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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:

A Machine Learning approach to reconstruct cloudy affected vegetation indices imagery via data fusion from Sentinel-1 and Landsat 8
Erli Pinto dos Santos, Demétrius David da Silva, Cibele Hummel do Amaral, et al.
Computers and Electronics in Agriculture (2022) Vol. 194, pp. 106753-106753
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

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
Optimal Integration of Optical and SAR Data for Improving Alfalfa Yield and Quality Traits Prediction: New Insights into Satellite-Based Forage Crop Monitoring
Jiang Chen, Tong Yu, J. H. Cherney, et al.
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 734-734
Open Access | Times Cited: 8
A Globally Applicable Method for NDVI Estimation from Sentinel-1 SAR Backscatter Using a Deep Neural Network and the SEN12TP Dataset
Thomas Roßberg, Michael Schmitt
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2023) Vol. 91, Iss. 3, pp. 171-188
Open Access | Times Cited: 19
Radar vegetation indices for monitoring surface vegetation: Developments, challenges, and trends
Xueqian Hu, Li Li, Jianxi Huang, et al.
The Science of The Total Environment (2024) Vol. 945, pp. 173974-173974
Closed Access | Times Cited: 6
Deep Learning Methods of Satellite Image Processing for Monitoring of Flood Dynamics in the Ganges Delta, Bangladesh
Polina Lemenkova
Water (2024) Vol. 16, Iss. 8, pp. 1141-1141
Open Access | Times Cited: 5
Combining Landsat 5 TM and UAV images to estimate river discharge with limited ground-based flow velocity and water level observations
Maomao Li, Changsen Zhao, Qi Huang, et al.
Remote Sensing of Environment (2025) Vol. 318, pp. 114610-114610
Closed Access
Identification, Mechanism and Countermeasures of Cropland Abandonment in Northeast Guangdong Province
Xiaojian Li, Linbing Ma, Xi Liu
Land (2025) Vol. 14, Iss. 2, pp. 246-246
Open Access
Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python
Polina Lemenkova
Examples and Counterexamples (2025) Vol. 7, pp. 100180-100180
Closed Access
Comparing the relationship between NDVI and SAR backscatter across different frequency bands in agricultural areas
Thomas Roßberg, Michael Schmitt
Remote Sensing of Environment (2025) Vol. 319, pp. 114612-114612
Open Access
Estimating vegetation indices and biophysical parameters for Central European temperate forests with Sentinel-1 SAR data and machine learning
Daniel Paluba, Bertrand Le Saux, Francesco Sarti, et al.
Big Earth Data (2025), pp. 1-32
Open Access
A lightweight spatiotemporal classification framework for tree species with entropy-based change resistance filter using satellite imagery
Biao Zhang, Zhichao Wang, Boyi Liang, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 138, pp. 104449-104449
Closed Access
Fusion-Based Approaches and Machine Learning Algorithms for Forest Monitoring: A Systematic Review
Abdullah Al Saim, Mohamed H. Aly
Wild (2025) Vol. 2, Iss. 1, pp. 7-7
Open Access
UAV LiDAR and Hyperspectral Data Synergy for Tree Species Classification in the Maoershan Forest Farm Region
Bin Wang, Jianyang Liu, Jianing Li, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1000-1000
Open Access | Times Cited: 14
An improved fusion of Landsat-7/8, Sentinel-2, and Sentinel-1 data for monitoring alfalfa: Implications for crop remote sensing
Jiang Chen, Zhou Zhang
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 124, pp. 103533-103533
Open Access | Times Cited: 11
Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework
Dairong Chen, Haoxuan Hu, Chunhua Liao, et al.
Computers and Electronics in Agriculture (2023) Vol. 215, pp. 108388-108388
Closed Access | Times Cited: 10
Sentinel-1 Imagery Used for Estimation of Soil Organic Carbon by Dual-Polarization SAR Vegetation Indices
Erli Pinto dos Santos, Michel Castro Moreira, Elpídio Inácio Fernandes Filho, et al.
Remote Sensing (2023) Vol. 15, Iss. 23, pp. 5464-5464
Open Access | Times Cited: 9
Understanding the Spatio-Temporal Behavior of Sentinel-1 SAR Vegetation Indices over the Brazilian Savanna
Jales de Freitas Bussinguer, Gustavo Macêdo de Mello Baptista, Edson Eyji Sano, et al.
IEEE Transactions on Geoscience and Remote Sensing (2024) Vol. 62, pp. 1-18
Closed Access | Times Cited: 3
Dense NDVI Time Series by Fusion of Optical and SAR-Derived Data
Thomas Roßberg, Michael Schmitt
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 7748-7758
Open Access | Times Cited: 2
Mapping Cropland Abandonment in the Cloudy Hilly Regions Surrounding the Southwest Basin of China
Yali Wei, Junjie Wen, Qunchao Zhou, et al.
Land (2024) Vol. 13, Iss. 5, pp. 586-586
Open Access | Times Cited: 2
Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China
Pengfei Zheng, Panfei Fang, Leiguang Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 979-979
Open Access | Times Cited: 6
Estimation of land surface temperature from AMSR2 microwave brightness temperature using machine learning methods
Wenjing Han, Si‐Bo Duan, Haijing Tian, et al.
International Journal of Remote Sensing (2023) Vol. 45, Iss. 19-20, pp. 7212-7233
Closed Access | Times Cited: 6
Synergetic Use of Sentinel-1 and Sentinel-2 Data for Wheat-Crop Height Monitoring Using Machine Learning
Lwandile Nduku, Cilence Munghemezulu, Zinhle Mashaba-Munghemezulu, et al.
AgriEngineering (2024) Vol. 6, Iss. 2, pp. 1093-1116
Open Access | Times Cited: 1
Plant disease mapping in paddy growing stages using remotely sensed data
Mohammad Mahdi Safari, A. Husni Malian
Environmental Earth Sciences (2024) Vol. 84, Iss. 1
Closed Access | Times Cited: 1
Multilayer optimized deep learning model to analyze spectral indices for predicting the condition of rice blast disease
Shubhajyoti Das, Pritam Bikram, Arindam Biswas, et al.
Remote Sensing Applications Society and Environment (2024), pp. 101394-101394
Closed Access | Times Cited: 1
Estimating NDVI from Sentinel-1 Sar Data Using Deep Learning
Thomas RoBberg, Michael Schmitt
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2022) Vol. 11, pp. 1412-1415
Closed Access | Times Cited: 6
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