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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.

Requested Article:

A Novel Matrix Profile-Guided Attention LSTM Model for Forecasting COVID-19 Cases in USA
Qian Liu, Daryl L. X. Fung, Leann Lac, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 10

Showing 10 citing articles:

Matrix Profile data mining for BGP anomaly detection
Ben Scott, Michael N. Johnstone, Patryk Szewczyk, et al.
Computer Networks (2024) Vol. 242, pp. 110257-110257
Open Access | Times Cited: 9
Short-term forecasting of COVID-19 using support vector regression: An application using Zimbabwean data
Claris Shoko, Caston Sigauke
American Journal of Infection Control (2023) Vol. 51, Iss. 10, pp. 1095-1107
Open Access | Times Cited: 16
A data-driven combined prediction method for the demand for intensive care unit healthcare resources in public health emergencies
Weiwei Zhang, Xinchun Li
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning Methods
C. Allen Butler, Martin Crane
Mathematics (2023) Vol. 11, Iss. 9, pp. 2212-2212
Open Access | Times Cited: 6
Progress and prospects of future urban health status prediction
Zhihao Xu, Zhiqiang Lv, Benjia Chu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107573-107573
Closed Access | Times Cited: 4
Calculating the matrix profile from noisy data
Colin Hehir, Alan F. Smeaton
PLoS ONE (2023) Vol. 18, Iss. 6, pp. e0286763-e0286763
Open Access | Times Cited: 3
Predicting COVID-19 Fourth Wave Incidence in India Using Machine Learning Algorithms and SEIR Model
Satya Prakash, Pooja Pathak, Anand Singh Jalal
2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2022)
Closed Access | Times Cited: 5
Time series prediction of the COVID-19 outbreak in India using LSTM based deep learning models
Ameet, Chhavi Rana
(2023), pp. 1-5
Closed Access | Times Cited: 2
Forecasting daily COVID-19 cases with gradient boosted regression trees and other methods: evidence from U.S. cities
Anindya Sen, Nathaniel T. Stevens, Nam Tran, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 2
How Effective are Time Series Models for Pandemic Forecasting?
Subas Rana, John A. Miller, John Nesbit, et al.
Lecture notes in computer science (2024), pp. 3-17
Closed Access
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