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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:

Will remote sensing shape the next generation of species distribution models?
Kate S. He, Bethany A. Bradley, Anna F. Cord, et al.
Remote Sensing in Ecology and Conservation (2015) Vol. 1, Iss. 1, pp. 4-18
Open Access | Times Cited: 304

Showing 1-25 of 304 citing articles:

Invasive alien plant species: Their impact on environment, ecosystem services and human health
Prabhat Kumar, Jyoti Singh
Ecological Indicators (2020) Vol. 111, pp. 106020-106020
Open Access | Times Cited: 423
Essential biodiversity variables for mapping and monitoring species populations
Walter Jetz, Mélodie A. McGeoch, Robert Guralnick, et al.
Nature Ecology & Evolution (2019) Vol. 3, Iss. 4, pp. 539-551
Open Access | Times Cited: 410
A survival guide to Landsat preprocessing
Nicholas E. Young, Ryan Anderson, Stephen M. Chignell, et al.
Ecology (2017) Vol. 98, Iss. 4, pp. 920-932
Open Access | Times Cited: 389
Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling
Neftalí Sillero, Salvador Arenas‐Castro, Urtzi Enriquez‐Urzelai, et al.
Ecological Modelling (2021) Vol. 456, pp. 109671-109671
Closed Access | Times Cited: 301
Monitoring biodiversity in the Anthropocene using remote sensing in species distribution models
Christophe F. Randin, Michael B. Ashcroft, Janine Bolliger, et al.
Remote Sensing of Environment (2020) Vol. 239, pp. 111626-111626
Open Access | Times Cited: 223
What we use is not what we know: environmental predictors in plant distribution models
Heidi K. Mod, Daniel Scherrer, Miska Luoto, et al.
Journal of Vegetation Science (2016) Vol. 27, Iss. 6, pp. 1308-1322
Open Access | Times Cited: 207
Understanding Forest Health with Remote Sensing -Part I—A Review of Spectral Traits, Processes and Remote-Sensing Characteristics
Angela Lausch, Stefan Erasmi, Douglas J. King, et al.
Remote Sensing (2016) Vol. 8, Iss. 12, pp. 1029-1029
Open Access | Times Cited: 185
Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images
Fabien Wagner, Alber Sánchez, Yuliya Tarabalka, et al.
Remote Sensing in Ecology and Conservation (2019) Vol. 5, Iss. 4, pp. 360-375
Open Access | Times Cited: 185
How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring
Petteri Vihervaara, Ari-Pekka Auvinen, Laura Mononen, et al.
Global Ecology and Conservation (2017) Vol. 10, pp. 43-59
Open Access | Times Cited: 172
An overview of the history, current contributions and future outlook of iNaturalist in Australia
Thomas Mesaglio, Corey T. Callaghan
Wildlife Research (2021) Vol. 48, Iss. 4, pp. 289-303
Open Access | Times Cited: 111
Species distribution modelling supports the study of past, present and future biogeographies
Janet Franklin
Journal of Biogeography (2023) Vol. 50, Iss. 9, pp. 1533-1545
Open Access | Times Cited: 73
Satellite remote sensing to monitor species diversity: potential and pitfalls
Duccio Rocchini, Doreen S. Boyd, Jean‐Baptiste Féret, et al.
Remote Sensing in Ecology and Conservation (2015) Vol. 2, Iss. 1, pp. 25-36
Open Access | Times Cited: 169
Linking Earth Observation and taxonomic, structural and functional biodiversity: Local to ecosystem perspectives
Angela Lausch, Lutz Bannehr, Michael Beckmann, et al.
Ecological Indicators (2016) Vol. 70, pp. 317-339
Open Access | Times Cited: 160
Building capacity in biodiversity monitoring at the global scale
Dirk S. Schmeller, Monika Böhm, Christos Arvanitidis, et al.
Biodiversity and Conservation (2017) Vol. 26, Iss. 12, pp. 2765-2790
Closed Access | Times Cited: 148
Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data
Camile Sothe, Cláudia Maria de Almeida, Marcos Benedito Schimalski, et al.
GIScience & Remote Sensing (2020) Vol. 57, Iss. 3, pp. 369-394
Closed Access | Times Cited: 139
The Role of Vegetated Coastal Wetlands for Marine Megafauna Conservation
Michael Sievers, Christopher J. Brown, Vivitskaia Tulloch, et al.
Trends in Ecology & Evolution (2019) Vol. 34, Iss. 9, pp. 807-817
Open Access | Times Cited: 135
Individual tree crown delineation in a highly diverse tropical forest using very high resolution satellite images
Fabien Wagner, Matheus Pinheiro Ferreira, Alber Sánchez, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2018) Vol. 145, pp. 362-377
Open Access | Times Cited: 130
Priorities to Advance Monitoring of Ecosystem Services Using Earth Observation
Anna F. Cord, Kate A. Brauman, Rebecca Chaplin‐Kramer, et al.
Trends in Ecology & Evolution (2017) Vol. 32, Iss. 6, pp. 416-428
Open Access | Times Cited: 125
Evolutionary algorithms for species distribution modelling: A review in the context of machine learning
Sacha Gobeyn, Ans Mouton, Anna F. Cord, et al.
Ecological Modelling (2018) Vol. 392, pp. 179-195
Closed Access | Times Cited: 121
Monthly microclimate models in a managed boreal forest landscape
Caroline Greiser, Éric Meineri, Miska Luoto, et al.
Agricultural and Forest Meteorology (2017) Vol. 250-251, pp. 147-158
Open Access | Times Cited: 117
Species distribution modeling: a statistical review with focus in spatio-temporal issues
Joaquín Martínez‐Minaya, Michela Cameletti, David Conesa, et al.
Stochastic Environmental Research and Risk Assessment (2018) Vol. 32, Iss. 11, pp. 3227-3244
Closed Access | Times Cited: 107
Avian SDMs: current state, challenges, and opportunities
Jan O. Engler, Darius Stiels, Kathrin Schidelko, et al.
Journal of Avian Biology (2017) Vol. 48, Iss. 12, pp. 1483-1504
Open Access | Times Cited: 106
Three Frontiers for the Future of Biodiversity Research Using Citizen Science Data
Corey T. Callaghan, Alistair G. B. Poore, Thomas Mesaglio, et al.
BioScience (2020)
Open Access | Times Cited: 99
Performances of machine learning algorithms for mapping fractional cover of an invasive plant species in a dryland ecosystem
Hailu Shiferaw, Woldeamlak Bewket, Sandra Eckert
Ecology and Evolution (2019) Vol. 9, Iss. 5, pp. 2562-2574
Open Access | Times Cited: 97
Effects of species traits and environmental predictors on performance and transferability of ecological niche models
Adrián Regos, Laura Gagne, Domingo Alcaraz‐Segura, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 97
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