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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:

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

Showing 1-25 of 33 citing articles:

How fire interacts with habitat loss and fragmentation
Don A. Driscoll, Dolors Armenteras, Andrew F. Bennett, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2021) Vol. 96, Iss. 3, pp. 976-998
Open Access | Times Cited: 116
Remote Sensing of Forest Burnt Area, Burn Severity, and Post-Fire Recovery: A Review
Eldar Kurbanov, Oleg Vorobev, С.А. Лежнин, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4714-4714
Open Access | Times Cited: 53
Grain yield prediction using multi-temporal UAV-based multispectral vegetation indices and endmember abundance in rice
Xi Su, Jiacheng Wang, Ding Lu, et al.
Field Crops Research (2023) Vol. 299, pp. 108992-108992
Closed Access | Times Cited: 24
Fractional vegetation cover ratio estimated from radiative transfer modeling outperforms spectral indices to assess fire severity in several Mediterranean plant communities
José Manuel Fernández‐Guisuraga, Leonor Calvo, Carmen Quintano, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113542-113542
Open Access | Times Cited: 23
Enhancing wildfire mapping accuracy using mono-temporal Sentinel-2 data: A novel approach through qualitative and quantitative feature selection with explainable AI
Linh Nguyen Van, Vinh Ngoc Tran, Giang V. Nguyen, et al.
Ecological Informatics (2024) Vol. 81, pp. 102601-102601
Open Access | Times Cited: 13
Post-Fire Burned Area Detection Using Machine Learning and Burn Severity Classification with Spectral Indices in İzmir: A SHAP-Driven XAI Approach
Halil İbrahim Gündüz, Ahmet Tarık TORUN, Cemil Gezgin
Fire (2025) Vol. 8, Iss. 4, pp. 121-121
Open Access | Times Cited: 1
First evaluation of fire severity retrieval from PRISMA hyperspectral data
Carmen Quintano, Leonor Calvo, Alfonso Fernández–Manso, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113670-113670
Open Access | Times Cited: 21
Vegetation regeneration dynamics of a natural mediterranean ecosystem following a wildfire exploiting the LANDSAT archive, google earth engine and geospatial analysis techniques
Ioannis Lemesios, George P. Petropoulos
Remote Sensing Applications Society and Environment (2024) Vol. 34, pp. 101153-101153
Closed Access | Times Cited: 7
Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review
Vicente García‐Santos, Juan Manuel Sánchez, Joan Cuxart
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3440-3440
Open Access | Times Cited: 28
Machine learning for prehospital care of patients with severe burns
Mohammad Vakili Ojarood, Tahereh Yaghoubi, Ramyar Farzan
Burns (2024) Vol. 50, Iss. 4, pp. 1041-1043
Closed Access | Times Cited: 5
Stratified burn severity assessment by integrating spaceborne spectral and waveform attributes in Great Xing'an Mountain
Simei Lin, Linyuan Li, Shangbo Liu, et al.
Remote Sensing of Environment (2024) Vol. 307, pp. 114152-114152
Closed Access | Times Cited: 5
Application of Remote Sensing Technology in Wildfire Research: Bibliometric Perspective
Xiaolian Li, Jie Li, Milad Haghani
Fire Technology (2024) Vol. 60, Iss. 1, pp. 579-616
Closed Access | Times Cited: 4
Mapping forest fire severity using bi-temporal unmixing of Sentinel-2 data - Towards a quantitative understanding of fire impacts
Kira A. Pfoch, Dirk Pflugmacher, Akpona Okujeni, et al.
Science of Remote Sensing (2023) Vol. 8, pp. 100097-100097
Open Access | Times Cited: 10
PRISMA imaging for land covers and surface materials composition in urban and rural areas adopting multiple endmember spectral mixture analysis (MESMA)
Giandomenico De Luca, J.L. Pancorbo, Federico Carotenuto, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 225, pp. 196-220
Open Access
Estimation of Prometheus fuel types using physically based remote sensing techniques
José Manuel Fernández‐Guisuraga, Andrea Monzón-González, Víctor Fernández-García, et al.
Fire Ecology (2025) Vol. 21, Iss. 1
Open Access
Unitemporal approach to fire severity mapping using multispectral synthetic databases and Random Forests
Raquel Montorio, Fernando Pérez, Daniel Borini Alves, et al.
Remote Sensing of Environment (2020) Vol. 249, pp. 112025-112025
Closed Access | Times Cited: 27
Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal
José Manuel Fernández‐Guisuraga, Paulo M. Fernandes
Remote Sensing (2023) Vol. 15, Iss. 3, pp. 768-768
Open Access | Times Cited: 9
Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery
Giandomenico De Luca, Giuseppe Modica, João M. N. Silva, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 3162-3198
Open Access | Times Cited: 9
Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
Carmen Quintano, Alfonso Fernández–Manso, José Manuel Fernández‐Guisuraga, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 361-361
Open Access | Times Cited: 3
Next-gen regional fire risk mapping: Integrating hyperspectral imagery and National Forest Inventory data to identify hot-spot wildland-urban interfaces
Alfonso Fernández–Manso, Carmen Quintano, José Manuel Fernández‐Guisuraga, et al.
The Science of The Total Environment (2024) Vol. 940, pp. 173568-173568
Open Access | Times Cited: 3
Integrating machine learning for enhanced wildfire severity prediction: A study in the Upper Colorado River basin
Heechan Han, Tadesse Alemayehu Abitew, Hadi Bazrkar, et al.
The Science of The Total Environment (2024) Vol. 952, pp. 175914-175914
Closed Access | Times Cited: 3
Spatial Validation of Spectral Unmixing Results: A Systematic Review
Rosa Maria Cavalli
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2822-2822
Open Access | Times Cited: 7
Characterizing Topographic Influences of Bushfire Severity Using Machine Learning Models: A Case Study in a Hilly Terrain of Victoria, Australia
Saroj Kumar Sharma, Jagannath Aryal, Quanxi Shao, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 2791-2807
Open Access | Times Cited: 6
Evaluating the Persistence of Post-Wildfire Ash: A Multi-Platform Spatiotemporal Analysis
Sarah A. Lewis, Peter R. Robichaud, Andrew T. Hudak, et al.
Fire (2021) Vol. 4, Iss. 4, pp. 68-68
Open Access | Times Cited: 13
Fractional monitoring of desert vegetation degradation, recovery, and greening using optimized multi-endmembers spectral mixture analysis in a dryland basin of Northwest China
Yaoliang Chen, Xiaotao Huang, Jingfeng Huang, et al.
GIScience & Remote Sensing (2021) Vol. 58, Iss. 2, pp. 300-321
Open Access | Times Cited: 10
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