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 new validity clustering index-based on finding new centroid positions using the mean of clustered data to determine the optimum number of clusters
Ahmed Khaldoon Abdalameer, Mohammed Alswaitti, Ahmed Adnan Alsudani, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116329-116329
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Finding compact and well-separated clusters: Clustering using silhouette coefficients
Adil Bagirov, Ramiz M. Aliguliyev, Nargiz Sultanova
Pattern Recognition (2022) Vol. 135, pp. 109144-109144
Closed Access | Times Cited: 103

Comparison and application of SOFM, fuzzy c-means and k-means clustering algorithms for natural soil environment regionalization in China
Wenhao Zhao, Jin Ma, Qiyuan Liu, et al.
Environmental Research (2022) Vol. 216, pp. 114519-114519
Closed Access | Times Cited: 23

Deep clustering framework review using multicriteria evaluation
Frédéric Ros, Rabia Riad, Serge Guillaume
Knowledge-Based Systems (2024) Vol. 285, pp. 111315-111315
Closed Access | Times Cited: 4

Advanced machine learning-driven characterization of new natural cellulosic Lablab purpureus fibers through PCA and K-means clustering techniques
M. Ramesh, M. Tamil Selvan, P. Sreenivas, et al.
International Journal of Biological Macromolecules (2025) Vol. 306, pp. 141589-141589
Closed Access

Approaches for finding Optimal Number of Clusters using K-Means and Agglomerative Hierarchical Clustering Techniques
Punyaban Patel, Borra Sivaiah, Riyam Patel
2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) (2022), pp. 1-6
Closed Access | Times Cited: 21

Adaptive weighted fuzzy clustering based on intra-cluster data divergence
Ziheng Wu, Yuan Zhao, Wenyan Wang, et al.
Neurocomputing (2023) Vol. 552, pp. 126550-126550
Closed Access | Times Cited: 7

Terrestrial nanoparticle contaminants and geospatial optics using the Sentinel-3B OLCI satellite in the Tinto River estuary region of the Iberian Peninsula
Alcindo Neckel, Marcos L.S. Oliveira, Laércio Stolfo Maculan, et al.
Marine Pollution Bulletin (2022) Vol. 187, pp. 114525-114525
Open Access | Times Cited: 9

An effective clustering scheme for high-dimensional data
Xuansen He, Fan He, Yueping Fan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 45001-45045
Closed Access | Times Cited: 5

Nanoparticles in terrestrial sediments and the behavior of the spectral optics of Sentinel-3B OLCI Satellite images in a river basin of UNESCO World Cultural and Natural Heritage
Alex Castro, Brian William Bodah, Alcindo Neckel, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 19, pp. 28040-28061
Closed Access | Times Cited: 1

A review of unsupervised k-value selection techniques in clustering algorithms
Ana Pegado-Bardayo, Antonio Lorenzo-Espejo, Jesús Muñuzuri, et al.
Journal of Industrial Engineering and Management (2024) Vol. 17, Iss. 3, pp. 641-641
Open Access | Times Cited: 1

Cluster Validity Index for Uncertain Data Based on a Probabilistic Distance Measure in Feature Space
Changwan Ko, Jae-Seung Baek, Behnam Tavakkol, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3708-3708
Open Access | Times Cited: 4

Automatic update strategy for real-time discovery of hidden customer intents in chatbot systems
Hugo D. Rebelo, Lucas Ávila Oliveira, Gustavo Almeida, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108529-108529
Closed Access | Times Cited: 6

Nanoparticles containing hazardous elements and the spatial optics of the Sentinel-3B OLCI satellite in Amazonian rivers: a potential tool to understand environmental impacts
Luís F.O. Silva, Brian William Bodah, Liliana P. Lozano, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 29, pp. 73780-73798
Closed Access | Times Cited: 3

RETRACTED: Study on cluster centers optimization of max-min distance k-means clustering algorithm based on inter-cluster separation measure
Wenhao Xie, Lei Lin, Liu Xiang-yi, et al.
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 7839-7857
Closed Access

A Study of Various Clustering Algorithms for Image Segmentation
Babitha Lokula, L V Narasimha Prasad, Ramakrishna Tirumuri
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) (2024), pp. 1662-1668
Closed Access

Geochemistry and the optics of geospatial analysis as a preposition of water quality on a macroscale
Liliana P Lozano, Manal F. Abou Taleb, Mohamed M. Ibrahim, et al.
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 22, pp. 32614-32636
Closed Access

Trends in Unsupervised Methodologies for Optimal K-Value Selection in Clustering Algorithms
Ana Pegado-Bardayo, Jesús Muñuzuri, Alejandro Escudero-Santana, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 282-287
Closed Access

A Predictive Framework for Last-Mile Delivery Routes Considering Couriers’ Behavior Heterogeneity
Ana Pegado-Bardayo, Antonio Lorenzo-Espejo, Jesús Muñuzuri, et al.
(2024)
Closed Access

Modeling Residential Energy Consumption Patterns with Machine Learning Methods Based on a Case Study in Brazil
Lucas Henriques, Cecília Castro, Felipe Prata, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 1961-1961
Open Access

A Predictive Framework for Last-Mile Delivery Routes Considering Couriers’ Behavior Heterogeneity
Ana Pegado-Bardayo, Antonio Lorenzo-Espejo, Jesús Muñuzuri, et al.
(2024)
Closed Access

Centroid-based clustering validity: method and application to quantification of optimal cluster-data space
Sy Dzung Nguyen
Soft Computing (2024) Vol. 28, Iss. 19, pp. 10853-10872
Closed Access

An optimized cluster validity index for identification of cancer mediating genes
Subir Hazra, Anupam Ghosh
Multimedia Tools and Applications (2024)
Closed Access

A predictive framework for last-mile delivery routes considering couriers’ behavior heterogeneity
Ana Pegado-Bardayo, Antonio Lorenzo-Espejo, Jesús Muñuzuri, et al.
Computers & Industrial Engineering (2024), pp. 110665-110665
Closed Access

Finding Compact and Well-Separated Clusters
Adil Bagirov, Napsu Karmitsa, Sona Taheri
Unsupervised and semi-supervised learning (2024), pp. 269-275
Closed Access

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