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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:

A practical introduction to Random Forest for genetic association studies in ecology and evolution
Marine S. O. Brieuc, Charles D. Waters, Daniel P. Drinan, et al.
Molecular Ecology Resources (2018) Vol. 18, Iss. 4, pp. 755-766
Open Access | Times Cited: 146

Showing 1-25 of 146 citing articles:

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: 184
Evaluation of machine learning methods for lithology classification using geophysical data
Thiago Santi Bressan, Marcelo Kehl de Souza, Tiago Jonatan Girelli, et al.
Computers & Geosciences (2020) Vol. 139, pp. 104475-104475
Closed Access | Times Cited: 183
The worldwide impact of urbanisation on avian functional diversity
Daniel Sol, Christopher H. Trisos, Cesc Múrria, et al.
Ecology Letters (2020) Vol. 23, Iss. 6, pp. 962-972
Open Access | Times Cited: 138
Prospects and limitations of genomic offset in conservation management
Christian Rellstab, Benjamin Dauphin, Moisés Expósito‐Alonso
Evolutionary Applications (2021) Vol. 14, Iss. 5, pp. 1202-1212
Open Access | Times Cited: 123
Conservation and the Genomics of Populations
Fred W. Allendorf, W. Chris Funk, Sally N. Aitken, et al.
Oxford University Press eBooks (2022)
Closed Access | Times Cited: 116
Wild GWAS—association mapping in natural populations
Anna W. Santure, Dany Garant
Molecular Ecology Resources (2018) Vol. 18, Iss. 4, pp. 729-738
Closed Access | Times Cited: 125
Distribution, sources, and decomposition of soil organic matter along a salinity gradient in estuarine wetlands characterized by C:N ratio, δ13C‐δ15N, and lignin biomarker
Shaopan Xia, Zhaoliang Song, Qiang Li, et al.
Global Change Biology (2020) Vol. 27, Iss. 2, pp. 417-434
Closed Access | Times Cited: 99
Correlational selection in the age of genomics
Erik Svensson, Stevan J. Arnold, Reinhard Bürger, et al.
Nature Ecology & Evolution (2021) Vol. 5, Iss. 5, pp. 562-573
Closed Access | Times Cited: 73
Machine learning in landscape ecological analysis: a review of recent approaches
Mihai‐Sorin Stupariu, Samuel A. Cushman, Alin Pleșoianu, et al.
Landscape Ecology (2021) Vol. 37, Iss. 5, pp. 1227-1250
Closed Access | Times Cited: 70
Neuron numbers link innovativeness with both absolute and relative brain size in birds
Daniel Sol, Seweryn Olkowicz, Ferran Sayol, et al.
Nature Ecology & Evolution (2022) Vol. 6, Iss. 9, pp. 1381-1389
Closed Access | Times Cited: 50
Feature importance measures from random forest regressor using near-infrared spectra for predicting carbonization characteristics of kraft lignin-derived hydrochar
Sung‐Wook Hwang, Hyunwoo Chung, Tae‐Kyeong Lee, et al.
Journal of Wood Science (2023) Vol. 69, Iss. 1
Open Access | Times Cited: 28
Machine Learning Design for High-Entropy Alloys: Models and Algorithms
S. Liu, Chao Yang
Metals (2024) Vol. 14, Iss. 2, pp. 235-235
Open Access | Times Cited: 15
A demonstration of conservation genomics for threatened species management
Belinda Wright, Katherine A. Farquharson, Elspeth A. McLennan, et al.
Molecular Ecology Resources (2020) Vol. 20, Iss. 6, pp. 1526-1541
Closed Access | Times Cited: 69
Comparing regression, naive Bayes, and random forest methods in the prediction of individual survival to second lactation in Holstein cattle
E.M.M. van der Heide, R.F. Veerkamp, M.L. van Pelt, et al.
Journal of Dairy Science (2019) Vol. 102, Iss. 10, pp. 9409-9421
Open Access | Times Cited: 66
Classification and regression with random forests as a standard method for presence-only data SDMs: A future conservation example using China tree species
Lei Zhang, Falk Huettmann, Shirong Liu, et al.
Ecological Informatics (2019) Vol. 52, pp. 46-56
Closed Access | Times Cited: 56
Genotype by environment interactions in coral bleaching
Crawford Drury, Diego Lirman
Proceedings of the Royal Society B Biological Sciences (2021) Vol. 288, Iss. 1946, pp. 20210177-20210177
Open Access | Times Cited: 44
Study becomes insight: Ecological learning from machine learning
Qiuyan Yu, Wenjie Ji, Lara Prihodko, et al.
Methods in Ecology and Evolution (2021) Vol. 12, Iss. 11, pp. 2117-2128
Open Access | Times Cited: 41
Modeling solubility of CO2–N2 gas mixtures in aqueous electrolyte systems using artificial intelligence techniques and equations of state
Reza Nakhaei-Kohani, Ehsan Taslimi-Renani, Fahime Hadavimoghaddam, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 37
Two decades of association mapping: Insights on disease resistance in major crops
Sunil S. Gangurde, Alencar Xavier, Yogesh Dashrath Naik, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 32
Prediction of detailed blood metabolic profile using milk infrared spectra and machine learning methods in dairy cattle
Diana Giannuzzi, Lúcio Flávio Macêdo Mota, Sara Pegolo, et al.
Journal of Dairy Science (2023) Vol. 106, Iss. 5, pp. 3321-3344
Open Access | Times Cited: 20
Recent trends in computational intelligence for educational big data analysis
Anayo Chukwu Ikegwu, Henry Friday Nweke, Chioma Virginia Anikwe
Iran Journal of Computer Science (2023) Vol. 7, Iss. 1, pp. 103-129
Closed Access | Times Cited: 16
Tolerance traits related to climate change resilience are independent and polygenic
Timothy M. Healy, Reid S. Brennan, Andrew Whitehead, et al.
Global Change Biology (2018) Vol. 24, Iss. 11, pp. 5348-5360
Open Access | Times Cited: 57
The use of classification and regression algorithms using the random forests method with presence-only data to model species’ distribution
Lei Zhang, Falk Huettmann, Xudong Zhang, et al.
MethodsX (2019) Vol. 6, pp. 2281-2292
Open Access | Times Cited: 48
The genetic basis of spatial cognitive variation in a food-caching bird
Carrie L. Branch, Georgy Semenov, Dominique N. Wagner, et al.
Current Biology (2021) Vol. 32, Iss. 1, pp. 210-219.e4
Open Access | Times Cited: 33
A Study on Spatial and Temporal Dynamic Changes of Desertification in Northern China from 2000 to 2020
Zhaolin Jiang, Xiliang Ni, Minfeng Xing
Remote Sensing (2023) Vol. 15, Iss. 5, pp. 1368-1368
Open Access | Times Cited: 16
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