282, pp. 127540-127540
Closed Access
Dual Connectivity for Seamless Mobility in Software Defined Content Delivery Networks (SD-CDN)
Ali El Kamel, Habib Youssef
Lecture notes on data engineering and communications technologies (2025), pp. 328-339
Closed Access
EETS: An energy-efficient task scheduler in cloud computing based on improved DQN algorithm
Huanhuan Hou, Azlan Ismail
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102177-102177
Open Access | Times Cited: 2
SpotDAG: An RL-Based Algorithm for DAG Workflow Scheduling in Heterogeneous Cloud Environments
Liduo Lin, Li Pan, Shijun Liu
IEEE Transactions on Services Computing (2024) Vol. 17, Iss. 5, pp. 2904-2917
Closed Access | Times Cited: 1
A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments
Amanda Jayanetti, Saman Halgamuge, Rajkumar Buyya
(2024), pp. 74-82
Closed Access | Times Cited: 1
Multi objective Ant Colony Optimization Technique for Task Scheduling in Cloud Computing
S V Hemanth, D. Kirubha, Sheri Ramchandra Reddy, et al.
(2024), pp. 830-835
Closed Access
Multi-objective application placement in fog computing using graph neural network-based reinforcement learning
Isaac Lera, Carlos Guerrero
The Journal of Supercomputing (2024) Vol. 80, Iss. 19, pp. 27073-27094
Open Access
RAP-Optimizer: Resource-Aware Predictive Model for Cost Optimization of Cloud AIaaS Applications
Kaushik Sathupadi, Ramya Avula, Arunkumar Velayutham, et al.
(2024)
Open Access
Cloud-native Workflow Scheduling using a Hybrid Priority Rule, Dynamic Resource Allocation, and Dynamic Task Partition
Jungeun Shin, Diana Arroyo, Asser Tantawi, et al.
(2024), pp. 830-846
Closed Access
RAP-Optimizer: Resource-Aware Predictive Model for Cost Optimization of Cloud AIaaS Applications
Kaushik Sathupadi, Ramya Avula, Arunkumar Velayutham, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4462-4462
Open Access
Trends, Approaches, and Gaps in Scientific Workflow Scheduling: A Systematic Review
Aurelio Vivas, Andrei Tchernykh, Harold Castro
IEEE Access (2024) Vol. 12, pp. 182203-182231
Open Access
Dynamic Service Placement in Edge Computing: A Comparative Evaluation of Nature-Inspired Algorithms
Aqeel Kazmi, Alessandro Staffolani, Tianhao Zhang, et al.
IEEE Access (2024) Vol. 13, pp. 2653-2670
Open Access
Efficient Resource Management for Real-time AI Systems in the Cloud using Reinforcement Learning
Vinay Mallikarjunaradhya, Madhusudhan Dasari Sreeramulu, Abdul Sajid Mohammed, et al.
(2024), pp. 1654-1659
Closed Access
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