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:
Machine Learning Approach for Forecast Analysis of Novel COVID-19 Scenarios in India
Ankit Kumar Srivastava, Saurabh Tripathi, Sachin Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 95106-95124
Open Access | Times Cited: 8
Ankit Kumar Srivastava, Saurabh Tripathi, Sachin Kumar, et al.
IEEE Access (2022) Vol. 10, pp. 95106-95124
Open Access | Times Cited: 8
Showing 8 citing articles:
Scenario construction and evolutionary analysis of nonconventional public health emergencies based on Bayesian networks
Yutao Zhu, Qing Yang, Lingmei Fu, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Yutao Zhu, Qing Yang, Lingmei Fu, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access
Covid-19 epidemic and regional carbon emissions: A study based on metabolic multivariate grey model with new information priority
Pingping Xiong, Xiaojie Wu, Xiaosu Zeng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106820-106820
Closed Access | Times Cited: 10
Pingping Xiong, Xiaojie Wu, Xiaosu Zeng, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106820-106820
Closed Access | Times Cited: 10
AI-based epidemic and pandemic early warning systems: A systematic scoping review
Christo El Morr, Deniz Ozdemir, Yasmeen Asdaah, et al.
Health Informatics Journal (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 3
Christo El Morr, Deniz Ozdemir, Yasmeen Asdaah, et al.
Health Informatics Journal (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 3
Machine learning models for forecasting and estimation of business operations
Shaik Fayaz Ahamed, Vijayasankar Anumala, M Thenmozhi, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 1, pp. 100455-100455
Closed Access | Times Cited: 7
Shaik Fayaz Ahamed, Vijayasankar Anumala, M Thenmozhi, et al.
The Journal of High Technology Management Research (2023) Vol. 34, Iss. 1, pp. 100455-100455
Closed Access | Times Cited: 7
Impact and Response: Analysing the Present Scenario of COVID-19 in India
Suresh Kashinath Ghatge, Anuradha Parasar
(2024)
Open Access
Suresh Kashinath Ghatge, Anuradha Parasar
(2024)
Open Access
Predicting the transmission trends of COVID-19: an interpretable machine learning approach based on daily, death, and imported cases
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
Hyeonjeong Ahn, Hyojung Lee
Mathematical Biosciences & Engineering (2024) Vol. 21, Iss. 5, pp. 6150-6166
Open Access
Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks
Anil Verma, Lalit Chandra Routhu, Rishikant Chigrupaatii, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4438-4447
Closed Access
Anil Verma, Lalit Chandra Routhu, Rishikant Chigrupaatii, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 4438-4447
Closed Access
Statistical Analysis of the Impact of COVID-19 on PM2.5 Concentrations in Downtown Quito during the Lockdowns in 2020
Wilmar Hernández, Francisco José Arqués Orobón, Vicente González‐Posadas, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8985-8985
Open Access
Wilmar Hernández, Francisco José Arqués Orobón, Vicente González‐Posadas, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8985-8985
Open Access
