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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:

Deep learning for predicting COVID-19 malignant progression
Cong Fang, Song Bai, Qianlan Chen, et al.
Medical Image Analysis (2021) Vol. 72, pp. 102096-102096
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 195
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101860-101860
Open Access | Times Cited: 144
Artificial Intelligence for COVID-19: A Systematic Review
Lian Wang, Yonggang Zhang, Dongguang Wang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 132
An overview of deep learning methods for multimodal medical data mining
Fatemeh Behrad, Mohammad Saniee Abadeh
Expert Systems with Applications (2022) Vol. 200, pp. 117006-117006
Closed Access | Times Cited: 95
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
Matteo Chieregato, Fabio Frangiamore, Mauro Morassi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 84
Artificial intelligence-based methods for fusion of electronic health records and imaging data
Farida Mohsen, Hazrat Ali, Nady El Hajj, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 84
Elevated D-dimer levels on admission are associated with severity and increased risk of mortality in COVID-19: A systematic review and meta-analysis
Barış Güngör, Adem Atıcı, Ömer Faruk Baycan, et al.
The American Journal of Emergency Medicine (2020) Vol. 39, pp. 173-179
Open Access | Times Cited: 99
Prognostic Factors for 30-Day Mortality in Critically Ill Patients With Coronavirus Disease 2019: An Observational Cohort Study
Paloma Ferrando-Vivas, James Doidge, Karen Thomas, et al.
Critical Care Medicine (2020) Vol. 49, Iss. 1, pp. 102-111
Open Access | Times Cited: 80
Artificial intelligence in clinical care amidst COVID-19 pandemic: A systematic review
Eleni S. Adamidi, Konstantinos Mitsis, Konstantina S. Nikita
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 2833-2850
Open Access | Times Cited: 80
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
Xiaofeng Zhu, Bin Song, Feng Shi, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101824-101824
Open Access | Times Cited: 73
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 13
Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images
Sheikh Burhan Ul Haque, Aasim Zafar
Deleted Journal (2024) Vol. 37, Iss. 1, pp. 308-338
Open Access | Times Cited: 11
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
George Lăzăroiu, Tom Gedeon, Elżbieta Rogalska, et al.
Oeconomia Copernicana (2024) Vol. 15, Iss. 1, pp. 27-58
Open Access | Times Cited: 11
Review of multimodal machine learning approaches in healthcare
Felix H. Krones, Umar Marikkar, Guy Parsons, et al.
Information Fusion (2024), pp. 102690-102690
Open Access | Times Cited: 9
How Might AI and Chest Imaging Help Unravel COVID-19’s Mysteries?
Shinjini Kundu, Hesham Elhalawani, Judy Wawira Gichoya, et al.
Radiology Artificial Intelligence (2020) Vol. 2, Iss. 3, pp. e200053-e200053
Open Access | Times Cited: 69
Multi-task multi-modality SVM for early COVID-19 Diagnosis using chest CT data
Rongyao Hu, Jiangzhang Gan, Xiaofeng Zhu, et al.
Information Processing & Management (2021) Vol. 59, Iss. 1, pp. 102782-102782
Open Access | Times Cited: 44
Situation-Aware BDI Reasoning to Detect Early Symptoms of Covid 19 Using Smartwatch
Kiran Saleem, Misbah Saleem, Rana Zeeshan Ahmad, et al.
IEEE Sensors Journal (2022) Vol. 23, Iss. 2, pp. 898-905
Open Access | Times Cited: 35
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Hatice Çatal Reis, Veysel Turk
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102427-102427
Open Access | Times Cited: 31
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
Suruchi Kumari, Pravendra Singh
Computers in Biology and Medicine (2023) Vol. 170, pp. 107912-107912
Open Access | Times Cited: 19
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes
Valerio Guarrasi, Paolo Soda
Computers in Biology and Medicine (2023) Vol. 154, pp. 106625-106625
Open Access | Times Cited: 17
Multimodal explainability via latent shift applied to COVID-19 stratification
Valerio Guarrasi, Lorenzo Tronchin, Domenico Albano, et al.
Pattern Recognition (2024) Vol. 156, pp. 110825-110825
Open Access | Times Cited: 7
A systematic meta‐analysis of immune signatures in patients with COVID‐19
Kun Liu, Tong Yang, Xue‐Fang Peng, et al.
Reviews in Medical Virology (2020) Vol. 31, Iss. 4
Open Access | Times Cited: 49
An explainable AI system for automated COVID-19 assessment and lesion categorization from CT-scans
Matteo Pennisi, Isaak Kavasidis, Concetto Spampinato, et al.
Artificial Intelligence in Medicine (2021) Vol. 118, pp. 102114-102114
Open Access | Times Cited: 37
A Comprehensive Review of Machine Learning Used to Combat COVID-19
Rahul Gomes, Connor Kamrowski, Jordan Langlois, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1853-1853
Open Access | Times Cited: 27
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