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:

Monitoring Maize Growth and Calculating Plant Heights with Synthetic Aperture Radar (SAR) and Optical Satellite Images
İbrahim Arslan, Mehmet Topakçı, Nusret Demir
Agriculture (2022) Vol. 12, Iss. 6, pp. 800-800
Open Access | Times Cited: 12

Showing 12 citing articles:

Maize height estimation using combined unmanned aerial vehicle oblique photography and LIDAR canopy dynamic characteristics
Tao Liu, Shaolong Zhu, Tianle Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 218, pp. 108685-108685
Closed Access | Times Cited: 17

Multi-Annual Evaluation of Time Series of Sentinel-1 Interferometric Coherence as a Tool for Crop Monitoring
Arturo Villarroya-Carpio, Juan M. López‐Sánchez
Sensors (2023) Vol. 23, Iss. 4, pp. 1833-1833
Open Access | Times Cited: 17

A Systematic Review of Vegetation Indices for Potato Growth Monitoring and Tuber Yield Prediction from Remote Sensing
Alex Mukiibi, A. T. B. Machakaire, A.C. Franke, et al.
Potato Research (2024)
Open Access | Times Cited: 5

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

Field maturity detection via interferometric synthetic aperture radar images time-series: a case study for maize crop
Sebastián Amherdt, Luciana Nieto, Ana Julia Paula Carcedo, et al.
International Journal of Remote Sensing (2023) Vol. 44, Iss. 5, pp. 1417-1432
Closed Access | Times Cited: 3

Plant height defined growth curves during vegetative development have the potential to predict end of season maize yield and assist with mid-season management decisions
Dorothy D. Sweet, Julian Cooper, Cory D. Hirsch, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access

Optimize the Estimation of Maize Height Using Sentinel-1: A Case Study in Umbria, Italy
Iva Hrelja, Andrea Soccolini, Sara Antognelli, et al.
Lecture notes in computer science (2024), pp. 274-285
Closed Access

Synergic Use of SAR and Optical Data for Feature Extraction
A Mazza, Matteo Ciotola, Giovanni Poggi, et al.
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2023), pp. 2061-2064
Closed Access | Times Cited: 1

MEMPERKIRAKAN PENURUNAN TANAH MENGGUNAKAN DATA SENTINEL 1 SAR DIBERBAGAI TIPE PENGGUNAAN LAHAN DI KOTA PADANG
Yudi Antomi, Fajrin
JST (Jurnal Sains dan Teknologi) (2022) Vol. 11, Iss. 2, pp. 380-388
Open Access | Times Cited: 2

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