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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:

A new variant of deep belief network assisted with optimal feature selection for heart disease diagnosis using IoT wearable medical devices
Fathima Aliyar Vellameeran, T. Brindha
Computer Methods in Biomechanics & Biomedical Engineering (2021) Vol. 25, Iss. 4, pp. 387-411
Closed Access | Times Cited: 19

Showing 19 citing articles:

Enhanced Heart Disease Prediction Based on Machine Learning and χ2 Statistical Optimal Feature Selection Model
Raniya R. Sarra, Ahmed M. Dinar, Mazin Abed Mohammed, et al.
Designs (2022) Vol. 6, Iss. 5, pp. 87-87
Open Access | Times Cited: 64
An Improved Ensemble-Based Cardiovascular Disease Detection System with Chi-Square Feature Selection
Ayad Esho Korial, Ivan Isho Gorial, Amjad J. Humaidi
Computers (2024) Vol. 13, Iss. 6, pp. 126-126
Open Access | Times Cited: 12
Ensemble Heuristic–Metaheuristic Feature Fusion Learning for Heart Disease Diagnosis Using Tabular Data
Mohammad Shokouhifar, Mohamad Hasanvand, Elaheh Moharamkhani, et al.
Algorithms (2024) Vol. 17, Iss. 1, pp. 34-34
Open Access | Times Cited: 9
A systematic review of applying grey wolf optimizer, its variants, and its developments in different Internet of Things applications
Mohammad H. Nadimi-Shahraki, Hoda Zamani, Zahra Asghari Varzaneh, et al.
Internet of Things (2024) Vol. 26, pp. 101135-101135
Closed Access | Times Cited: 9
A smart IoT-enabled heart disease monitoring system using meta-heuristic-based Fuzzy-LSTM model
N V L M Krishna Munagala, Lakshmi Rajeswara Rao Langoju, A. Daisy Rani, et al.
Journal of Applied Biomedicine (2022) Vol. 42, Iss. 4, pp. 1183-1204
Closed Access | Times Cited: 28
Cardiac disease prediction using AI algorithms with SelectKBest
Mariwan Hama Saeed, Jihad Ibrahim Hama
Medical & Biological Engineering & Computing (2023) Vol. 61, Iss. 12, pp. 3397-3408
Closed Access | Times Cited: 14
Deep Learning Applications in ECG Analysis and Disease Detection: An Investigation Study of Recent Advances
U. Sumalatha, Krishna Prakash, Srikanth Prabhu, et al.
IEEE Access (2024) Vol. 12, pp. 126258-126284
Open Access | Times Cited: 4
Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things
John Mulo, Hengshuo Liang, Mian Qian, et al.
Future Internet (2025) Vol. 17, Iss. 3, pp. 107-107
Open Access
Interactive Cardiovascular Disease Prediction system using Learning Techniques: Insights from Extensive Experiments
Purnima Pal, Harsh Vikram Singh, Veena Grover, et al.
Results in Control and Optimization (2025), pp. 100560-100560
Open Access
Hybrid machine learning techniques based on genetic algorithm for heart disease detection
Ankur Kumar, Sanjay Dhanka, Jaspreet Singh, et al.
Innovation and Emerging Technologies (2024) Vol. 11
Closed Access | Times Cited: 3
Effective heart disease prediction with Grey-wolf with Firefly algorithm-differential evolution (GF-DE) for feature selection and weighted ANN classification
D. Deepika, N. Balaji
Computer Methods in Biomechanics & Biomedical Engineering (2022) Vol. 25, Iss. 12, pp. 1409-1427
Closed Access | Times Cited: 13
HCDP-DELM: Heterogeneous chronic disease prediction with temporal perspective enabled deep extreme learning machine
Amir Rehman, Huanlai Xing, Mehboob Hussain, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111316-111316
Closed Access | Times Cited: 7
A Deep Learning for Cardiovascular Diseases Detection on Wearable Devices Data
Meirzhan Baikuvekov, Azhar Tursynova, Galymzhan Yespayev
(2024), pp. 272-277
Closed Access | Times Cited: 2
Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction
Kanak Kalita, N. Ganesh, Sambandam Jayalakshmi, et al.
Frontiers in Digital Health (2023) Vol. 5
Open Access | Times Cited: 6
Deep Forest Based Internet of Medical Things System for Diagnosis of Heart Disease
Shavan Askar
ARO-The Scientific Journal of Koya University (2023) Vol. 11, Iss. 1, pp. 88-98
Open Access | Times Cited: 4
Enhancing Cardiac Anomaly Detection through Deep Learning Autoencoder: An In-Depth Analysis Using the PTB Diagnostic ECG Database
Gregorius Airlangga
Jurnal Teknologi Terapan G-Tech (2024) Vol. 8, Iss. 1, pp. 584-592
Open Access
AE-Obi-LSTM: An Efficient IOT Wearable Devices for Cardiovascular Disease Prediction
N. Divya, N. Suresh Kumar, R. Kanniga Devi, et al.
Lecture notes in computer science (2024), pp. 182-199
Closed Access
Optimization-enabled deep learning model for disease detection in IoT platform
Amol Dattatray Dhaygude
Network Computation in Neural Systems (2023) Vol. 35, Iss. 2, pp. 190-211
Closed Access | Times Cited: 1
Supporting medical decision-making using machine learning
Richard Wainwright
(2023)
Open Access
EHMFFL: Ensemble Heuristic-Metaheuristic Feature Fusion Learning Algorithm for Heart Disease Diagnosis
Mohammad Shokouhifar, Mohamad Hasanvand, Elaheh Moharamkhani, et al.
(2023)
Open Access
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