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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:

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: 121

Showing 1-25 of 121 citing articles:

Google Earth Engine and Artificial Intelligence (AI): A Comprehensive Review
Liping Yang, Joshua Driscol, Sarigai Sarigai, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3253-3253
Open Access | Times Cited: 142
A first Chinese building height estimate at 10 m resolution (CNBH-10 m) using multi-source earth observations and machine learning
Wanben Wu, Jun Ma, Ellen Banzhaf, et al.
Remote Sensing of Environment (2023) Vol. 291, pp. 113578-113578
Open Access | Times Cited: 142
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: 93
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: 54
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery
Yumiao Wang, Luwei Feng, Zhou Zhang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 199, pp. 102-117
Closed Access | Times Cited: 48
A Google Earth Engine Algorithm to Map Phenological Metrics in Mountain Areas Worldwide with Landsat Collection and Sentinel-2
Tommaso Orusa, Annalisa Viani, Duke Cammareri, et al.
Geomatics (2023) Vol. 3, Iss. 1, pp. 221-238
Open Access | Times Cited: 40
Toward a better understanding of coastal salt marsh mapping: A case from China using dual-temporal images
Chuanpeng Zhao, Mingming Jia, Zongming Wang, et al.
Remote Sensing of Environment (2023) Vol. 295, pp. 113664-113664
Closed Access | Times Cited: 40
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
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: 43
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: 37
Machine Learning Classification of Fused Sentinel-1 and Sentinel-2 Image Data towards Mapping Fruit Plantations in Highly Heterogenous Landscapes
Yingisani Chabalala, Elhadi Adam, Khalid Adem Ali
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2621-2621
Open Access | Times Cited: 37
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: 27
Mapping the soil organic matter content in a typical black-soil area using optical data, radar data and environmental covariates
Chong Luo, Wenqi Zhang, Xinle Zhang, et al.
Soil and Tillage Research (2023) Vol. 235, pp. 105912-105912
Open Access | Times Cited: 23
Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images
G. Wang, Di Meng, Riqiang Chen, et al.
Remote Sensing (2024) Vol. 16, Iss. 2, pp. 277-277
Open Access | Times Cited: 9
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
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: 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: 30
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: 29
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: 18
Tide2Topo: A new method for mapping intertidal topography accurately in complex estuaries and bays with time-series Sentinel-2 images
Chunpeng Chen, Ce Zhang, Bo Tian, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2023) Vol. 200, pp. 55-72
Open Access | Times Cited: 18
FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery
Yuan Gao, Yaozhong Pan, Xiufang Zhu, et al.
Computers and Electronics in Agriculture (2023) Vol. 213, pp. 108262-108262
Closed Access | Times Cited: 17
Long-Term Changes in Water Body Area Dynamic and Driving Factors in the Middle-Lower Yangtze Plain Based on Multi-Source Remote Sensing Data
Wei Wang, Hongfen Teng, L. Zhao, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1816-1816
Open Access | Times Cited: 16
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: 6
Early Mapping Method for Different Planting Types of Rice Based on Planet and Sentinel-2 Satellite Images
Yunfei Yu, Linghua Meng, Chong Luo, et al.
Agronomy (2024) Vol. 14, Iss. 1, pp. 137-137
Open Access | Times Cited: 5
Advancements and Trends in Mangrove Species Mapping Based on Remote Sensing: A Comprehensive Review and Knowledge Visualization
Yuqi Wu, Chun-Yan Lu, Kexin Wu, et al.
Global Ecology and Conservation (2025), pp. e03408-e03408
Open Access
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