Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge network
Bassem Sellami, Akram Hakiri, Sadok Ben Yahia
Future Generation Computer Systems (2022) Vol. 137, pp. 363-379
Closed Access | Times Cited: 48

Showing 26-50 of 48 citing articles:

AI and Blockchain Assisted Framework for Offloading and Resource Allocation in Fog Computing
Mohammad Aknan, Maheshwari Prasad Singh, Rajeev Arya
Journal of Grid Computing (2023) Vol. 21, Iss. 4
Closed Access | Times Cited: 8
Digital twin-assisted flexible slice admission control for 5G core network: A deep reinforcement learning approach
Jiadai Wang, Jingyi Li, Jiajia Liu
Future Generation Computer Systems (2023) Vol. 153, pp. 467-476
Closed Access | Times Cited: 5
TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation
Mohammad Rostami, Salman Goli
IEEE Access (2023) Vol. 11, pp. 97037-97056
Open Access | Times Cited: 4
Energy-Efficient Computation Offloading Based on Multiagent Deep Reinforcement Learning for Industrial Internet of Things Systems
Samira Chouikhi, Moez Esseghir, Leïla Merghem‐Boulahia
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 7, pp. 12228-12239
Closed Access | Times Cited: 4
Recommendation model based 5G network cloud data with AI technique and IoMT applications
Zhang Kexing, He Jiang
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-7
Closed Access | Times Cited: 1
Joint energy efficiency and network optimization for integrated blockchain-SDN-based internet of things networks
Akram Hakiri, Bassem Sellami, Sadok Ben Yahia
Future Generation Computer Systems (2024) Vol. 163, pp. 107519-107519
Closed Access | Times Cited: 1
The improvement of wavefront cellular learning automata for task scheduling in fog computing
Sommayeh Jafarali Jassbi, Sahar Teymori
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 8
Closed Access | Times Cited: 2
Energy Efficiency of IoT-Edge Computing in Smart Grid Using Deep Reinforcement Learning
Ahmad Fikri bin Dahari, Fauzun Abdullah Asuhaimi, Muhammad Akmal bin Jafri, et al.
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET) (2023)
Closed Access | Times Cited: 2
Light-HIDRA: Scalable and decentralized resource orchestration in Fog-IoT environments
Carlos Núñez‐Gómez, Martijn de Vos, Jérémie Decouchant, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 76-91
Open Access
Leveraging Edge Computing for Video Data Streaming in UAV-Based Emergency Response Systems
Mekhla Sarkar, Prasan Kumar Sahoo
Sensors (2024) Vol. 24, Iss. 15, pp. 5076-5076
Open Access
Relationship between resource scheduling and distributed learning in IoT edge computing - An insight into complementary aspects, existing research and future directions
Harsha Varun Marisetty, Nida Fatima, Manik Gupta, et al.
Internet of Things (2024), pp. 101375-101375
Closed Access
Energy-Aware Task Offloading in Massive IoT Edge Network Using Optimized Convolutional Neural Network
Shoukath Cherukat, J. Benita
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 11, pp. 424-437
Closed Access
Leveraging transition exploratory bonus for efficient exploration in Hard-Transiting reinforcement learning problems
Shangdong Yang, Huihui Wang, Shaokang Dong, et al.
Future Generation Computer Systems (2023) Vol. 145, pp. 442-453
Closed Access | Times Cited: 1
Hybrid Pelican and Archimedes optimization algorithm fostered energy aware task scheduling in heterogeneous virtualized cloud computing
S. Soundararajan, S. Vimal, D. Karunkuzhali, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 12
Closed Access | Times Cited: 1
Capuchin Search Algorithm With Deep Learning-Based Data Edge Verification for Blockchain-Assisted IoT Environment
Khaled H. Alyoubi, Adil O. Khadidos, Abdulrhman M. Alshareef, et al.
IEEE Access (2023) Vol. 12, pp. 351-360
Open Access | Times Cited: 1
SDN-Enabled IoT to Combat the DDoS Attacks
Pooja Kumari, Ankit Kumar Jain
Lecture notes in networks and systems (2023), pp. 23-33
Closed Access
Research on Price-Based Autonomous Group Robot Resource Allocation Strategy in Emergency Scenarios
Sun Yi, Xiao Zhang
Research Square (Research Square) (2023)
Open Access
A comprehensive survey on computation offloading using reinforcement learning
Junyi Liang, Xuehao Qi, Jinmei Yang, et al.
(2023), pp. 5-5
Closed Access
Experience Replay Method with Attention for Multi-agent Reinforcement Learning
Jiashan Gao, Jinyu Xu, Xingjian Wang, et al.
Lecture notes in mechanical engineering (2023), pp. 615-621
Closed Access
A Task Scheduling Approach for Optimizing 5G Edge Network Performance Through Cloud-Edge Collaborative Computing
M. Shanthi, Vaishali Rao K. P., K N Sudhakar, et al.
(2023), pp. 1-8
Closed Access
A Comprehensive Research on Deep Learning Based Routing Optimization Algorithms in Software Defined Networks
Gaurav Kumar, Girisha G. S, N Shamanth
(2023), pp. 1-5
Closed Access
CD-RNN: An Implementation of Cascaded Dilated RNN for Secured Routing Mechanism in Software-Defined Network with Block Chain Technology over IoT
Prabhjot Singh Manocha, Nitin Jain
(2023), pp. 1-5
Closed Access
An innovation development of short range communication protocol for a reliable device discovery in 5G communication network
Pooja Verma, Sandeep Jain
(2022), pp. 710-715
Closed Access
Previous Page - Page 2

Scroll to top