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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 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

Showing 1-25 of 70 citing articles:

Sentinel-2 Data for Land Cover/Use Mapping: A Review
Darius Phiri, Matamyo Simwanda, Serajis Salekin, et al.
Remote Sensing (2020) Vol. 12, Iss. 14, pp. 2291-2291
Open Access | Times Cited: 588
Combining texture, color, and vegetation indices from fixed-wing UAS imagery to estimate wheat growth parameters using multivariate regression methods
Jiayi Zhang, Xiaolei Qiu, Yueting Wu, et al.
Computers and Electronics in Agriculture (2021) Vol. 185, pp. 106138-106138
Closed Access | Times Cited: 95
Mapping Winter Crops Using a Phenology Algorithm, Time-Series Sentinel-2 and Landsat-7/8 Images, and Google Earth Engine
Li Pan, Haoming Xia, Xiaoyang Zhao, et al.
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2510-2510
Open Access | Times Cited: 93
Detecting crop phenology from vegetation index time-series data by improved shape model fitting in each phenological stage
Licong Liu, Ruyin Cao, Jin Chen, et al.
Remote Sensing of Environment (2022) Vol. 277, pp. 113060-113060
Closed Access | Times Cited: 51
A new phenology-based method for mapping wheat and barley using time-series of Sentinel-2 images
Davoud Ashourloo, Hamed Nematollahi, Alfredo Huete, et al.
Remote Sensing of Environment (2022) Vol. 280, pp. 113206-113206
Closed Access | Times Cited: 43
Automated in-season mapping of winter wheat in China with training data generation and model transfer
Gaoxiang Yang, Xingrong Li, Pengzhi Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 202, pp. 422-438
Closed Access | Times Cited: 38
A spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages
Chang Qu, Peijun Li, Chengming Zhang
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 175, pp. 431-447
Closed Access | Times Cited: 54
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine
Gaoxiang Yang, Weiguo Yu, Xia Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102446-102446
Open Access | Times Cited: 53
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
Smallholder Crop Type Mapping and Rotation Monitoring in Mountainous Areas with Sentinel-1/2 Imagery
Tingting Ren, Hongtao Xu, Xiumin Cai, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 566-566
Open Access | Times Cited: 33
Spatiotemporal characteristics of meteorological to hydrological drought propagation under natural conditions in China
Qi Zhang, Chiyuan Miao, Jiaojiao Gou, et al.
Weather and Climate Extremes (2022) Vol. 38, pp. 100505-100505
Closed Access | Times Cited: 31
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
Using Remote Sensing Vegetation Indices for the Discrimination and Monitoring of Agricultural Crops: A Critical Review
Roxana Vidican, Anamaria Mălinaş, Ovidiu RANTA, et al.
Agronomy (2023) Vol. 13, Iss. 12, pp. 3040-3040
Open Access | Times Cited: 21
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
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
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
Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data
Xianda Huang, Jianxi Huang, Xuecao Li, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 1534-1549
Open Access | Times Cited: 28
Crop Type Identification Using High-Resolution Remote Sensing Images Based on an Improved DeepLabV3+ Network
Chang Zhu, Hu Li, Donghua Chen, et al.
Remote Sensing (2023) Vol. 15, Iss. 21, pp. 5088-5088
Open Access | Times Cited: 17
A Lightweight Winter Wheat Planting Area Extraction Model Based on Improved DeepLabv3+ and CBAM
Yao Zhang, Hong Wang, Jiahao Liu, et al.
Remote Sensing (2023) Vol. 15, Iss. 17, pp. 4156-4156
Open Access | Times Cited: 16
A spatiotemporal shape model fitting method for within-season crop phenology detection
Ruyin Cao, Luchun Li, Licong Liu, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 217, pp. 179-198
Closed Access | Times Cited: 6
Remote Sensing Index for Mapping Canola Flowers Using MODIS Data
Yunze Zang, Xuehong Chen, Jin Chen, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3912-3912
Open Access | Times Cited: 35
Winter Wheat Mapping in Shandong Province of China with Multi-Temporal Sentinel-2 Images
Yongyu Feng, Bingyao Chen, Wei Liu, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3940-3940
Open Access | Times Cited: 4
A temporal-spatial deep learning network for winter wheat mapping using time-series Sentinel-2 imagery
Lingling Fan, Lang Xia, Jing Yang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 214, pp. 48-64
Closed Access | Times Cited: 4
A robust method for mapping soybean by phenological aligning of Sentinel-2 time series
Xin Huang, Anton Vrieling, Yue Dou, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 1-18
Open Access | Times Cited: 4
Does any phenological event defined by remote sensing deserve particular attention? An examination of spring phenology of winter wheat in Northern China
Xuehong Chen, Wenqing Wang, Jin Chen, et al.
Ecological Indicators (2020) Vol. 116, pp. 106456-106456
Open Access | Times Cited: 30
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