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:

Improving country-wide individual tree detection using local maxima methods based on statistically modeled forest structure information
Christoph Schaller, Christian Ginzler, E. Emiel van Loon, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 123, pp. 103480-103480
Open Access | Times Cited: 9

Showing 9 citing articles:

Predicting the thickness of shallow landslides in Switzerland using machine learning
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, et al.
Natural hazards and earth system sciences (2025) Vol. 25, Iss. 2, pp. 467-491
Open Access | Times Cited: 1

Concepts Towards Nation-Wide Individual Tree Data and Virtual Forests
Matti Hyyppä, Tuomas Turppa, Heikki Hyyti, et al.
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 12, pp. 424-424
Open Access | Times Cited: 2

Integration of field measurements with unmanned aerial vehicle to predict forest inventory metrics at tree and stand scales in natural pure Crimean pine forests
Sinan Bulut, Alkan Günlü, Hasan Aksoy, et al.
International Journal of Remote Sensing (2024) Vol. 45, Iss. 12, pp. 3846-3870
Closed Access | Times Cited: 1

Comment on nhess-2024-76
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, et al.
(2024)
Open Access

Comment on nhess-2024-76
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, et al.
(2024)
Open Access

Individual tree detection and spatial distribution analysis without reference data
Zsolt Tóth, Péter Farkas, Adrienn Novotni
Dimenziók matematikai közlemények (2024) Vol. 12, pp. 33-41
Open Access

Predicting the thickness of shallow landslides in Switzerland using machine learning
Christoph Schaller, Luuk Dorren, Massimiliano Schwarz, et al.
(2024)
Open Access

Reply on RC1
Christoph Schaller
(2024)
Open Access

Individual Tree Crown Extraction from High Resolution Image Based on a Threshold-Improved Watershed Algorithm
Ziyi Wang, Hao Tang
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (2024) Vol. 1992, pp. 9521-9524
Closed Access

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