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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:

Leveraging NAIP Imagery for Accurate Large-Area Land Use/land Cover Mapping: A Case Study in Central Texas
Mukti Ram Subedi, Carlos Portillo‐Quintero, Samantha S. Kahl, et al.
Photogrammetric Engineering & Remote Sensing (2023) Vol. 89, Iss. 9, pp. 547-560
Closed Access | Times Cited: 10

Showing 10 citing articles:

Combining Multitemporal Optical and Radar Satellite Data for Mapping the Tatra Mountains Non-Forest Plant Communities
Marcin Kluczek, Bogdan Zagajewski, Marlena Kycko
Remote Sensing (2024) Vol. 16, Iss. 8, pp. 1451-1451
Open Access | Times Cited: 7
Weakly supervised land-cover classification of high-resolution images with low-resolution labels through optimized label refinement
Yang Tang, Guixiang Zhang, Jung Kuan Liu, et al.
International Journal of Remote Sensing (2025), pp. 1-25
Open Access
Incorporating environmental data to refine the classification and understanding of the mechanisms behind encroachment of a woody species in the Southern Great Plains (USA)
Justin Dawsey, Nancy E. McIntyre
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 136, pp. 104362-104362
Closed Access
A Comparative Study of Deep Learning Methods for Automated Road Network Extraction from High-Spatial-Resolution Remotely Sensed Imagery
Haochen Zhou, Hongjie He, Linlin Xu, et al.
Photogrammetric Engineering & Remote Sensing (2025) Vol. 91, Iss. 3, pp. 163-174
Closed Access
Semi-Automatic Stand Delineation Based on Very-High-Resolution Orthophotographs and Topographic Features: A Case Study from a Structurally Complex Natural Forest in the Southern USA
Can Vatandaşlar, Pete Bettinger, Krista Merry, et al.
Forests (2025) Vol. 16, Iss. 4, pp. 666-666
Open Access
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
Ensemble Machine Learning on Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use Land Cover Mapping
Mukti Ram Subedi, Carlos Portillo‐Quintero, Nancy E. McIntyre, et al.
(2024)
Open Access | Times Cited: 1
Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping
Mukti Ram Subedi, Carlos Portillo‐Quintero, Nancy E. McIntyre, et al.
Remote Sensing (2024) Vol. 16, Iss. 15, pp. 2778-2778
Open Access | Times Cited: 1
Developing a New Method to Rapidly Map Eucalyptus Distribution in Subtropical Regions Using Sentinel-2 Imagery
C. J. Tang, Xiandie Jiang, Guiying Li, et al.
Forests (2024) Vol. 15, Iss. 10, pp. 1799-1799
Open Access | Times Cited: 1
Modeling regional forest site productivity accounting spatial structure in climatic and edaphic variables
Mukti Ram Subedi, Andrés Baeza, Puneet Dwivedi, et al.
Forest Ecology and Management (2024) Vol. 574, pp. 122360-122360
Closed Access
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