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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:

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation
James Ball, Katerina Petrova, David A. Coomes, et al.
Methods in Ecology and Evolution (2022) Vol. 13, Iss. 11, pp. 2622-2634
Open Access | Times Cited: 20

Showing 20 citing articles:

Predicting land cover changes and carbon stock fluctuations in Fuzhou, China: A deep learning and InVEST approach
Chunqiang Li, Hanqiu Xu, Peijun Du, et al.
Ecological Indicators (2024) Vol. 167, pp. 112658-112658
Open Access | Times Cited: 9
The potential for AI to revolutionize conservation: a horizon scan
S.A. Reynolds, Sara Beery, Neil D. Burgess, et al.
Trends in Ecology & Evolution (2024)
Open Access | Times Cited: 6
Assessing Forest-Change-Induced Carbon Storage Dynamics by Integrating GF-1 Image and Localized Allometric Growth Equations in Jiangning District, Nanjing, Eastern China (2017–2020)
Jiawei Liu, Boxiang Yang, Mingshi Li, et al.
Forests (2024) Vol. 15, Iss. 3, pp. 506-506
Open Access | Times Cited: 4
Artificial Intelligence in Disaster Management
Silvio Andrae
Advances in environmental engineering and green technologies book series (2025), pp. 73-114
Closed Access
The Use of Artificial Intelligence to Curb Deforestation in the Brazilian Rainforest
Silvio Andrae
IGI Global eBooks (2025), pp. 81-122
Closed Access
Deforestation and Forest Monitoring With CNN and RNN
Pokkuluri Kiran Sree, N. S. S. S. N. Usha Devi, Alex Khang
Advances in computational intelligence and robotics book series (2025), pp. 191-208
Closed Access
Detection of degraded forests in Guinea, West Africa, using convolutional neural networks and Sentinel-2 time series
An Vo Quang, Nicolas Delbart, Gabriel Jaffrain, et al.
Frontiers in Remote Sensing (2025) Vol. 6
Open Access
Inteligência artificial e mudanças climáticas
Paulo Artaxo, L. V. Rizzo, Luiz A. T. Machado
Revista USP (2024), Iss. 141, pp. 29-40
Open Access | Times Cited: 3
Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode
Zuyi Zhang, Biao Wang, Wenwen Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1181-1181
Open Access | Times Cited: 4
Modelling Global Deforestation Using Spherical Geographic Automata Approach
Bright Addae, Suzana Dragićević
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 8, pp. 306-306
Open Access | Times Cited: 4
Deep learning in terrestrial conservation biology
Zoltán Barta
Biologia Futura (2023) Vol. 74, Iss. 4, pp. 359-367
Open Access | Times Cited: 4
Predicting Land Cover Changes and Carbon Stock Fluctuations in Fuzhou, China: A Deep Learning and Invest Approach
Chunqiang Li, Hanqiu Xu, Peijun Du, et al.
(2024)
Closed Access | Times Cited: 1
Land Use - Handbook of the Anthropocene in Latin America I

Bielefeld University Press / transcript Verlag eBooks (2024)
Open Access | Times Cited: 1
Projecting multiclass global land-use and land-cover change using deep learning and spherical geographic automata model
Bright Addae, Suzana Dragićević, Kirsten Zickfeld, et al.
Big Earth Data (2024), pp. 1-28
Open Access | Times Cited: 1
A Comparative Study of Deep Learning and CA-Markov Methods for Land Use / Land Cover Change Prediction
Waytehad Rose Moskolaï, Wahabou Abdou, Albert Dipandà, et al.
(2022), pp. 190-197
Closed Access | Times Cited: 3
DEFORESTATION DETECTION USING CNN- A REVIEW
Komal Kumari, Priya Rastogi, Krishna Kant Sharma, et al.
(2024), pp. 312-317
Open Access
Biographical Notes
Olaf Kaltmeier, María Fernanda López Sandoval, José Augusto Pádua, et al.
Bielefeld University Press / transcript Verlag eBooks (2024), pp. 433-444
Open Access
Future trends in computational data analytics and artificial intelligence for Earth resource management
Madison C. Feehan, Deepak Kumar
Elsevier eBooks (2024), pp. 239-272
Closed Access
Assessing land use following tropical deforestation : Combining remote sensing and deep learning
Robert N. Masolele
(2023)
Open Access
A Politics Oriented Early Warning System for Deforestation in the Amazon Rainforest
Gabriel Granjo
SSRN Electronic Journal (2023)
Closed Access
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