
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:
Fire behavior prediction with artificial intelligence in thinned black pine (Pinus nigra Arnold) stand
Ömer Küçük, Volkan Sevinç
Forest Ecology and Management (2022) Vol. 529, pp. 120707-120707
Closed Access | Times Cited: 14
Ömer Küçük, Volkan Sevinç
Forest Ecology and Management (2022) Vol. 529, pp. 120707-120707
Closed Access | Times Cited: 14
Showing 14 citing articles:
Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation indices
Fatih Sivrikaya, Alkan Günlü, Ömer Küçük, et al.
Ecological Informatics (2024) Vol. 79, pp. 102461-102461
Open Access | Times Cited: 15
Fatih Sivrikaya, Alkan Günlü, Ömer Küçük, et al.
Ecological Informatics (2024) Vol. 79, pp. 102461-102461
Open Access | Times Cited: 15
Artificial Intelligence Models to Prevent Forest Fires
Wasswa Shafik
Advances in computational intelligence and robotics book series (2024), pp. 78-106
Closed Access | Times Cited: 5
Wasswa Shafik
Advances in computational intelligence and robotics book series (2024), pp. 78-106
Closed Access | Times Cited: 5
Global Synthesis of Quantification of Fire Behaviour Characteristics in Forests and Shrublands: Recent Progress
Miguel G. Cruz, Chad Hoffman, Paulo M. Fernandes
Current Forestry Reports (2025) Vol. 11, Iss. 1
Open Access
Miguel G. Cruz, Chad Hoffman, Paulo M. Fernandes
Current Forestry Reports (2025) Vol. 11, Iss. 1
Open Access
Real-Time Active Fire Detection in the Pantanal Biome, Brazil, Using Convolutional Neural Networks
Daniel Cabral da Costa, Leonardo Vidal Batista, Richarde Marques da Silva, et al.
Fire Technology (2025)
Closed Access
Daniel Cabral da Costa, Leonardo Vidal Batista, Richarde Marques da Silva, et al.
Fire Technology (2025)
Closed Access
Fusion of Remotely-Sensed Fire-Related Indices for Wildfire Prediction through the Contribution of Artificial Intelligence
Nikolaos Ntinopoulos, Stavros Sakellariou, Olga Christopoulou, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11527-11527
Open Access | Times Cited: 7
Nikolaos Ntinopoulos, Stavros Sakellariou, Olga Christopoulou, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11527-11527
Open Access | Times Cited: 7
Application of artificial intelligence methods to model the effect of grass curing level on spread rate of fires
Sadegh Khanmohammadi, Miguel G. Cruz, Emadaldin Mohammadi Golafshani, et al.
Environmental Modelling & Software (2023) Vol. 173, pp. 105930-105930
Closed Access | Times Cited: 4
Sadegh Khanmohammadi, Miguel G. Cruz, Emadaldin Mohammadi Golafshani, et al.
Environmental Modelling & Software (2023) Vol. 173, pp. 105930-105930
Closed Access | Times Cited: 4
Predicting stem taper using artificial neural network and regression models for Scots pine (Pinus sylvestris L.) in northwestern Türkiye
Mehmet Seki
Scandinavian Journal of Forest Research (2023) Vol. 38, Iss. 1-2, pp. 97-104
Closed Access | Times Cited: 2
Mehmet Seki
Scandinavian Journal of Forest Research (2023) Vol. 38, Iss. 1-2, pp. 97-104
Closed Access | Times Cited: 2
Biyo-İklimsel Konfor ve İklim Değişikliği İlişkisi: Burdur Havzası'nda Bir Örnek Çalışma
Öznur Işınkaralar, Kaan Işınkaralar, Hakan Sevık, et al.
Kastamonu University Journal of Forestry Faculty (2023) Vol. 23, Iss. 3, pp. 241-249
Open Access | Times Cited: 2
Öznur Işınkaralar, Kaan Işınkaralar, Hakan Sevık, et al.
Kastamonu University Journal of Forestry Faculty (2023) Vol. 23, Iss. 3, pp. 241-249
Open Access | Times Cited: 2
Advances in Forest Fire Detection, Prediction and Behavior: A Comprehensive Survey
Ahmad Alkhatib, Khalid Mohammad Jaber
Journal of Computer Science (2024) Vol. 20, Iss. 4, pp. 408-418
Open Access
Ahmad Alkhatib, Khalid Mohammad Jaber
Journal of Computer Science (2024) Vol. 20, Iss. 4, pp. 408-418
Open Access
Using AutoML and generative AI to predict the type of wildfire propagation in Canadian conifer forests
Sadegh Khanmohammadi, Miguel G. Cruz, Daniel D. B. Perrakis, et al.
Ecological Informatics (2024) Vol. 82, pp. 102711-102711
Open Access
Sadegh Khanmohammadi, Miguel G. Cruz, Daniel D. B. Perrakis, et al.
Ecological Informatics (2024) Vol. 82, pp. 102711-102711
Open Access
Exploring Progress in Forest Fire Detection, Prediction, and Behavior: An In-Depth Survey
Ahmad Alkhatib, Khalid Mohammad Jaber, Hassan Alzo’by, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 789-800
Open Access
Ahmad Alkhatib, Khalid Mohammad Jaber, Hassan Alzo’by, et al.
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 789-800
Open Access
Feature selection and modeling forest tree canopies using supervised and unsupervised neural network self-organizing maps (case study: District 2, Kacha, Rasht, Iran)
Sima Lotfi Asl, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh
Research Square (Research Square) (2024)
Open Access
Sima Lotfi Asl, Iraj Hassanzad Navroodi, Aman Mohammad Kalteh
Research Square (Research Square) (2024)
Open Access
Burn severity evaluation in black pine forests with topographical factors using Sentinel-2 in Kastamonu, Turkiye
Çiğdem Özer Genç, Ömer Küçük, Seray Özden Keleş, et al.
CERNE (2023) Vol. 29
Open Access | Times Cited: 1
Çiğdem Özer Genç, Ömer Küçük, Seray Özden Keleş, et al.
CERNE (2023) Vol. 29
Open Access | Times Cited: 1
Character Education Strategy In Improving Student Discipline At Islamic State University Higher Education Mahmud Yunus Batusangkar
Rahayu Eka Putri
Journal Neosantara Hybrid Learning (2023) Vol. 1, Iss. 3, pp. 249-259
Open Access
Rahayu Eka Putri
Journal Neosantara Hybrid Learning (2023) Vol. 1, Iss. 3, pp. 249-259
Open Access