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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:

Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions
Mauro Fois, Alba Cuena‐Lombraña, Giuseppe Fenu, et al.
Ecological Modelling (2018) Vol. 385, pp. 124-132
Open Access | Times Cited: 240

Showing 1-25 of 240 citing articles:

A comparison between Ensemble and MaxEnt species distribution modelling approaches for conservation: A case study with Egyptian medicinal plants
Emad Kaky, Victoria Nolan, Abdulaziz S. Alatawi, et al.
Ecological Informatics (2020) Vol. 60, pp. 101150-101150
Closed Access | Times Cited: 320
Using MaxEnt modeling to predict the potential distribution of the endemic plant Rosa arabica Crép. in Egypt
Mohamed Abdelaal, Mauro Fois, Giuseppe Fenu, et al.
Ecological Informatics (2019) Vol. 50, pp. 68-75
Closed Access | Times Cited: 233
Species distribution models rarely predict the biology of real populations
Julie A. Lee‐Yaw, Jenny L. McCune, Samuel Pironon, et al.
Ecography (2021) Vol. 2022, Iss. 6
Open Access | Times Cited: 209
Biodiversity–productivity relationships are key to nature-based climate solutions
Akira Mori, Laura E. Dee, Andrew Gonzalez, et al.
Nature Climate Change (2021) Vol. 11, Iss. 6, pp. 543-550
Open Access | Times Cited: 140
MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia
Arshad Mahmood Khan, Qingting Li, Zafeer Saqib, et al.
Forests (2022) Vol. 13, Iss. 5, pp. 715-715
Open Access | Times Cited: 136
Trends and gaps in the use of citizen science derived data as input for species distribution models: A quantitative review
Mariano J. Feldman, Louis Imbeau, Philippe Marchand, et al.
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0234587-e0234587
Open Access | Times Cited: 119
Comparing the performance of global, geographically weighted and ecologically weighted species distribution models for Scottish wildcats using GLM and Random Forest predictive modeling
Samuel A. Cushman, Kerry Kilshaw, Richard D. Campbell, et al.
Ecological Modelling (2024) Vol. 492, pp. 110691-110691
Open Access | Times Cited: 17
Modelling risks posed by wind turbines and power lines to soaring birds: the black stork (Ciconia nigra) in Italy as a case study
Sonia Smeraldo, Luciano Bosso, Maurizio Fraissinet, et al.
Biodiversity and Conservation (2020) Vol. 29, Iss. 6, pp. 1959-1976
Closed Access | Times Cited: 87
Predicting current and future distributions of Mentha pulegium L. in Tunisia under climate change conditions, using the MaxEnt model
Zayneb Soilhi, Najla Sayari, Nadia Benalouache, et al.
Ecological Informatics (2021) Vol. 68, pp. 101533-101533
Closed Access | Times Cited: 62
Forest tree species distribution for Europe 2000–2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
PeerJ (2022) Vol. 10, pp. e13728-e13728
Open Access | Times Cited: 59
Too many candidates: Embedded covariate selection procedure for species distribution modelling with the covsel R package
Antoine Adde, Pierre‐Louis Rey, Fabian Fopp, et al.
Ecological Informatics (2023) Vol. 75, pp. 102080-102080
Open Access | Times Cited: 39
Optimising occurrence data in species distribution models: sample size, positional uncertainty, and sampling bias matter
Vítězslav Moudrý, Manuele Bazzichetto, Ruben Remelgado, et al.
Ecography (2024)
Open Access | Times Cited: 13
The influence of climate change on the future distribution of two Thymus species in Iran: MaxEnt model-based prediction
Nasser Hosseini, Mansour Ghorbanpour, Hossein Mostafavi
BMC Plant Biology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 10
Confidence and consistency in discrimination: A new family of evaluation metrics for potential distribution models
Imelda Somodi, Ákos Bede‐Fazekas, Zoltán Botta‐Dukát, et al.
Ecological Modelling (2024) Vol. 491, pp. 110667-110667
Open Access | Times Cited: 9
Ecological modeling of climate change effects on priority species of the Liliaceae family in Iran
Sh. Nazemi Ardakani, Razieh Rahimi, Ahmad Reza Mehrabian, et al.
International Journal of Environmental Science and Technology (2025)
Closed Access | Times Cited: 1
Bush encroachment with climate change in protected and communal areas: A species distribution modelling approach
Thabang Maphanga, Cletah Shoko, Mbulisi Sibanda, et al.
Ecological Modelling (2025) Vol. 503, pp. 111056-111056
Open Access | Times Cited: 1
A complete inventory of North American butterfly occurrence data: narrowing data gaps, but increasing bias
Vaughn Shirey, Michael W. Belitz, Vijay Barve, et al.
Ecography (2021) Vol. 44, Iss. 4, pp. 537-547
Open Access | Times Cited: 50
Predicting the Global Distribution of Solenopsis geminata (Hymenoptera: Formicidae) under Climate Change Using the MaxEnt Model
Cheol Min Lee, Dae‐Seong Lee, Tae‐Sung Kwon, et al.
Insects (2021) Vol. 12, Iss. 3, pp. 229-229
Open Access | Times Cited: 46
Using species distribution models and decision tools to direct surveys and identify potential translocation sites for a critically endangered species
Arabella C. Eyre, Natalie J. Briscoe, Dan Harley, et al.
Diversity and Distributions (2022) Vol. 28, Iss. 4, pp. 700-711
Closed Access | Times Cited: 34
Assessment of suitable habitat of mangrove species for prioritizing restoration in coastal ecosystem of Sundarban Biosphere Reserve, India
Mehebub Sahana, G. Areendran, Haroon Sajjad
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
ENphylo: A new method to model the distribution of extremely rare species
Alessandro Mondanaro, Mirko Di Febbraro, Silvia Castiglione, et al.
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 3, pp. 911-922
Open Access | Times Cited: 20
Deciding where to put them: Sensitivity tests and independent evaluation are critical when using species distribution models to inform conservation translocations
Kaegan J. Finn, Jayna C. Bergman, Julie A. Lee‐Yaw
Journal of Applied Ecology (2024) Vol. 61, Iss. 4, pp. 713-732
Open Access | Times Cited: 8
Cryptic species conservation: a review
Daniel Hending
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2024)
Open Access | Times Cited: 8
Climate Change Responses of High-Elevation Polylepis Forests
Larry E. Bedoya-Canas, Felipe López-Hernández, Andrés J. Cortés
Forests (2024) Vol. 15, Iss. 5, pp. 811-811
Open Access | Times Cited: 7
Habitat suitability and connectivity for the brown bear (Ursus arctos) along the Iran-Iraq border
Kamran Almasieh, Haydar Rouhi, Shahram Kaboodvandpour
European Journal of Wildlife Research (2019) Vol. 65, Iss. 4
Closed Access | Times Cited: 48
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