Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
Computers in Biology and Medicine (2021) Vol. 130, pp. 104210-104210
Open Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

A comprehensive review of SARS-CoV-2 vaccines: Pfizer, Moderna & Johnson & Johnson
Rikinkumar S. Patel, Mohamad Kaki, Venkat Sumanth Potluri, et al.
Human Vaccines & Immunotherapeutics (2022) Vol. 18, Iss. 1
Open Access | Times Cited: 155
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review
Suchismita Das, Gopal Krishna Nayak, Luca Saba, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105273-105273
Closed Access | Times Cited: 101
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 15
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
(2020)
Open Access | Times Cited: 95
Artificial intelligence-driven assessment of radiological images for COVID-19
Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104665-104665
Open Access | Times Cited: 69
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 11, pp. 4128-4139
Open Access | Times Cited: 63
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
Sema Atasever, Nuh Azgınoglu, Duygu Sinanç Terzi, et al.
Clinical Imaging (2022) Vol. 94, pp. 18-41
Closed Access | Times Cited: 54
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0
Mohit Agarwal, Sushant Agarwal, Luca Saba, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105571-105571
Open Access | Times Cited: 48
COVLIAS 2.0-cXAI: Cloud-Based Explainable Deep Learning System for COVID-19 Lesion Localization in Computed Tomography Scans
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, et al.
Diagnostics (2022) Vol. 12, Iss. 6, pp. 1482-1482
Open Access | Times Cited: 48
Environmentally friendly and antimicrobial bilayer structured fabrics with integrated interception and sterilization for personal protective mask
Yixin Cheng, Jiwei Li, Meng Chen, et al.
Separation and Purification Technology (2022) Vol. 294, pp. 121165-121165
Closed Access | Times Cited: 46
Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
Jasjit S. Suri, Sudip Paul, Mahesh Maindarkar, et al.
Metabolites (2022) Vol. 12, Iss. 4, pp. 312-312
Open Access | Times Cited: 37
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: 23
Automated deep learning-based paradigm for high-risk plaque detection in B-mode common carotid ultrasound scans: an asymptomatic Japanese cohort study
Pankaj K. Jain, Neeraj Sharma, Luca Saba, et al.
International Angiology (2021) Vol. 41, Iss. 1
Closed Access | Times Cited: 44
COVLIAS 1.0: Lung Segmentation in COVID-19 Computed Tomography Scans Using Hybrid Deep Learning Artificial Intelligence Models
Jasjit S. Suri, Sushant Agarwal, Rajesh Kumar Pathak, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1405-1405
Open Access | Times Cited: 43
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
Siva Skandha Sanagala, Andrew Nicolaides, Suneet Gupta, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105131-105131
Closed Access | Times Cited: 43
Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis
Lulu Jia, Jian-Xin Zhao, nini pan, et al.
European Journal of Radiology Open (2022) Vol. 9, pp. 100438-100438
Open Access | Times Cited: 31
Recent Advances in Machine Learning Applied to Ultrasound Imaging
Monica Micucci, Antonio Iula
Electronics (2022) Vol. 11, Iss. 11, pp. 1800-1800
Open Access | Times Cited: 22
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: 12
Artificial Intelligence in the Intensive Care Unit: Current Evidence on an Inevitable Future Tool
Vinay Suresh, Kaushal Singh, Esha Vaish, et al.
Cureus (2024)
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
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
Inter-Variability Study of COVLIAS 1.0: Hybrid Deep Learning Models for COVID-19 Lung Segmentation in Computed Tomography
Jasjit S. Suri, Sushant Agarwal, Pranav Elavarthi, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2025-2025
Open Access | Times Cited: 23
Nutrition, atherosclerosis, arterial imaging, cardiovascular risk stratification, and manifestations in COVID-19 framework: a narrative review
Smiksha Munjral, Puneet Ahluwalia, Ankush D. Jamthikar, et al.
Frontiers in Bioscience-Landmark (2021) Vol. 26, Iss. 11
Open Access | Times Cited: 21
COVLIAS 1.0 vs. MedSeg: Artificial Intelligence-Based Comparative Study for Automated COVID-19 Computed Tomography Lung Segmentation in Italian and Croatian Cohorts
Jasjit S. Suri, Sushant Agarwal, Alessandro Carriero, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2367-2367
Open Access | Times Cited: 21
Automatic detection of multiple types of pneumonia: Open dataset and a multi-scale attention network
Pak Kin Wong, Tao Yan, Huaqiao Wang, et al.
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103415-103415
Open Access | Times Cited: 21
Page 1 - Next Page

Scroll to top