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:

COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review
Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 13, Iss. 2, pp. 153-175
Open Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

A Comprehensive Review of Multiple Criteria Decision-Making (MCDM) Methods: Advancements, Applications, and Future Directions
Sushil Kumar Sahoo, Shankha Shubhra Goswami
Decision Making Advances (2023) Vol. 1, Iss. 1, pp. 25-48
Open Access | Times Cited: 210

Molecular pathways involved in COVID-19 and potential pathway-based therapeutic targets
Masoumeh Farahani, Zahra Niknam, Leila Mohammadi Amirabad, et al.
Biomedicine & Pharmacotherapy (2021) Vol. 145, pp. 112420-112420
Open Access | Times Cited: 99

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

Artificial intelligence for medicine: Progress, challenges, and perspectives
Tao Huang, Huiyu Xu, Haitao Wang, et al.
The Innovation Medicine (2023) Vol. 1, Iss. 2, pp. 100030-100030
Open Access | Times Cited: 27

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: 25

COVID-19-The Role of Artificial Intelligence, Machine Learning, and Deep Learning: A Newfangled
Dasari Naga Vinod, S. R. S. Prabaharan
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2667-2682
Open Access | Times Cited: 25

Artificial Intelligence and COVID-19: A Systematic umbrella review and roads ahead
Amina Adadi, Mohammed Lahmer, Samia Nasiri
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 5898-5920
Open Access | Times Cited: 42

The application of a deep learning system developed to reduce the time for RT-PCR in COVID-19 detection
Yoonje Lee, Yu-Seop Kim, Dain Lee, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27

Strategies to Improve the Impact of Artificial Intelligence on Health Equity: Scoping Review
Carl T. Berdahl, Lawrence Baker, Sean Mann, et al.
JMIR AI (2023) Vol. 2, pp. e42936-e42936
Open Access | Times Cited: 18

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic
Sreejith Balasubramanian, Vinaya Shukla, Nazrul Islam, et al.
International Journal of Production Research (2023), pp. 1-34
Open Access | Times Cited: 17

COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale
Wenliang Zhang, Yan Zhang, Zhuochao Min, et al.
Nucleic Acids Research (2021) Vol. 50, Iss. D1, pp. D747-D757
Open Access | Times Cited: 37

COVID-19 Modeling: A Review
Longbing Cao, Qing Liu
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21

Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis
M. Saqib Nawaz, Philippe Fournier‐Viger, Memoona Aslam, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 21920-21943
Closed Access | Times Cited: 11

Artificial Intelligence in Drug Discovery and Development Against Antimicrobial Resistance: A Narrative Review
Mustafa Ghaderzadeh, Armin Shalchian, Gholamreza Irajian, et al.
Iranian Journal of Medical Microbiology (2024) Vol. 18, Iss. 3, pp. 135-147
Open Access | Times Cited: 3

Predictive Model for Mortality in Severe COVID-19 Patients across the Six Pandemic Waves
Nazaret Casillas, Antonio Ramón, Ana Torres, et al.
Viruses (2023) Vol. 15, Iss. 11, pp. 2184-2184
Open Access | Times Cited: 10

Clinical decision support systems (CDSS) in assistance to COVID‐19 diagnosis: A scoping review on types and evaluation methods
Arefeh Ameri, Atefeh Ameri, Farzad Salmanizadeh, et al.
Health Science Reports (2024) Vol. 7, Iss. 2
Open Access | Times Cited: 2

Perspectives on the future of host-microbe biology from the Council on Microbial Sciences of the American Society for Microbiology
Mónica Cartelle Gestal, A. Elizabeth Oates, Denise M. Akob, et al.
mSphere (2024) Vol. 9, Iss. 7
Open Access | Times Cited: 2

COVID-19 Modeling: A Review
Longbing Cao, Qing Liu
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-42
Open Access | Times Cited: 2

Intelligent Facemask Coverage Detector in a World of Chaos
Sadaf Waziry, Ahmad Bilal Wardak, Jawad Rasheed, et al.
Processes (2022) Vol. 10, Iss. 9, pp. 1710-1710
Open Access | Times Cited: 14

Adoption of Digital Vaccination Services: It Is the Click Flow, Not the Value—An Empirical Analysis of the Vaccination Management of the COVID-19 Pandemic in Germany
Alexander Alscher, Benedikt Schnellbächer, Christian Wissing
Vaccines (2023) Vol. 11, Iss. 4, pp. 750-750
Open Access | Times Cited: 6

Personalized Assessment of Mortality Risk and Hospital Stay Duration in Hospitalized Patients with COVID-19 Treated with Remdesivir: A Machine Learning Approach
Antonio Ramón, Andrés Bas, Santiago Herrero, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 7, pp. 1837-1837
Open Access | Times Cited: 1

A Hybrid Deep Fused Learning Approach to Segregate Infectious Diseases
Jawad Rasheed, Shtwai Alsubai
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 2, pp. 4239-4259
Open Access | Times Cited: 8

Using Artificial Intelligence for COVID-19 Detection in Blood Exams: A Comparative Analysis
Andrea Loddo, Giacomo Meloni, Barbara Pes
IEEE Access (2022) Vol. 10, pp. 119593-119606
Open Access | Times Cited: 8

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