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 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

Showing 19 citing articles:

Artificial Intelligence Algorithms in Flood Prediction: A General Overview
Manish Pandey
Springer eBooks (2024), pp. 243-296
Closed Access | Times Cited: 5

Geolocation-Aware Deep Coding
Mojgan Madadikhaljan, Michael Schmitt
PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science (2025)
Open 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

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

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

Use of synthetic aperture radar data for the determination of normalized difference vegetation index and normalized difference water index
Amazonino Lemos Castro, Miquéias Lima Duarte, Henrique Ewbank, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 01
Closed Access | Times Cited: 1

SAR2NDVI: Pre-Training for SAR-to-NDVI Image Translation
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 3865-3869
Closed Access

Geolocation-Aware Land Cover Classification from Sentinel-2 Images
Mojgan Madadikhaljan, Michael Schmitt
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 31, pp. 9862-9865
Closed Access

Monitoring Crop Condition at Gield Scales and at a Daily Time Step Using Synthetic Aperture Radar (SAR)
Heather McNairn, Xianfeng Jiao
Canadian Journal of Remote Sensing (2024) Vol. 50, Iss. 1
Open Access

Using SAR data as an effective surrogate for optical data in nitrogen variable rate applications: A winter wheat case study
Luca Liverotti, Nicola Ferro, Luca Soli, et al.
Advances in Computational Science and Engineering (2024) Vol. 2, Iss. 4, pp. 320-341
Closed Access

Cloud gap-filling with deep learning for improved grassland monitoring
Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, et al.
Computers and Electronics in Agriculture (2024) Vol. 230, pp. 109732-109732
Open Access

Full cycle rice growth monitoring with dual-pol SAR data and interpretable deep learning
Ji Ge, Hong Zhang, Lu Xu, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access

The Effect of Contrastive Pretraining on Downstream Tasks in Optical Remote Sensing
Jonathan Prexl, Michael Schmitt
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 526-529
Closed Access

Temporal Upsampling of NDVI Time Series by RNN-Based Fusion of Sparse Optical and Dense SAR-Derived NDVI Data
Thomas Roßberg, Michael Schmitt
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 5990-5993
Closed Access

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