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:

Task and resource allocation in the internet of things based on an improved version of the moth-flame optimization algorithm
Masoud Nematollahi, Ali Ghaffari, Abbas Mirzaei
Cluster Computing (2023) Vol. 27, Iss. 2, pp. 1775-1797
Closed Access | Times Cited: 14

Showing 14 citing articles:

Securing internet of things using machine and deep learning methods: a survey
Ali Ghaffari, Nasim Jelodari, Samira pouralish, et al.
Cluster Computing (2024) Vol. 27, Iss. 7, pp. 9065-9089
Open Access | Times Cited: 7

The Intelligent Libraries: Innovation for a Sustainable Knowledge System in the Fifth (5th) Industrial Revolution
Ganiyu Ojo Adigun, Yusuf Ayodeji Ajani, Rexwhite Tega Enakrire
Libri (2024) Vol. 74, Iss. 3, pp. 211-223
Open Access | Times Cited: 6

Enhanced decision-making in healthcare cloud-edge networks using deep reinforcement and lion optimization algorithm
S.S. Saranya, Palagati Anusha, S. Chandragandhi, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 105963-105963
Closed Access | Times Cited: 5

ETFC: Energy-efficient and deadline-aware task scheduling in fog computing
Amir Pakmehr, Majid Gholipour, Esmaeil Zeinali
Sustainable Computing Informatics and Systems (2024) Vol. 43, pp. 100988-100988
Closed Access | Times Cited: 5

Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects
Deafallah Alsadie
PeerJ Computer Science (2024) Vol. 10, pp. e2128-e2128
Open Access | Times Cited: 5

Optimizing Task Offloading with Metaheuristic Algorithms Across Cloud, Fog, and Edge Computing Networks: A Comprehensive Survey and State-of-the-Art Schemes
Amir M. Rahmani, Amir Haider, Parisa Khoshvaght, et al.
Sustainable Computing Informatics and Systems (2025), pp. 101080-101080
Closed Access

Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, et al.
Journal of Cloud Computing Advances Systems and Applications (2025) Vol. 14, Iss. 1
Open Access

A Comparative Study of Optimization Based Task Scheduling in Cloud Computing Environments Using Machine Learning
Surinder Kaur, Jaspreet Singh, Vishal Bharti
(2024), pp. 731-740
Closed Access | Times Cited: 1

Optimized Hybrid Metaheuristic Model for MapReduce Task Scheduling Applications - A Novel Framework
Vishal Kumar, Sumit Kushwaha
(2024), pp. 513-519
Closed Access | Times Cited: 1

A QoS-Aware Resource Allocation Method for Internet of Things using Ant Colony Optimization Algorithm and Tabu Search
Shuling YIN, Renping YU
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 9
Open Access | Times Cited: 3

Whale Optimization Algorithm for Energy-Efficient Task Allocation in the Internet of Things
Shan Yang, Renping YU, Jin Xin
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 10
Open Access | Times Cited: 2

Optimized task offloading for federated learning based on β-skeleton graph in edge computing
M. Hosein Fallah, Pedram Salehpour
Telecommunication Systems (2024)
Closed Access

DITRA: an efficient event-driven multi-objective optimization algorithm for bandwidth allocation in IoT environments
Mehrin Rouhifar, Alireza Hedayati, Vahe Aghazarian
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 5143-5163
Closed Access

Optimizing data regeneration and storage with data dependency for cloud scientific workflow systems
Lei Fan, Lin Zhou, Meijuan Wang
Expert Systems with Applications (2023) Vol. 238, pp. 121984-121984
Closed Access | Times Cited: 1

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