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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 Winter Wheat Planting Area and Monitoring Its Phenology Using Sentinel-1 Backscatter Time Series
Yang Song, Jing Wang
Remote Sensing (2019) Vol. 11, Iss. 4, pp. 449-449
Open Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images
Jie Wang, Xiangming Xiao, Luo Liu, et al.
Remote Sensing of Environment (2020) Vol. 247, pp. 111951-111951
Open Access | Times Cited: 170
Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China
Haifeng Tian, Jie Pei, Jianxi Huang, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3539-3539
Open Access | Times Cited: 149
Mapping and classification of Liao River Delta coastal wetland based on time series and multi-source GaoFen images using stacking ensemble model
Huiya Qian, Nisha Bao, Dantong Meng, et al.
Ecological Informatics (2024) Vol. 80, pp. 102488-102488
Open Access | Times Cited: 19
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages
Audrey Mercier, Julie Betbeder, Jacques Baudry, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 163, pp. 231-256
Open Access | Times Cited: 135
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment
Narayanarao Bhogapurapu, Subhadip Dey, Avik Bhattacharya, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 178, pp. 20-35
Open Access | Times Cited: 72
Potential of C-band Synthetic Aperture Radar Sentinel-1 time-series for the monitoring of phenological cycles in a deciduous forest
Kamel Soudani, Nicolas Delpierre, Daniel Berveiller, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 104, pp. 102505-102505
Open Access | Times Cited: 57
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
A twenty-year dataset of high-resolution maize distribution in China
Qiongyan Peng, Ruoque Shen, Xiangqian Li, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 32
Mapping upland crop–rice cropping systems for targeted sustainable intensification in South China
Bingwen Qiu, Linhai Yu, Peng Yang, et al.
The Crop Journal (2024) Vol. 12, Iss. 2, pp. 614-629
Open Access | Times Cited: 9
Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping
Qi Dong, Xuehong Chen, Jin Chen, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1274-1274
Open Access | Times Cited: 70
Detection and Quantification of Irrigation Water Amounts at 500 m Using Sentinel-1 Surface Soil Moisture
Luca Zappa, Stefan Schlaffer, Bernhard Bauer-Marschallinger, et al.
Remote Sensing (2021) Vol. 13, Iss. 9, pp. 1727-1727
Open Access | Times Cited: 47
The Accuracy of Winter Wheat Identification at Different Growth Stages Using Remote Sensing
Liu Sheng-wei, Dailiang Peng, Bing Zhang, et al.
Remote Sensing (2022) Vol. 14, Iss. 4, pp. 893-893
Open Access | Times Cited: 36
Performance and the Optimal Integration of Sentinel-1/2 Time-Series Features for Crop Classification in Northern Mongolia
Battsetseg Tuvdendorj, Hongwei Zeng, Bingfang Wu, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1830-1830
Open Access | Times Cited: 34
Mapping Winter Wheat with Optical and SAR Images Based on Google Earth Engine in Henan Province, China
Changchun Li, Weinan Chen, Yilin Wang, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 284-284
Open Access | Times Cited: 30
Long-term (2013–2022) mapping of winter wheat in the North China Plain using Landsat data: classification with optimal zoning strategy
Yifei Liu, Xuehong Chen, Jin Chen, et al.
Big Earth Data (2024) Vol. 8, Iss. 3, pp. 494-521
Open Access | Times Cited: 8
Normalizing the Local Incidence Angle in Sentinel-1 Imagery to Improve Leaf Area Index, Vegetation Height, and Crop Coefficient Estimations
Gregoriy Kaplan, Lior Fine, Victor Lukyanov, et al.
Land (2021) Vol. 10, Iss. 7, pp. 680-680
Open Access | Times Cited: 40
Machine Learning Optimised Hyperspectral Remote Sensing Retrieves Cotton Nitrogen Status
Ian J. Marang, Patrick Filippi, T. B. Weaver, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1428-1428
Open Access | Times Cited: 38
Comparison of Regional Winter Wheat Mapping Results from Different Similarity Measurement Indicators of NDVI Time Series and Their Optimized Thresholds
Fangjie Li, Jianqiang Ren, Shangrong Wu, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1162-1162
Open Access | Times Cited: 36
A machine learning approach for accurate crop type mapping using combined SAR and optical time series data
Rahat Tufail, Adeel Ahmad, Muhammad Asif Javed, et al.
Advances in Space Research (2021) Vol. 69, Iss. 1, pp. 331-346
Closed Access | Times Cited: 36
Mapping Crop Types Using Sentinel-2 Data Machine Learning and Monitoring Crop Phenology with Sentinel-1 Backscatter Time Series in Pays de Brest, Brittany, France
Guanyao Xie, Simona Niculescu
Remote Sensing (2022) Vol. 14, Iss. 18, pp. 4437-4437
Open Access | Times Cited: 28
Identification of Crop Type Based on C-AENN Using Time Series Sentinel-1A SAR Data
Zhengwei Guo, Wenwen Qi, Yabo Huang, et al.
Remote Sensing (2022) Vol. 14, Iss. 6, pp. 1379-1379
Open Access | Times Cited: 25
Assessing the Effect of Drought on Winter Wheat Growth Using Unmanned Aerial System (UAS)-Based Phenotyping
Mahendra Bhandari, Shannon Baker, Jackie C. Rudd, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1144-1144
Open Access | Times Cited: 33
Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series
Ivo Augusto Lopes Magalhães, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Remote Sensing (2022) Vol. 14, Iss. 19, pp. 4858-4858
Open Access | Times Cited: 21
NDVI estimation using Sentinel-1 data over wheat fields in a semiarid Mediterranean region
Emna Ayari, Zeineb Kassouk, Zohra Lili‐Chabaane, et al.
GIScience & Remote Sensing (2024) Vol. 61, Iss. 1
Open Access | Times Cited: 4
Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data
Rei Sonobe
Remote Sensing (2019) Vol. 11, Iss. 10, pp. 1148-1148
Open Access | Times Cited: 35
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