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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:

Automated arrhythmia classification based on a combination network of CNN and LSTM
Chen Chen, Zhengchun Hua, Ruiqi Zhang, et al.
Biomedical Signal Processing and Control (2019) Vol. 57, pp. 101819-101819
Closed Access | Times Cited: 219

Showing 1-25 of 219 citing articles:

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: 79
Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review
Qiao Xiao, Khuan Lee, Siti Aisah Mokhtar, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4964-4964
Open Access | Times Cited: 77
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: 76
Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023
Mohammed Yaqoob Ansari, Omar Mourad, Khalid Qaraqe, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 58
Stages-Based ECG Signal Analysis From Traditional Signal Processing to Machine Learning Approaches: A Survey
Muhammad Wasimuddin, Khaled Elleithy, Abdelshakour Abuzneid, et al.
IEEE Access (2020) Vol. 8, pp. 177782-177803
Open Access | Times Cited: 124
Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks
Ahmet Çınar, Seda Arslan Tuncer
Computer Methods in Biomechanics & Biomedical Engineering (2020) Vol. 24, Iss. 2, pp. 203-214
Closed Access | Times Cited: 98
ECG Heartbeat Classification Using Multimodal Fusion
Zeeshan Ahmad, Anika Tabassum, Ling Guan, et al.
IEEE Access (2021) Vol. 9, pp. 100615-100626
Open Access | Times Cited: 91
An automatic arrhythmia classification model based on improved Marine Predators Algorithm and Convolutions Neural Networks
Essam H. Houssein, M. Hassaballah, Ibrahim E. Ibrahim, et al.
Expert Systems with Applications (2021) Vol. 187, pp. 115936-115936
Closed Access | Times Cited: 78
Parkinson’s detection based on combined CNN and LSTM using enhanced speech signals with Variational mode decomposition
Mehmet Bilal Er, Esme Işık, İbrahim Işık
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103006-103006
Open Access | Times Cited: 75
Analysis and classification of heart rate using CatBoost feature ranking model
B. Dhananjay, J. Sivaraman
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102610-102610
Closed Access | Times Cited: 71
Heartbeats Classification Using Hybrid Time-Frequency Analysis and Transfer Learning Based on ResNet
Yatao Zhang, Junyan Li, Shoushui Wei, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4175-4184
Closed Access | Times Cited: 61
Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG
Jagdeep Rahul, Lakhan Dev Sharma
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103270-103270
Closed Access | Times Cited: 61
Heart rate variability for medical decision support systems: A review
Oliver Faust, Wanrong Hong, Hui Wen Loh, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105407-105407
Closed Access | Times Cited: 55
Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health Monitoring
Hadaate Ullah, Md A. Wahab, Geoffrey Will, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 630-630
Open Access | Times Cited: 54
Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model
Jagdeep Rahul, Lakhan Dev Sharma
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 1, pp. 312-324
Closed Access | Times Cited: 52
A new method for heart rate prediction based on LSTM-BiLSTM-Att
Haijun Lin, Sirao Zhang, Qinghao Li, et al.
Measurement (2022) Vol. 207, pp. 112384-112384
Closed Access | Times Cited: 47
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
Bhekumuzi M. Mathunjwa, Yin-Tsong Lin, Chien‐Hung Lin, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1660-1660
Open Access | Times Cited: 46
Parkinson’s disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B. Vidya, P. Sasikumar
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105099-105099
Closed Access | Times Cited: 41
Automatic Cardiac Arrhythmia Classification Using Residual Network Combined With Long Short-Term Memory
Yun Kwan Kim, Minji Lee, Hee Seok Song, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-17
Open Access | Times Cited: 40
A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram
Musa Nehemiah, Abdulsalam Ya’u Gital, Nahla Aljojo, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 9677-9750
Open Access | Times Cited: 38
Two-stage lung nodule detection framework using enhanced UNet and convolutional LSTM networks in CT images
S. Akila Agnes, J. Anitha, A.A. Solomon
Computers in Biology and Medicine (2022) Vol. 149, pp. 106059-106059
Closed Access | Times Cited: 38
ECG Heartbeat Classification Using Machine Learning and Metaheuristic Optimization for Smart Healthcare Systems
M. Hassaballah, Yaser M. Wazery, Ibrahim E. Ibrahim, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 429-429
Open Access | Times Cited: 38
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
Venkata Anuhya Ardeti, Venkata Ratnam Kolluru, George Tom Varghese, et al.
Expert Systems with Applications (2023) Vol. 217, pp. 119561-119561
Closed Access | Times Cited: 32
Feature Selection Using Selective Opposition Based Artificial Rabbits Optimization for Arrhythmia Classification on Internet of Medical Things Environment
G S Nijaguna, N. Dayananda Lal, B D Parameshachari, et al.
IEEE Access (2023) Vol. 11, pp. 100052-100069
Open Access | Times Cited: 32
A novel temporal generative adversarial network for electrocardiography anomaly detection
Jing Qin, Fujie Gao, Zumin Wang, et al.
Artificial Intelligence in Medicine (2023) Vol. 136, pp. 102489-102489
Open Access | Times Cited: 28
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