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:

RGB vs. Multispectral imagery: Mapping aapa mire plant communities with UAVs
Franziska Wolff, Tiina H. M. Kolari, Miguel Villoslada, et al.
Ecological Indicators (2023) Vol. 148, pp. 110140-110140
Open Access | Times Cited: 24

Showing 24 citing articles:

A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning
Riqiang Chen, Wenping Liu, Hao Yang, et al.
Computers and Electronics in Agriculture (2024) Vol. 219, pp. 108816-108816
Closed Access | Times Cited: 11

Evaluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived from RGB-Based UAV Images and Machine Learning Models
P. P. Ruwanpathirana, Kazuhito Sakai, Guttila Yugantha Jayasinghe, et al.
Agronomy (2024) Vol. 14, Iss. 9, pp. 2059-2059
Open Access | Times Cited: 6

The Spatial Analysis of Vegetation Cover and Permafrost Degradation for a Subarctic Palsa Mire Based on UAS Photogrammetry and GPR Data in the Kola Peninsula
Natalya Krutskikh, Pavel Ryazantsev, Pavel Ignashov, et al.
Remote Sensing (2023) Vol. 15, Iss. 7, pp. 1896-1896
Open Access | Times Cited: 13

Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images
Yiwen Liu, Songtao Ban, Shiwei Wei, et al.
Frontiers in Plant Science (2024) Vol. 14
Open Access | Times Cited: 4

Use of Indices in RGB and Random Forest Regression to Measure the Leaf Area Index in Maize
Leonardo Pinto de Magalhães, Fabrício Rossi
Agronomy (2024) Vol. 14, Iss. 4, pp. 750-750
Open Access | Times Cited: 4

From Air to Space: A Comprehensive Approach to Optimizing Aboveground Biomass Estimation on UAV-Based Datasets
Muhammad Nouman Khan, Yumin Tan, Lingfeng He, et al.
Forests (2025) Vol. 16, Iss. 2, pp. 214-214
Open Access

The PhenoLab – an automated, high-throughput phenotyping platform for analyzing development, abiotic stress responses and pathogen infection in model and crop plants
Daniel Buchvaldt Amby, Jesper Cairo Westergaard, Dominik K. Großkinsky, et al.
Smart Agricultural Technology (2025), pp. 100845-100845
Open Access

Performance of Sensors Embedded in UAVs for the Analysis and Identification of Pathologies in Building Façades
João Victor Ferreira Guedes, Gabriel de Sousa Meira, Edilson de Souza Bias, et al.
Buildings (2025) Vol. 15, Iss. 6, pp. 875-875
Open Access

Comparing multispectral and hyperspectral UAV data for detecting peatland vegetation patterns
Yuwen Pang, Aleksi Räsänen, Franziska Wolff, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 132, pp. 104043-104043
Open Access | Times Cited: 3

UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review
Gabriel de Sousa Meira, João Victor Ferreira Guedes, Edilson de Souza Bias
Drones (2024) Vol. 8, Iss. 7, pp. 341-341
Open Access | Times Cited: 3

Enhancing vegetation formation classification: Integrating coarse-scale traditional mapping knowledge and advanced machine learning
Tao Zhang, Baolin Li, Yecheng Yuan, et al.
The Science of The Total Environment (2024) Vol. 923, pp. 171477-171477
Closed Access | Times Cited: 1

Remote sensing of biogeophysical variables at the Cape Bounty Arctic Watershed Observatory, Melville Island, Nunavut, Canada
Paul Treitz, David M. Atkinson, A. Blaser, et al.
Arctic Science (2024) Vol. 10, Iss. 2, pp. 281-304
Closed Access | Times Cited: 1

Multi-resolution remote sensing for flark area detection in boreal aapa mires
Kaapro Keränen, Aleksi Isoaho, Aleksi Räsänen, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 13, pp. 4324-4343
Open Access | Times Cited: 1

Enhancing forest insect outbreak detection by integrating tree-ring and climate variables
Yao Jiang, Zhou Wang, Zhongrui Zhang, et al.
Journal of Forestry Research (2024) Vol. 35, Iss. 1
Closed Access | Times Cited: 1

Community identification and carbon storage monitoring of Heritiera littoralis with UAV hyperspectral imaging
Haoli Xiang, Zhen Shen, Longda Tan, et al.
Ecological Indicators (2024) Vol. 167, pp. 112653-112653
Open Access | Times Cited: 1

Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings
Rodrigo Hakamada, Jesus Prados-Coronado, Cassiano Lages, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4751-4751
Open Access | Times Cited: 2

Using UAVRS and deep learning to conduct resource surveys of threatened Tibetan medicinal plants in the Qinghai-Tibet Plateau
Chenghui Wang, Ziyi Li, Rong Ding, et al.
Global Ecology and Conservation (2024) Vol. 51, pp. e02884-e02884
Open Access

Quantifying vegetation cover on coastal active dunes using nationwide aerial image analysis
Cate Ryan, Hannah L. Buckley, Craig D. Bishop, et al.
Remote Sensing in Ecology and Conservation (2024)
Open Access

Forage Height and Above-Ground Biomass Estimation by Comparing UAV-Based Multispectral and RGB Imagery
Hongquan Wang, Keshav D. Singh, Hari P. Poudel, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5794-5794
Open Access

SooSim, a landscape model for assessing mire habitat degradation and restoration
Asko Lõhmus, Raido Kont, Triin Kaasiku, et al.
Ecological Informatics (2024), pp. 102844-102844
Open Access

UAV and field hyperspectral imaging for Sphagnum discrimination and vegetation modelling in Finnish aapa mires
Franziska Wolff, Sandra Lorenz, Pasi Korpelainen, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 134, pp. 104201-104201
Open Access

Mapping indicator species of segetal flora for result-based payments in arable land using UAV imagery and deep learning
Caterina Barrasso, Robert Krüger, Anette Eltner, et al.
Ecological Indicators (2024) Vol. 169, pp. 112780-112780
Open Access

Monitoring changes in boreal peatland vegetation after restoration with optical satellite imagery
Aleksi Isoaho, Merja Elo, Hannu Marttila, et al.
The Science of The Total Environment (2024) Vol. 957, pp. 177697-177697
Open Access

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