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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:

Community mobility in the European regions during COVID-19 pandemic: A partitioning around medoids with noise cluster based on space–time autoregressive models
Pierpaolo D’Urso, Massimo Mucciardi, Edoardo Otranto, et al.
Spatial Statistics (2021) Vol. 49, pp. 100531-100531
Open Access | Times Cited: 13

Showing 13 citing articles:

A weighted approach for spatio-temporal clustering of COVID-19 spread in Italy
Raffaele Mattera
Spatial and Spatio-temporal Epidemiology (2022) Vol. 41, pp. 100500-100500
Open Access | Times Cited: 16
Fuzzy clustering of spatial interval-valued data
Pierpaolo D’Urso, Livia De Giovanni, Lorenzo Federico, et al.
Spatial Statistics (2023) Vol. 57, pp. 100764-100764
Open Access | Times Cited: 8
Unsupervised Change Detection in Wide-Field Video Images Under Low Illumination
Baoqiang Shi, Zhenhong Jia, Jie Yang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 33, Iss. 4, pp. 1564-1576
Open Access | Times Cited: 9
Customer Segmentation For Digital Marketing Based on Shopping Patterns
Juhaini Alie, Rendra Gustriansyah
Jurnal Aplikasi Bisnis dan Manajemen (2024)
Open Access | Times Cited: 1
Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe
Andrea Bucci, Luigi Ippoliti, Pasquale Valentini, et al.
Spatial Statistics (2021) Vol. 49, pp. 100543-100543
Open Access | Times Cited: 10
OWA-based robust fuzzy clustering of time series with typicality degrees
Pierpaolo D’Urso, Jacek M. Łęski
Information Sciences (2023) Vol. 651, pp. 119706-119706
Open Access | Times Cited: 3
Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States
Kevin Dayaratna, Drew Gonshorowski, Mary Kolesar
Journal of Applied Statistics (2022) Vol. 50, Iss. 11-12, pp. 2663-2680
Open Access | Times Cited: 3
Enhancing decision credibility in transport safety through a modified IPSI–EXPROM Ⅱ–PAM model with kernel density estimation
Jiahao Wang, Ze Li, Zeyu Guo, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102950-102950
Closed Access
A Hybrid Machine Learning Model for Market Clustering
Rendra Gustriansyah, Juhaini Alie, Nazori Suhandi
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 6, pp. 18824-18828
Open Access
Poisson spatial autoregressive (SAR) for estimating factors influencing covid-19
Gusmi Kholijah, Niken Rarasati, Corry Sormin
Jurnal Matematika Dan Ilmu Pengetahuan Alam LLDikti Wilayah 1 (JUMPA) (2023) Vol. 4, Iss. 1, pp. 57-64
Open Access | Times Cited: 1
The transformation from Pandemic to Endemic of Covid-19: Spatio-temporal Analysis of Citizen Mobility in Asia Countries
Samuel Ady Sanjaya, Suyoto Suyoto
2022 13th International Conference on Information and Communication Technology Convergence (ICTC) (2022), pp. 420-424
Closed Access | Times Cited: 1
Methodologies for Measuring Mobility in Covid-19 Research
Zsanett Zsigó
Economic and Regional Studies / Studia Ekonomiczne i Regionalne (2023) Vol. 16, Iss. 2, pp. 186-202
Open Access
Sentiment and Mobility Analysis on COVID-19 Restrictions with Autoencoder
Weldy Sujarmanto, Merpati Vortuna Amerta Nalle, Nurul Maulida, et al.
(2022) Vol. 4, pp. 199-206
Closed Access
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