Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Testing temporal transferability of remote sensing models for large area monitoring
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, et al.
Science of Remote Sensing (2024) Vol. 9, pp. 100119-100119
Open Access | Times Cited: 9

Showing 9 citing articles:

Using Landsat time-series to investigate nearly 50 years of tree canopy cover change across an urban-rural landscape in southern Ontario
Mitchell T. Bonney, Yuhong He
Canadian Journal of Remote Sensing (2025) Vol. 51, Iss. 1
Open Access
UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape
Ryan C. Blackburn, Ginger Allington, Nicole Motzer, et al.
Landscape Ecology (2025) Vol. 40, Iss. 3
Open Access
From satellite-based phenological metrics to crop planting dates: Deriving field-level planting dates for corn and soybean in the U.S. Midwest
Qu Zhou, Kaiyu Guan, Sheng Wang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2024) Vol. 216, pp. 259-273
Closed Access | Times Cited: 4
Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane
Marcelo Rodrigues Barbosa Júnior, Bruno Rafael de Almeida Moreira, Dulis Duron, et al.
Industrial Crops and Products (2024) Vol. 215, pp. 118627-118627
Closed Access | Times Cited: 3
A Comprehensive Approach Towards Enhancing Land Use Land Cover Classification Through Machine Learning and Object-Based Image Analysis
Dhiroj Kumar Behera, G. S. Pujar, Rajiv Kumar, et al.
Journal of the Indian Society of Remote Sensing (2024) Vol. 53, Iss. 3, pp. 731-749
Closed Access | Times Cited: 2
Comparison between machine learning classification and trajectory-based change detection for identifying eucalyptus areas in Landsat time series
Debora Da Paz Gomes Brandão Ferraz, Raúl Sánchez Vicens
Remote Sensing Applications Society and Environment (2024) Vol. 37, pp. 101444-101444
Closed Access | Times Cited: 2
Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions
Alejandra Bravo-Diaz, Sebastián Moreno, Javier Lopatin
Ecological Informatics (2024) Vol. 82, pp. 102684-102684
Open Access | Times Cited: 1
Hindcasting and updating Landsat-based forest structure mapping across years to support forest management and planning
David M. Bell, Matthew J. Gregory, Zhiqiang Yang
Forest Ecology and Management (2024) Vol. 572, pp. 122239-122239
Closed Access | Times Cited: 1
Tree canopy cover in the Great Lakes region, 1985-2019
Steven K. Filippelli, Karen Schleeweis, Mark D. Nelson, et al.
Forest Service Research Data Archive (2023)
Closed Access
Page 1

Scroll to top