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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:

Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
George Konstantonis, Krishna V. Singh, Petros P. Sfikakis, et al.
Rheumatology International (2022) Vol. 42, Iss. 2, pp. 215-239
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review
Sara Momtazmanesh, Ali Nowroozi, Nima Rezaei
Rheumatology and Therapy (2022) Vol. 9, Iss. 5, pp. 1249-1304
Open Access | Times Cited: 60
A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms: A Narrative Review
Jasjit S. Suri, Mrinalini Bhagawati, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 722-722
Open Access | Times Cited: 43
Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
Nillmani, Pankaj K. Jain, Neeraj Sharma, et al.
Diagnostics (2022) Vol. 12, Iss. 3, pp. 652-652
Open Access | Times Cited: 41
Deep learning based coronary artery disease detection and segmentation using ultrasound imaging with adaptive gated SCNN models
Anshy Singh, N. Nagabhooshanam, Rakesh Kumar, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107637-107637
Closed Access | Times Cited: 1
Big Data Analytics Framework Using Squirrel Search Optimized Gradient Boosted Decision Tree for Heart Disease Diagnosis
Kareemulla Shaik, Janjhyam Venkata Naga Ramesh, Miroslav Mahdal, et al.
Applied Sciences (2023) Vol. 13, Iss. 9, pp. 5236-5236
Open Access | Times Cited: 21
Machine learning application in autoimmune diseases: State of art and future prospectives
Maria Giovanna Danieli, Silvia Brunetto, Luca Gammeri, et al.
Autoimmunity Reviews (2023) Vol. 23, Iss. 2, pp. 103496-103496
Open Access | Times Cited: 19
Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
Archana Bathula, Suneet Kumar Gupta, M. Suresh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 9
Open Access | Times Cited: 7
Cardiovascular/Stroke Risk Stratification in Diabetic Foot Infection Patients Using Deep Learning-Based Artificial Intelligence: An Investigative Study
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 22, pp. 6844-6844
Open Access | Times Cited: 26
NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death
Jagjit S. Teji, Suneet Jain, Suneet Gupta, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105639-105639
Closed Access | Times Cited: 25
Vascular Implications of COVID-19: Role of Radiological Imaging, Artificial Intelligence, and Tissue Characterization: A Special Report
Narendra N. Khanna, Mahesh Maindarkar, Anudeep Puvvula, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 8, pp. 268-268
Open Access | Times Cited: 25
Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review
Mustafa Al-Maini, Mahesh Maindarkar, George D. Kitas, et al.
Rheumatology International (2023) Vol. 43, Iss. 11, pp. 1965-1982
Closed Access | Times Cited: 16
Cardiovascular disease/stroke risk stratification in deep learning framework: a review
Mrinalini Bhagawati, Sudip Paul, Sushant Agarwal, et al.
Cardiovascular Diagnosis and Therapy (2023) Vol. 12, Iss. 3, pp. 557-598
Open Access | Times Cited: 13
GeneAI 3.0: powerful, novel, generalized hybrid and ensemble deep learning frameworks for miRNA species classification of stationary patterns from nucleotides
Jaskaran Singh, Narendra N. Khanna, Ranjeet Kumar Rout, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
What does artificial intelligence mean in rheumatology?
Kunal Chandwar, Durga Prasanna Misra
Archives of Rheumatology (2024) Vol. 39, Iss. 1, pp. 1-9
Open Access | Times Cited: 5
Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey
Ekta Tiwari, Deepti D. Shrimankar, Mahesh Maindarkar, et al.
Rheumatology International (2025) Vol. 45, Iss. 1
Closed Access
A prediction study on the occurrence risk of heart disease in older hypertensive patients based on machine learning
Fei Si, Qian Liu, Jing Yu
BMC Geriatrics (2025) Vol. 25, Iss. 1
Open Access
Identifying cardiovascular abnormalities
Mrinalini Bhagawati, Sudip Paul
Elsevier eBooks (2025), pp. 227-244
Closed Access
Attention-based hybrid deep learning models and its scientific validation for cardiovascular disease risk stratification
Mrinalini Bhagawati, Siddharth Gupta, Sudip Paul, et al.
Biomedical Signal Processing and Control (2025) Vol. 108, pp. 107824-107824
Closed Access
Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review
Narendra N Khanna, Manasvi Singh, Mahesh Maindarkar, et al.
Journal of Korean Medical Science (2023) Vol. 38, Iss. 46
Open Access | Times Cited: 10
A Survey on Image-Based Cardiac Diagnosis Prediction Using Machine Learning and Deep Learning Techniques
Anindya Nag, Biva Das, Riya Sil, et al.
Studies in computational intelligence (2024), pp. 478-491
Closed Access | Times Cited: 3
Cardiovascular Disease Risk Stratification Using Hybrid Deep Learning Paradigm: First of Its Kind on Canadian Trial Data
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
Diagnostics (2024) Vol. 14, Iss. 17, pp. 1894-1894
Open Access | Times Cited: 3
Deep Learning Paradigm for Cardiovascular Disease/Stroke Risk Stratification in Parkinson’s Disease Affected by COVID-19: A Narrative Review
Jasjit S. Suri, Mahesh Maindarkar, Sudip Paul, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1543-1543
Open Access | Times Cited: 13
Atherosclerotic Cardiovascular Risk Stratification in the Rheumatic Diseases:
Durga Prasanna Misra, Ellen‐Margrethe Hauge, Cynthia S. Crowson, et al.
Rheumatic Disease Clinics of North America (2022) Vol. 49, Iss. 1, pp. 19-43
Closed Access | Times Cited: 11
M2AI-CVD: Multi-modal AI approach cardiovascular risk prediction system using fundus images
Premalatha Gurumurthy, Manjunathan Alagarsamy, Sangeetha Kuppusamy, et al.
Network Computation in Neural Systems (2024) Vol. 35, Iss. 3, pp. 319-346
Closed Access | Times Cited: 1
A Post-processing Ensemble Machine Learning Approach for Prediction and Classification of Cardiovascular Disease
Pradip Chakraborty, Bikash Kanti Sarkar, Myasar Mundher Adnan, et al.
(2024), pp. 1-4
Closed Access | Times Cited: 1
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