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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 162 citing articles:

A review of modern technologies for tackling COVID-19 pandemic
Aishwarya Kumar, Puneet Kumar Gupta, Ankita Srivastava
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 4, pp. 569-573
Open Access | Times Cited: 352
An IoT-based framework for early identification and monitoring of COVID-19 cases
Mwaffaq Otoom, Nesreen Otoum, Mohammad A. Alzubaidi, et al.
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102149-102149
Open Access | Times Cited: 278
A systematic review of AI technology-based service encounters: Implications for hospitality and tourism operations
Minglong Li, Dexiang Yin, Hailian Qiu, et al.
International Journal of Hospitality Management (2021) Vol. 95, pp. 102930-102930
Closed Access | Times Cited: 226
COVID-19 open source data sets: a comprehensive survey
Junaid Shuja, Eisa Alanazi, Waleed Alasmary, et al.
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1296-1325
Open Access | Times Cited: 209
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei, Mohsen Azarmi
Applied Sciences (2020) Vol. 10, Iss. 21, pp. 7514-7514
Open Access | Times Cited: 167
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Access (2021) Vol. 9, pp. 95730-95753
Open Access | Times Cited: 158
Artificial Intelligence Adoption in the Post COVID-19 New-Normal and Role of Smart Technologies in Transforming Business: a Review
Pragati Agarwal, Sanjeev Swami, Sunita Kumari Malhotra
Journal of Science and Technology Policy Management (2022) Vol. 15, Iss. 3, pp. 506-529
Closed Access | Times Cited: 136
Survey of explainable artificial intelligence techniques for biomedical imaging with deep neural networks
Sajid Nazir, Diane M. Dickson, Muhammad Usman Akram
Computers in Biology and Medicine (2023) Vol. 156, pp. 106668-106668
Open Access | Times Cited: 120
Machine learning applications for COVID-19 outbreak management
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 18, pp. 15313-15348
Open Access | Times Cited: 93
Deep learning techniques for detection and prediction of pandemic diseases: a systematic literature review
Sunday Adeola Ajagbe, Matthew O. Adigun
Multimedia Tools and Applications (2023) Vol. 83, Iss. 2, pp. 5893-5927
Open Access | Times Cited: 68
Ensemble learning model for diagnosing COVID-19 from routine blood tests
Maryam AlJame, Imtiaz Ahmad, Ayyub Imtiaz, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100449-100449
Open Access | Times Cited: 128
Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network
Javeria Amin, Muhammad Sharif, Nadia Gul, et al.
Cognitive Computation (2021) Vol. 14, Iss. 5, pp. 1677-1688
Open Access | Times Cited: 99
Disaster and Pandemic Management Using Machine Learning: A Survey
Vinay Chamola, Vikas Hassija, Sakshi Gupta, et al.
IEEE Internet of Things Journal (2020) Vol. 8, Iss. 21, pp. 16047-16071
Open Access | Times Cited: 96
Digital technologies and collective intelligence for healthcare ecosystem: Optimizing Internet of Things adoption for pandemic management
Giustina Secundo, S. M. Riad Shams, Francesco Nucci
Journal of Business Research (2021) Vol. 131, pp. 563-572
Open Access | Times Cited: 90
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: 80
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 75
Mini-COVIDNet: Efficient Lightweight Deep Neural Network for Ultrasound Based Point-of-Care Detection of COVID-19
Navchetan Awasthi, Aveen Dayal, Linga Reddy Cenkeramaddi, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2021) Vol. 68, Iss. 6, pp. 2023-2037
Open Access | Times Cited: 68
The Promise of AI in Detection, Diagnosis, and Epidemiology for Combating COVID-19: Beyond the Hype
Musa Abdulkareem, Steffen E. Petersen
Frontiers in Artificial Intelligence (2021) Vol. 4
Open Access | Times Cited: 62
RETRACTED ARTICLE: Diagnosis and combating COVID-19 using wearable Oura smart ring with deep learning methods
M. Poongodi, Mounir Hamdi, Mohit Malviya, et al.
Personal and Ubiquitous Computing (2021) Vol. 26, Iss. 1, pp. 25-35
Open Access | Times Cited: 59
An Overview of Deep Learning Techniques on Chest X-Ray and CT Scan Identification of COVID-19
Serena Low Woan Ching, Joon Huang Chuah, Clarence Augustine TH Tee, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-17
Open Access | Times Cited: 59
Detecting COVID-19-Related Fake News Using Feature Extraction
Suleman Khan, Saqib Hakak, N. Deepa, et al.
Frontiers in Public Health (2022) Vol. 9
Open Access | Times Cited: 49
Clinical and Laboratory Approach to Diagnose COVID-19 Using Machine Learning
Krishnaraj Chadaga, Chinmay Chakraborty, Srikanth Prabhu, et al.
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 452-470
Open Access | Times Cited: 49
Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic review
Haseeb Hassan, Zhaoyu Ren, Chengmin Zhou, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 218, pp. 106731-106731
Open Access | Times Cited: 40
A novel multi-scale based deep convolutional neural network for detecting COVID-19 from X-rays
Mohan Karnati, Ayan Seal, Geet Sahu, et al.
Applied Soft Computing (2022) Vol. 125, pp. 109109-109109
Open Access | Times Cited: 39
Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 26
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