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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:

Appraisal of the Sentinel-1 & 2 use in a large-scale wildfire assessment: A case study from Portugal's fires of 2017
Alexander R. Brown, George P. Petropoulos, Konstantinos P. Ferentinos
Applied Geography (2018) Vol. 100, pp. 78-89
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art
Prem Chandra Pandey, Nikos Koutsias, George P. Petropoulos, et al.
Geocarto International (2019) Vol. 36, Iss. 9, pp. 957-988
Closed Access | Times Cited: 164
Advancing forest fire prediction: A multi-layer stacking ensemble model approach
Fahad Shahzad, Kaleem Mehmood, Shoaib Ahmad Anees, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Closed Access | Times Cited: 2
Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data
Bahareh Kalantar, Naonori Ueda, Mohammed Oludare Idrees, et al.
Remote Sensing (2020) Vol. 12, Iss. 22, pp. 3682-3682
Open Access | Times Cited: 139
Hyperspectral remote sensing in precision agriculture: present status, challenges, and future trends
Prachi Singh, Prem Chandra Pandey, George P. Petropoulos, et al.
Elsevier eBooks (2020), pp. 121-146
Closed Access | Times Cited: 99
A methodology to estimate forest fires burned areas and burn severity degrees using Sentinel-2 data. Application to the October 2017 fires in the Iberian Peninsula
Rafael Llorens, José A. Sobrino, Cristina Fernández, et al.
International Journal of Applied Earth Observation and Geoinformation (2020) Vol. 95, pp. 102243-102243
Open Access | Times Cited: 97
CNN-based burned area mapping using radar and optical data
Miguel A. Belenguer-Plomer, Mihai A. Tanase, Emilio Chuvieco, et al.
Remote Sensing of Environment (2021) Vol. 260, pp. 112468-112468
Open Access | Times Cited: 74
Assessment of k-Nearest Neighbor and Random Forest Classifiers for Mapping Forest Fire Areas in Central Portugal Using Landsat-8, Sentinel-2, and Terra Imagery
Admilson da Penha Pachêco, Juarez Antonio da Silva, Antonio M. Ruiz‐Armenteros, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1345-1345
Open Access | Times Cited: 67
Wildfires in Europe: Burned soils require attention
Diana Vieira, Pasquale Borrelli, Dina Jahanianfard, et al.
Environmental Research (2022) Vol. 217, pp. 114936-114936
Open Access | Times Cited: 44
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
Sanjeev Sharma, Puskar Khanal
Fire (2024) Vol. 7, Iss. 6, pp. 205-205
Open Access | Times Cited: 9
What is wrong with post‐fire soil erosion modelling? A meta‐analysis on current approaches, research gaps, and future directions
Ana Lopes, Antonio Girona‐García, Sofia Corticeiro, et al.
Earth Surface Processes and Landforms (2020) Vol. 46, Iss. 1, pp. 205-219
Open Access | Times Cited: 68
Monthly Burned-Area Mapping using Multi-Sensor Integration of Sentinel-1 and Sentinel-2 and machine learning: Case Study of 2019's fire events in South Sumatra Province, Indonesia
Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma, Yenni Vetrita, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 27, pp. 100790-100790
Closed Access | Times Cited: 23
Remote Sensing Applications for Mapping Large Wildfires Based on Machine Learning and Time Series in Northwestern Portugal
Sarah Moura Batista dos Santos, Soltan Galano Duverger, António Bento‐Gonçalves, et al.
Fire (2023) Vol. 6, Iss. 2, pp. 43-43
Open Access | Times Cited: 15
Quantifying Land Cover Changes in a Mediterranean Environment Using Landsat TM and Support Vector Machines
Sotiria Fragou, Kleomenis Kalogeropoulos, Nikolaos Stathopoulos, et al.
Forests (2020) Vol. 11, Iss. 7, pp. 750-750
Open Access | Times Cited: 37
Iberian Peninsula October 2017 wildfires: Burned area and population exposure in Galicia (NW of Spain)
María Luisa Chas Amil, Eduardo García-Martínez, Julia Touza
International Journal of Disaster Risk Reduction (2020) Vol. 48, pp. 101623-101623
Closed Access | Times Cited: 35
Enhanced burn severity estimation using fine resolution ET and MESMA fraction images with machine learning algorithm
Carmen Quintano, Alfonso Fernández–Manso, Dar A. Roberts
Remote Sensing of Environment (2020) Vol. 244, pp. 111815-111815
Open Access | Times Cited: 33
Determining the likelihood of asset destruction during wildfires: Modelling house destruction with fire simulator outputs and local-scale landscape properties
Thomas J. Duff, Trent D. Penman
Safety Science (2021) Vol. 139, pp. 105196-105196
Closed Access | Times Cited: 28
A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks
Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5861-5861
Open Access | Times Cited: 22
Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia
Hammadi Achour, Ahmed Toujani, Hichem Trabelsi, et al.
Geocarto International (2021) Vol. 37, Iss. 24, pp. 7021-7040
Closed Access | Times Cited: 27
Mapping Burned Forest Areas in Western Yunnan, China, Using Multi-Source Optical Imagery Integrated with Simple Non-Iterative Clustering Segmentation and Random Forest Algorithms in Google Earth Engine
Yue Chen, Weili Kou, Wenna Miao, et al.
Remote Sensing (2025) Vol. 17, Iss. 5, pp. 741-741
Open Access
DLSR-FireCNet: A Deep Learning Framework for Burned Area Mapping Based on Decision Level Super-Resolution
Seyd Teymoor Seydi, Mojtaba Sadegh
Remote Sensing Applications Society and Environment (2025), pp. 101513-101513
Open Access
Design and evaluation of a cloud-oriented procedure based on SAR and Multispectral data to detect burnt areas
Cristina Vittucci, Flavio Cordari, Leila Guerriero, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 3
Open Access
Optical and radar remote sensing for burn scar mapping in a grassland biome
Talya R. Molema, Solomon G. Tesfamichael, Emmanuel Fundisi
Remote Sensing Applications Society and Environment (2025), pp. 101548-101548
Closed Access
Combining Low-Cost UAV Imagery with Machine Learning Classifiers for Accurate Land Use/Land Cover Mapping
Spyridon E. Detsikas, George P. Petropoulos, Kleomenis Kalogeropoulos, et al.
Earth (2024) Vol. 5, Iss. 2, pp. 244-254
Open Access | Times Cited: 3
Exploring the use of spectral indices to assess alterations in soil properties in pine stands affected by crown fire in Spain
Cristina Fernández, José María Fernández-Alonso, José A. Vega, et al.
Fire Ecology (2021) Vol. 17, Iss. 1
Open Access | Times Cited: 19
Integrating Remote Sensing Methods and Fire Simulation Models to Estimate Fire Hazard in a South-East Mediterranean Protected Area
Panteleimon Xofis, Pavlos Konstantinidis, Iakovos Papadopoulos, et al.
Fire (2020) Vol. 3, Iss. 3, pp. 31-31
Open Access | Times Cited: 20
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