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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:

The diagnostic accuracy of Artificial Intelligence-Assisted CT imaging in COVID-19 disease: A systematic review and meta-analysis
Meisam Moezzi, Kiarash Shirbandi, Hassan Kiani Shahvandi, et al.
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100591-100591
Open Access | Times Cited: 24

Showing 24 citing articles:

Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer
Babak Arjmand, Shayesteh Kokabi Hamidpour, Akram Tayanloo-Beik, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 77
Detection of Alzheimer’s disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning
Don Kulasiri, Iroshan Aberathne, Sandhya Samarasinghe
Neural Regeneration Research (2023) Vol. 18, Iss. 10, pp. 2134-2134
Open Access | Times Cited: 24
Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET
Giovanna Castellano, Andrea Esposito, Eufemia Lella, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Artificial Intelligence Applications in Healthcare Sector: Ethical and Legal Challenges
Emna Chikhaoui, Alanoud Alajmi, Souad Larabi-Marie-Sainte
Emerging Science Journal (2022) Vol. 6, Iss. 4, pp. 717-738
Open Access | Times Cited: 35
Computational frameworks integrating deep learning and statistical models in mining multimodal omics data
Leann Lac, Carson K. Leung, Pingzhao Hu
Journal of Biomedical Informatics (2024) Vol. 152, pp. 104629-104629
Open Access | Times Cited: 7
The accuracy of machine learning approaches using non-image data for the prediction of COVID-19: A meta-analysis
Kuang-Ming Kuo, Paul C. Talley, Chao-Sheng Chang
International Journal of Medical Informatics (2022) Vol. 164, pp. 104791-104791
Open Access | Times Cited: 23
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Cov-TransNet: Dual branch fusion network with transformer for COVID-19 infection segmentation
Yanjun Peng, Tong Zhang, Yanfei Guo
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104366-104366
Open Access | Times Cited: 17
Harnessing Machine Learning in Early COVID-19 Detection and Prognosis: A Comprehensive Systematic Review
Rufaidah Dabbagh, Amr Jamal, Jakir Hossain Bhuiyan Masud, et al.
Cureus (2023)
Open Access | Times Cited: 10
Critical roles of cytokine storm and bacterial infection in patients with COVID-19: therapeutic potential of mesenchymal stem cells
Babak Arjmand, Sepideh Alavi-Moghadam, Masoumeh Sarvari, et al.
Inflammopharmacology (2023) Vol. 31, Iss. 1, pp. 171-206
Open Access | Times Cited: 9
Segmentation of tumor region in respiratory disease by extended algorithm
Abdollah Khorshidi
International Journal of Modern Physics C (2023) Vol. 34, Iss. 12
Closed Access | Times Cited: 8
Machine and deep learning methods for clinical outcome prediction based on physiological data of COVID-19 patients: a scoping review
Dmitriy Viderman, Alexander Kotov, Maxim N. Popov, et al.
International Journal of Medical Informatics (2023) Vol. 182, pp. 105308-105308
Closed Access | Times Cited: 7
Diagnostic Test Accuracy of Deep Learning Detection of COVID-19: A Systematic Review and Meta-Analysis
Temitope Emmanuel Komolafe, Yuzhu Cao, Benedictor Alexander Nguchu, et al.
Academic Radiology (2021) Vol. 28, Iss. 11, pp. 1507-1523
Open Access | Times Cited: 17
Monitoring of pulmonary involvement in critically ill COVID-19 patients - should lung ultrasound be preferred over CT?
Arthur W. E. Lieveld, Micah L. A. Heldeweg, Jasper Schouwenburg, et al.
The Ultrasound Journal (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Advancements in imaging in ChILD
David R. Spielberg, Jason P. Weinman, Emily M. DeBoer
Pediatric Pulmonology (2023)
Closed Access | Times Cited: 4
Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
DEEP LEARNING TECHNIQUES FOR COVID-19 DISEASE DETECTION: A META-ANALYSIS
Faisal Maqbool Zahid, Shahla Faisal, Mohsin Ali, et al.
(2024)
Open Access
COVID-19 disease detection using attention based Bi-Directional capsule network model
Satya Sukumar Makkapati, N. Nagamalleswara Rao
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106636-106636
Closed Access
Coronavirus Anatomy and Its Analytical Approaches for Targeting COVID-19
Santheraleka Ramanathan, M. B. Malarvili, Subash C.B. Gopinath, et al.
Advances in experimental medicine and biology (2024), pp. 33-44
Closed Access
Deep learning-based Covid-19 diagnosis: a thorough assessment with a focus on generalization capabilities
Amel Imene Hadj Bouzid, Sid-Ahmed Berrani, Saïd Yahiaoui, et al.
EURASIP Journal on Image and Video Processing (2024) Vol. 2024, Iss. 1
Open Access
Use of Computed Tomography (CT)-Scan in the Current Coronavirus Pandemic
Ibrahima Niang, Géraud Akpo, Khadidiatou Ndiaye Diouf, et al.
IntechOpen eBooks (2021)
Open Access | Times Cited: 2
Nutzung von künstlicher Intelligenz zur Bekämpfung der COVID-19-Pandemie
Sebastian Fritsch, Konstantin Sharafutdinov, Andreas Schuppert, et al.
AINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie (2022) Vol. 57, Iss. 03, pp. 185-197
Closed Access | Times Cited: 1
Acute and critical care diagnostics in COVID-19
Arthur William Edward Lieveld
(2023)
Open Access
Precisión diagnóstica del <i>software</i> de cuantificación automática en pacientes con sospecha de COVID-19 del Instituto Nacional de Cardiología Ignacio Chávez
Estefanía Gallego-Díaz, César Cristancho-Rojas, Sergio Críales-Vera
Archivos de cardiología de México (2022) Vol. 93, Iss. 96
Open Access
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