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:
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
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
Showing 5 citing articles:
Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 16
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, et al.
EClinicalMedicine (2024) Vol. 73, pp. 102660-102660
Open Access | Times Cited: 16
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
Ekta Tiwari, Deepti D. Shrimankar, Mahesh Maindarkar, et al.
Rheumatology International (2025) Vol. 45, Iss. 1
Closed Access
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
Luca Saba, Mahesh Maindarkar, Amer M. Johri, et al.
Reviews in Cardiovascular Medicine (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 4
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
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
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 2
