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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:

Deep Learning Models for Arrhythmia Detection in IoT Healthcare Applications
Mohamed Hammad, Ahmed A. Abd El‐Latif, Amir Hussain, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 108011-108011
Closed Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time
Md. Reazul Islam, Md. Mohsin Kabir, M. F. Mridha, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5204-5204
Open Access | Times Cited: 73
Exploring the synergies between collaborative robotics, digital twins, augmentation, and industry 5.0 for smart manufacturing: A state-of-the-art review
Muhammad Hamza Zafar, Even Falkenberg Langås, Filippo Sanfilippo
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102769-102769
Open Access | Times Cited: 51
Accurate Detection of Alzheimer’s Disease Using Lightweight Deep Learning Model on MRI Data
Ahmed A. Abd El‐Latif, Samia Allaoua Chelloug, Maali Alabdulhafith, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1216-1216
Open Access | Times Cited: 47
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 36
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM
Lucia Cascone, Saima Sadiq, Saleem Ullah, et al.
Big Data Research (2022) Vol. 31, pp. 100360-100360
Closed Access | Times Cited: 48
An Effective Machine Learning-Based Model for an Early Heart Disease Prediction
Pierre Claver Bizimana, Zuping Zhang, Muhammad Asim, et al.
BioMed Research International (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 19
Deep-Learning-Based Arrhythmia Detection Using ECG Signals: A Comparative Study and Performance Evaluation
Nitish Katal, Saurav Gupta, Pankaj Verma, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3605-3605
Open Access | Times Cited: 19
A New Approach of Transparent and Explainable Artificial Intelligence Technique for Patient-Specific ECG Beat Classification
Allam Jaya Prakash, Kiran Kumar Patro, Saunak Samantray, et al.
IEEE Sensors Letters (2023) Vol. 7, Iss. 5, pp. 1-4
Closed Access | Times Cited: 17
Diabetes prediction model using machine learning techniques
Sandip Kumar Singh Modak, Vijay Kumar Jha
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 38523-38549
Closed Access | Times Cited: 14
Semantic Web-Based AI System for Neuroimmune-Gastrointestinal Medical Image Processing
Xueyu Guan, Lizhong Guo, Xue‐Wen Qin, et al.
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-36
Open Access
CardioECGNet: A novel deep learning architecture for accurate and automated ECG signal classification across diverse cardiac conditions
Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El‐Latif
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107720-107720
Closed Access
Spam Detection and Classification Based on Ensemble Methods Using Natural Language Processing
Anupama Mishra, Priyanka Chaurasia, Varsha Arya, et al.
Advances in intelligent systems and computing (2025), pp. 181-188
Closed Access
Review on the Challenges and Future Directions of Deep Learning-Based Techniques for Advance Prediction of Cardiac Attack
Shrawan Kumar, Bharti Thakur
Communications in computer and information science (2025), pp. 172-189
Closed Access
WFT-Fati-Dec: Enhanced Fatigue Detection AI System Based on Wavelet Denoising and Fourier Transform
Ahmed Sedik, Mohamed Marey, Hala Mostafa
Applied Sciences (2023) Vol. 13, Iss. 5, pp. 2785-2785
Open Access | Times Cited: 12
Joint IoT/ML Platforms for Smart Societies and Environments: A Review on Multimodal Information-Based Learning for Safety and Security
Hani Attar
Journal of Data and Information Quality (2023) Vol. 15, Iss. 3, pp. 1-26
Closed Access | Times Cited: 11
Pre-Processing techniques and artificial intelligence algorithms for electrocardiogram (ECG) signals analysis: A comprehensive review
Muhammad Farhan Safdar, Robert Nowak, Piotr Pałka
Computers in Biology and Medicine (2023) Vol. 170, pp. 107908-107908
Open Access | Times Cited: 11
Enhanced ECG Signal features transformation to RGB matrix imaging for advanced deep learning classification of myocardial infarction and cardiac arrhythmia
Zakaria Khatar, Dounia Bentaleb
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Ensemble deep learning and EfficientNet for accurate diagnosis of diabetic retinopathy
Lakshay Arora, Sunil K. Singh, Sudhakar Kumar, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Analysis of cutting-edge technologies for enterprise information system and management
Brij B. Gupta, Akshat Gaurav, Prabin Kumar Panigrahi, et al.
Enterprise Information Systems (2023) Vol. 17, Iss. 11
Closed Access | Times Cited: 9
An Electrocardiogram Signal Classification Using a Hybrid Machine Learning and Deep Learning Approach
Faramarz Zabihi, Fatemeh Safara, Behrouz Ahadzadeh
Healthcare Analytics (2024) Vol. 6, pp. 100366-100366
Open Access | Times Cited: 3
Machine learning algorithms for smart and intelligent healthcare system in Society 5.0
Ikhlas Fuad Zamzami, Kuldeep Pathoee, Brij B. Gupta, et al.
International Journal of Intelligent Systems (2022) Vol. 37, Iss. 12, pp. 11742-11763
Open Access | Times Cited: 13
Efficient Lightweight Multimodel Deep Fusion Based on ECG for Arrhythmia Classification
Mohamed Hammad, Souham Meshoul, Piotr Dziwiński, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9347-9347
Open Access | Times Cited: 13
Advanced detection of cardiac arrhythmias using a three-stage CBD filter and a multi-scale approach in a combined deep learning model
Zakaria Khatar, Dounia Bentaleb, Omar Bouattane
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105551-105551
Closed Access | Times Cited: 7
Quantum-convolution-based hybrid neural network model for arrhythmia detection
Shiyue Zhang, Aijuan Wang, Lusi Li
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Closed Access | Times Cited: 2
Multi-modal IoT-based medical data processing for disease diagnosis using Heuristic-derived deep learning
S. Kayalvizhi, S. Nagarajan, J. Deepa, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104889-104889
Closed Access | Times Cited: 6
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