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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:

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: 464

Showing 26-50 of 464 citing articles:

A robust deep learning framework for short-term wind power forecast of a full-scale wind farm using atmospheric variables
Rajitha Meka, Adel Alaeddini, Kiran Bhaganagar
Energy (2021) Vol. 221, pp. 119759-119759
Open Access | Times Cited: 91
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: 85
Time series extrinsic regression
Chang Wei Tan, Christoph Bergmeir, François Petitjean, et al.
Data Mining and Knowledge Discovery (2021) Vol. 35, Iss. 3, pp. 1032-1060
Open Access | Times Cited: 84
Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids
Ning Yang, Diyou Liu, Quanlong Feng, et al.
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1500-1500
Open Access | Times Cited: 82
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
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: 78
Satellite Image Time Series Analysis for Big Earth Observation Data
Rolf Simões, Gilberto Câmara, Gilberto Ribeiro de Queiroz, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2428-2428
Open Access | Times Cited: 71
TSB-UAD
John Paparrizos, Yuhao Kang, Paul Boniol, et al.
Proceedings of the VLDB Endowment (2022) Vol. 15, Iss. 8, pp. 1697-1711
Closed Access | Times Cited: 68
An Extraction Method for Glacial Lakes Based on Landsat-8 Imagery Using an Improved U-Net Network
Yi He, Sheng Yao, Yang Wang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021) Vol. 14, pp. 6544-6558
Open Access | Times Cited: 67
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
Kowsalya Thiagarajan, M. Anandan, Andrzej Stateczny, et al.
Remote Sensing (2021) Vol. 13, Iss. 21, pp. 4351-4351
Open Access | Times Cited: 67
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: 65
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: 65
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
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
Deep neural networks for spatiotemporal PM2.5 forecasts based on atmospheric chemical transport model output and monitoring data
Pu-Yun Kow, Li‐Chiu Chang, Chuan‐Yao Lin, et al.
Environmental Pollution (2022) Vol. 306, pp. 119348-119348
Closed Access | Times Cited: 44
Deep learning for forest inventory and planning: a critical review on the remote sensing approaches so far and prospects for further applications
Alireza Hamedianfar, Cheikh Mohamedou, Annika Kangas, et al.
Forestry An International Journal of Forest Research (2022) Vol. 95, Iss. 4, pp. 451-465
Open Access | Times Cited: 43
ViTs for SITS: Vision Transformers for Satellite Image Time Series
Michail Tarasiou, Erik Chavez, Stefanos Zafeiriou
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
Open Access | Times Cited: 42
A joint learning Im-BiLSTM model for incomplete time-series Sentinel-2A data imputation and crop classification
Baili Chen, Hongwei Zheng, Lili Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 108, pp. 102762-102762
Open Access | Times Cited: 40
Snow depth estimation at country-scale with high spatial and temporal resolution
Rodrigo Caye Daudt, Hendrik Wulf, Elisabeth D. Hafner, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 197, pp. 105-121
Open Access | Times Cited: 36
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: 29
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: 28
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 deep learning approach for deriving winter wheat phenology from optical and SAR time series at field level
Felix Lobert, Johannes Löw, Marcel Schwieder, et al.
Remote Sensing of Environment (2023) Vol. 298, pp. 113800-113800
Open Access | Times Cited: 27

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