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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:

Fire regimes at the arid fringe: A 16-year remote sensing perspective (2000–2016) on the controls of fire activity in Namibia from spatial predictive models
Manuel Mayr, Kim André Vanselow, Cyrus Samimi
Ecological Indicators (2018) Vol. 91, pp. 324-337
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A review of machine learning applications in wildfire science and management
Piyush Jain, Sean C. P. Coogan, Sriram Ganapathi Subramanian, et al.
Environmental Reviews (2020) Vol. 28, Iss. 4, pp. 478-505
Open Access | Times Cited: 550
Satellite Remote Sensing Contributions to Wildland Fire Science and Management
Emilio Chuvieco, Inmaculada Aguado, Javier Salas, et al.
Current Forestry Reports (2020) Vol. 6, Iss. 2, pp. 81-96
Closed Access | Times Cited: 163
Improving Forest Above-Ground Biomass Estimation by Integrating Individual Machine Learning Models
Mi Luo, Shoaib Ahmad Anees, Qiuyan Huang, et al.
Forests (2024) Vol. 15, Iss. 6, pp. 975-975
Open Access | Times Cited: 30
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity
Lammert Kooistra, Katja Berger, Benjamin Brede, et al.
Biogeosciences (2024) Vol. 21, Iss. 2, pp. 473-511
Open Access | Times Cited: 22
Simulate the forecast capacity of a complicated water quality model using the long short-term memory approach
Zhongyao Liang, Rui Zou, Xing Chen, et al.
Journal of Hydrology (2019) Vol. 581, pp. 124432-124432
Closed Access | Times Cited: 100
Adapting machine learning for environmental spatial data - A review
Marta Jemeļjanova, Alexander Kmoch, Evelyn Uuemaa
Ecological Informatics (2024) Vol. 81, pp. 102634-102634
Open Access | Times Cited: 14
Machine Learning Methods and Synthetic Data Generation to Predict Large Wildfires
Fernando Pérez Porras, Paula Triviño-Tarradas, Carmen Cima-Rodríguez, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3694-3694
Open Access | Times Cited: 49
Assessing the predictive efficacy of six machine learning algorithms for the susceptibility of Indian forests to fire
Laxmi Kant Sharma, Rajit Gupta, Naureen Fatima
International Journal of Wildland Fire (2022) Vol. 31, Iss. 8, pp. 735-758
Open Access | Times Cited: 30
Remote sensing for monitoring tropical dryland forests: a review of current research, knowledge gaps and future directions for Southern Africa
Ruusa Magano David, Nick Rosser, Daniel N.M. Donoghue
Environmental Research Communications (2022) Vol. 4, Iss. 4, pp. 042001-042001
Open Access | Times Cited: 27
Global Wildfire Danger Predictions Based on Deep Learning Taking into Account Static and Dynamic Variables
Yuheng Ji, Dan Wang, Qingliang Li, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 216-216
Open Access | Times Cited: 6
Observed changes in fire patterns and possible drivers over Central Africa
Yan Jiang, Liming Zhou, Ajay Raghavendra
Environmental Research Letters (2020) Vol. 15, Iss. 9, pp. 0940b8-0940b8
Open Access | Times Cited: 37
Improving wildland fire spread prediction using deep U-Nets
Fadoua Khennou, Moulay A. Akhloufi
Science of Remote Sensing (2023) Vol. 8, pp. 100101-100101
Open Access | Times Cited: 10
Prediction of aerosol optical depth in West Asia using deterministic models and machine learning algorithms
Seyed Omid Nabavi, Leopold Haimberger, Reyhaneh Abbasi, et al.
Aeolian Research (2018) Vol. 35, pp. 69-84
Open Access | Times Cited: 32
Global Wildfire Outlook Forecast with Neural Networks
Yongjia Song, Yuhang Wang
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2246-2246
Open Access | Times Cited: 20
A long-term assessment of fire regimes in a Brazilian ecotone between seasonally dry tropical forests and savannah
Daihana S. Argibay, Javier Sparacino, Giovana Mira de Espíndola
Ecological Indicators (2020) Vol. 113, pp. 106151-106151
Open Access | Times Cited: 19
Himawari-8/AHI Aerosol Optical Depth Detection Based on Machine Learning Algorithm
Yuanlin Chen, Meng Fan, Mingyang Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 2967-2967
Open Access | Times Cited: 12
Predicting wildfire ignition causes in Southern France using eXplainable Artificial Intelligence (XAI) methods
Christos Bountzouklis, Dennis Fox, Elena Di Bernardino
Environmental Research Letters (2023) Vol. 18, Iss. 4, pp. 044038-044038
Open Access | Times Cited: 7
Fire Activity in Mediterranean Forests (The Algerian Case)
Thomas Curt, A. S. Nor Aini, S. Dupire
Fire (2020) Vol. 3, Iss. 4, pp. 58-58
Open Access | Times Cited: 16
Contributions to Satellite-Based Land Cover Classification, Vegetation Quantification and Grassland Monitoring in Central Asian Highlands Using Sentinel-2 and MODIS Data
Harald Zandler, Sorosh Poya Faryabi, Stéphane Ostrowski
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 10
Long-term (35 Years) Rainy and Dry Season Characterization in Semiarid Northeastern Brazil
Javier Sparacino, Daihana S. Argibay, Giovana Mira de Espíndola
Revista Brasileira de Meteorologia (2021) Vol. 36, Iss. 3, pp. 377-391
Open Access | Times Cited: 10
Dynamic prediction of global monthly burned area with hybrid deep neural networks
Guoli Zhang, Ming Wang, Kai Liu
Ecological Applications (2022) Vol. 32, Iss. 5
Closed Access | Times Cited: 7
Socio-Economic Benefits of Colophospermum mopane in a Changing Climate in Northern Namibia
Andreas Nikodemus, Azadeh Abdollahnejad, Alpo Kapuka, et al.
Forests (2023) Vol. 14, Iss. 2, pp. 290-290
Open Access | Times Cited: 4
Aerosol Optical Depth Retrieval for Sentinel-2 Based on Convolutional Neural Network Method
Jie Jiang, Jiaxin Liu, Donglai Jiao
Atmosphere (2023) Vol. 14, Iss. 9, pp. 1400-1400
Open Access | Times Cited: 4
Satellite Observation of Biomass Burning
Emilio Chuvieco
Elsevier eBooks (2024)
Closed Access | Times Cited: 1
Broad-scale rather than fine-scale environmental variation drives body size in a wandering predator (Araneae, Lycosidae)
Nils Hein, Julien Pétillon, Roland Pape, et al.
Arctic Antarctic and Alpine Research (2019) Vol. 51, Iss. 1, pp. 315-326
Open Access | Times Cited: 9
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