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:

Embedded Machine Learning Using Microcontrollers in Wearable and Ambulatory Systems for Health and Care Applications: A Review
Maha S. Diab, Esther Rodriguez–Villegas
IEEE Access (2022) Vol. 10, pp. 98450-98474
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

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

Edge AI for Internet of Medical Things: A literature review
Atslands R. da Rocha, Matheus Monteiro, César Mattos, et al.
Computers & Electrical Engineering (2024) Vol. 116, pp. 109202-109202
Closed Access | Times Cited: 14

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

LLM-Based Edge Intelligence: A Comprehensive Survey on Architectures, Applications, Security and Trustworthiness
Othmane Friha, Mohamed Amine Ferrag, Burak Kantarcı, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5799-5856
Open Access | Times Cited: 9

An evaluation methodology to determine the actual limitations of a TinyML-based solution
Giovanni Delnevo, Silvia Mirri, Catia Prandi, et al.
Internet of Things (2023) Vol. 22, pp. 100729-100729
Open Access | Times Cited: 13

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

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

Design of a Microprocessors and Microcontrollers Laboratory Course Addressing Complex Engineering Problems and Activities
Fahim Hafiz, Md. Jahidul Hoq Emon, Md. Anwar Hossain, et al.
Computer Applications in Engineering Education (2025) Vol. 33, Iss. 2
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

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

Tiny deep learning model for insect segmentation and counting on resource-constrained devices
Amin Kargar, Dimitrios Zorbas, Michael Gaffney, et al.
Computers and Electronics in Agriculture (2025) Vol. 236, pp. 110378-110378
Open Access

State of health estimation embedded with hardware accelerator based on long short-term memory combined with Bayesian optimization considering extracted health indicator in charging conditions
Sangwoo Cho, Dong‐Ho Han, Jaewon Kim, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111897-111897
Closed Access | Times Cited: 3

Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems
Julian Moosmann, Hanna Müller, Nicky Zimmerman, et al.
IEEE Access (2024) Vol. 12, pp. 75093-75107
Open Access | Times Cited: 3

TinyML applications and use cases for healthcare
Mamta Bhamare, Pradnya Kulkarni, Rashmi Rane, et al.
Elsevier eBooks (2024), pp. 331-353
Closed Access | Times Cited: 2

Gait Stride Length Estimation Using Embedded Machine Learning
Joeri R. Verbiest, Bruno Bonnechère, Wim Saeys, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7166-7166
Open Access | Times Cited: 4

Derivative Method to Detect Sleep and Awake States through Heart Rate Variability Analysis Using Machine Learning Algorithms
Fabrice Vaussenat, Abhiroop Bhattacharya, Philippe Boudreau, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4317-4317
Open Access | Times Cited: 1

Empowering Healthcare: TinyML for Precise Lung Disease Classification
Youssef Abadade, Nabil Benamar, Miloud Bagaa, et al.
Future Internet (2024) Vol. 16, Iss. 11, pp. 391-391
Open Access | Times Cited: 1

Experimental Investigation of Acoustic Features to Optimize Intelligibility in Cochlear Implants
Fergal Henry, Ashkan Parsi, Martin Glavin, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7553-7553
Open Access | Times Cited: 3

Anomaly Detection From Low-Dimensional Latent Manifolds With Home Environmental Sensors
Francisco-Manuel Melgarejo-Meseguer, Andrés L. Bleda, Sergio Eduardo Abbenante, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 13411-13423
Closed Access | Times Cited: 3

Green IoT Event Detection for Carbon-Emission Monitoring in Sensor Networks
Cormac Fay, Brian Corcoran, Dermot Diamond
Sensors (2023) Vol. 24, Iss. 1, pp. 162-162
Open Access | Times Cited: 2

Research on the Design of Intelligent Trace Monitoring Vehicle Using Image Sensor
Caijun Liu, Hong Sik Min, Xikai Yue
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 237-240
Closed Access

Emerging application use cases and future directions
Sheetal N. Ghorpade, Sachin Chougule
Elsevier eBooks (2024), pp. 453-482
Closed Access

Absence Seizure Detection Based on Embedded Machine Learning
Pimchanok Chatchavalvong, Apiwat Lek-uthai, Krisnachai Chomtho, et al.
(2024), pp. 1-6
Closed Access

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