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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.

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Showing 1-25 of 264 citing articles:

Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
Michael Roberts, Derek Driggs, Matthew Thorpe, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 3, pp. 199-217
Open Access | Times Cited: 894
The Recent Progress and Applications of Digital Technologies in Healthcare: A Review
Maksut Senbekov, Timur Saliev, Zhanar Bukeyeva, et al.
International Journal of Telemedicine and Applications (2020) Vol. 2020, pp. 1-18
Open Access | Times Cited: 248
Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment
Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Ahmad Salim, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 21, pp. 15919-15928
Open Access | Times Cited: 178
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: 163
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
The applications of MCDM methods in COVID-19 pandemic: A state of the art review
Alireza Sotoudeh-Anvari
Applied Soft Computing (2022) Vol. 126, pp. 109238-109238
Open Access | Times Cited: 134
Comparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessment
Seda Hezer, Emel Gelmez, Eren Özceylan
Journal of Infection and Public Health (2021) Vol. 14, Iss. 6, pp. 775-786
Open Access | Times Cited: 127
Classification of COVID-19 chest X-Ray and CT images using a type of dynamic CNN modification method
Guangyu Jia, Hak‐Keung Lam, Yujia Xu
Computers in Biology and Medicine (2021) Vol. 134, pp. 104425-104425
Open Access | Times Cited: 118
Applications of Big Data Analytics to Control COVID-19 Pandemic
Shikah J. Alsunaidi, Abdullah M. Almuhaideb, Nehad M. Ibrahim, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2282-2282
Open Access | Times Cited: 107
Evaluation of government strategies against COVID-19 pandemic using q-rung orthopair fuzzy TOPSIS method
Nurşah Alkan, Cengiz Kahraman
Applied Soft Computing (2021) Vol. 110, pp. 107653-107653
Open Access | Times Cited: 105
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 44
A systematic review of trustworthy artificial intelligence applications in natural disasters
A. S. Albahri, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, et al.
Computers & Electrical Engineering (2024) Vol. 118, pp. 109409-109409
Open Access | Times Cited: 32
Multi-Biological Laboratory Examination Framework for the Prioritization of Patients with COVID-19 Based on Integrated AHP and Group VIKOR Methods
A. S. Albahri, Jameel R. Al‐Obaidi, A. A. Zaidan, et al.
International Journal of Information Technology & Decision Making (2020) Vol. 19, Iss. 05, pp. 1247-1269
Closed Access | Times Cited: 96
Detection-based prioritisation: Framework of multi-laboratory characteristics for asymptomatic COVID-19 carriers based on integrated Entropy–TOPSIS methods
A. S. Albahri, Rula A. Hamid, O. S. Albahri, et al.
Artificial Intelligence in Medicine (2020) Vol. 111, pp. 101983-101983
Open Access | Times Cited: 96
Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method
R. T. Mohammed, A. A. Zaidan, Razali Yaakob, et al.
International Journal of Information Technology & Decision Making (2021) Vol. 21, Iss. 01, pp. 195-241
Closed Access | Times Cited: 93
Transfer learning–based ensemble support vector machine model for automated COVID-19 detection using lung computerized tomography scan data
Mukul Singh, Shrey Bansal, Sakshi Ahuja, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 4, pp. 825-839
Open Access | Times Cited: 92
Interval type 2 trapezoidal‐fuzzy weighted with zero inconsistency combined with VIKOR for evaluating smart e‐tourism applications
Elaiyaraja Krishnan, R. T. Mohammed, Alhamzah Alnoor, et al.
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 9, pp. 4723-4774
Open Access | Times Cited: 83
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic
Muhammad Nazrul Islam, Toki Tahmid Inan, S. Rafi, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 3, pp. 258-270
Open Access | Times Cited: 80
Current limitations to identify COVID-19 using artificial intelligence with chest X-ray imaging
José Daniel López-Cabrera, Rubén Orozco‐Morales, Jorge Armando Portal-Díaz, et al.
Health and Technology (2021) Vol. 11, Iss. 2, pp. 411-424
Open Access | Times Cited: 79
An Analysis Review of Detection Coronavirus Disease 2019 (COVID-19) Based on Biosensor Application
Bakr Ahmed Taha, Yousif Al Mashhadany, Mohd Hadri Hafiz Mokhtar, et al.
Sensors (2020) Vol. 20, Iss. 23, pp. 6764-6764
Open Access | Times Cited: 77
Hybrid artificial neural network and structural equation modelling techniques: a survey
A. S. Albahri, Alhamzah Alnoor, A. A. Zaidan, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 2, pp. 1781-1801
Open Access | Times Cited: 77
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
M. A. Alsalem, R. T. Mohammed, O. S. Albahri, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 6, pp. 3514-3624
Open Access | Times Cited: 77
Based on T-spherical fuzzy environment: A combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
M.A. Alsalem, Hassan A. Alsattar, A. S. Albahri, et al.
Journal of Infection and Public Health (2021) Vol. 14, Iss. 10, pp. 1513-1559
Open Access | Times Cited: 76
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
Novel dynamic fuzzy Decision-Making framework for COVID-19 vaccine dose recipients
O. S. Albahri, A. A. Zaidan, A. S. Albahri, et al.
Journal of Advanced Research (2021) Vol. 37, pp. 147-168
Open Access | Times Cited: 69
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