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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:

Mapping crop types in complex farming areas using SAR imagery with dynamic time warping
Getachew Workineh Gella, W. Bijker, Mariana Belgiu
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 175, pp. 171-183
Open Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

Crop Intensity Mapping Using Dynamic Time Warping and Machine Learning from Multi-Temporal PlanetScope Data
Raihan Rafif, Sandiaga Swahyu Kusuma, Siti Saringatin, et al.
Land (2021) Vol. 10, Iss. 12, pp. 1384-1384
Open Access | Times Cited: 16
CROPUP: Historical products are all you need? An end-to-end cross-year crop map updating framework without the need for in situ samples
Lei Lei, Xinyu Wang, Liangpei Zhang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114430-114430
Closed Access | Times Cited: 2
Identification of cultivated land change trajectory and analysis of its process characteristics using time-series Landsat images: A study in the overlapping areas of crop and mineral production in Yanzhou City, China
Jing Li, Zhai Jiang, Hui Miao, et al.
The Science of The Total Environment (2021) Vol. 806, pp. 150318-150318
Closed Access | Times Cited: 14
Multi-Temporal Data Fusion in MS and SAR Images Using the Dynamic Time Warping Method for Paddy Rice Classification
Tsu Chiang Lei, Shiuan Wan, You Wu, et al.
Agriculture (2022) Vol. 12, Iss. 1, pp. 77-77
Open Access | Times Cited: 9
3-D SAR Data-Driven Imaging via Learned Low-Rank and Sparse Priors
Mou Wang, Shunjun Wei, Zichen Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-17
Closed Access | Times Cited: 9
A Sub-Seasonal Crop Information Identification Framework for Crop Rotation Mapping in Smallholder Farming Areas with Time Series Sentinel-2 Imagery
Huaqiao Xing, Bingyao Chen, Miao Lu
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6280-6280
Open Access | Times Cited: 9
SAR and Optical Data Applied to Early-Season Mapping of Integrated Crop–Livestock Systems Using Deep and Machine Learning Algorithms
Ana Paola Salas Gomes Duarte Di Toro, Inácio Thomaz Bueno, J. P. S. Werner, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1130-1130
Open Access | Times Cited: 5
Crop Type Mapping Based on Polarization Information of Time Series Sentinel-1 Images Using Patch-Based Neural Network
Yuying Liu, Xuecong Pu, Zhangquan Shen
Remote Sensing (2023) Vol. 15, Iss. 13, pp. 3384-3384
Open Access | Times Cited: 5
Cropland Mapping Using Sentinel-1 Data in the Southern Part of the Russian Far East
Konstantin Dubrovin, Alexey Stepanov, А. Л. Верхотуров
Sensors (2023) Vol. 23, Iss. 18, pp. 7902-7902
Open Access | Times Cited: 5
Tsanet: A Deep Learning Framework for the Delineation of Agricultural Fields Utilizing Satellite Image Time Series
Shuai Yan, Xiaochuang Yao, Jialin Sun, et al.
(2023)
Closed Access | Times Cited: 4
A Novel Method for Identifying Crops in Parcels Constrained by Environmental Factors Through the Integration of a Gaofen-2 High-Resolution Remote Sensing Image and Sentinel-2 Time Series
Weijia Chen, Guilin Liu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 450-463
Open Access | Times Cited: 4
Integrating Sentinel-1/2 Data and Machine Learning to Map Cotton Fields in Northern Xinjiang, China
Tao Hu, Yi’na Hu, Jianquan Dong, et al.
Remote Sensing (2021) Vol. 13, Iss. 23, pp. 4819-4819
Open Access | Times Cited: 10
Contrasting Dual Transformer Architectures for Multi-Modal Remote Sensing Image Retrieval
Mohamad Mahmoud Al Rahhal, Mohamed A. Bencherif, Yakoub Bazi, et al.
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 282-282
Open Access | Times Cited: 7
Development of a Pre-Automatized Processing Chain for Agricultural Monitoring Using a Multi-Sensor and Multi-Temporal Approach
Emiliana Valentini, Serena Sapio, Emma Schiavon, et al.
Land (2024) Vol. 13, Iss. 1, pp. 91-91
Open Access | Times Cited: 1
Enhanced Crop Discrimination and Monitoring Using Compact-Polarimetric SAR Signature Analysis From RADARSAT Constellation Mission
Hamid Jafarzadeh, Abhinav Verma, Masoud Mahdianpari, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6308-6327
Open Access | Times Cited: 1
Spatially Explicit Active Learning for Crop-Type Mapping from Satellite Image Time Series
Beatrice Kaijage, Mariana Belgiu, W. Bijker
Sensors (2024) Vol. 24, Iss. 7, pp. 2108-2108
Open Access | Times Cited: 1
Mitigating Incidence Angle Effects in Airborne SAR Time-Series Crop Classification: Integrating Transfer Learning and Variational Mode Decomposition
Xingli Qin, Lingli Zhao, J. Yang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 14502-14520
Open Access | Times Cited: 1
Mapping of Kharif Sown Area Using Temporal RISAT-1A SAR and Optical Data
P. Srikanth, Anima Biswal, Bhavana Sahay, et al.
Journal of the Indian Society of Remote Sensing (2024)
Closed Access | Times Cited: 1
Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images
Saeideh Maleki, Nicolas Baghdadi, Hassan Bazzi, et al.
Remote Sensing (2024) Vol. 16, Iss. 23, pp. 4548-4548
Open Access | Times Cited: 1
Spatio-Temporal Urban Change Mapping With Time-Series SAR Data
Meiqin Che, Anna Vizziello, Paolo Gamba
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022) Vol. 15, pp. 7222-7234
Open Access | Times Cited: 6
A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands
Qiongyan Peng, Ruoque Shen, Jie Dong, et al.
Frontiers in Environmental Science (2023) Vol. 10
Open Access | Times Cited: 3
Evaluating the Capability of Sentinel-1 Data in the Classification of Canola and Wheat at Different Growth Stages and in Different Years
Lingli Zhao, Shuang Wang, Yubin Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 11, pp. 2731-2731
Open Access | Times Cited: 3
Monitoring the impacts of crop residue cover on agricultural productivity and soil chemical and physical characteristics
Mohammad Kazemi Garajeh, Keyvan Hassangholizadeh, Amir Reza Bakhshi Lomer, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Development of Adaptive Time-Weighted Dynamic Time Warping for Time Series Vegetation Classification Using Satellite Images in Solapur District
Manisha Kumawat, Arti Khaparde
The Computer Journal (2022) Vol. 66, Iss. 8, pp. 1982-1999
Closed Access | Times Cited: 5
Fusion of Multi-Temporal PAZ and Sentinel-1 Data for Crop Classification
Mario Busquier, Rubén Valcarce-Diñeiro, Juan M. López‐Sánchez, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3915-3915
Open Access | Times Cited: 6

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