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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:

Application of Artificial Intelligence in COVID-19 Diagnosis and Therapeutics
Ken Asada, Masaaki Komatsu, Ryo Shimoyama, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 9, pp. 886-886
Open Access | Times Cited: 24

Showing 24 citing articles:

Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 9
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 28
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Ryuji Hamamoto, Takafumi Koyama, Nobuji Kouno, et al.
Experimental Hematology and Oncology (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 28
The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development
Mayur Suresh Gawande, N. N. Zade, Praveen Kumar, et al.
Molecular Biomedicine (2025) Vol. 6, Iss. 1
Open Access
Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments
Abdul Majeed, Seong Oun Hwang
Symmetry (2021) Vol. 14, Iss. 1, pp. 16-16
Open Access | Times Cited: 36
A Covid-19 Prediction Approach: Prediction of Infectious Disease Probability Using Machine Learning
Mohsen Asghari Ilani, Saba Moftakhar Tehran, Ashkan Kavei, et al.
(2024)
Open Access | Times Cited: 4
A new COVID-19 intubation prediction strategy using an intelligent feature selection and K-NN method
Zahra Asghari Varzaneh, Azam Orooji, Leila Erfannia, et al.
Informatics in Medicine Unlocked (2021) Vol. 28, pp. 100825-100825
Open Access | Times Cited: 31
Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
Ken Asada, Ken Takasawa, Hidenori Machino, et al.
Biomedicines (2021) Vol. 9, Iss. 11, pp. 1513-1513
Open Access | Times Cited: 21
Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning
Shunzaburo Ono, Masaaki Komatsu, Akira Sakai, et al.
Biomedicines (2022) Vol. 10, Iss. 5, pp. 1082-1082
Open Access | Times Cited: 15
Analysis of super-enhancer using machine learning and its application to medical biology
Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 7
Determination of the Severity and Percentage of COVID-19 Infection through a Hierarchical Deep Learning System
Sergio Ortiz, Fernando Rojas, Olga Valenzuela, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 4, pp. 535-535
Open Access | Times Cited: 11
AI for biofabrication
Chang Ren Zhou, C. Liu, Zhongxing Liao, et al.
Biofabrication (2024) Vol. 17, Iss. 1, pp. 012004-012004
Closed Access | Times Cited: 1
Ensemble deep honey architecture for COVID-19 prediction using CT scan and chest X-ray images
B. Bhaskar Reddy, M. Venkata Sudhakar, P. Rahul Reddy, et al.
Multimedia Systems (2023) Vol. 29, Iss. 4, pp. 2009-2035
Open Access | Times Cited: 4
Elements and COVID-19: A Comprehensive Overview of Studies on Their Blood/Urinary Levels and Supplementation with an Update on Clinical Trials
Agnieszka Ścibior, Ewa Wnuk
Biology (2022) Vol. 11, Iss. 2, pp. 215-215
Open Access | Times Cited: 6
Risk Assessment and Classification of Medical Device Software for the Internet of Medical Things
Irina Brass, Andrew Mkwashi
(2022), pp. 171-178
Open Access | Times Cited: 3
Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset
Mohammadreza Zandehshahvar, Marly van Assen, Eun Kyung Kim, et al.
Deleted Journal (2024)
Open Access
Learning from real world data about combinatorial treatment selection for COVID-19
Song Zhai, Zhiwei Zhang, Jiayu Liao, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 1
Learning lessons from the COVID-19 pandemic for real-world evidence research in oncology—shared perspectives from international consortia
Luís Castelo-Branco, Rebecca Lee, Marcelo Luiz Brandão, et al.
ESMO Open (2023) Vol. 8, Iss. 4, pp. 101596-101596
Open Access | Times Cited: 1
Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis
Changyu Wang, Siru Liu, Yu Tang, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46340-e46340
Open Access | Times Cited: 1
Diagnostic Test Accuracy of Deep Learning Prediction Models on COVID-19 Severity: Systematic Review and Meta-Analysis (Preprint)
Changyu Wang, Siru Liu, Yu Tang, et al.
(2023)
Open Access
Review of Machine Learning Advancements for Single-Cell Analysis
Nida Nasir, Mohammad Al‐Shabi, Nabeel Al‐Yateem, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2023), pp. 1383-1387
Closed Access
3. Medical AI Research and Development for Clinical Application
Ryuji Hamamoto
Nihon Naika Gakkai Zasshi (2023) Vol. 112, Iss. 9, pp. 1636-1642
Open Access
The Benefits of Technology in Healthcare Management
Sheryl Joane Dobson Wainwright
Advances in healthcare information systems and administration book series (2022), pp. 1-22
Closed Access
Forecasting COVID-19 Cases Using n-SARS-CoV-2 Variants
Soham Parekh, Rishabh Agarwal, Tanaya Jadhav, et al.
Communications in computer and information science (2022), pp. 133-144
Closed Access
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