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:

Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects
Jithin S. Sunny, C. Pawan K. Patro, Khushi Karnani, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 756-756
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Wearable activity trackers–advanced technology or advanced marketing?
Ren‐Jay Shei, Ian G. Holder, Alicia S. Oumsang, et al.
European Journal of Applied Physiology (2022) Vol. 122, Iss. 9, pp. 1975-1990
Open Access | Times Cited: 83

Smart Consumer Wearables as Digital Diagnostic Tools: A Review
Shweta Chakrabarti, Nupur Biswas, L. Jones, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2110-2110
Open Access | Times Cited: 37

Advances in Machine‐Learning Enhanced Nanosensors: From Cloud Artificial Intelligence Toward Future Edge Computing at Chip Level
Zixuan Zhang, Xinmiao Liu, Hong Zhou, et al.
Small Structures (2023) Vol. 5, Iss. 4
Open Access | Times Cited: 27

XAI-IoT: An Explainable AI Framework for Enhancing Anomaly Detection in IoT Systems
Anna Namrita Gummadi, Jerry C. Napier, Mustafa Abdallah
IEEE Access (2024) Vol. 12, pp. 71024-71054
Open Access | Times Cited: 8

Data Preprocessing Techniques for Artificial Intelligence (AI)/Machine Learning (ML)-Readiness: Systematic Review of Wearable Sensor Data in Cancer Care (Preprint)
Bengie L. Ortiz, Vibhuti Gupta, Rajnish Kumar, et al.
JMIR mhealth and uhealth (2024) Vol. 12, pp. e59587-e59587
Open Access | Times Cited: 6

A systematic evaluation of white-box explainable AI methods for anomaly detection in IoT systems
Anna Namrita Gummadi, Osvaldo Arreche, Mustafa Abdallah
Internet of Things (2025) Vol. 30, pp. 101505-101505
Closed Access

Detecting anomalies in smart wearables for hypertension: a deep learning mechanism
C. Kishor Kumar Reddy, Vijaya Sindhoori Kaza, R. Madana Mohana, et al.
Frontiers in Public Health (2025) Vol. 12
Open Access

Smart Health Practices: Strategies to Improve Healthcare Efficiency through Digital Twin Technology
Md. Mahmud Hasan, Ridwan Mustofa, Niamat Ullah Ibne Hossain, et al.
Smart Health (2025), pp. 100541-100541
Closed Access

Smart wearables addressing gait disorders: A review
Nupur Biswas, Shweta Chakrabarti, L. Jones, et al.
Materials Today Communications (2023) Vol. 35, pp. 106250-106250
Closed Access | Times Cited: 10

A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection
Alessio Staffini, Thomas Svensson, Ung‐il Chung, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 683-683
Open Access | Times Cited: 10

Aligned bodies, united hearts: embodied emotional dynamics of an Islamic ritual
Mohammadamin Saraei, Alexandra Paxton, Dimitris Xygalatas
Philosophical Transactions of the Royal Society B Biological Sciences (2024) Vol. 379, Iss. 1911
Open Access | Times Cited: 3

Hyperparameter optimization for cardiovascular disease data-driven prognostic system
Jayson Saputra, Cindy Lawrencya, Jecky Mitra Saini, et al.
Visual Computing for Industry Biomedicine and Art (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 8

Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research
Artem A. Trotsyuk, Quinn Waeiss, Raina Talwar Bhatia, et al.
Nature Machine Intelligence (2024)
Closed Access | Times Cited: 2

Matching science to reality: how to deploy a participant-driven digital brain health platform
Ileana De Anda‐Duran, Phillip H Hwang, Zachary Popp, et al.
Frontiers in Dementia (2023) Vol. 2
Open Access | Times Cited: 6

Design and Implementation of an Atrial Fibrillation Detection Algorithm on the ARM Cortex-M4 Microcontroller
Marek Żyliński, Amir Nassibi, Danilo P. Mandic
Sensors (2023) Vol. 23, Iss. 17, pp. 7521-7521
Open Access | Times Cited: 6

NextGen Training for Medical First Responders: Advancing Mass-Casualty Incident Preparedness through Mixed Reality Technology
Olivia Zechner, Daniel García Guirao, Helmut Schrom-Feiertag, et al.
Multimodal Technologies and Interaction (2023) Vol. 7, Iss. 12, pp. 113-113
Open Access | Times Cited: 6

Co-Design, Development, and Evaluation of a Health Monitoring Tool Using Smartwatch Data: A Proof-of-Concept Study
Ruhi Kiran Bajaj, Rebecca M. Meiring, Fernando Beltrán
Future Internet (2023) Vol. 15, Iss. 3, pp. 111-111
Open Access | Times Cited: 5

Empowering Safety by Embracing IoT for Leak Detection Excellence
Neha Bhati, Ronak Duggar, Abeer Saber
Advances in civil and industrial engineering book series (2023), pp. 231-251
Closed Access | Times Cited: 5

Health 4.0, Prevention, and Health Promotion in Companies: A Systematic Literature Review
Sergio Arturo Domínguez-Miranda, Román Rodríguez-Aguilar
EAI/Springer Innovations in Communication and Computing (2023), pp. 217-245
Closed Access | Times Cited: 4

Imputation of missing microclimate data of coffee-pine agroforestry with machine learning
Heru Nurwarsito, Didik Suprayogo, Setyawan P. Sakti, et al.
International Journal of Advances in Intelligent Informatics (2024) Vol. 10, Iss. 1, pp. 27-27
Open Access | Times Cited: 1

Exploring the Potentials of Wearable Technologies in Managing Vestibular Hypofunction
Ameer Mohammed, Shutong Li, Xiao Liu
Bioengineering (2024) Vol. 11, Iss. 7, pp. 641-641
Open Access | Times Cited: 1

Missing data imputation techniques for wireless continuous vital signs monitoring
M. van Rossum, Pedro M. Alves da Silva, Ying Wang, et al.
Journal of Clinical Monitoring and Computing (2023) Vol. 37, Iss. 5, pp. 1387-1400
Open Access | Times Cited: 4

Use of consumer wearables to monitor and predict pain in patients with sickle cell disease
Caroline Vuong, Utkarsh Kumar, Rebecca Stojancic, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 3

Interpretable Single-dimension Outlier Detection (ISOD): An Unsupervised Outlier Detection Method Based on Quantiles and Skewness Coefficients
Yuehua Huang, Wenfen Liu, Song Li, et al.
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 136-136
Open Access | Times Cited: 3

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