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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:

Classifying grass-dominated habitats from remotely sensed data: The influence of spectral resolution, acquisition time and the vegetation classification system on accuracy and thematic resolution
Ute Bradter, Jerome O’Connell, William E. Kunin, et al.
The Science of The Total Environment (2019) Vol. 711, pp. 134584-134584
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Hyperspectral Image Clustering: Current achievements and future lines
Han Zhai, Hongyan Zhang, Pingxiang Li, et al.
IEEE Geoscience and Remote Sensing Magazine (2021) Vol. 9, Iss. 4, pp. 35-67
Closed Access | Times Cited: 68
The Application of Hyperspectral Remote Sensing Imagery (HRSI) for Weed Detection Analysis in Rice Fields: A Review
Nursyazyla Sulaiman, Nik Norasma Che’Ya, Muhammad Huzaifah Mohd Roslim, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2570-2570
Open Access | Times Cited: 31
Monitoring wetland plant diversity from space: Progress and perspective
Weiwei Sun, Daosheng Chen, Zhouyuan Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 130, pp. 103943-103943
Open Access | Times Cited: 8
Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping
Marcin Kluczek, Bogdan Zagajewski, Marlena Kycko
Remote Sensing (2022) Vol. 14, Iss. 5, pp. 1209-1209
Open Access | Times Cited: 25
Improving grassland classification accuracy using optimal spectral-phenological-topographic features in combination with machine learning algorithm
Huilin Yu, Lin Zhu, Yun Chen, et al.
Ecological Indicators (2023) Vol. 158, pp. 111392-111392
Open Access | Times Cited: 10
An in situ hyperspectral dataset for typical aquatic vegetation
Yan Fang, Liqiao Tian, Jing Xia, et al.
Geo-spatial Information Science (2025), pp. 1-38
Open Access
Fine Classification of Vegetation Under Complex Surface Cover Conditions with Hyperspectral and High-Spatial Resolution: A Case Study of the Xisha Area, Chongming District, Shanghai
B. Zheng, Yishao Shi, Qian Wang, et al.
Journal of the Indian Society of Remote Sensing (2025)
Open Access
A global systematic review of the remote sensing vegetation indices
Kai Yan, Si Gao, Guangjian Yan, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 139, pp. 104560-104560
Open Access
Use of remote sensing to track postindustrial vegetation development
Gabriela Woźniak, Marcin K. Dyderski, Agnieszka Kompała‐Bąba, et al.
Land Degradation and Development (2020) Vol. 32, Iss. 3, pp. 1426-1439
Closed Access | Times Cited: 24
Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European tundra
Lucie Kupková, Lucie Červená, Markéta Potůčková, et al.
Remote Sensing of Environment (2023) Vol. 294, pp. 113645-113645
Closed Access | Times Cited: 9
A Multi-Stage Approach Combining Very High-Resolution Satellite Image, GIS Database and Post-Classification Modification Rules for Habitat Mapping in Hong Kong
Ivan H. Y. Kwong, Frankie Kwan Kit Wong, Tung Fung, et al.
Remote Sensing (2021) Vol. 14, Iss. 1, pp. 67-67
Open Access | Times Cited: 19
Land cover classification of treeline ecotones along a 1100 km latitudinal transect using spectral‐ and three‐dimensional information from UAV‐based aerial imagery
Ida Marielle Mienna, Kari Klanderud, Hans Ole Ørka, et al.
Remote Sensing in Ecology and Conservation (2022) Vol. 8, Iss. 4, pp. 536-550
Open Access | Times Cited: 14
Mapping Opuntia stricta in the Arid and Semi-Arid Environment of Kenya Using Sentinel-2 Imagery and Ensemble Machine Learning Classifiers
James M. Muthoka, Edward E. Salakpi, Edward Ouko, et al.
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1494-1494
Open Access | Times Cited: 17
Analysis of Vegetation Canopy Spectral Features and Species Discrimination in Reclamation Mining Area Using In Situ Hyperspectral Data
Xu Wang, Hang Xu, Jianwei Zhou, et al.
Remote Sensing (2024) Vol. 16, Iss. 13, pp. 2372-2372
Open Access | Times Cited: 2
One-Class Classification of Natural Vegetation Using Remote Sensing: A Review
Sébastien Rapinel, Laurence Hubert‐Moy
Remote Sensing (2021) Vol. 13, Iss. 10, pp. 1892-1892
Open Access | Times Cited: 16
Mapping nectar-rich pollinator floral resources using airborne multispectral imagery
Sarah L. Barnsley, AA Lovett, Lynn V. Dicks
Journal of Environmental Management (2022) Vol. 313, pp. 114942-114942
Open Access | Times Cited: 9
Detecting peatland vegetation patterns with multi-temporal field spectroscopy
Yuwen Pang, Aleksi Räsänen, Viivi Lindholm, et al.
GIScience & Remote Sensing (2022) Vol. 59, Iss. 1, pp. 2111-2126
Open Access | Times Cited: 9
Low-Cost Dispersive Hyperspectral Sampling Scanner for Agricultural Imaging Spectrometry
Or Arad, Loran Cheplanov, Yiftah Afgin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 16, pp. 18292-18303
Closed Access | Times Cited: 5
Variable ranking and selection with random forest for unbalanced data
Ute Bradter, John D. Altringham, William E. Kunin, et al.
Environmental Data Science (2022) Vol. 1
Open Access | Times Cited: 7
Effect of Bit Depth on Cloud Segmentation of Remote-Sensing Images
Lingcen Liao, Wei Liu, Shibin Liu
Remote Sensing (2023) Vol. 15, Iss. 10, pp. 2548-2548
Open Access | Times Cited: 3
Estimation of fine-scale vegetation distribution information from RPAS-generated imagery and structure to aid restoration monitoring
Rik J. G. Nuijten, Nicholas C. Coops, Dustin Theberge, et al.
Science of Remote Sensing (2023) Vol. 9, pp. 100114-100114
Open Access | Times Cited: 3
Pemanfaatan Drone dalam Pemetaan Kontur Tanah
Andrew Stefano Andrew
Buletin Loupe (2020) Vol. 16, Iss. 02, pp. 32-41
Open Access | Times Cited: 7
Deep Convolutional Asymmetric Autoencoder-Based Spatial-Spectral Clustering Network for Hyperspectral Image
Baisen Liu, Weili Kong, Yan Wang
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 5
Improved understanding of vegetation dynamics and wetland ecohydrology via monthly UAV‐based classification
Songjun Wu, Doerthe Tetzlaff, Hauke Daempfling, et al.
Hydrological Processes (2023) Vol. 37, Iss. 9
Open Access | Times Cited: 2
Linking High-Resolution UAV-Based Remote Sensing Data to Long-Term Vegetation Sampling—A Novel Workflow to Study Slow Ecotone Dynamics
Fabian Döweler, Johan E. S. Fransson, Martin Karl‐Friedrich Bader
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 840-840
Open Access
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