Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Spatial domain bridge transfer : An automated paddy rice mapping method with no training data required and decreased image inputs for the large cloudy area
Chengkang Zhang, Hongyan Zhang, Liangpei Zhang
Computers and Electronics in Agriculture (2021) Vol. 181, pp. 105978-105978
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
A. Narmilan, Arachchige Surantha Ashan Salgadoe, K.S. Powell, et al.
Remote Sensing Applications Society and Environment (2022) Vol. 26, pp. 100712-100712
Closed Access | Times Cited: 81
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
A full resolution deep learning network for paddy rice mapping using Landsat data
Lang Xia, Fen Zhao, Jin Chen, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 194, pp. 91-107
Closed Access | Times Cited: 44
AGTOC: A novel approach to winter wheat mapping by automatic generation of training samples and one-class classification on Google Earth Engine
Gaoxiang Yang, Weiguo Yu, Xia Yao, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 102, pp. 102446-102446
Open Access | Times Cited: 53
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
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
Spatial domain transfer: Cross-regional paddy rice mapping with a few samples based on Sentinel-1 and Sentinel-2 data on GEE
Lingyu Sun, Yuxin Lou, Qian Shi, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 128, pp. 103762-103762
Open Access | Times Cited: 7
A generalized model for mapping sunflower areas using Sentinel-1 SAR data
Abdul Qadir, Sergii Skakun, Nataliia Kussul, et al.
Remote Sensing of Environment (2024) Vol. 306, pp. 114132-114132
Closed Access | Times Cited: 7
CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data
Wenbin Liu, Shu Li, Jianbin Tao, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
An automated sample generation method by integrating phenology domain optical-SAR features in rice cropping pattern mapping
Jingya Yang, Qiong Hu, Wenjuan Li, et al.
Remote Sensing of Environment (2024) Vol. 314, pp. 114387-114387
Closed Access | Times Cited: 4
Generating an Annual 30m Rice Cover Product for Monsoon Asia (2018-2023) Using Harmonized Landsat and Sentinel-2 Data and the Nasa-Ibm Geospatial Foundation Model
Husheng Fang, Shunlin Liang, Wenyuan Li, et al.
(2025)
Closed Access
A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine
Yuqing Fan, Debao Yuan, Liuya Zhang, et al.
Agronomy (2025) Vol. 15, Iss. 4, pp. 873-873
Open Access
Stacked spectral feature space patch: An advanced spectral representation for precise crop classification based on convolutional neural network
Hui Chen, Yuean Qiu, Dameng Yin, et al.
The Crop Journal (2022) Vol. 10, Iss. 5, pp. 1460-1469
Open Access | Times Cited: 20
Rice Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels
Pengliang Wei, Ran Huang, Tao Lin, et al.
Remote Sensing (2022) Vol. 14, Iss. 2, pp. 328-328
Open Access | Times Cited: 16
A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data
Yizhen Zheng, Wen Dong, ZhipingYang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104204-104204
Open Access | Times Cited: 3
Machine Learning and Food Security: Insights for Agricultural Spatial Planning in the Context of Agriculture 4.0
Vítor João Pereira Domingues Martinho, Carlos Cunha, Maria Lúcia Pato, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11828-11828
Open Access | Times Cited: 15
Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review
Manuel García-Quismondo Fernández, Manuel Arbeló, Artur Gil
Sensors (2023) Vol. 23, Iss. 15, pp. 6932-6932
Open Access | Times Cited: 8
Multi-Dimensional Dataset of Open Data and Satellite Images for Characterization of Food Security and Nutrition
David Restrepo, Luis E. Pérez, Diego M. López, et al.
Frontiers in Nutrition (2022) Vol. 8
Open Access | Times Cited: 12
Using the Google Earth Engine cloud-computing platform to assess the long-term spatial temporal dynamics of land use and land cover within the Letaba watershed, South Africa
Makgabo Johanna Mashala, Timothy Dube, Kingsley Kwabena Ayisi, et al.
Geocarto International (2023) Vol. 38, Iss. 1
Open Access | Times Cited: 6
A novel approach: Coupling prior knowledge and deep learning methods for large-scale plastic greenhouse extraction using Sentinel-1/2 data
Chang Zhou, Jingfeng Huang, Yuanjun Xiao, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104073-104073
Open Access | Times Cited: 1
A novel red-edge vegetable index for paddy rice mapping based on Sentinel-1/2 and GF-6 images
Yiliang Wan, Yueqi Gong, Feng Xu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Automated rice mapping using multitemporal Sentinel-1 SAR imagery using dynamic threshold and slope-based index methods
Aishwarya Hegde A., Pruthviraj Umesh, Mohit P. Tahiliani
Remote Sensing Applications Society and Environment (2024), pp. 101410-101410
Closed Access | Times Cited: 1
Deep Learning-Based Virtual Optical Image Generation and Its Application to Early Crop Mapping
No-Wook Park, Min-Gyu Park, Geun-Ho Kwak, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1766-1766
Open Access | Times Cited: 4
Cross-region plastic greenhouse segmentation and counting using the style transfer and dual-task networks
Xiangyu Liu, Wei He, Hongyan Zhang
Computers and Electronics in Agriculture (2023) Vol. 207, pp. 107766-107766
Closed Access | Times Cited: 4
AUTS: A Novel Approach to Mapping Winter Wheat by Automatically Updating Training Samples Based on NDVI Time Series
Chunyang Wang, Huan Zhang, Xifang Wu, et al.
Agriculture (2022) Vol. 12, Iss. 6, pp. 817-817
Open Access | Times Cited: 6
Page 1 - Next Page

Scroll to top