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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:

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: 351

Showing 26-50 of 351 citing articles:

Deep learning for multi-modal classification of cloud, shadow and land cover scenes in PlanetScope and Sentinel-2 imagery
Yuri Shendryk, Yannik Rist, Catherine Ticehurst, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2019) Vol. 157, pp. 124-136
Open Access | Times Cited: 110
Feature Reuse Residual Networks for Insect Pest Recognition
Fuji Ren, Wenjie Liu, Guoqing Wu
IEEE Access (2019) Vol. 7, pp. 122758-122768
Open Access | Times Cited: 108
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention
Vivien Sainte Fare Garnot, Loïc Landrieu, Sébastien Giordano, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)
Open Access | Times Cited: 105
Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks
Somayeh Nezami, Ehsan Khoramshahi, Olli Nevalainen, et al.
Remote Sensing (2020) Vol. 12, Iss. 7, pp. 1070-1070
Open Access | Times Cited: 98
Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method
Zhenrong Du, Jianyu Yang, Cong Ou, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 888-888
Open Access | Times Cited: 95
Classification of SAR and PolSAR images using deep learning: a review
Hemani Parikh, Samir Patel, Vibha Patel
International Journal of Image and Data Fusion (2019) Vol. 11, Iss. 1, pp. 1-32
Closed Access | Times Cited: 94
Detection of Red-Meat Adulteration by Deep Spectral–Spatial Features in Hyperspectral Images
Mahmoud Al-Sarayreh, Marlon M. Reis, Wei Qi Yan, et al.
Journal of Imaging (2018) Vol. 4, Iss. 5, pp. 63-63
Open Access | Times Cited: 92
A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets
Seyd Teymoor Seydi, Mahdi Hasanlou, Meisam Amani
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2010-2010
Open Access | Times Cited: 92
Integrating Multitemporal Sentinel-1/2 Data for Coastal Land Cover Classification Using a Multibranch Convolutional Neural Network: A Case of the Yellow River Delta
Quanlong Feng, Jianyu Yang, Dehai Zhu, et al.
Remote Sensing (2019) Vol. 11, Iss. 9, pp. 1006-1006
Open Access | Times Cited: 85
Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Vivien Sainte Fare Garnot, Loïc Landrieu
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2021)
Open Access | Times Cited: 82
Crop Classification Method Based on Optimal Feature Selection and Hybrid CNN-RF Networks for Multi-Temporal Remote Sensing Imagery
Shuting Yang, Lingjia Gu, Xiaofeng Li, et al.
Remote Sensing (2020) Vol. 12, Iss. 19, pp. 3119-3119
Open Access | Times Cited: 81
Bayesian Multi-modeling of Deep Neural Nets for Probabilistic Crop Yield Prediction
Peyman Abbaszadeh, Keyhan Gavahi, Atieh Alipour, et al.
Agricultural and Forest Meteorology (2021) Vol. 314, pp. 108773-108773
Closed Access | Times Cited: 77
RESNET-BASED TREE SPECIES CLASSIFICATION USING UAV IMAGES
Sowmya Natesan, Costas Armenakis, Udayalakshmi Vepakomma
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2019) Vol. XLII-2/W13, pp. 475-481
Open Access | Times Cited: 76
Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal
Rubén Fernández-Beltran, Tina Baidar, Jian Kang, et al.
Remote Sensing (2021) Vol. 13, Iss. 7, pp. 1391-1391
Open Access | Times Cited: 73
Tree Species Classification of Drone Hyperspectral and RGB Imagery with Deep Learning Convolutional Neural Networks
Somayeh Nezami, Ehsan Khoramshahi, Olli Nevalainen, et al.
(2020)
Open Access | Times Cited: 72
Crop type mapping by using transfer learning
Artur Nowakowski, John Mrziglod, Dario Spiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 98, pp. 102313-102313
Open Access | Times Cited: 68
Automated delineation of agricultural field boundaries from Sentinel-2 images using recurrent residual U-Net
Huanxue Zhang, Mingxu Liu, Yuji Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 105, pp. 102557-102557
Open Access | Times Cited: 63
Cotton Classification Method at the County Scale Based on Multi-Features and Random Forest Feature Selection Algorithm and Classifier
Fei Hao, Zehua Fan, Chengkun Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 829-829
Open Access | Times Cited: 62
SITS-Former: A pre-trained spatio-spectral-temporal representation model for Sentinel-2 time series classification
Yuan Yuan, Lei Lin, Qingshan Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 106, pp. 102651-102651
Open Access | Times Cited: 61
Concatenated deep features with modified LSTM for enhanced crop disease classification
Nafees Akhter Farooqui, Amit Kumar Mishra, Ritika Mehra
International Journal of Intelligent Robotics and Applications (2022) Vol. 7, Iss. 3, pp. 510-534
Closed Access | Times Cited: 47
A Dual Attention Convolutional Neural Network for Crop Classification Using Time-Series Sentinel-2 Imagery
Seyd Teymoor Seydi, Meisam Amani, Arsalan Ghorbanian
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 498-498
Open Access | Times Cited: 46
Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification
Yuan Yuan, Lei Lin, Zeng-Guang Zhou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 195, pp. 222-232
Closed Access | Times Cited: 45
Improvement in crop mapping from satellite image time series by effectively supervising deep neural networks
Sina Mohammadi, Mariana Belgiu, Alfred Stein
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 198, pp. 272-283
Open Access | Times Cited: 27
Deep Learning Application for Crop Classification via Multi-Temporal Remote Sensing Images
Qianjing Li, Jia Tian, Qingjiu Tian
Agriculture (2023) Vol. 13, Iss. 4, pp. 906-906
Open Access | Times Cited: 25
Remote Sensing Based Crop Type Classification Via Deep Transfer Learning
Krishna Karthik Gadiraju, Ranga Raju Vatsavai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 16, pp. 4699-4712
Open Access | Times Cited: 25

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