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:

Prediction of Heart Disease using Machine Learning Algorithms
Garima Choudhary, Shailendra Singh
2020 International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (2020), pp. 197-202
Closed Access | Times Cited: 58

Showing 1-25 of 58 citing articles:

Discovery of Approaches by Various Machine learning Ensemble Model and Features Selection Method in Critical Heart Disease Diagnosis
Gyanendra Kumar Pal, Sanjeev Gangwar
International Research Journal on Advanced Science Hub (2022) Vol. 5, Iss. 01, pp. 15-21
Open Access | Times Cited: 29

Machine Learning-Based Cardiovascular Disease Detection Using Optimal Feature Selection
Tahseen Ullah, Syed Irfan Ullah, Khalil Ullah, et al.
IEEE Access (2024) Vol. 12, pp. 16431-16446
Open Access | Times Cited: 7

Ambient assisted living predictive model for cardiovascular disease prediction using supervised learning
Sibo Prasad Patro, Neelamadhab Padhy, Dukuru Chiranjevi
Evolutionary Intelligence (2020) Vol. 14, Iss. 2, pp. 941-969
Closed Access | Times Cited: 42

Heart Diseases Prediction using Machine Learning
Anup Lal Yadav, Kamal Soni, Shanu Khare
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 14

A Web-Based System to Forecast Heart Disorder by Using Machine Learning Algorithm
D. Vidyabharathi, B. Sathiya, G. Mohanraj, et al.
Lecture notes in networks and systems (2025), pp. 235-256
Closed Access

Predicting Heart Disease with Machine Learning: A Comparative Study of Classifiers
Nadia Rehmat, Hassan Faraz, Tayyaba Farhat, et al.
Communications in computer and information science (2025), pp. 250-263
Closed Access

Effective Study of Machine Learning Algorithms for Heart Disease Prediction
Mihir J. Gaikwad, Prathmesh S. Asole, Leela Bitla
(2022), pp. 1-6
Closed Access | Times Cited: 20

Performance Analysis of Support Vector Machine in Diabetes Prediction
Narendra Mohan, Vinod Kumar Jain
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2020), pp. 1-3
Closed Access | Times Cited: 31

Heart Disease Prediction and Analysis Using Ensemble Architecture
Md. Rafsun Jani, Md. Shariful Islam Shanto, Md. Mohsin Kabir, et al.
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2022), pp. 1386-1390
Closed Access | Times Cited: 16

Heart Disease Prediction using Machine Learning
Shubham Patil, Abhishek Yadav, Akhtar Raza, et al.
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 3290-3293
Open Access | Times Cited: 15

Performance Comparison of Various Machine Learning Approaches to Identify the Best One in Predicting Heart Disease
Enas M. Abd Allah, Doaa E. El-Matary, Esraa M. Eid, et al.
Journal of Computer and Communications (2022) Vol. 10, Iss. 02, pp. 1-18
Open Access | Times Cited: 13

Cardiovascular Disease Prediction Model using Machine Learning Algorithms
Siddhika Arunachalam
International Journal for Research in Applied Science and Engineering Technology (2020) Vol. 8, Iss. 6, pp. 1006-1019
Open Access | Times Cited: 20

Review Paper on Prediction of Heart Disease using Machine Learning Algorithms
Aadar Pandita
International Journal for Research in Applied Science and Engineering Technology (2021) Vol. 9, Iss. VI, pp. 2937-2940
Open Access | Times Cited: 16

Analyzing Predictive Algorithms in Data Mining for Cardiovascular Disease using WEKA Tool
Aman Aman, Rajender Singh Chhillar
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 8
Open Access | Times Cited: 14

Improving the Prediction of Heart Disease Using Ensemble Learning and Feature Selection
Priyanka Gupta, Seth D.D.
International Journal of Advances in Soft Computing and its Applications (2022) Vol. 14, Iss. 2, pp. 37-40
Open Access | Times Cited: 8

Heart Disease Prediction using Hybrid ML Algorithms
Suhitha Katari, Thanguturu Likith, Muthineni Phani Sai Sree, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 121-125
Closed Access | Times Cited: 4

Empirical Analysis of Heart Disease Prediction Using Deep Learning
Arunima Jaiswal, Monika Singh, Nitin Sachdeva
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-9
Closed Access | Times Cited: 4

Supervised Learning Approaches on the Prediction of Diabetic Disease in Healthcare
Riyam Patel, Borra Sivaiah, Punyaban Patel, et al.
Lecture notes in networks and systems (2023), pp. 157-168
Closed Access | Times Cited: 4

Algorithm Accuracy Verification in Heart Disease Analysis using Machine Learning
K. Kalyan Karthik, A. L. Narasima Reddy, Rithesh Kulkarni, et al.
(2023), pp. 345-349
Closed Access | Times Cited: 3

Machine Learning Techniques in Cardiovascular Disease Prediction
Rajat Srivastava, Srabanti Maji, Trinath Panda
Communications in computer and information science (2023), pp. 199-211
Closed Access | Times Cited: 3

Machine Learning Prediction of Brain Stroke at an Early Stage
Mohammad Abood Kadhim, Abdulkareem Merhej Radhi
Iraqi Journal of Science (2023), pp. 6596-6610
Open Access | Times Cited: 3

Cardiovascular Diseases Prediction using various Machine Learning Techniques
S Aradhana, P Jankisharan, SK Virendra, et al.
IOP Conference Series Materials Science and Engineering (2021) Vol. 1022, Iss. 1, pp. 012003-012003
Open Access | Times Cited: 8

Heart Disease Prediction Using Supervised Classifiers
Fayeza Sifat Fatima, Arunima Jaiswal, Nitin Sachdeva
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 5

A Study on Role of Machine Learning in Detectin Heart Diseas
Preet Chandan Kaur
(2020), pp. 188-193
Closed Access | Times Cited: 6

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