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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:

Applications in Remote Sensing to Forest Ecology and Management
Alex M. Lechner, Giles M. Foody, Doreen S. Boyd
One Earth (2020) Vol. 2, Iss. 5, pp. 405-412
Open Access | Times Cited: 322

Showing 1-25 of 322 citing articles:

RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images
Runrui Liu, Fei Tao, Xintao Liu, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3109-3109
Open Access | Times Cited: 81
Mapping the presence and distribution of tree species in Canada's forested ecosystems
Txomin Hermosilla, Alex Bastyr, Nicholas C. Coops, et al.
Remote Sensing of Environment (2022) Vol. 282, pp. 113276-113276
Open Access | Times Cited: 77
Individual Tree-Crown Detection and Species Identification in Heterogeneous Forests Using Aerial RGB Imagery and Deep Learning
Mirela Beloiu, Lucca Heinzmann, Nataliia Rehush, et al.
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1463-1463
Open Access | Times Cited: 49
Sustainable land use in Moldova: GIS & remote sensing of forests and crops
Aleksandar Valjarević, Cezar Morar, Ljiljana Brašanac-Bosanac, et al.
Land Use Policy (2025) Vol. 152, pp. 107515-107515
Closed Access | Times Cited: 4
Recent Advances in Unmanned Aerial Vehicles Forest Remote Sensing—A Systematic Review. Part II: Research Applications
Riccardo Dainelli, Piero Toscano, Salvatore Filippo Di Gennaro, et al.
Forests (2021) Vol. 12, Iss. 4, pp. 397-397
Open Access | Times Cited: 84
Strategic roadmap to assess forest vulnerability under air pollution and climate change
Alessandra De Marco, Pierre Sicard, Zhaozhong Feng, et al.
Global Change Biology (2022) Vol. 28, Iss. 17, pp. 5062-5085
Open Access | Times Cited: 57
Remote sensing image fusion on 3D scenarios: A review of applications for agriculture and forestry
Juan M. Jurado, Alfonso López, Luís Pádua, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102856-102856
Open Access | Times Cited: 47
Mapping tree species composition in a Caspian temperate mixed forest based on spectral-temporal metrics and machine learning
Vahid Nasiri, Mirela Beloiu, Ali Asghar Darvishsefat, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 116, pp. 103154-103154
Open Access | Times Cited: 46
Estimating and mapping forest age across Canada's forested ecosystems
James C. Maltman, Txomin Hermosilla, Michael A. Wulder, et al.
Remote Sensing of Environment (2023) Vol. 290, pp. 113529-113529
Open Access | Times Cited: 35
Hybrid model for estimating forest canopy heights using fused multimodal spaceborne LiDAR data and optical imagery
Shufan Wang, Chun Liu, Weiyue Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103431-103431
Open Access | Times Cited: 27
Practical AI Cases for Solving ESG Challenges
Evgeny Burnaev, Evgeny G. Mironov, Aleksei Shpilman, et al.
Sustainability (2023) Vol. 15, Iss. 17, pp. 12731-12731
Open Access | Times Cited: 27
Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models
Xingguang Yan, Jing Li, Andrew R. Smith, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 2, pp. 4471-4491
Open Access | Times Cited: 26
Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations
Simon König, Frank Thonfeld, Michael Förster, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 24
Satellite Imagery in Precision Agriculture
Joel Segarra
Springer eBooks (2024), pp. 325-340
Closed Access | Times Cited: 13
Towards operational UAV-based forest health monitoring: Species identification and crown condition assessment by means of deep learning
Simon Ecke, Florian Stehr, Julian Frey, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108785-108785
Open Access | Times Cited: 12
Mapping tree species diversity in a typical natural secondary forest by combining multispectral and LiDAR data
Lang Ming, Jianyang Liu, Ying Quan, et al.
Ecological Indicators (2024) Vol. 159, pp. 111711-111711
Open Access | Times Cited: 11
Two-decadal climate impacts on growth of major forest types of Eastern Himalaya
Rajdeep Chanda, Salam Suresh Singh, Ngangbam Somen Singh, et al.
Trees Forests and People (2024) Vol. 15, pp. 100491-100491
Open Access | Times Cited: 10
Constructing cropland ecological stability assessment method based on disturbance-resistance-response processes and classifying cropland ecological types
Haoran Gao, Jian Gong, Teng Ye, et al.
The Science of The Total Environment (2024) Vol. 930, pp. 172673-172673
Closed Access | Times Cited: 10
MANGLEE: A Tool for Mapping and Monitoring MANgrove Ecosystem on Google Earth Engine—A Case Study in Ecuador
Lorena Caiza Morales, Cristina Gómez, Rodrigo Torres, et al.
Journal of Geovisualization and Spatial Analysis (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Satellite-enabled enviromics to enhance crop improvement
Rafael T Resende, Lee T. Hickey, Cibele Hummel do Amaral, et al.
Molecular Plant (2024) Vol. 17, Iss. 6, pp. 848-866
Open Access | Times Cited: 9
Geomodeling soil quality using remote sensing and land use metrics in Abeokuta, Nigeria
Tobore Anthony, Anna Emmanuel
Discover Geoscience (2025) Vol. 3, Iss. 1
Open Access | Times Cited: 1
Comparison of Tree Typologies Mapping Using Random Forest Classifier Algorithm of PRISMA and Sentinel-2 Products in Different Areas of Central Italy
Eros Caputi, Gabriele Delogu, Alessio Patriarca, et al.
Remote Sensing (2025) Vol. 17, Iss. 3, pp. 356-356
Open Access | Times Cited: 1
Remote sensing and machine learning in vegetation phenology studies
Masooma Suleman, Peter A. Khaiter
Elsevier eBooks (2025), pp. 373-403
Closed Access | Times Cited: 1
Harnessing Time-Series Satellite Data and Deep Learning to Monitor Historical Patterns of Deforestation in Eastern Himalayan Foothills of India
Jintu Moni Bhuyan, Subrata Nandy, Hitendra Padalia, et al.
Journal of the Indian Society of Remote Sensing (2025)
Closed Access | Times Cited: 1
Harnessing Artificial Intelligence, Machine Learning and Deep Learning for Sustainable Forestry Management and Conservation: Transformative Potential and Future Perspectives
T. J. Wang, Yiping Zuo, Teja Manda, et al.
Plants (2025) Vol. 14, Iss. 7, pp. 998-998
Open Access | Times Cited: 1
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