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 (AI) to control COVID-19 pandemic: Current status and future prospects
Sumel Ashique, Neeraj Mishra, Sourav Mohanto, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25754-e25754
Open Access | Times Cited: 6
Sumel Ashique, Neeraj Mishra, Sourav Mohanto, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25754-e25754
Open Access | Times Cited: 6
Showing 6 citing articles:
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
Mayur Suresh Gawande, N. N. Zade, Praveen Kumar, et al.
Molecular Biomedicine (2025) Vol. 6, Iss. 1
Open Access
<b>Memanfaatkan Kecerdasan Buatan dan Pembelajaran Mesin dalam Inovasi Farmasi</b>
Raymond R. Tjandrawinata
MEDICINUS (2025) Vol. 38, Iss. 2, pp. 28-35
Open Access
Raymond R. Tjandrawinata
MEDICINUS (2025) Vol. 38, Iss. 2, pp. 28-35
Open Access
The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence
Malik Sallam, Maad M. Mijwil, Mostafa Abotaleb, et al.
Advances in computational intelligence and robotics book series (2025), pp. 473-504
Closed Access
Malik Sallam, Maad M. Mijwil, Mostafa Abotaleb, et al.
Advances in computational intelligence and robotics book series (2025), pp. 473-504
Closed Access
Harnessing the power of artificial intelligence for disease-surveillance purposes
Barbara Tornimbene, Zoila Beatriz Leiva Rioja, John S. Brownstein, et al.
BMC Proceedings (2025) Vol. 19, Iss. S4
Open Access
Barbara Tornimbene, Zoila Beatriz Leiva Rioja, John S. Brownstein, et al.
BMC Proceedings (2025) Vol. 19, Iss. S4
Open Access
Towards XAI agnostic explainability to assess differential diagnosis for Meningitis diseases
Aya Messai, Ahlem Drif, Amel Ouyahia, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025052-025052
Open Access | Times Cited: 1
Aya Messai, Ahlem Drif, Amel Ouyahia, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025052-025052
Open Access | Times Cited: 1
A Machine Learning Model for the Prediction of COVID-19 Severity Using RNA-Seq, Clinical, and Co-Morbidity Data
Sahil Sethi, Sushil Kumar Shakyawar, Athreya S. Reddy, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1284-1284
Open Access
Sahil Sethi, Sushil Kumar Shakyawar, Athreya S. Reddy, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1284-1284
Open Access
Applications of reinforcement learning, machine learning, and virtual screening in SARS-CoV-2-related proteins
Yasunari Matsuzaka, Ryu Yashiro
Computing and artificial intelligence. (2024) Vol. 2, Iss. 2, pp. 1279-1279
Closed Access
Yasunari Matsuzaka, Ryu Yashiro
Computing and artificial intelligence. (2024) Vol. 2, Iss. 2, pp. 1279-1279
Closed Access
