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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.

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Showing 1-25 of 49 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: 158
Segmentation-Based Classification Deep Learning Model Embedded with Explainable AI for COVID-19 Detection in Chest X-ray Scans
Nillmani, Neeraj Sharma, Luca Saba, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2132-2132
Open Access | Times Cited: 61
Brain Tumor Characterization Using Radiogenomics in Artificial Intelligence Framework
Biswajit Jena, Sanjay Saxena, Gopal Krishna Nayak, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 4052-4052
Open Access | Times Cited: 50
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: 47
Attention-Based UNet Deep Learning Model for Plaque Segmentation in Carotid Ultrasound for Stroke Risk Stratification: An Artificial Intelligence Paradigm
Pankaj K. Jain, Abhishek Dubey, Luca Saba, et al.
Journal of Cardiovascular Development and Disease (2022) Vol. 9, Iss. 10, pp. 326-326
Open Access | Times Cited: 39
Fused deep learning paradigm for the prediction of o6-methylguanine-DNA methyltransferase genotype in glioblastoma patients: A neuro-oncological investigation
Sanjay Saxena, Biswajit Jena, Bibhabasu Mohapatra, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106492-106492
Closed Access | Times Cited: 30
Deep learning models for tuberculosis detection and infected region visualization in chest X-ray images
Vinayak Sharma, Nillmani, Sachin Kumar Gupta, et al.
Intelligent Medicine (2023) Vol. 4, Iss. 2, pp. 104-113
Open Access | Times Cited: 27
Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1954-1954
Open Access | Times Cited: 24
Artificial intelligence based disease diagnosis using ultrasound imaging
Mahesh Maindarkar, Ashish Kumar
Elsevier eBooks (2025), pp. 147-161
Closed Access | Times Cited: 1
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment
Pankaj K. Jain, Neeraj Sharma, Mannudeep K. Kalra, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106017-106017
Closed Access | Times Cited: 32
Artificial intelligence bias in medical system designs: a systematic review
Ashish Kumar, Vivekanand Aelgani, Rubeena Vohra, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 18005-18057
Open Access | Times Cited: 21
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: 6
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
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: 14
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
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: 5
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
DermAI 1.0: A Robust, Generalized, and Novel Attention-Enabled Ensemble-Based Transfer Learning Paradigm for Multiclass Classification of Skin Lesion Images
Prabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3159-3159
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: 4
Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans
Siddharth Gupta, Arun Kumar Dubey, Rajesh Singh, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1534-1534
Open Access | Times Cited: 4
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
Deep learning methods for improving the accuracy and efficiency of pathological image analysis
Tangsen Huang, Xingru Huang, Haibing Yin
Science Progress (2025) Vol. 108, Iss. 1
Open Access
Artificial intelligence–based treatment solutions
Mahesh Maindarkar
Elsevier eBooks (2025), pp. 129-144
Closed Access
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