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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:

Deeply synergistic optical and SAR time series for crop dynamic monitoring
Wenzhi Zhao, Yang Qu, Jiage Chen, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111952-111952
Closed Access | Times Cited: 90

Showing 26-50 of 90 citing articles:

Grassland mowing event detection using combined optical, SAR, and weather time series
Ann-Kathrin Holtgrave, Felix Lobert, Stefan Erasmi, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113680-113680
Open Access | Times Cited: 12
Dense NDVI Time Series by Fusion of Optical and SAR-Derived Data
Thomas Roßberg, Michael Schmitt
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7748-7758
Open Access | Times Cited: 5
Mapping tobacco planting areas in smallholder farmlands using Phenological-Spatial-Temporal LSTM from time-series Sentinel-1 SAR images
Mengmeng Li, Xiaomin Feng, Mariana Belgiu
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 129, pp. 103826-103826
Open Access | Times Cited: 4
Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data
Natacha Kalecinski, Sergii Skakun, Nathan Torbick, et al.
Science of Remote Sensing (2024) Vol. 10, pp. 100153-100153
Open Access | Times Cited: 4
Mapping Crop Rotation by Using Deeply Synergistic Optical and SAR Time Series
Yiqing Liu, Wenzhi Zhao, Shuo Chen, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4160-4160
Open Access | Times Cited: 27
What drives the spatial heterogeneity of cropping patterns in the Northeast China: The natural environment, the agricultural economy, or policy?
Zhe Yang, Lin Chu, Chen Wang, et al.
The Science of The Total Environment (2023) Vol. 905, pp. 167810-167810
Closed Access | Times Cited: 11
Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework
Dairong Chen, Haoxuan Hu, Chunhua Liao, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108388-108388
Closed Access | Times Cited: 11
Deep learning in multi-sensor agriculture and crop management
Darwin Alexis Arrechea-Castillo, Yady Tatiana Solano‐Correa
Elsevier eBooks (2025), pp. 335-379
Closed Access
Evaluation of the Potential for Estimating Backscattering Coefficients over Bare Agricultural Soils at the Intra-Plot Scale
Rémy Fieuzal, Frédéric Baup
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1827-1827
Open Access
Assessing the Impact of Cloud Removal and Reconstruction Through Sar-Optical Data Fusion on Crop Mapping Accuracy
Chenxi Duan, Mariana Belgiu, Alfred Stein
(2025)
Closed Access
Time series of Sentinel-1 and Sentinel-2 imagery for parcel-based crop-type classification using Random Forest algorithm and Google Earth Engine
Arsalan Ghorbanian, Soheil Zaghian, Seyed Ali Ahmadi, et al.
Elsevier eBooks (2025), pp. 303-319
Closed Access
Evaluation of Crop Type Classification with Different High Resolution Satellite Data Sources
Jinlong Fan, Xiaoyu Zhang, Chunliang Zhao, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 911-911
Open Access | Times Cited: 21
Dense Adaptive Grouping Distillation Network for Multimodal Land Cover Classification With Privileged Modality
Xiao Li, Lin Lei, Caiguang Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-14
Closed Access | Times Cited: 15
Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature Aggregation Network
Shanjing Chen, Wenjuan Zhang, Zhen Li, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3374-3374
Open Access | Times Cited: 15
ML‐Based Hybrid SAR and Optical Image LULC Mapping and Change Analysis With Variations in the Air Quality of the Imphal Valley, North‐East India
Priyanka Gupta, Arun Kumar Shukla, Dericks Praise Shukla
Earth and Space Science (2024) Vol. 11, Iss. 3
Open Access | Times Cited: 3
Farmland parcel-based crop classification in cloudy/rainy mountains using Sentinel-1 and Sentinel-2 based deep learning
Yingwei Sun, Zhao-Liang Li, Jiancheng Luo, et al.
International Journal of Remote Sensing (2022) Vol. 43, Iss. 3, pp. 1054-1073
Closed Access | Times Cited: 13
Mapping integrated crop-livestock systems in Brazil with planetscope time series and deep learning
Inácio Thomaz Bueno, J. F. G. Antunes, Aliny Aparecida dos Reis, et al.
Remote Sensing of Environment (2023) Vol. 299, pp. 113886-113886
Closed Access | Times Cited: 8
Land Cover Classification of Remote Sensing Images Based on Hierarchical Convolutional Recurrent Neural Network
Xiangsuo Fan, Lin Chen, Xinggui Xu, et al.
Forests (2023) Vol. 14, Iss. 9, pp. 1881-1881
Open Access | Times Cited: 7
Monitoring crop growth using a canopy structure dynamic model and time series of synthetic aperture radar (SAR) data
Xianfeng Jiao, Heather McNairn, Laura Dingle Robertson
International Journal of Remote Sensing (2021) Vol. 42, Iss. 17, pp. 6433-6460
Closed Access | Times Cited: 15
Integrating an attention-based deep learning framework and the SAFY-V model for winter wheat yield estimation using time series SAR and optical data
Dong Han, Pengxin Wang, Kevin Tansey, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107334-107334
Closed Access | Times Cited: 11
Reconstruction of Optical Image Time Series With Unequal Lengths SAR Based on Improved Sequence–Sequence Model
Tao Peng, Meiling Liu, Xiangnan Liu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 11
A New Method for Crop Type Mapping at the Regional Scale Using Multi-Source and Multi-Temporal Sentinel Imagery
Xiaohu Wang, Shifeng Fang, Yichen Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 9, pp. 2466-2466
Open Access | Times Cited: 6
Parcel level staple crop type identification based on newly defined red-edge vegetation indices and ORNN
Lu Xu, Dongping Ming, Liang Zhang, et al.
Computers and Electronics in Agriculture (2023) Vol. 211, pp. 108012-108012
Closed Access | Times Cited: 6
Remote Sensing-Based Classification of Winter Irrigation Fields Using the Random Forest Algorithm and GF-1 Data: A Case Study of Jinzhong Basin, North China
Qiaomei Su, Jin Lv, Jinlong Fan, et al.
Remote Sensing (2023) Vol. 15, Iss. 18, pp. 4599-4599
Open Access | Times Cited: 6
A new deep learning-based model for reconstructing high-quality NDVI time-series data in heavily cloudy areas: fusion of Sentinel 1 and 2 data
Yang Chen, Ruyin Cao, Shuaijun Liu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2

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