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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:

High‐resolution remote sensing data improves models of species richness
Linda Camathias, Ariel Bergamini, Meinrad Küchler, et al.
Applied Vegetation Science (2013) Vol. 16, Iss. 4, pp. 539-551
Closed Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Biodiversity hotspots: A shortcut for a more complicated concept
Christian Marchese
Global Ecology and Conservation (2014) Vol. 3, pp. 297-309
Open Access | Times Cited: 458
Overcoming limitations of modelling rare species by using ensembles of small models
Frank T. Breiner, Antoine Guisan, Ariel Bergamini, et al.
Methods in Ecology and Evolution (2015) Vol. 6, Iss. 10, pp. 1210-1218
Open Access | Times Cited: 445
Comparing Generalized Linear Models and random forest to model vascular plant species richness using LiDAR data in a natural forest in central Chile
Javier Lopatin, Klara Dološ, Héctor J. Hernández, et al.
Remote Sensing of Environment (2015) Vol. 173, pp. 200-210
Closed Access | Times Cited: 154
Countrywide Stereo-Image Matching for Updating Digital Surface Models in the Framework of the Swiss National Forest Inventory
Christian Ginzler, Martina L. Hobi
Remote Sensing (2015) Vol. 7, Iss. 4, pp. 4343-4370
Open Access | Times Cited: 136
Remotely sensed forest structural complexity predicts multi species occurrence at the landscape scale
Florian Zellweger, Veronika Braunisch, Andri Baltensweiler, et al.
Forest Ecology and Management (2013) Vol. 307, pp. 303-312
Open Access | Times Cited: 121
Very high resolution environmental predictors in species distribution models
Jean‐Nicolas Pradervand, Anne Dubuis, Loïc Pellissier, et al.
Progress in Physical Geography Earth and Environment (2013) Vol. 38, Iss. 1, pp. 79-96
Closed Access | Times Cited: 118
The spectral variability hypothesis does not hold across landscapes
Sebastian Schmidtlein, Fabian Ewald Fassnacht
Remote Sensing of Environment (2017) Vol. 192, pp. 114-125
Open Access | Times Cited: 92
Remote Sensing of Ecosystem Health: Opportunities, Challenges, and Future Perspectives
Zhaoqin Li, Dandan Xu, Xulin Guo
Sensors (2014) Vol. 14, Iss. 11, pp. 21117-21139
Open Access | Times Cited: 79
Disentangling the effects of climate, topography, soil and vegetation on stand-scale species richness in temperate forests
Florian Zellweger, Veronika Braunisch, Felix Morsdorf, et al.
Forest Ecology and Management (2015) Vol. 349, pp. 36-44
Closed Access | Times Cited: 67
Machine learning based soil maps for a wide range of soil properties for the forested area of Switzerland
Andri Baltensweiler, Lorenz Walthert, Marc Hanewinkel, et al.
Geoderma Regional (2021) Vol. 27, pp. e00437-e00437
Open Access | Times Cited: 50
Can high-resolution topography and forest canopy structure substitute microclimate measurements? Bryophytes say no
Matěj Man, Jan Wild, Martin Macek, et al.
The Science of The Total Environment (2022) Vol. 821, pp. 153377-153377
Closed Access | Times Cited: 30
Forest structure as a predictor of tree species diversity in the North Carolina Piedmont
Christopher R. Hakkenberg, Conghe Song, Robert K. Peet, et al.
Journal of Vegetation Science (2016) Vol. 27, Iss. 6, pp. 1151-1163
Closed Access | Times Cited: 52
Light detection and ranging explains diversity of plants, fungi, lichens, and bryophytes across multiple habitats and large geographic extent
Jesper Erenskjold Moeslund, András Zlinszky, Rasmus Ejrnæs, et al.
Ecological Applications (2019) Vol. 29, Iss. 5
Open Access | Times Cited: 50
Using Species Distribution Models For Fungi
Tianxiao Hao, Gurutzeta Guillera‐Arroita, Tom W. May, et al.
Fungal Biology Reviews (2020) Vol. 34, Iss. 2, pp. 74-88
Closed Access | Times Cited: 50
Terrestrial laser scanning improves digital elevation models and topsoil pH modelling in regions with complex topography and dense vegetation
Andri Baltensweiler, Lorenz Walthert, Christian Ginzler, et al.
Environmental Modelling & Software (2017) Vol. 95, pp. 13-21
Open Access | Times Cited: 44
Estimating below‐canopy light regimes using airborne laser scanning: An application to plant community analysis
Florian Zellweger, Andri Baltensweiler, Patrick Schleppi, et al.
Ecology and Evolution (2019) Vol. 9, Iss. 16, pp. 9149-9159
Open Access | Times Cited: 39
Microtopography shapes soil pH in flysch regions across Switzerland
Andri Baltensweiler, G.B.M. Heuvelink, Marc Hanewinkel, et al.
Geoderma (2020) Vol. 380, pp. 114663-114663
Open Access | Times Cited: 33
Comparison of Airborne LiDAR and Satellite Hyperspectral Remote Sensing to Estimate Vascular Plant Richness in Deciduous Mediterranean Forests of Central Chile
Andrés Ceballos, Jaime Hernández, Patricio Corvalán, et al.
Remote Sensing (2015) Vol. 7, Iss. 3, pp. 2692-2714
Open Access | Times Cited: 38
Forest-structure data improve distribution models of threatened habitat specialists: Implications for conservation of epiphytic lichens in forest landscapes
Lyudmyla Dymytrova, Silvia Stofer, Christian Ginzler, et al.
Biological Conservation (2016) Vol. 196, pp. 31-38
Closed Access | Times Cited: 29
The Role of Remote Sensing Data in Habitat Suitability and Connectivity Modeling: Insights from the Cantabrian Brown Bear
Pablo Cisneros-Araújo, Teresa Goicolea, María C. Mateo‐Sánchez, et al.
Remote Sensing (2021) Vol. 13, Iss. 6, pp. 1138-1138
Open Access | Times Cited: 22
Mapping Potential Plant Species Richness over Large Areas with Deep Learning, MODIS, and Species Distribution Models
Hyeyeong Choe, Junhwa Chi, James H. Thorne
Remote Sensing (2021) Vol. 13, Iss. 13, pp. 2490-2490
Open Access | Times Cited: 22
Hyperspectral modeling of ecological indicators – A new approach for monitoring former military training areas
Laura Luft, Carsten Neumann, Matthias Freude, et al.
Ecological Indicators (2014) Vol. 46, pp. 264-285
Closed Access | Times Cited: 28
LiDAR data as a proxy for light availability improve distribution modelling of woody species
Rafael O. Wüest, Ariel Bergamini, Kurt Bollmann, et al.
Forest Ecology and Management (2019) Vol. 456, pp. 117644-117644
Open Access | Times Cited: 24
Selection in the third dimension: Using LiDAR derived canopy metrics to assess individual and population‐level habitat partitioning of ocelots, bobcats, and coyotes
Maksim Sergeyev, Daniel A. Crawford, Joseph D. Holbrook, et al.
Remote Sensing in Ecology and Conservation (2023) Vol. 10, Iss. 2, pp. 264-278
Open Access | Times Cited: 8
Estimating lichen α- and β-diversity using satellite data at different spatial resolutions
Carlos Cerrejón, Osvaldo Valeria, Nicole J. Fenton
Ecological Indicators (2023) Vol. 149, pp. 110173-110173
Open Access | Times Cited: 5
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