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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:

Heart Disease Prediction using Ensemble ML
Madhvan Bajaj, Priyanshu Rawat, Chandradeep Bhatt, et al.
2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (2023), pp. 680-685
Closed Access | Times Cited: 13

Showing 13 citing articles:

Improvement in K-Means Clustering for Information Retrieval
Karan Purohit, Satvik Vats, Rishabh Saklani, et al.
(2023), pp. 1239-1245
Closed Access | Times Cited: 17
Crop Prediction Using Ensemble Learning
Bhavya Agarwal, Shubham Pokhriyal, Satvik Vats, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 90-95
Closed Access | Times Cited: 6
Comparative Analytic Study of Machine Learning Algorithms for PCOS Diagnosis and Outcome Prediction: An Empirical Analysis
Nidhi Bisht, Madhvan Bajaj, Priyanshu Rawat, et al.
2022 4th International Conference on Inventive Research in Computing Applications (ICIRCA) (2023), pp. 391-397
Closed Access | Times Cited: 4
Intelligent System for Identification and Classification of Pneumonia using Machine Learning
Chakshu Grover, Satvik Vats, Vikrant Sharma, et al.
(2023) Vol. 10, pp. 1-6
Closed Access | Times Cited: 4
A Study on Tuberculosis With Deep Learning and Machine Learning Approaches
Madhvan Bajaj, Priyanshu Rawat, Aastha Bhatt, et al.
(2023) Vol. 34, pp. 1-6
Closed Access | Times Cited: 3
Comparative Analysis of Supervised Machine Learning Algorithms for Liver Disease Prediction with SMOTE Enhancement
Anurag Dhyani, Ashutosh Rawat, Gautam Bisht, et al.
(2023) Vol. 8, pp. 1-6
Closed Access | Times Cited: 3
Heart Disease Prediction with Hyperparameter Analysis
Aashish K. Bansal, M. K. Nallakaruppan, Feslin Anish Mon, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Enhancing Dynamic Abstract Generation for Code Summarization using CODE-OAN Models and DBWTFF Frames
Chandradeep Bhatt, Manish Sharma, Sanjay Sharma, et al.
(2024), pp. 1-5
Closed Access
Enhancing Heart Disease Prediction through Optimized Ensemble Machine Learning Models: A Hyperparameter Tuning Approach
Nikhil Kumar, Poonam
(2024), pp. 1-6
Closed Access
K-means clustering over distributed environment: A review
Satvik Vats, Vikrant Sharma, Priyanshu Rawat, et al.
Elsevier eBooks (2024), pp. 173-185
Closed Access
Study on Degenerative Parkinson's Disease Using Various Machine Learning Algorithms
Madhvan Bajaj, Priyanshu Rawat, Vikrant Sharma, et al.
(2023) Vol. 10, pp. 1-6
Closed Access | Times Cited: 1
Cardiovascular Disease and Diabetes Disease Prediction Using Machine Learning and Streamlit API
Manika Manwal, Tanuj Maithani, Sristhi Mall, et al.
(2023), pp. 543-549
Closed Access | Times Cited: 1
A Study on Prediction of Cardiac Diseases Utilising a Machine Learning Approach for Logistic Regression
H.K. Narang, Kunal Verma, S. Shandilya, et al.
(2023), pp. 1-5
Closed Access
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