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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:

Influence of Optimal Hyperparameters on the Performance of Machine Learning Algorithms for Predicting Heart Disease
Ghulab Nabi Ahamad, Shafiullah, Hira Fatima, et al.
Processes (2023) Vol. 11, Iss. 3, pp. 734-734
Open Access | Times Cited: 25

Showing 25 citing articles:

Enhancing Heart Disease Prediction Accuracy through Machine Learning Techniques and Optimization
Nadikatla Chandrasekhar, Samineni Peddakrishna
Processes (2023) Vol. 11, Iss. 4, pp. 1210-1210
Open Access | Times Cited: 100
A Review of Machine Learning’s Role in Cardiovascular Disease Prediction: Recent Advances and Future Challenges
Marwah Abdulrazzaq Naser, Aso Ahmed Majeed, Muntadher Alsabah, et al.
Algorithms (2024) Vol. 17, Iss. 2, pp. 78-78
Open Access | Times Cited: 17
MDensNet201-IDRSRNet: Efficient cardiovascular disease prediction system using hybrid deep learning
Manjula Mandava, Surendra Reddy Vinta
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106147-106147
Closed Access | Times Cited: 11
Cardiovascular disease diagnosis: a holistic approach using the integration of machine learning and deep learning models
Hossein Sadr, Arsalan Salari, Mohammad Taghi Ashoobi, et al.
European journal of medical research (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 10
Detection of Cardiovascular Diseases Using Data Mining Approaches: Application of an Ensemble-Based Model
Mojdeh Nazari, Hassan Emami, Reza Rabiei, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2264-2278
Closed Access | Times Cited: 7
Enhancing Heart Disease Diagnosis with Meta-Heuristic Algorithms: A Combined HHO and PSO Approach
Farzana Begum, J. Arul Valan
Deleted Journal (2025)
Closed Access
Enhancing Cardiovascular Disease Prediction Among Middle-Aged Individuals Using Reinforcement Learning Dynamic Ensemble Selection with Customizable Actions and Exploration-Exploitation Balance
S.R Divyasri, A. Rama Prasath
Lecture notes in computer science (2025), pp. 326-335
Closed Access
Detection of kidney stone from ultrasound images using machine learning algorithms
Yawukal Ashagrie Asaye, Pushparaghavan Annamalai, Lijaddis Getnet Ayalew
Scientific African (2025), pp. e02618-e02618
Open Access
Analyzing Machine Learning Classifiers for the Diagnosis of Heart Disease
T. Saravanan, Saravanakumar Selvaraj, G. Karthikeyan, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 2
A comprehensive review on heart disease prognostication using different artificial intelligence algorithms
A. Jainul Fathima, M. M. Noor
Computer Methods in Biomechanics & Biomedical Engineering (2024) Vol. 27, Iss. 11, pp. 1357-1374
Closed Access | Times Cited: 2
AI-Enabled Electrocardiogram Analysis for Disease Diagnosis
Mohammad Mahbubur Rahman Khan Mamun, Tarek Elfouly
Applied System Innovation (2023) Vol. 6, Iss. 5, pp. 95-95
Open Access | Times Cited: 6
Exploring The Efficiency of Metaheuristics in Optimal Hyperparameter Tuning for Ensemble Models on Varied Data Modalities
Vivek BC
EAI endorsed transactions on intelligent systems and machine learning applications. (2024) Vol. 1
Closed Access | Times Cited: 1
Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco
Abdelhak El Kharki, Jamila Mechbouh, Miriam Wahbi, et al.
Revista de Teledetección (2024), Iss. 65
Open Access | Times Cited: 1
Machine Learning Classification of Roasted Arabic Coffee: Integrating Color, Chemical Compositions, and Antioxidants
Eman Alamri, Ghada Altarawneh, Hala M. Bayomy, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11561-11561
Open Access | Times Cited: 4
Risk Assessment of Landslide Collapse Disasters along National Highways Based on Information Quantity and Random Forest Coupling Methods: A Case Study of the G331 National Highway
Zuoquan Nie, Qiuling Lang, Yichen Zhang, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 12, pp. 493-493
Open Access | Times Cited: 3
Intelligent Methods for Early Prediction of Heart Disease
Hamdi A. Al-Jamimi
2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (2023), pp. 2574-2578
Closed Access | Times Cited: 2
Particle Swarm Optimization-Based Random Forest Framework for the Classification of Chronic Diseases
Akansha Singh, Nupur Prakash, Anurag Jain
IEEE Access (2023) Vol. 11, pp. 133931-133946
Open Access | Times Cited: 2
Heart Disease Prediction with Machine Learning-Based Approaches
Ayhan Küçükmanіşa, Zeynep Hilal Kilimci
Sakarya University Journal of Science (2023)
Open Access | Times Cited: 2
Heart Disease Prediction: A Machine Learning Approach with Higher Accuracy
Nahid Likhon, Farhan Bhuyian, Sihab Bhuiyan, et al.
International Internal Medicine Journal (2024) Vol. 2, Iss. 4, pp. 01-10
Open Access
Anticipating the Nearness of Coronary Heart Infection Utilizing Machine Learning Classifiers
Lamiaa Mohammed Salem Akoosh, Farheen Siddiqui, Sherin Zafar, et al.
Procedia Computer Science (2024) Vol. 235, pp. 2619-2629
Open Access
Roasted Arabic Coffee Classification Based on Color, Chemical Compositions and Antioxidants Using Machine Learning
Eman Alamri, Ghada Altarawneh, Hala M. Bayomy, et al.
(2023)
Open Access | Times Cited: 1
MEDIFORECAST : MULTIPLE DISEASE PREDICTION

International Research Journal of Modernization in Engineering Technology and Science (2023)
Open Access | Times Cited: 1
Early prediction of chronic heart disease with recursive feature elimination and supervised learning techniques
N. Komal Kumar, Angati Kalyan Kumar, Sangeetha Murugan, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 13, Iss. 1, pp. 730-730
Open Access | Times Cited: 1
A UWB Ranging Error Compensation Method Based on Grid Search and Ridge Regression
PinBo Lv, Yu Chen, Xinpeng Ma, et al.
(2023), pp. 538-541
Closed Access
Enhancing Heart Disease Prediction: A Comparative Study of Hyperparameter Optimization Techniques with Boosting Algorithms
Kilaru Aswini, Kriti Arya
(2023), pp. 1-8
Closed Access
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