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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:

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: 24

Showing 24 citing articles:

Economics of Artificial Intelligence in Healthcare: Diagnosis vs. Treatment
Narendra N. Khanna, Mahesh Maindarkar, Vijay Viswanathan, et al.
Healthcare (2022) Vol. 10, Iss. 12, pp. 2493-2493
Open Access | Times Cited: 140
UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, et al.
IEEE Access (2022) Vol. 11, pp. 595-645
Open Access | Times Cited: 42
Vascular Alterations Following COVID-19 Infection: A Comprehensive Literature Review
Paschalis Karakasis, Athina Nasoufidou, Μarios Sagris, et al.
Life (2024) Vol. 14, Iss. 5, pp. 545-545
Open Access | Times Cited: 8
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
Artificial intelligence based disease diagnosis using ultrasound imaging
Mahesh Maindarkar, Ashish Kumar
Elsevier eBooks (2025), pp. 147-161
Closed Access
Artificial intelligence–based treatment solutions
Mahesh Maindarkar
Elsevier eBooks (2025), pp. 129-144
Closed Access
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: 22
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: 12
UltraAIGenomics: Artificial Intelligence-Based Cardiovascular Disease Risk Assessment by Fusion of Ultrasound-Based Radiomics and Genomics Features for Preventive, Personalized and Precision Medicine: A Narrative Review
Luca Saba, Mahesh Maindarkar, Amer M. Johri, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
Recommender System for the Efficient Treatment of COVID-19 Using a Convolutional Neural Network Model and Image Similarity
Madhusree Kuanr, Puspanjali Mohapatra, Sanchi Mittal, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2700-2700
Open Access | Times Cited: 20
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: 11
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort
Mrinalini Bhagawati, Sudip Paul, Laura E. Mantella, et al.
The International Journal of Cardiovascular Imaging (2024) Vol. 40, Iss. 6, pp. 1283-1303
Closed Access | Times Cited: 3
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
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: 7
Deep Learning Paradigm and Its Bias for Coronary Artery Wall Segmentation in Intravascular Ultrasound Scans: A Closer Look
Vandana Kumari, Naresh Kumar, Sampath Kumar K, et al.
Journal of Cardiovascular Development and Disease (2023) Vol. 10, Iss. 12, pp. 485-485
Open Access | Times Cited: 7
A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Frontiers in Bioscience-Landmark (2023) Vol. 28, Iss. 10, pp. 248-248
Open Access | Times Cited: 5
AI Fuzzy Based Prediction and Prorogation of Alzheimer's Cancer
Srinivas Kolli, Muniyandy Elangovan, M. Vamsikrishna, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
A Multi-Modal CNN-based Approach for COVID-19 Diagnosis using ECG, X-Ray, and CT
Kumar Keshamoni, L. Koteswara Rao, Deepthi Rao
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access
Renal Function Implications on COVID-19 Intensive Care Unit Patient Outcomes in Saudi Arabia: A Retrospective Analysis
Ahmed Fadeil Aleid, Anees J. Alomari, Najwa Saeed N. Jurays, et al.
(2024) Vol. 1, Iss. 2, pp. 625-633
Closed Access
Navigating the Artificial Intelligence Revolution in NeuroOncology: A Multidisciplinary Viewpoint
Sanjay Saxena, Soumyaranjan Panda, Ekta Tiwari, et al.
Neurocomputing (2024), pp. 129220-129220
Closed Access
An Artificial Intelligence-Based Non-Invasive Approach for Cardiovascular Disease Risk Stratification in Obstructive Sleep Apnea Patients: A Narrative Review
Luca Saba, Mahesh Maindarkar, Narendra N. Khanna, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 12
Open Access
ASSESSMENT OF INCIDENCE OF PULMONARY EMBOLISM IN COVID-19 PATIENTS: A SINGLE-CENTER STUDY
MA Rana, MRO SIDDIQI, MH SIDDIQUI, et al.
Biological and Clinical Sciences Research Journal (2023) Vol. 2023, Iss. 1, pp. 230-230
Open Access | Times Cited: 1
Old and Novel Predictors for Cardiovascular Risk in Diabetic Foot Syndrome—A Narrative Review
Cristina Andreea Adam, Dragoș Traian Marius Marcu, Ovidiu Mitu, et al.
Applied Sciences (2023) Vol. 13, Iss. 10, pp. 5990-5990
Open Access
Diagnosis of Lung Diseases from Chest X-Ray Images Using Different Fusion Techniques
Fatma Mostafa, Lamiaa A. Elrefaei, Mostafa M. Fouda, et al.
(2023), pp. 429-435
Closed Access
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