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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:

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Nataliia Kussul, Mykola Lavreniuk, Sergii Skakun, et al.
IEEE Geoscience and Remote Sensing Letters (2017) Vol. 14, Iss. 5, pp. 778-782
Closed Access | Times Cited: 1519

Showing 1-25 of 1519 citing articles:

Deep learning in agriculture: A survey
Andreas Kamilaris, Francesc X. Prenafeta‐Boldú
Computers and Electronics in Agriculture (2018) Vol. 147, pp. 70-90
Open Access | Times Cited: 3170
Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources
Xiao Xiang Zhu, Devis Tuia, Lichao Mou, et al.
IEEE Geoscience and Remote Sensing Magazine (2017) Vol. 5, Iss. 4, pp. 8-36
Open Access | Times Cited: 2710
Deep learning in remote sensing applications: A meta-analysis and review
Lei Ma, Yü Liu, Xueliang Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 152, pp. 166-177
Open Access | Times Cited: 1760
Remote sensing for agricultural applications: A meta-review
Marie Weiss, Frédéric Jacob, Grégory Duveiller
Remote Sensing of Environment (2019) Vol. 236, pp. 111402-111402
Open Access | Times Cited: 1289
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Mehdi Mohammadi, Ala Al‐Fuqaha, Sameh Sorour, et al.
IEEE Communications Surveys & Tutorials (2018) Vol. 20, Iss. 4, pp. 2923-2960
Open Access | Times Cited: 1269
Deep learning in environmental remote sensing: Achievements and challenges
Qiangqiang Yuan, Huanfeng Shen, Tongwen Li, et al.
Remote Sensing of Environment (2020) Vol. 241, pp. 111716-111716
Closed Access | Times Cited: 1218
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Teja Kattenborn, Jens Leitloff, Felix Schiefer, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 173, pp. 24-49
Open Access | Times Cited: 1178
DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
İlke Demir, Krzysztof Koperski, David Lindenbaum, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2018), pp. 172-17209
Open Access | Times Cited: 889
Deep learning based multi-temporal crop classification
Liheng Zhong, Lina Hu, Hang Zhou
Remote Sensing of Environment (2018) Vol. 221, pp. 430-443
Closed Access | Times Cited: 815
Using deep transfer learning for image-based plant disease identification
Junde Chen, Jinxiu Chen, Defu Zhang, et al.
Computers and Electronics in Agriculture (2020) Vol. 173, pp. 105393-105393
Closed Access | Times Cited: 762
Land-cover classification with high-resolution remote sensing images using transferable deep models
Xinyi Tong, Gui-Song Xia, Qikai Lu, et al.
Remote Sensing of Environment (2019) Vol. 237, pp. 111322-111322
Open Access | Times Cited: 734
Plant Disease Detection and Classification by Deep Learning
Muhammad Hammad Saleem, Johan Potgieter, Khalid Mahmood Arif
Plants (2019) Vol. 8, Iss. 11, pp. 468-468
Open Access | Times Cited: 625
Sentinel-2 Data for Land Cover/Use Mapping: A Review
Darius Phiri, Matamyo Simwanda, Serajis Salekin, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2291-2291
Open Access | Times Cited: 588
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
A review of deep learning methods for semantic segmentation of remote sensing imagery
Xiaohui Yuan, Jianfang Shi, Lichuan Gu
Expert Systems with Applications (2020) Vol. 169, pp. 114417-114417
Closed Access | Times Cited: 527
Tackling Climate Change with Machine Learning
David Rolnick, Priya L. Donti, Lynn H. Kaack, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-96
Open Access | Times Cited: 500
Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data
Abdulhakim M. Abdi
GIScience & Remote Sensing (2019) Vol. 57, Iss. 1, pp. 1-20
Open Access | Times Cited: 499
Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series
Charlotte Pelletier, Geoffrey I. Webb, François Petitjean
Remote Sensing (2019) Vol. 11, Iss. 5, pp. 523-523
Open Access | Times Cited: 465
Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
Patrick Griffiths, Claas Nendel, Patrick Hostert
Remote Sensing of Environment (2018) Vol. 220, pp. 135-151
Open Access | Times Cited: 438
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art
Pedram Ghamisi, Richard Gloaguen, Peter M. Atkinson, et al.
IEEE Geoscience and Remote Sensing Magazine (2019) Vol. 7, Iss. 1, pp. 6-39
Open Access | Times Cited: 421
A review of the use of convolutional neural networks in agriculture
Andreas Kamilaris, Francesc X. Prenafeta‐Boldú
The Journal of Agricultural Science (2018) Vol. 156, Iss. 3, pp. 312-322
Open Access | Times Cited: 406
A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks
Yao Zhang, Joanna Joiner, Hamed Alemohammad, et al.
Biogeosciences (2018) Vol. 15, Iss. 19, pp. 5779-5800
Open Access | Times Cited: 366
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
Shunping Ji, Chi Zhang, Anjian Xu, et al.
Remote Sensing (2018) Vol. 10, Iss. 1, pp. 75-75
Open Access | Times Cited: 354
A review on deep learning in UAV remote sensing
Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102456-102456
Open Access | Times Cited: 340
Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification
Jinzhu Lu, Lijuan Tan, Huanyu Jiang
Agriculture (2021) Vol. 11, Iss. 8, pp. 707-707
Open Access | Times Cited: 335
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