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:

Large-scale crop type and crop area mapping across Brazil using synthetic aperture radar and optical imagery
Olaniyi A. Ajadi, Jeremiah Barr, Sang-Zi Liang, et al.
International Journal of Applied Earth Observation and Geoinformation (2021) Vol. 97, pp. 102294-102294
Open Access | Times Cited: 41

Showing 26-50 of 41 citing articles:

Two-Stepwise Hierarchical Adaptive Threshold Method for Automatic Rapeseed Mapping over Jiangsu Using Harmonized Landsat/Sentinel-2
Shaomei Chen, Zhaofu Li, Tingli Ji, et al.
Remote Sensing (2022) Vol. 14, Iss. 11, pp. 2715-2715
Open Access | Times Cited: 8

Mapping 30-m cotton areas based on an automatic sample selection and machine learning method using Landsat and MODIS images
Zhuting Tan, Zhenyu Tan, Juhua Luo, et al.
Geo-spatial Information Science (2023) Vol. 27, Iss. 6, pp. 1767-1784
Open Access | Times Cited: 4

Spatial distribution of pesticide use based on crop rotation data in La Plata River basin: a case study from an agricultural region of Uruguay
Camila Fernández Nion, Ismael Díaz
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 7
Closed Access | Times Cited: 1

A Survey on Agriculture Monitoring with Satellite and Its Benefits
Sathiya Priya R, U. Rahamathunnisa
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2022), pp. 1854-1858
Closed Access | Times Cited: 5

Remote sensing classification approach to large‐scale crop cultivation identification: A case study of the Aral Sea Basin
Zhuojian Wen, Desheng Jiang, Jing Ye, et al.
Transactions in GIS (2023) Vol. 27, Iss. 8, pp. 2278-2296
Closed Access | Times Cited: 2

A Robust Index Based on Phenological Features to Extract Sugarcane from Multisource Remote Sensing Data
Yuanyuan Liu, Chao Ren, Jieyu Liang, et al.
Remote Sensing (2023) Vol. 15, Iss. 24, pp. 5783-5783
Open Access | Times Cited: 2

An automatic rice mapping method based on constrained feature matching exploiting Sentinel-1 data for arbitrary length time series
Xueqin Jiang, Shanjun Luo, Song Gao, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 114, pp. 103032-103032
Open Access | Times Cited: 3

A Unified Framework for Cropland Field Boundary Detection and Segmentation
Rodrigo Fill Rangel Seedz, Vítor Nascimento Lourenço Gaivota, Lucas Volochen Oldoni Seedz, et al.
(2024), pp. 636-644
Closed Access

Enhanced Corn Mapping with Height-Spectral Gaussian Mixture Modeling
Guilong Xiao, Jianxi Huang, Xuecao Li, et al.
(2024)
Closed Access

Gradient based optimizer with deep learning based agricultural land use and land cover classification on SAR data
Azween Abdullah, A. Daniel, Valliappan Raju
Journal of Infrastructure Policy and Development (2024) Vol. 8, Iss. 8, pp. 4488-4488
Open Access

Experimental Assessment of Feature Extraction Techniques Applied to the Identification of Properties of Common Objects, Using a Radar System
José-Francisco Díez-Pastor, P. Carmona, José Luis Garrido‐Labrador, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6745-6745
Open Access | Times Cited: 2

TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES
J. A. Chamorro, Raul Queiroz Feitosa, Patrick Nigri Happ, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2021) Vol. XLIII-B2-2021, pp. 923-929
Open Access

A Geo-Spatial Application for Brown Plant Hopper Pest Risk Prediction Over Rice Growing Areas of India
Parmita Ghosh, Sonal Bakiwala, Sunil Samson, et al.
2021 IEEE International India Geoscience and Remote Sensing Symposium (InGARSS) (2021), pp. 157-160
Closed Access

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