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:

Machine Learning-Based Classification of Asbestos-Containing Roofs Using Airborne RGB and Thermal Imagery
Gordana Kaplan, Mateo Gašparović, Onur Kaplan, et al.
Sustainability (2023) Vol. 15, Iss. 7, pp. 6067-6067
Open Access | Times Cited: 9

Showing 9 citing articles:

Analysis of Asbestos-Cement Roof Classification in Urban Areas: Supervised And Unsupervised Methods with Multispectral and Hyperspectral Remote Sensing
Manuel Saba, Carlos Castrillón-Ortíz, David Valdelamar-Martínez, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101464-101464
Open Access

A novel NDSM fusion approach to improve UAV-Based LCC accuracy in sloping urban areas
Umut Güneş Sefercik, Ilyas Aydin, Mertcan Nazar, et al.
European Journal of Remote Sensing (2025) Vol. 58, Iss. 1
Open Access

Application of machine learning models for asbestos cement detection in multispectral images
Gabriel Elías Chanchí Golondrino, Manuel Alejandro Ospina Alarcón, Manuel Saba
Ingeniería y Competitividad (2025) Vol. 27, Iss. 1
Closed Access

Proposal of a computational method for asbestos detection in hyperspectral images based on the identification of prominent peaks in the spectral signature
Gabriel Elías Chanchí Golondrino, Manuel Alejandro Ospina Alarcón, Manuel Saba
Revista de Investigación Desarrollo e Innovación (2025) Vol. 15, Iss. 1, pp. 119-138
Open Access

Assessing thermal imagery integration into object detection methods on air-based collection platforms
James Gallagher, Edward J. Oughton
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 8

Multi-temporal change detection of asbestos roofing: A hybrid object-based deep learning framework with post-classification structure
Mohammad Abbasi, Benyamin Hosseiny, Rodney A. Stewart, et al.
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101167-101167
Open Access | Times Cited: 2

Remote Detection of Asbestos-Cement Roofs: Evaluating a QGIS Plugin in a low- and middle-income country
Pauline Gluski, Juan Pablo Ramos-Bonilla, Jasmine Rita Petriglieri, et al.
Remote Sensing Applications Society and Environment (2024), pp. 101351-101351
Open Access | Times Cited: 1

Explainable Automatic Detection of Fiber–Cement Roofs in Aerial RGB Images
Davoud Omarzadeh, Adonis González-Godoy, Cristina Bustos, et al.
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1342-1342
Open Access

Logistics-based design of collection system for asbeston-containing roof structures
Tamás Bányai
Advanced Logistic Systems - Theory and Practice (2023) Vol. 17, Iss. 3, pp. 59-67
Open Access

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