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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:

Development and Delivery of Species Distribution Models to Inform Decision-Making
Helen R. Sofaer, Catherine S. Jarnevich, Ian S. Pearse, et al.
BioScience (2019) Vol. 69, Iss. 7, pp. 544-557
Open Access | Times Cited: 264

Showing 1-25 of 264 citing articles:

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: 296
Common mistakes in ecological niche models
Neftalí Sillero, A. Márcia Barbosa
International Journal of Geographical Information Science (2020) Vol. 35, Iss. 2, pp. 213-226
Closed Access | Times Cited: 272
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: 202
Machine learning and deep learning—A review for ecologists
Maximilian Pichler, Florian Härtig
Methods in Ecology and Evolution (2023) Vol. 14, Iss. 4, pp. 994-1016
Open Access | Times Cited: 196
Bat responses to climate change: a systematic review
Francesca Festa, Leonardo Ancillotto, Luca Santini, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2022) Vol. 98, Iss. 1, pp. 19-33
Open Access | Times Cited: 76
wallace 2: a shiny app for modeling species niches and distributions redesigned to facilitate expansion via module contributions
Jamie M. Kass, Gonzalo E. Pinilla‐Buitrago, Andrea Paz, et al.
Ecography (2023) Vol. 2023, Iss. 3
Open Access | Times Cited: 63
Top ten hazards to avoid when modeling species distributions: a didactic guide of assumptions, problems, and recommendations
Mariano Soley‐Guardia, Diego F. Alvarado‐Serrano, Robert P. Anderson
Ecography (2024) Vol. 2024, Iss. 4
Open Access | Times Cited: 37
Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models
Orin J. Robinson, Viviana Ruiz‐Gutiérrez, Mark Reynolds, et al.
Diversity and Distributions (2020) Vol. 26, Iss. 8, pp. 976-986
Open Access | Times Cited: 102
A Metacommunity Approach to Improve Biological Assessments in Highly Dynamic Freshwater Ecosystems
Núria Cid, Núria Bonada, Jani Heino, et al.
BioScience (2020) Vol. 70, Iss. 5, pp. 427-438
Open Access | Times Cited: 73
Increasing taxonomic diversity and spatial resolution clarifies opportunities for protecting US imperiled species
Healy Hamilton, Regan Smyth, Bruce E. Young, et al.
Ecological Applications (2022) Vol. 32, Iss. 3
Open Access | Times Cited: 53
Accounting for niche truncation to improve spatial and temporal predictions of species distributions
Mathieu Chevalier, Alejandra Zarzo‐Arias, Jérôme Guélat, et al.
Frontiers in Ecology and Evolution (2022) Vol. 10
Open Access | Times Cited: 47
Predicting extinctions with species distribution models
Damaris Zurell, Susanne A. Fritz, Anna Rönnfeldt, et al.
Cambridge Prisms Extinction (2023) Vol. 1
Open Access | Times Cited: 28
Prioritizing management actions for invasive non-native plants through expert-based knowledge and species distribution models
Vanessa Lozano, Flavio Marzialetti, Alicia Teresa Rosario Acosta, et al.
Ecological Indicators (2024) Vol. 166, pp. 112279-112279
Open Access | Times Cited: 10
A modeling framework for biodiversity assessment in renewable energy development: A case study on European bats and wind turbines
Jérémy S. P. Froidevaux, Isabelle Le Viol, Kévin Barré, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 211, pp. 115323-115323
Open Access | Times Cited: 1
Forecasting hotspots of climatic suitability for grassland restoration under climate change in North America
Santosh Kumar Rana, Jessica Lindstrom, Melissa A. Lehrer, et al.
Biological Conservation (2025) Vol. 302, pp. 110988-110988
Closed Access | Times Cited: 1
Overprediction of species distribution models in conservation planning: A still neglected issue with strong effects
Santiago José Elías Velazco, Bruno R. Ribeiro, Livia Maira Orlandi Laureto, et al.
Biological Conservation (2020) Vol. 252, pp. 108822-108822
Closed Access | Times Cited: 67
Keys to enhancing the value of invasion ecology research for management
Jennifer L. Funk, Ingrid M. Parker, Virginia Matzek, et al.
Biological Invasions (2020) Vol. 22, Iss. 8, pp. 2431-2445
Closed Access | Times Cited: 56
Improving prediction of rare species’ distribution from community data
Chongliang Zhang, Yong Chen, Binduo Xu, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 52
Shifts in bird ranges and conservation priorities in China under climate change
Ruocheng Hu, Yiyun Gu, Mei Luo, et al.
PLoS ONE (2020) Vol. 15, Iss. 10, pp. e0240225-e0240225
Open Access | Times Cited: 51
A machine learning algorithm-based approach (MaxEnt) for predicting invasive potential of Trioza erytreae on a global scale
Owusu Fordjour Aidoo, Philipe Guilherme Corcino Souza, Ricardo Siqueira da Silva, et al.
Ecological Informatics (2022) Vol. 71, pp. 101792-101792
Closed Access | Times Cited: 37
A framework to integrate innovations in invasion science for proactive management
Charles B. van Rees, Brian K. Hand, Sean C. Carter, et al.
Biological reviews/Biological reviews of the Cambridge Philosophical Society (2022) Vol. 97, Iss. 4, pp. 1712-1735
Closed Access | Times Cited: 30
Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models
Donald J. Benkendorf, Samuel D. Schwartz, D. Richard Cutler, et al.
Ecological Modelling (2023) Vol. 483, pp. 110414-110414
Open Access | Times Cited: 22
Species distributions models may predict accurately future distributions but poorly how distributions change: A critical perspective on model validation
Sirke Piirainen, Aleksi Lehikoinen, Magne Husby, et al.
Diversity and Distributions (2023) Vol. 29, Iss. 5, pp. 654-665
Open Access | Times Cited: 20
Climate‐driven decline in the habitat of the endemic spiny babbler (Turdoides nipalensis)
Binaya Adhikari, Suresh C. Subedi, Shivish Bhandari, et al.
Ecosphere (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 19
Invaders at the doorstep: Using species distribution modeling to enhance invasive plant watch lists
Catherine S. Jarnevich, Peder Engelstad, Jillian LaRoe, et al.
Ecological Informatics (2023) Vol. 75, pp. 101997-101997
Closed Access | Times Cited: 18
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