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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:

Fog Computing Based on Machine Learning: A Review
Fady Esmat Fathel Samann, Adnan Mohsin Abdulazeez, Shavan Askar
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 12, pp. 21-21
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions
Shahnawaz Ahmad, Iman Shakeel, Shabana Mehfuz, et al.
Computer Science Review (2023) Vol. 49, pp. 100568-100568
Closed Access | Times Cited: 69
Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy
Dinesh Soni, Neetesh Kumar
Journal of Network and Computer Applications (2022) Vol. 205, pp. 103419-103419
Closed Access | Times Cited: 68
Recent Advances in Evolving Computing Paradigms: Cloud, Edge, and Fog Technologies
A Angel Nancy, D. Ravindran, P. M. Durai Raj Vincent, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 196-196
Open Access | Times Cited: 79
Resource allocation in Fog–Cloud Environments: State of the art
Mohammad Zolghadri, Parvaneh Asghari, Seyed Ebrahim Dashti, et al.
Journal of Network and Computer Applications (2024) Vol. 227, pp. 103891-103891
Closed Access | Times Cited: 9
A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions
Deafallah Alsadie
IEEE Access (2024) Vol. 12, pp. 118007-118059
Open Access | Times Cited: 7
Machine learning-based solutions for resource management in fog computing
Muhammad Fahimullah, Shohreh Ahvar, Mihir Agarwal, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23019-23045
Closed Access | Times Cited: 16
Brain Stroke Lesion Segmentation Using Computed Tomography Images based on Modified U-Net Model with ResNet Blocks
Azhar Tursynova, Батырхан Омаров, Айвар Сахипов, et al.
International Journal of Online and Biomedical Engineering (iJOE) (2022) Vol. 18, Iss. 13, pp. 97-112
Open Access | Times Cited: 23
Cloud of Things and fog computing in Iraq: Potential applications and sustainability
Mustafa Sahib Shareef, Yaqeen S. Mezaal, Nora H. Sultan, et al.
Heritage and Sustainable Development ISSN 2712-0554 (2023) Vol. 5, Iss. 2, pp. 339-350
Open Access | Times Cited: 13
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
Machine Learning-Based Resource Management in Fog Computing: A Systematic Literature Review
Fahim Ullah Khan, Ibrar Ali Shah, Sadaqat Jan, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 687-687
Open Access
Fusion of Blockchain and Industry 4.0: A Bibliometric Analysis and Detailed Review
Pallawi B. Sangode
Operations Research Forum (2025) Vol. 6, Iss. 1
Closed Access
Comparative Analysis of Machine Learning and Deep Learning Models for Bitcoin Price Prediction
Omar Ahmed Al-Zakhali, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
A New Strategy for Reducing Latency with Deep Learning in Fog Computing Environment
Birane Koundoul, Youssou Kassé, Fatoumata Baldé, et al.
Lecture notes in computer science (2024), pp. 70-84
Closed Access | Times Cited: 1
Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies
Ashraful Alam, Anik Das, Md. Shahriar Tasjid, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 17, pp. 141-141
Open Access | Times Cited: 10
Classification of Edge Applications using Decision Tree, K-NN, & SVM Classifier
Mohd Aqib, Dinesh Kumar, Sarsij Tripathi
(2022), pp. 01-06
Closed Access | Times Cited: 7
Security analysis of fog computing environment for ensuring the security and privacy of information
Kamal Kumar Gola, Shikha Arya, Gulista Khan, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 10
Open Access | Times Cited: 2
Smart Resource Scheduling Model in Fog Computing
Baydaa Hassan Husain, Shavan Askar
(2022) Vol. 111, pp. 96-101
Closed Access | Times Cited: 3
CLR: Cloud Linear Regression Environment as a More Effective Resource-Task Scheduling Environment (State-of-the-Art)
Mohammed E. Seno, Omer K. Jasim Mohammad, Ban N. Dhannoon
International Journal of Interactive Mobile Technologies (iJIM) (2022) Vol. 16, Iss. 22, pp. 157-175
Open Access | Times Cited: 3
Fog Computing in 5G Mobile Networks: A Review
Fady Esmat Fathel Samann, Siddeeq Y. Ameen, Shavan Askar
(2022), pp. 142-147
Closed Access | Times Cited: 3
Blockchain enabled Deep Learning Architectures to Secure IoT and Edge Computing in Supply Chain Management for Industry 4.0
Jitendra Kumar Samriya, Amit Kumar, Ashok Bhansali, et al.
Research Square (Research Square) (2024)
Open Access
Low Latency Consistency based Protocol for Fog Computing Systems using CoAP with Machine Learning
Surbhi Jha, Divya Bajpai Tripathy
(2023), pp. 1-6
Closed Access | Times Cited: 1
I Міжнародна наукова конференція «Інтелектуальний ресурс сьогодення: наукові задачі, розвиток та запитання»

(2023)
Open Access | Times Cited: 1
An intelligent machine learning-enabled cattle reclining risk mitigation technique using surveillance videos
Munish Saini, Harpreet Singh, Eshan Sengupta, et al.
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 2029-2047
Closed Access | Times Cited: 1
A Novel Genetic and Intelligent Scheme for Service Trading in IoT Fog Networks
Ayoub Alsarhan, Bashar Alkhawaldeh, Atalla Fahed Al-Serhan, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2022) Vol. 16, Iss. 10, pp. 191-209
Open Access | Times Cited: 1
Intelligent Network Edge with Distributed SDN for the Future 6G Network
Stephen B. Weinstein, Yuan‐Yao Lou, T.R. Hsing
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS) (2021), pp. 261-265
Closed Access | Times Cited: 1
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