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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 up-to-Date Paddy Rice Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images
Xin Zhang, Bingfang Wu, Guillermo E. Ponce‐Campos, et al.
Remote Sensing (2018) Vol. 10, Iss. 8, pp. 1200-1200
Open Access | Times Cited: 121

Showing 1-25 of 121 citing articles:

The First Wetland Inventory Map of Newfoundland at a Spatial Resolution of 10 m Using Sentinel-1 and Sentinel-2 Data on the Google Earth Engine Cloud Computing Platform
Masoud Mahdianpari, Bahram Salehi, Fariba Mohammadimanesh, et al.
Remote Sensing (2018) Vol. 11, Iss. 1, pp. 43-43
Open Access | Times Cited: 269
The 10-m crop type maps in Northeast China during 2017–2019
Nanshan You, Jinwei Dong, Jianxi Huang, et al.
Scientific Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 268
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine
Nanshan You, Jinwei Dong
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 161, pp. 109-123
Closed Access | Times Cited: 237
Mapping Winter Crops in China with Multi-Source Satellite Imagery and Phenology-Based Algorithm
Haifeng Tian, Ni Huang, Zheng Niu, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 820-820
Open Access | Times Cited: 193
Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France
Hassan Bazzi, Nicolas Baghdadi, Mohammad El Hajj, et al.
Remote Sensing (2019) Vol. 11, Iss. 7, pp. 887-887
Open Access | Times Cited: 158
Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series
Hugo Crisóstomo de Castro Filho, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Remote Sensing (2020) Vol. 12, Iss. 16, pp. 2655-2655
Open Access | Times Cited: 149
Challenges and opportunities in remote sensing-based crop monitoring: a review
Bingfang Wu, Miao Zhang, Hongwei Zeng, et al.
National Science Review (2022) Vol. 10, Iss. 4
Open Access | Times Cited: 117
Development of a 10-m resolution maize and soybean map over China: Matching satellite-based crop classification with sample-based area estimation
Haijun Li, Xiao‐Peng Song, Matthew C. Hansen, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113623-113623
Closed Access | Times Cited: 57
EARice10: a 10 m resolution annual rice distribution map of East Asia for 2023
Mingyang Song, Lu Xu, Ji Ge, et al.
Earth system science data (2025) Vol. 17, Iss. 2, pp. 661-683
Open Access | Times Cited: 2
Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
Meng Zhang, Hui Lin, Guangxing Wang, et al.
Remote Sensing (2018) Vol. 10, Iss. 11, pp. 1840-1840
Open Access | Times Cited: 122
An automated rice mapping method based on flooding signals in synthetic aperture radar time series
Pei Zhan, Wenquan Zhu, Nan Li
Remote Sensing of Environment (2020) Vol. 252, pp. 112112-112112
Closed Access | Times Cited: 116
Mapping Paddy Rice with Satellite Remote Sensing: A Review
Rongkun Zhao, Yuechen Li, Mingguo Ma
Sustainability (2021) Vol. 13, Iss. 2, pp. 503-503
Open Access | Times Cited: 95
Examining rice distribution and cropping intensity in a mixed single- and double-cropping region in South China using all available Sentinel 1/2 images
Yingli He, Jinwei Dong, Xiaoyong Liao, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 101, pp. 102351-102351
Open Access | Times Cited: 87
Deep machine learning with Sentinel satellite data to map paddy rice production stages across West Java, Indonesia
Kelly R. Thorp, D. Drajat
Remote Sensing of Environment (2021) Vol. 265, pp. 112679-112679
Open Access | Times Cited: 84
Remote sensing-based estimation of rice yields using various models: A critical review
Daniel Marc G. dela Torre, Jay Gao, Cate Macinnis‐Ng
Geo-spatial Information Science (2021) Vol. 24, Iss. 4, pp. 580-603
Open Access | Times Cited: 72
Mapping Paddy Rice with Sentinel-1/2 and Phenology-, Object-Based Algorithm—A Implementation in Hangjiahu Plain in China Using GEE Platform
Wu Xiao, Suchen Xu, Tingting He
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 990-990
Open Access | Times Cited: 70
High Resolution Distribution Dataset of Double-Season Paddy Rice in China
Baihong Pan, Yi Zheng, Ruoque Shen, et al.
Remote Sensing (2021) Vol. 13, Iss. 22, pp. 4609-4609
Open Access | Times Cited: 70
High-Resolution Mapping of Paddy Rice Extent and Growth Stages across Peninsular Malaysia Using a Fusion of Sentinel-1 and 2 Time Series Data in Google Earth Engine
Fatchurrachman, Rudiyanto Rudiyanto, Norhidayah Che Soh, et al.
Remote Sensing (2022) Vol. 14, Iss. 8, pp. 1875-1875
Open Access | Times Cited: 42
Twenty-meter annual paddy rice area map for mainland Southeast Asia using Sentinel-1 synthetic-aperture-radar data
Chunling Sun, Hong Zhang, Lu Xu, et al.
Earth system science data (2023) Vol. 15, Iss. 4, pp. 1501-1520
Open Access | Times Cited: 29
Recent soybean subsidy policy did not revitalize but stabilize the soybean planting areas in Northeast China
Yuanyuan Di, Nanshan You, Jinwei Dong, et al.
European Journal of Agronomy (2023) Vol. 147, pp. 126841-126841
Closed Access | Times Cited: 26
Effect of the Normalized Difference Vegetation Index (NDVI) on GIS-Enabled Bivariate and Multivariate Statistical Models for Landslide Susceptibility Mapping
K. C. Niraj, Ankit Singh, Dericks Praise Shukla
Journal of the Indian Society of Remote Sensing (2023) Vol. 51, Iss. 8, pp. 1739-1756
Closed Access | Times Cited: 24
Comparison of Cloud-Mask Algorithms and Machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy Rice in Jianghan Plain
Xinyi Gao, Hong Chi, Jinliang Huang, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1305-1305
Open Access | Times Cited: 9
Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform
Fuyou Tian, Bingfang Wu, Hongwei Zeng, et al.
Remote Sensing (2019) Vol. 11, Iss. 6, pp. 629-629
Open Access | Times Cited: 65
Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping
Leikun Yin, Nanshan You, Geli Zhang, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 162-162
Open Access | Times Cited: 59
Mapping Paddy Fields in Japan by Using a Sentinel-1 SAR Time Series Supplemented by Sentinel-2 Images on Google Earth Engine
Shimpei Inoue, Akihiko Ito, Chinatsu Yonezawa
Remote Sensing (2020) Vol. 12, Iss. 10, pp. 1622-1622
Open Access | Times Cited: 55
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