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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-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

Showing 1-25 of 123 citing articles:

Remote Sensing Image Change Detection With Transformers
Hao Chen, Zipeng Qi, Zhenwei Shi
IEEE Transactions on Geoscience and Remote Sensing (2021) Vol. 60, pp. 1-14
Open Access | Times Cited: 223
Self-Supervised Learning in Remote Sensing: A review
Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, et al.
IEEE Geoscience and Remote Sensing Magazine (2022) Vol. 10, Iss. 4, pp. 213-247
Open Access | Times Cited: 154
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
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 101
An attention-based multiscale transformer network for remote sensing image change detection
Wei Liu, Yiyuan Lin, Weijia Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 599-609
Closed Access | Times Cited: 55
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
Self-Supervised Remote Sensing Feature Learning: Learning Paradigms, Challenges, and Future Works
Chao Tao, Ji Qi, Mingning Guo, et al.
IEEE Transactions on Geoscience and Remote Sensing (2023) Vol. 61, pp. 1-26
Open Access | Times Cited: 49
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
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
Consequential Advancements of Self-Supervised Learning (SSL) in Deep Learning Contexts
Mohammed Majid Abdulrazzaq, Nehad T. A. Ramaha, Alaa Ali Hameed, et al.
Mathematics (2024) Vol. 12, Iss. 5, pp. 758-758
Open Access | Times Cited: 17
A systematic review for transformer-based long-term series forecasting
Liyilei Su, Xumin Zuo, Rui Li, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 3
A Sentinel-2 machine learning dataset for tree species classification in Germany
Maximilian Freudenberg, Sebastian Schnell, Paul Magdon
Earth system science data (2025) Vol. 17, Iss. 2, pp. 351-367
Open Access | Times Cited: 3
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
Self-supervised Vision Transformers for Land-cover Segmentation and Classification
Linus Scheibenreif, Joëlle Hanna, Michael Mommert, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2022), pp. 1421-1430
Closed Access | Times Cited: 65
A Network Combining a Transformer and a Convolutional Neural Network for Remote Sensing Image Change Detection
Guanghui Wang, Bin Li, Tao Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 9, pp. 2228-2228
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
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes
Tian Xia, Zhen He, Zhiwen Cai, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 107, pp. 102702-102702
Open Access | Times Cited: 49
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: 46
Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives
Clément Bonet, Laëtitia Chapel, Lucas Drumetz, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 3995-3995
Open Access | Times Cited: 42
Masked Vision Transformers for Hyperspectral Image Classification
Linus Scheibenreif, Michael Mommert, Damian Borth
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023), pp. 2166-2176
Closed Access | Times Cited: 36
Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Hankui K. Zhang, David P. Roy, Dong Luo
Remote Sensing of Environment (2023) Vol. 295, pp. 113653-113653
Open Access | Times Cited: 28
A Fault Diagnosis Method for Rolling Bearing Based on 1D-ViT Model
Pinghu Xu, Lijun Zhang
IEEE Access (2023) Vol. 11, pp. 39664-39674
Open Access | Times Cited: 25
Crop mapping using supervised machine learning and deep learning: a systematic literature review
Mouad Alami Machichi, Loubna El Mansouri, Yasmina Imani, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 8, pp. 2717-2753
Open Access | Times Cited: 25
Efficient Deep Semantic Segmentation for Land Cover Classification Using Sentinel Imagery
Anastasios Tzepkenlis, Konstantinos Marthoglou, Nikos Grammalidis
Remote Sensing (2023) Vol. 15, Iss. 8, pp. 2027-2027
Open Access | Times Cited: 24
Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
Benyamin Hosseiny, Masoud Mahdianpari, Mohammadali Hemati, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 1035-1052
Open Access | Times Cited: 23
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