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 Comprehensive Survey on TinyML
Youssef Abadade, Anas Temouden, Hatim Bamoumen, et al.
IEEE Access (2023) Vol. 11, pp. 96892-96922
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

AI-powered biometrics for Internet of Things security: A review and future vision
Ali Ismail Awad, Aiswarya Babu, Ezedin Barka, et al.
Journal of Information Security and Applications (2024) Vol. 82, pp. 103748-103748
Closed Access | Times Cited: 28

A Machine Learning-Oriented Survey on Tiny Machine Learning
Luigi Capogrosso, Federico Cunico, Dong Seon Cheng, et al.
IEEE Access (2024) Vol. 12, pp. 23406-23426
Open Access | Times Cited: 16

Noninvasive Diabetes Detection through Human Breath Using TinyML-Powered E-Nose
Alberto Gudiño-Ochoa, J A García-Rodríguez, Raquel Ochoa-Ornelas, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1294-1294
Open Access | Times Cited: 10

Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge
Ali Dabbous, Riccardo Berta, Matteo Fresta, et al.
IEEE Open Journal of the Industrial Electronics Society (2024) Vol. 5, pp. 781-794
Open Access | Times Cited: 8

Tiny Machine Learning (TinyML) for Efficient Channel Selection in LoRaWAN
Muhammad Ali Lodhi, Mohammad S. Obaidat, Lei Wang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 30714-30724
Closed Access | Times Cited: 5

Machine Learning With Computer Networks: Techniques, Datasets, and Models
Haitham Afifi, Sabrina Pochaba, Andreas Boltres, et al.
IEEE Access (2024) Vol. 12, pp. 54673-54720
Open Access | Times Cited: 4

TinyIDS - An IoT Intrusion Detection System by Tiny Machine Learning
Pietro Fusco, Gennaro Pio Rimoli, Massimo Ficco
Lecture notes in computer science (2024), pp. 71-82
Closed Access | Times Cited: 4

Device-Level Energy Efficient Strategies in Machine Type Communications: Power, Processing, Sensing, and RF Perspectives
Unalido Ntabeni, Bokamoso Basutli, Hirley Alves, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5054-5087
Open Access | Times Cited: 4

Advancements in TinyML: Applications, Limitations, and Impact on IoT Devices
Abdussalam Elhanashi, Pierpaolo Dini, Sergio Saponara, et al.
Electronics (2024) Vol. 13, Iss. 17, pp. 3562-3562
Open Access | Times Cited: 4

Combinative model compression approach for enhancing 1D CNN efficiency for EIT-based Hand Gesture Recognition on IoT edge devices
Mahdi Mnif, Salwa Sahnoun, Yousef Saad, et al.
Internet of Things (2024), pp. 101403-101403
Open Access | Times Cited: 4

TinyML Acceleration with MAX78000
Ali Dabbous, Luca Lazzaroni, Francesco Bellotti, et al.
Lecture notes in electrical engineering (2025), pp. 468-474
Closed Access

Lightweight emotion analysis solution using tiny machine learning for portable devices
Maocheng Bai, Xiaosheng Yu
Computers & Electrical Engineering (2025) Vol. 123, pp. 110038-110038
Closed Access

TinyML and edge intelligence applications in cardiovascular disease: A survey
Ali Reza Keivanimehr, Mohammad Esmaeil Akbari
Computers in Biology and Medicine (2025) Vol. 186, pp. 109653-109653
Closed Access

Unlocking Sustainable and Scalable Sensing Systems at the Far Edge
Colleen Josephson
GetMobile Mobile Computing and Communications (2025) Vol. 28, Iss. 4, pp. 19-26
Closed Access

Microcontroller Based Network for Industrial Edge AI
Ander García, Javier Tardós, Wilmer Lainez
Communications in computer and information science (2025), pp. 475-485
Closed Access

Embedded AI and TinyML: A Practical Analysis of Workflows and Libraries
Ander García, Javier Tardós, Juan Luís Ferrando, et al.
Lecture notes in networks and systems (2025), pp. 356-365
Closed Access

High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems
Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, et al.
BioMedInformatics (2025) Vol. 5, Iss. 1, pp. 14-14
Open Access

Materiality and risk in the age of pervasive AI sensors
Mona Sloane, Emanuel Moss, Susan Kennedy, et al.
Nature Machine Intelligence (2025)
Closed Access

Optimising TinyML with quantization and distillation of transformer and mamba models for indoor localisation on edge devices
Thanaphon Suwannaphong, Ferdian Jovan, Ian Craddock, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Deep Learning for Non-Invasive Blood Pressure Monitoring: Model Performance and Quantization Trade-Offs
Anbu Valluvan Devadasan, Saptarshi Sengupta, Mohammad Masum
Electronics (2025) Vol. 14, Iss. 7, pp. 1300-1300
Open Access

Navigating the Challenges and Opportunities of Tiny Deep Learning and Tiny Machine Learning in Lung Cancer Identification
Yasir Salam Abdulghafoor, Auns Qusai Al-Neami, Ahmed Faeq Hussein
Al-Nahrain Journal for Engineering Sciences (2025) Vol. 28, Iss. 1, pp. 97-120
Open Access

An IoT-Based Multimodal Wearable Framework for Real-Time Epileptic Seizures Detection Using TinyML
Yassmine Ben Dhiab, Moez Hizem, Nader Karmous, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 70-80
Closed Access

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