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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:

Self-attention for raw optical Satellite Time Series Classification
Marc Rußwurm, Marco Körner
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 169, pp. 421-435
Open Access | Times Cited: 243

Showing 1-25 of 243 citing articles:

Transformers in Time Series: A Survey
Qingsong Wen, Tian Zhou, Chaoli Zhang, et al.
(2023), pp. 6778-6786
Open Access | Times Cited: 494
DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping
Jinfan Xu, Yue Zhu, Renhai Zhong, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111946-111946
Closed Access | Times Cited: 184
Towards interpreting multi-temporal deep learning models in crop mapping
Jinfan Xu, Jie Yang, Xingguo Xiong, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112599-112599
Closed Access | Times Cited: 129
Transfer learning in environmental remote sensing
Yuchi Ma, Shuo Chen, Stefano Ermon, et al.
Remote Sensing of Environment (2023) Vol. 301, pp. 113924-113924
Closed Access | Times Cited: 127
Crop mapping from image time series: Deep learning with multi-scale label hierarchies
Mehmet Özgür Türkoglu, Stefano D’Aronco, Gregor Perich, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112603-112603
Open Access | Times Cited: 117
A Deep Multitask Learning Framework Coupling Semantic Segmentation and Fully Convolutional LSTM Networks for Urban Change Detection
Maria Papadomanolaki, Maria Vakalopoulou, Κωνσταντίνος Καράντζαλος
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 59, Iss. 9, pp. 7651-7668
Open Access | Times Cited: 106
Transformers in Time-Series Analysis: A Tutorial
Sabeen Ahmed, Ian E. Nielsen, Aakash Tripathi, et al.
Circuits Systems and Signal Processing (2023) Vol. 42, Iss. 12, pp. 7433-7466
Closed Access | Times Cited: 103
Remote-Sensing Data and Deep-Learning Techniques in Crop Mapping and Yield Prediction: A Systematic Review
Abhasha Joshi, Biswajeet Pradhan, Shilpa Gite, et al.
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2014-2014
Open Access | Times Cited: 81
Multi-modal temporal attention models for crop mapping from satellite time series
Vivien Sainte Fare Garnot, Loïc Landrieu, Nesrine Chehata
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 294-305
Open Access | Times Cited: 71
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey
Navid Mohammadi Foumani, Lynn Miller, Chang Wei Tan, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-45
Open Access | Times Cited: 52
End-to-end learned early classification of time series for in-season crop type mapping
Marc Rußwurm, Nicolas Courty, Rémi Emonet, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 196, pp. 445-456
Open Access | Times Cited: 48
Self-supervised pre-training for large-scale crop mapping using Sentinel-2 time series
Yijia Xu, Yuchi Ma, Zhou Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 207, pp. 312-325
Closed Access | Times Cited: 19
From anomaly detection to classification with graph attention and transformer for multivariate time series
Chaoyang Wang, Guangyu Liu
Advanced Engineering Informatics (2024) Vol. 60, pp. 102357-102357
Closed Access | Times Cited: 18
Classifying raw irregular time series (CRIT) for large area land cover mapping by adapting transformer model
Hankui K. Zhang, Dong Luo, Zhongbin Li
Science of Remote Sensing (2024) Vol. 9, pp. 100123-100123
Open Access | Times Cited: 17
Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification
Yuan Yuan, Lei Lin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 14, pp. 474-487
Open Access | Times Cited: 123
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
Deep Learning for Land Cover Change Detection
Oliver Sefrin, Felix M. Riese, Sina Keller
Remote Sensing (2020) Vol. 13, Iss. 1, pp. 78-78
Open Access | Times Cited: 100
Masked reconstruction based self-supervision for human activity recognition
Harish Haresamudram, Apoorva Beedu, Varun Agrawal, et al.
(2020)
Closed Access | Times Cited: 97
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: 84
Gated Transformer Networks for Multivariate Time Series Classification
Minghao Liu, Shengqi Ren, Siyuan Ma, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 81
Spatial and temporal deep learning methods for deriving land-use following deforestation: A pan-tropical case study using Landsat time series
Robert N. Masolele, Véronique De Sy, Martin Herold, et al.
Remote Sensing of Environment (2021) Vol. 264, pp. 112600-112600
Open Access | Times Cited: 80
Crop Type Mapping from Optical and Radar Time Series Using Attention-Based Deep Learning
Stella Ofori-Ampofo, Charlotte Pelletier, Stefan Lang
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4668-4668
Open Access | Times Cited: 63
TimeSen2Crop: A Million Labeled Samples Dataset of Sentinel 2 Image Time Series for Crop-Type Classification
Giulio Weikmann, Claudia Paris, Lorenzo Bruzzone
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 4699-4708
Open Access | Times Cited: 61
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
Recurrent-based regression of Sentinel time series for continuous vegetation monitoring
Anatol Garioud, Silvia Valero, Sébastien Giordano, et al.
Remote Sensing of Environment (2021) Vol. 263, pp. 112419-112419
Open Access | Times Cited: 59
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