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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 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

Showing 1-25 of 158 citing articles:

Crop Monitoring Using Sentinel-1 Data: A Case Study from The Netherlands
Saeed Khabbazan, Paul Vermunt, Susan Steele‐Dunne, et al.
Remote Sensing (2019) Vol. 11, Iss. 16, pp. 1887-1887
Open Access | Times Cited: 159
A robust index to extract paddy fields in cloudy regions from SAR time series
Shuai Xu, Xiaolin Zhu, Jin Chen, et al.
Remote Sensing of Environment (2022) Vol. 285, pp. 113374-113374
Open Access | Times Cited: 83
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
Crop NDVI Monitoring Based on Sentinel 1
Roberto Filgueiras, Everardo Chartuni Mantovani, Daniel Althoff, et al.
Remote Sensing (2019) Vol. 11, Iss. 12, pp. 1441-1441
Open Access | Times Cited: 98
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
Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain
Hassan Bazzi, Nicolas Baghdadi, Dino Ienco, et al.
Remote Sensing (2019) Vol. 11, Iss. 15, pp. 1836-1836
Open Access | Times Cited: 84
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
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
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
A novel and robust method for large-scale single-season rice mapping based on phenology and statistical data
Maolin Yang, Bin Guo, Jianlin Wang
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 213, pp. 14-32
Closed Access | Times Cited: 9
Irrigated rice-field mapping in Brazil using phenological stage information and optical and microwave remote sensing
André Dalla Bernardina Garcia, MD Samiul Islam, Victor Hugo Rohden Prudente, et al.
Applied Computing and Geosciences (2025), pp. 100223-100223
Open Access | Times Cited: 1
Plot-Rice v1.0: A global plot-based rice benchmark dataset with spatiotemporal heterogeneity for scientific deep learning
Ji Ge, Hong Zhang, Wenjiang Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 140, pp. 104569-104569
Closed Access | Times Cited: 1
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
Paddy Rice Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model
Lu Xu, Hong Zhang, Chao Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 19, pp. 3994-3994
Open Access | Times Cited: 51
A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan
Nguyễn Thanh Sơn, Chi-Farn Chen, Cheng-Ru Chen, et al.
International Journal of Remote Sensing (2021) Vol. 42, Iss. 7, pp. 2722-2739
Closed Access | Times Cited: 46
NESEA-Rice10: high-resolution annual paddy rice maps for Northeast and Southeast Asia from 2017 to 2019
Jichong Han, Zhao Zhang, Yuchuan Luo, et al.
Earth system science data (2021) Vol. 13, Iss. 12, pp. 5969-5986
Open Access | Times Cited: 43
National Crop Mapping Using Sentinel-1 Time Series: A Knowledge-Based Descriptive Algorithm
Carole Planque, Richard Lucas, Suvarna Punalekar, et al.
Remote Sensing (2021) Vol. 13, Iss. 5, pp. 846-846
Open Access | Times Cited: 42
Mapping Paddy Rice Distribution and Cropping Intensity in China from 2014 to 2019 with Landsat Images, Effective Flood Signals, and Google Earth Engine
Jun Wei, Yuanlai Cui, Wanqi Luo, et al.
Remote Sensing (2022) Vol. 14, Iss. 3, pp. 759-759
Open Access | Times Cited: 33
Rice Mapping in a Subtropical Hilly Region Based on Sentinel-1 Time Series Feature Analysis and the Dual Branch BiLSTM Model
Chunling Sun, Hong Zhang, Ji Ge, et al.
Remote Sensing (2022) Vol. 14, Iss. 13, pp. 3213-3213
Open Access | Times Cited: 31
An automated extraction of small- and middle-sized rice fields under complex terrain based on SAR time series: A case study of Chongqing
Lihua Wang, Hao Ma, Jialin Li, et al.
Computers and Electronics in Agriculture (2022) Vol. 200, pp. 107232-107232
Open Access | Times Cited: 31
Improved phenology-based rice mapping algorithm by integrating optical and radar data
Zizhang Zhao, Jinwei Dong, Geli Zhang, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114460-114460
Closed Access | Times Cited: 7
Near Real-Time Irrigation Detection at Plot Scale Using Sentinel-1 Data
Hassan Bazzi, Nicolas Baghdadi, Ibrahim Fayad, et al.
Remote Sensing (2020) Vol. 12, Iss. 9, pp. 1456-1456
Open Access | Times Cited: 49
Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
Anesmar Olino de Albuquerque, Osmar Abílio de Carvalho Júnior, Osmar Luiz Ferreira de Carvalho, et al.
Remote Sensing (2020) Vol. 12, Iss. 13, pp. 2159-2159
Open Access | Times Cited: 49
Automatic Mapping of Rice Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1
Fadhlullah Ramadhani, Reddy Pullanagari, Gábor Kereszturi, et al.
Remote Sensing (2020) Vol. 12, Iss. 21, pp. 3613-3613
Open Access | Times Cited: 46
Integration of Sentinel-1 and Sentinel-2 Data for Land Cover Mapping Using W-Net
Massimiliano Gargiulo, Domenico A. G. Dell’Aglio, Antonio Iodice, et al.
Sensors (2020) Vol. 20, Iss. 10, pp. 2969-2969
Open Access | Times Cited: 42
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