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 Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing
Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, et al.
IEEE Access (2024) Vol. 12, pp. 5373-5392
Open Access | Times Cited: 14

Showing 14 citing articles:

Survey on Secure Scientific Workflow Scheduling in Cloud Environments
Hadeel Amjed Saeed, Sufyan Al-Janabi, Esam Taha Yassen, et al.
Future Internet (2025) Vol. 17, Iss. 2, pp. 51-51
Open Access

Optimizing multi-cloud architecture by employing an innovative workflow management model
Imran Ali, Anchal Gupta, Shilpi Kulshrestha, et al.
International Journal of Systems Assurance Engineering and Management (2025)
Closed Access

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

Deep reinforcement learning-based scheduling in distributed systems: a critical review
Zahra Jalali Khalil Abadi, N. Mansouri, Mohammad Masoud Javidi
Knowledge and Information Systems (2024) Vol. 66, Iss. 10, pp. 5709-5782
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: 2

Deep reinforcement learning task scheduling method based on server real-time performance
Jinming Wang, Shaobo Li, Xingxing Zhang, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2120-e2120
Open Access | Times Cited: 2

Adaptive Multi-Objective Resource Allocation for Edge-Cloud Workflow Optimization Using Deep Reinforcement Learning
Husam Lahza, B. R. Sreenivasa, Hassan Fareed M. Lahza, et al.
Modelling—International Open Access Journal of Modelling in Engineering Science (2024) Vol. 5, Iss. 3, pp. 1298-1313
Open Access | Times Cited: 1

SHAP-Guided GWO and ABC Feature Selection for Early Diabetes Prediction with XGBoost
Vibhu Kumar, S Koteswara Rao Yarlagadda, Neelima Pilli, et al.
(2024), pp. 430-434
Closed Access

Optimizing Cloud Task Scheduling Through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means
Sushant Jhingran, Md Ahateshaam, Balvinder Singh
(2024), pp. 95-119
Closed Access

An Energy and temperature aware Deep Reinforcement learning Workflow scheduler in Cloud Computing
Sudheer Mangalampalli, Ganesh Reddy Karri, Pradeep Reddy, et al.
IEEE Access (2024) Vol. 12, pp. 163424-163443
Open Access

Corrections to “Multi Objective Prioritized Workflow Scheduling Using Deep Reinforcement Based Learning in Cloud Computing”
Sudheer Mangalampalli, Syed Shakeel Hashmi, Amit Gupta, et al.
IEEE Access (2024) Vol. 12, pp. 162730-162730
Open Access

Optimizing makespan and resource utilization in cloud computing environment via evolutionary scheduling approach
Faten Khalid Karim, Sara Ghorashi, Salem Alkhalaf, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0311814-e0311814
Open Access

Introducing an improved deep reinforcement learning algorithm for task scheduling in cloud computing
Behnam Salari-Hamzehkhani, Mehdi Akbari, Faramarz Safi-Esfahani
The Journal of Supercomputing (2024) Vol. 81, Iss. 1
Closed Access

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