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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:

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

Showing 1-25 of 84 citing articles:

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
Google Earth Engine: A Global Analysis and Future Trends
Andrés Velástegui-Montoya, Néstor Montalván-Burbano, Paúl Carrión-Mero, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3675-3675
Open Access | Times Cited: 75
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
Cloud-based storage and computing for remote sensing big data: a technical review
Chen Xu, Xiaoping Du, Xiangtao Fan, et al.
International Journal of Digital Earth (2022) Vol. 15, Iss. 1, pp. 1417-1445
Open Access | Times Cited: 44
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
High-resolution distribution maps of single-season rice in China from 2017 to 2022
Ruoque Shen, Baihong Pan, Qiongyan Peng, et al.
Earth system science data (2023) Vol. 15, Iss. 7, pp. 3203-3222
Open Access | Times Cited: 37
ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications
Shuang Chen, Jie Wang, Peng Gong
Remote Sensing of Environment (2023) Vol. 294, pp. 113616-113616
Closed Access | Times Cited: 32
Demonstration of large area land cover classification with a one dimensional convolutional neural network applied to single pixel temporal metric percentiles
Hankui K. Zhang, David P. Roy, Dong Luo
Remote Sensing of Environment (2023) Vol. 295, pp. 113653-113653
Open Access | Times Cited: 28
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
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
Dynamic UAV data fusion and deep learning for improved maize phenological-stage tracking
Ziheng Feng, Jiliang Zhao, Liunan Suo, et al.
The Crop Journal (2025)
Open Access | Times Cited: 1
Rice mapping based on Sentinel-1 images using the coupling of prior knowledge and deep semantic segmentation network: A case study in Northeast China from 2019 to 2021
Pengliang Wei, Dengfeng Chai, Ran Huang, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102948-102948
Open Access | Times Cited: 32
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
Application of Deep Learning in Multitemporal Remote Sensing Image Classification
Xinglu Cheng, Yonghua Sun, Wangkuan Zhang, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3859-3859
Open Access | Times Cited: 22
Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC)
Yunze Zang, Yuean Qiu, Xuehong Chen, et al.
GIScience & Remote Sensing (2023) Vol. 60, Iss. 1
Open Access | Times Cited: 21
Harvesting the Landsat archive for land cover land use classification using deep neural networks: Comparison with traditional classifiers and multi-sensor benefits
Giorgos Mountrakis, Shahriar S. Heydari
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 200, pp. 106-119
Open Access | Times Cited: 21
Deep ResU-Net Convolutional Neural Networks Segmentation for Smallholder Paddy Rice Mapping Using Sentinel 1 SAR and Sentinel 2 Optical Imagery
Alex O. Onojeghuo, Yuxin Miao, George Alan Blackburn
Remote Sensing (2023) Vol. 15, Iss. 6, pp. 1517-1517
Open Access | Times Cited: 19
Enhancing Land Cover/Land Use (LCLU) classification through a comparative analysis of hyperparameters optimization approaches for deep neural network (DNN)
Ali Azedou, Aouatif Amine, Isaya Kisekka, et al.
Ecological Informatics (2023) Vol. 78, pp. 102333-102333
Open Access | Times Cited: 19
Review of synthetic aperture radar with deep learning in agricultural applications
Mahya G.Z. Hashemi, Ehsan Jalilvand, Hamed Alemohammad, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 218, pp. 20-49
Closed Access | Times Cited: 7
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
Machine Learning and Deep Learning in Remote Sensing Data Analysis
Hankui K. Zhang, Shi Qiu, Ji Won Suh, et al.
Elsevier eBooks (2024)
Closed Access | Times Cited: 5
Indonesia Rice Irrigation System: Time for Innovation
R Tirtalistyani, Murtiningrum Murtiningrum, R. S. Kanwar
Sustainability (2022) Vol. 14, Iss. 19, pp. 12477-12477
Open Access | Times Cited: 20
Effects of optical and radar satellite observations within Google Earth Engine on soil organic carbon prediction models in Spain
Tao Zhou, Yajun Geng, Wenhao Lv, et al.
Journal of Environmental Management (2023) Vol. 338, pp. 117810-117810
Closed Access | Times Cited: 13
Automated Rice Phenology Stage Mapping Using UAV Images and Deep Learning
Xiangyu Lǚ, Jun Zhou, Rui Yang, et al.
Drones (2023) Vol. 7, Iss. 2, pp. 83-83
Open Access | Times Cited: 12
A Physically Interpretable Rice Field Extraction Model for PolSAR Imagery
Ji Ge, Hong Zhang, Lu Xu, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 974-974
Open Access | Times Cited: 12
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