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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:

Edge Machine Learning for AI-Enabled IoT Devices: A Review
Massimo Merenda, Carlo Porcaro, Demetrio Iero
Sensors (2020) Vol. 20, Iss. 9, pp. 2533-2533
Open Access | Times Cited: 341

Showing 1-25 of 341 citing articles:

AI for next generation computing: Emerging trends and future directions
Sukhpal Singh Gill, Minxian Xu, Carlo Ottaviani, et al.
Internet of Things (2022) Vol. 19, pp. 100514-100514
Open Access | Times Cited: 441
Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case
Paula Fraga‐Lamas, Sérgio Ivan Lopes, Tiago M. Fernández‐Caramés
Sensors (2021) Vol. 21, Iss. 17, pp. 5745-5745
Open Access | Times Cited: 234
Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach
Md. Abdur Rahman, M. Shamim Hossain, Mohammad Saiful Islam, et al.
IEEE Access (2020) Vol. 8, pp. 205071-205087
Open Access | Times Cited: 208
Machine Learning for Healthcare Wearable Devices: The Big Picture
Farida Sabry, Tamer Eltaras, Wadha Labda, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-25
Open Access | Times Cited: 175
iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments
Redowan Mahmud, Samodha Pallewatta, Mohammad Goudarzi, et al.
Journal of Systems and Software (2022) Vol. 190, pp. 111351-111351
Open Access | Times Cited: 142
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song, et al.
Internet of Things (2022) Vol. 21, pp. 100674-100674
Open Access | Times Cited: 136
Artificial Intelligence-Based Sensors for Next Generation IoT Applications: A Review
Subhas Chandra Mukhopadhyay, Sumarga Kumar Sah Tyagi, Nagender Kumar Suryadevara, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 22, pp. 24920-24932
Closed Access | Times Cited: 134
Towards edge computing in intelligent manufacturing: Past, present and future
Garima Nain, K. K. Pattanaik, G.K. Sharma
Journal of Manufacturing Systems (2022) Vol. 62, pp. 588-611
Closed Access | Times Cited: 130
Machine learning methods for sign language recognition: A critical review and analysis
Ibrahim Adeyanju, OLUWASEYI OLAWALE BELLO, Mutiu Adesina Adegboye
Intelligent Systems with Applications (2021) Vol. 12, pp. 200056-200056
Open Access | Times Cited: 125
Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
Siliang Lu, Jingfeng Lu, Kang An, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 13, pp. 11093-11116
Closed Access | Times Cited: 107
TinyML: Enabling of Inference Deep Learning Models on Ultra-Low-Power IoT Edge Devices for AI Applications
Norah N. Alajlan, Dina M. Ibrahim
Micromachines (2022) Vol. 13, Iss. 6, pp. 851-851
Open Access | Times Cited: 92
TinyML for Ultra-Low Power AI and Large Scale IoT Deployments: A Systematic Review
Nikolaos Schizas, Aristeidis Karras, Christos Karras, et al.
Future Internet (2022) Vol. 14, Iss. 12, pp. 363-363
Open Access | Times Cited: 88
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse, Ishan Karunanayake, Nadeem Ahmed
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-30
Open Access | Times Cited: 53
Communication and computation efficiency in Federated Learning: A survey
Omair Rashed Abdulwareth Almanifi, Chee‐Onn Chow, Mau‐Luen Tham, et al.
Internet of Things (2023) Vol. 22, pp. 100742-100742
Closed Access | Times Cited: 50
Fight Fire with Fire: Detecting Forest Fires with Embedded Machine Learning Models Dealing with Audio and Images on Low Power IoT Devices
Giacomo Peruzzi, Alessandro Pozzebon, Mattia Van Der Meer
Sensors (2023) Vol. 23, Iss. 2, pp. 783-783
Open Access | Times Cited: 42
A Survey on Optimization Techniques for Edge Artificial Intelligence (AI)
Chellammal Surianarayanan, John Jeyasekaran Lawrence, Pethuru Raj Chelliah, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1279-1279
Open Access | Times Cited: 41
REVIEWING THE TRANSFORMATIONAL IMPACT OF EDGE COMPUTING ON REAL-TIME DATA PROCESSING AND ANALYTICS
Oluwole Temidayo Modupe, Aanuoluwapo Ayodeji Otitoola, Oluwatayo Jacob Oladapo, et al.
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 693-702
Open Access | Times Cited: 29
A Comprehensive Survey of Deep Learning Approaches in Image Processing
Μαρία Τρίγκα, Ηλίας Δρίτσας
Sensors (2025) Vol. 25, Iss. 2, pp. 531-531
Open Access | Times Cited: 1
Evaluation and Selection of Hardware and AI Models for Edge Applications: A Method and A Case Study on UAVs
Müge Canpolat Şahin, Ayça Tarhan
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1026-1026
Open Access | Times Cited: 1
A Survey on Deep Learning for Ultra-Reliable and Low-Latency Communications Challenges on 6G Wireless Systems
Adeeb Salh, Lukman Audah‏, Nor Shahida Mohd Shah, et al.
IEEE Access (2021) Vol. 9, pp. 55098-55131
Open Access | Times Cited: 78
Leveraging IoT-Aware Technologies and AI Techniques for Real-Time Critical Healthcare Applications
Angela Tafadzwa Shumba, Teodoro Montanaro, Ilaria Sergi, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7675-7675
Open Access | Times Cited: 49
Recent Advances in Artificial Intelligence for Wireless Internet of Things and Cyber–Physical Systems: A Comprehensive Survey
Babajide A. Salau, Atul Rawal, Danda B. Rawat
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 15, pp. 12916-12930
Open Access | Times Cited: 43
Hardware-Assisted Machine Learning in Resource-Constrained IoT Environments for Security: Review and Future Prospective
George Kornaros
IEEE Access (2022) Vol. 10, pp. 58603-58622
Open Access | Times Cited: 43
Artificial Intelligence in the IoT Era: A Review of Edge AI Hardware and Software
Tuomo Sipola, Janne Alatalo, Tero Kokkonen, et al.
(2022), pp. 320-331
Open Access | Times Cited: 42
Communication-efficient distributed AI strategies for the IoT edge
Christine Mwase, Yi Jin, Tomi Westerlund, et al.
Future Generation Computer Systems (2022) Vol. 131, pp. 292-308
Closed Access | Times Cited: 39
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