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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 in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
Kersten Clauss, Huimin Yan, Claudia Kuenzer
Remote Sensing (2016) Vol. 8, Iss. 5, pp. 434-434
Open Access | Times Cited: 105

Showing 1-25 of 105 citing articles:

Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques
Sherrie Wang, George Azzari, David B. Lobell
Remote Sensing of Environment (2019) Vol. 222, pp. 303-317
Closed Access | Times Cited: 333
Monitoring Rice Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2
Nathan Torbick, Diya Chowdhury, William Salas, et al.
Remote Sensing (2017) Vol. 9, Iss. 2, pp. 119-119
Open Access | Times Cited: 254
Mapping rice extent and cropping scheme in the Mekong Delta using Sentinel-1A data
Duy Nguyễn, A. Gruber, Wolfgang Wagner
Remote Sensing Letters (2016) Vol. 7, Iss. 12, pp. 1209-1218
Closed Access | Times Cited: 183
Large increases of paddy rice area, gross primary production, and grain production in Northeast China during 2000–2017
Fengfei Xin, Xiangming Xiao, Jinwei Dong, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 135183-135183
Closed Access | Times Cited: 175
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: 157
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine
Rongguang Ni, Jinyan Tian, Xiaojuan Li, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2021) Vol. 178, pp. 282-296
Closed Access | Times Cited: 126
Annual paddy rice planting area and cropping intensity datasets and their dynamics in the Asian monsoon region from 2000 to 2020
Jichong Han, Zhao Zhang, Yuchuan Luo, et al.
Agricultural Systems (2022) Vol. 200, pp. 103437-103437
Closed Access | Times Cited: 104
Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020
Chengkang Zhang, Hongyan Zhang, Sijing Tian
Computers and Electronics in Agriculture (2023) Vol. 212, pp. 108105-108105
Closed Access | Times Cited: 61
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
Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data
Seonyoung Park, Jungho Im, Seohui Park, et al.
Remote Sensing (2018) Vol. 10, Iss. 3, pp. 447-447
Open Access | Times Cited: 142
Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data
Alex O. Onojeghuo, George Alan Blackburn, Qunming Wang, et al.
International Journal of Remote Sensing (2017) Vol. 39, Iss. 4, pp. 1042-1067
Open Access | Times Cited: 129
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
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
Automated Near-Real-Time Mapping and Monitoring of Rice Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform
Rudiyanto Rudiyanto, Budiman Minasny, Ramisah Mohd Shah, et al.
Remote Sensing (2019) Vol. 11, Iss. 14, pp. 1666-1666
Open Access | Times Cited: 94
Mapping rice areas with Sentinel-1 time series and superpixel segmentation
Kersten Clauss, Marco Ottinger, Claudia Kuenzer
International Journal of Remote Sensing (2017) Vol. 39, Iss. 5, pp. 1399-1420
Open Access | Times Cited: 91
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
Improving prediction of soil organic carbon content in croplands using phenological parameters extracted from NDVI time series data
Lin Yang, Xianglin He, Feixue Shen, et al.
Soil and Tillage Research (2019) Vol. 196, pp. 104465-104465
Closed Access | Times Cited: 77
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
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
Monitoring Agricultural Expansion in Burkina Faso over 14 Years with 30 m Resolution Time Series: The Role of Population Growth and Implications for the Environment
Kim Knauer, Ursula Geßner, Rasmus Fensholt, et al.
Remote Sensing (2017) Vol. 9, Iss. 2, pp. 132-132
Open Access | Times Cited: 79
Remote Sensing-Based Quantification of the Impact of Flash Flooding on the Rice Production: A Case Study over Northeastern Bangladesh
M. Razu Ahmed, Khan Rubayet Rahaman, Aaron Kok, et al.
Sensors (2017) Vol. 17, Iss. 10, pp. 2347-2347
Open Access | Times Cited: 69
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
Monitoring the Vegetation Dynamics in the Dongting Lake Wetland from 2000 to 2019 Using the BEAST Algorithm Based on Dense Landsat Time Series
Yaotong Cai, Shutong Liu, Hui Lin
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4209-4209
Open Access | Times Cited: 54
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