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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:

A latency-aware and energy-efficient computation offloading in mobile fog computing: a hidden Markov model-based approach
Fatemeh Jazayeri, Ali Shahidinejad, Mostafa Ghobaei‐Arani
The Journal of Supercomputing (2020) Vol. 77, Iss. 5, pp. 4887-4916
Closed Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges
Abhishek Hazra, Pradeep Rana, Mainak Adhikari, et al.
Computer Science Review (2023) Vol. 48, pp. 100549-100549
Closed Access | Times Cited: 141
An autonomous computation offloading strategy in Mobile Edge Computing: A deep learning-based hybrid approach
Ali Shakarami, Ali Shahidinejad, Mostafa Ghobaei‐Arani
Journal of Network and Computer Applications (2021) Vol. 178, pp. 102974-102974
Closed Access | Times Cited: 107
Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach
Fuhong Song, Huanlai Xing, Xinhan Wang, et al.
Future Generation Computer Systems (2021) Vol. 128, pp. 333-348
Closed Access | Times Cited: 57
Task offloading strategies for mobile edge computing: A survey
Shi Dong, Junxiao Tang, Khushnood Abbas, et al.
Computer Networks (2024), pp. 110791-110791
Closed Access | Times Cited: 9
AmazonAICloud: proactive resource allocation using amazon chronos based time series model for sustainable cloud computing
Han Wang, Katie Mathews, Muhammed Golec, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access | Times Cited: 1
Incentivizing task offloading in IoT: A distributed auctions-based DRL approach
Soumeya Demil, Mohammed Riyadh Abdmeziem
Internet of Things (2025) Vol. 30, pp. 101493-101493
Closed Access
A Lightweight Trajectory Aware Application Placement in IoT-Fog-Cloud Environment
Ankur Sharma, Veni Thangaraj
Journal of Grid Computing (2025) Vol. 23, Iss. 1
Closed Access
Fog-based architecture and efficient task offloading methodology in IoT-based applications for smart irrigation system
Sakine Sohrabi, Mehdi Sakhaei-nia, Mohamad Nassiri, et al.
Computing (2025) Vol. 107, Iss. 3
Closed Access
Securing IIoT systems against DDoS attacks with adaptive moving target defense strategies
Swati, Sangita Roy, Jawar Singh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
EcoTaskSched: A hybrid machine learning approach for energy-efficient task scheduling in IoT-based Fog-Cloud environments
Asfandyar Khan, Faizan Ullah, Dilawar Shah, et al.
Research Square (Research Square) (2025)
Closed Access
Attention-augmented multi-agent collaboration for Smart Industrial Internet of Things task offloading
Yihang Wang, Shengchao Su, Yiwang Wang
Internet of Things (2025), pp. 101572-101572
Closed Access
Performance Evaluation of Hybrid Cloud-Fog Computing Architectures in Smart Home IoT Environments: A Comparative Simulation Study Across Multiple Tools
Ruchika, Rajender Singh Chhillar
Journal of Grid Computing (2025) Vol. 23, Iss. 2
Closed Access
QQLAOA: task scheduling with multi-objectives quantum mutation and Q-learning based arithmetic optimizer algorithm in cloud data centers
Alireza Mahjoub, Madjid Khalilian, Javad Mohammadzadeh
Computing (2025) Vol. 107, Iss. 4
Closed Access
EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments
Asfandyar Khan, Faizan Ullah, Dilawar Shah, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Probabilistic Approach to Load Balancing in Multi-Cloud Environments via Machine Learning and Optimization Algorithms
Seyed Salar Sefati, Ahmed M. Nor, Bahman Arasteh, et al.
Journal of Grid Computing (2025) Vol. 23, Iss. 2
Open Access
Sparse mobile crowd sensing in low-resource computing environments: An active spatio-temporal fracture approach
Yayong Shi, Haiyan Zhu, Hui Sun
Computer Networks (2025), pp. 111201-111201
Closed Access
A Review of the Current Task Offloading Algorithms, Strategies and Approach in Edge Computing Systems
Abednego Acheampong, Yiwen Zhang, Xiaolong Xu, et al.
Computer Modeling in Engineering & Sciences (2022) Vol. 134, Iss. 1, pp. 35-88
Open Access | Times Cited: 18
Context‐aware computation offloading for mobile edge computing
Fariba Farahbakhsh, Ali Shahidinejad, Mostafa Ghobaei‐Arani
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 14, Iss. 5, pp. 5123-5135
Closed Access | Times Cited: 22
TODO: Task Offloading Decision Optimizer for the efficient provision of offloading schemes
S. Chen, Xingwang Wang, Ya‐Feng Sun
Pervasive and Mobile Computing (2024) Vol. 99, pp. 101892-101892
Closed Access | Times Cited: 2
Delay-sensitive task offloading and efficient resource allocation in intelligent edge–cloud environments: A discretized differential evolution-based approach
B. Bandyopadhyay, Pratyay Kuila, Mahesh Chandra Govil, et al.
Applied Soft Computing (2024) Vol. 159, pp. 111637-111637
Closed Access | Times Cited: 2
Two-timescale joint service caching and resource allocation for task offloading with edge-cloud cooperation
Yafei Li, Huiqiang Wang, Jiayu Sun, et al.
Computer Networks (2024) Vol. 254, pp. 110771-110771
Closed Access | Times Cited: 2
Efficient task migration and resource allocation in cloud–edge collaboration: A DRL approach with learnable masking
Yang Wang, Juan Chen, Zongling Wu, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 107-122
Closed Access | Times Cited: 2
TRAP: task-resource adaptive pairing for efficient scheduling in fog computing
Navjeet Kaur, Ashok Kumar, Rajesh Kumar
Cluster Computing (2022) Vol. 25, Iss. 6, pp. 4257-4273
Closed Access | Times Cited: 12
Distributed application execution in fog computing: A taxonomy, challenges and future directions
Maria Ashraf, Muhammad Shiraz, Almas Abbasi, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 34, Iss. 7, pp. 3887-3909
Open Access | Times Cited: 11
Queue congestion prediction for large-scale high performance computing systems using a hidden Markov model
Ju-Won Park, Min-Woo Kwon, Taeyoung Hong
The Journal of Supercomputing (2022) Vol. 78, Iss. 10, pp. 12202-12223
Open Access | Times Cited: 10
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