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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:

Modelling the COVID-19 Infection Trajectory: A Piecewise Linear Quantile Trend Model
Feiyu Jiang, Zifeng Zhao, Xiaofeng Shao
Journal of the Royal Statistical Society Series B (Statistical Methodology) (2021) Vol. 84, Iss. 5, pp. 1589-1607
Closed Access | Times Cited: 17

Showing 17 citing articles:

Mean stationarity test in time series: A signal variance-based approach
Hon Kiu To, Kin Wai Chan
Bernoulli (2024) Vol. 30, Iss. 2
Closed Access | Times Cited: 4
Multikink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis
Chuang Wan, Wei Zhong, Wenyang Zhang, et al.
Biometrics (2022) Vol. 79, Iss. 2, pp. 747-760
Open Access | Times Cited: 12
A NOVEL APPROACH TO PREDICTIVE ACCURACY TESTING IN NESTED ENVIRONMENTS
Jean‐Yves Pitarakis
Econometric Theory (2023), pp. 1-44
Open Access | Times Cited: 6
Robust change point detection for high‐dimensional linear models with tolerance for outliers and heavy tails
Zhi Yang, Liwen Zhang, Siyu Sun, et al.
Canadian Journal of Statistics (2024)
Closed Access | Times Cited: 1
Segmenting Time Series via Self-Normalisation
Zifeng Zhao, Feiyu Jiang, Xiaofeng Shao
Journal of the Royal Statistical Society Series B (Statistical Methodology) (2022) Vol. 84, Iss. 5, pp. 1699-1725
Open Access | Times Cited: 8
A Composite Likelihood-Based Approach for Change-Point Detection in Spatio-Temporal Processes
Zifeng Zhao, Ting Fung, Wai Leong Ng, et al.
Journal of the American Statistical Association (2024) Vol. 119, Iss. 548, pp. 3086-3100
Closed Access | Times Cited: 1
Two-sample and change-point inference for non-Euclidean valued time series
Feiyu Jiang, Changbo Zhu, Xiaofeng Shao
Electronic Journal of Statistics (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1
Simple epidemic models with segmentation can be better than complex ones
Geon Lee, Se-eun Yoon, Kijung Shin
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262244-e0262244
Open Access | Times Cited: 5
A new time-varying coefficient regression approach for analyzing infectious disease data
Juxin Liu, Brandon K. Bellows, X. Joan Hu, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Testing for changes in linear models using weighted residuals
Lajos Horváth, Gregory Rice, Yuqian Zhao
Journal of Multivariate Analysis (2023) Vol. 198, pp. 105210-105210
Closed Access | Times Cited: 2
Bayesian analysis of the COVID-19 pandemic using a Poisson process with change-points
Masoud Majidizadeh
Monte Carlo Methods and Applications (2024) Vol. 30, Iss. 4, pp. 449-465
Closed Access
Multiphasic stochastic epidemic models
Petros Barmpounakis, Nikolaos Demiris
Journal of the Royal Statistical Society Series C (Applied Statistics) (2024)
Open Access
A General Framework for Constructing Locally Self-Normalized Multiple-Change-Point Tests
Cheuk Hin Cheng, Kin Wai Chan
Journal of Business and Economic Statistics (2023) Vol. 42, Iss. 2, pp. 719-731
Open Access | Times Cited: 1
A New Class of Weighted CUSUM Statistics
Xiaoping Shi, Xiangsheng Wang, Nancy Reid
Entropy (2022) Vol. 24, Iss. 11, pp. 1652-1652
Open Access | Times Cited: 1
Understanding spatiotemporal variation of social vulnerabilities from longitudinal hurricane-pandemic data: A multilevel model of the Covid-19 pandemic during hurricane Sally in Florida
Seyed Reza Abazari, O. Arda Vanli, Onur Alişan, et al.
International Journal of Disaster Risk Reduction (2023) Vol. 98, pp. 104095-104095
Open Access
A study on estimating piecewise linear trend model using the simple moving average of differenced time series
Okyoung Na
Korean Journal of Applied Statistics (2023) Vol. 36, Iss. 6, pp. 613-629
Closed Access
A study on estimating piecewise linear trend model using the simple moving average of differenced time series
Okyoung Na
Korean Journal of Applied Statistics (2023) Vol. 36, Iss. 6, pp. 573-589
Open Access
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