Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges?
Linda J. Beaumont, Erin Graham, Daisy Englert Duursma, et al.
Ecological Modelling (2016) Vol. 342, pp. 135-146
Closed Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Outstanding Challenges in the Transferability of Ecological Models
Katherine L. Yates, Phil J. Bouchet, M. Julian Caley, et al.
Trends in Ecology & Evolution (2018) Vol. 33, Iss. 10, pp. 790-802
Open Access | Times Cited: 605
Predictive performance of presence‐only species distribution models: a benchmark study with reproducible code
Roozbeh Valavi, Gurutzeta Guillera‐Arroita, José J. Lahoz‐Monfort, et al.
Ecological Monographs (2021) Vol. 92, Iss. 1
Open Access | Times Cited: 478
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
The impact of climate change and variability on coffee production: a systematic review
Yen Pham, Kathryn Reardon‐Smith, Shahbaz Mushtaq, et al.
Climatic Change (2019) Vol. 156, Iss. 4, pp. 609-630
Closed Access | Times Cited: 203
Model complexity affects species distribution projections under climate change
Philipp Brun, Wilfried Thuiller, Yohann Chauvier, et al.
Journal of Biogeography (2019) Vol. 47, Iss. 1, pp. 130-142
Open Access | Times Cited: 178
Climate Change Impacts on Seagrass Meadows and Macroalgal Forests: An Integrative Perspective on Acclimation and Adaptation Potential
Bernardo Duarte, Irene Martins, Rui Rosa, et al.
Frontiers in Marine Science (2018) Vol. 5
Open Access | Times Cited: 169
SDMtune: An R package to tune and evaluate species distribution models
Sergio Vignali, Arnaud Barras, Raphaël Arlettaz, et al.
Ecology and Evolution (2020) Vol. 10, Iss. 20, pp. 11488-11506
Open Access | Times Cited: 167
Comparison between optimized MaxEnt and random forest modeling in predicting potential distribution: A case study with Quasipaa boulengeri in China
Ziyi Zhao, Nengwen Xiao, Mei Shen, et al.
The Science of The Total Environment (2022) Vol. 842, pp. 156867-156867
Closed Access | Times Cited: 93
Climate change extinctions
Mark C. Urban
Science (2024) Vol. 386, Iss. 6726, pp. 1123-1128
Open Access | Times Cited: 18
Climate change amplifies plant invasion hotspots in Nepal
Uttam Babu Shrestha, Bharat Babu Shrestha
Diversity and Distributions (2019) Vol. 25, Iss. 10, pp. 1599-1612
Open Access | Times Cited: 101
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
Climate and land use changes will degrade the distribution of Rhododendrons in China
Fangyuan Yu, Tiejun Wang, T.A. Groen, et al.
The Science of The Total Environment (2018) Vol. 659, pp. 515-528
Open Access | Times Cited: 86
Species distribution models can be highly sensitive to algorithm configuration
Willow Hallgren, Fabiana Soares Santana, Samantha Low‐Choy, et al.
Ecological Modelling (2019) Vol. 408, pp. 108719-108719
Closed Access | Times Cited: 81
Predicting invasion potential and niche dynamics of Parthenium hysterophorus (Congress grass) in India under projected climate change
Rameez Ahmad, Anzar Ahmad Khuroo, Maroof Hamid, et al.
Biodiversity and Conservation (2019) Vol. 28, Iss. 8-9, pp. 2319-2344
Closed Access | Times Cited: 79
Predictability of Species Distributions Deteriorates Under Novel Environmental Conditions in the California Current System
Barbara Muhling, Stephanie Brodie, James A. Smith, et al.
Frontiers in Marine Science (2020) Vol. 7
Open Access | Times Cited: 74
Identifying climate refugia for high‐elevation Alpine birds under current climate warming predictions
Mattia Brambilla, Diego Rubolini, Ojan Appukuttan, et al.
Global Change Biology (2022) Vol. 28, Iss. 14, pp. 4276-4291
Open Access | Times Cited: 55
Predicted range shifts of invasive giant hogweed (Heracleum mantegazzianum) in Europe
Quadri A. Anibaba, Marcin K. Dyderski, Andrzej M. Jagodziński
The Science of The Total Environment (2022) Vol. 825, pp. 154053-154053
Closed Access | Times Cited: 47
A Systematic Review on the Impacts of Climate Change on Coffee Agrosystems
Christine Bilen, Daniel El Chami, Valentina Mereu, et al.
Plants (2022) Vol. 12, Iss. 1, pp. 102-102
Open Access | Times Cited: 47
Ensemble modelling enables identification of suitable sites for habitat restoration of threatened biodiversity under climate change: A case study of Himalayan Trillium
Zubair Ahmad Rather, Rameez Ahmad, Tanvir Ul Hassan Dar, et al.
Ecological Engineering (2022) Vol. 176, pp. 106534-106534
Closed Access | Times Cited: 46
Incorporating intraspecific variation into species distribution models improves climate change analyses of a widespread West African tree species (Pterocarpus erinaceus Poir, Fabaceae)
Séverin Biaou, Gérard Nounagnon Gouwakinnou, Florent Noulèkoun, et al.
Global Ecology and Conservation (2023) Vol. 45, pp. e02538-e02538
Open Access | Times Cited: 27
Shifts in native tree species distributions in Europe under climate change
Marcin K. Dyderski, Sonia Paź‐Dyderska, Andrzej M. Jagodziński, et al.
Journal of Environmental Management (2024) Vol. 373, pp. 123504-123504
Open Access | Times Cited: 11
Predicting Current and Future Habitat Suitability of an Endemic Species Using Data-Fusion Approach: Responses to Climate Change
Atiyeh Amindin, Hamid Reza Pourghasemi, Roja Safaeian, et al.
Rangeland Ecology & Management (2024) Vol. 94, pp. 149-162
Closed Access | Times Cited: 9
Bias-corrected high-resolution temperature and precipitation projections for Canada
Hebatallah Mohamed Abdelmoaty, Chandra Rupa Rajulapati, Sofia D. Nerantzaki, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Habitat suitability modelling of a critically endangered plant species -Commiphora wightii (Arn.) Bhandari: comparative assessment using various machine learning algorithms
Manish Mathur, Preet Mathur
Tropical Ecology (2025)
Closed Access | Times Cited: 1
On the importance of predictor choice, modelling technique, and number of pseudo‐absences for bioclimatic envelope model performance
Mirza Čengić, Jasmijn Rost, Daniela Remenska, et al.
Ecology and Evolution (2020) Vol. 10, Iss. 21, pp. 12307-12317
Open Access | Times Cited: 53
Page 1 - Next Page

Scroll to top