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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:

Hyperparameters and tuning strategies for random forest
Philipp Probst, Marvin N. Wright, Anne‐Laure Boulesteix
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2019) Vol. 9, Iss. 3
Open Access | Times Cited: 1463

Showing 1-25 of 1463 citing articles:

Global patterns of terrestrial nitrogen and phosphorus limitation
Enzai Du, César Terrer, Adam F. A. Pellegrini, et al.
Nature Geoscience (2020) Vol. 13, Iss. 3, pp. 221-226
Closed Access | Times Cited: 975
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review
Mohammadreza Sheykhmousa, Masoud Mahdianpari, Hamid Ghanbari, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020) Vol. 13, pp. 6308-6325
Open Access | Times Cited: 739
Random forest versus logistic regression: a large-scale benchmark experiment
Raphaël Couronné, Philipp Probst, Anne‐Laure Boulesteix
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 656
Global prevalence of non-perennial rivers and streams
Mathis Messager, Bernhard Lehner, Charlotte Cockburn, et al.
Nature (2021) Vol. 594, Iss. 7863, pp. 391-397
Closed Access | Times Cited: 442
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
Patrick Schratz, Jannes Muenchow, Eugenia Iturritxa, et al.
Ecological Modelling (2019) Vol. 406, pp. 109-120
Open Access | Times Cited: 422
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
Sergio González, Salvador García, Javier Del Ser, et al.
Information Fusion (2020) Vol. 64, pp. 205-237
Closed Access | Times Cited: 417
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl, Martin Binder, Michel Lang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 346
Machine learning and soil sciences: a review aided by machine learning tools
José Padarian, Budiman Minasny, Alex B. McBratney
SOIL (2020) Vol. 6, Iss. 1, pp. 35-52
Open Access | Times Cited: 340
Grid search in hyperparameter optimization of machine learning models for prediction of HIV/AIDS test results
Daniel Mesafint Belete, Manjaiah D. Huchaiah
International Journal of Computers and Applications (2021) Vol. 44, Iss. 9, pp. 875-886
Closed Access | Times Cited: 247
The Coronavirus Health and Impact Survey (CRISIS) reveals reproducible correlates of pandemic-related mood states across the Atlantic
Aki Nikolaidis, Diana Paksarian, Lindsay Alexander, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 233
Machine learning for predicting greenhouse gas emissions from agricultural soils
Abderrachid Hamrani, Abdolhamid Akbarzadeh, Chandra A. Madramootoo
The Science of The Total Environment (2020) Vol. 741, pp. 140338-140338
Closed Access | Times Cited: 195
Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data
Eduard T. Klapwijk, Ferdi van de Kamp, Mara van der Meulen, et al.
NeuroImage (2019) Vol. 189, pp. 116-129
Open Access | Times Cited: 186
Forecasting of Real GDP Growth Using Machine Learning Models: Gradient Boosting and Random Forest Approach
Jaehyun Yoon
Computational Economics (2020) Vol. 57, Iss. 1, pp. 247-265
Closed Access | Times Cited: 179
Modelling species presence‐only data with random forests
Roozbeh Valavi, Jane Elith, José J. Lahoz‐Monfort, et al.
Ecography (2021) Vol. 44, Iss. 12, pp. 1731-1742
Open Access | Times Cited: 177
Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105287-105287
Closed Access | Times Cited: 164
Evaluating the potential impacts of land use changes on ecosystem service value under multiple scenarios in support of SDG reporting: A case study of the Wuhan urban agglomeration
Kaifeng Peng, Weiguo Jiang, Ziyan Ling, et al.
Journal of Cleaner Production (2021) Vol. 307, pp. 127321-127321
Closed Access | Times Cited: 163
A comparison of machine learning methods for predicting the compressive strength of field-placed concrete
M.A. DeRousseau, Emil Laftchiev, Joseph Kasprzyk, et al.
Construction and Building Materials (2019) Vol. 228, pp. 116661-116661
Open Access | Times Cited: 155
Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms
A. T. M. Sakiur Rahman, Takahiro Hosono, John Quilty, et al.
Advances in Water Resources (2020) Vol. 141, pp. 103595-103595
Closed Access | Times Cited: 154
Tuning hyperparameters of machine learning algorithms and deep neural networks using metaheuristics: A bioinformatics study on biomedical and biological cases
Sajjad Nematzadeh, Farzad Kiani, Mahsa Torkamanian-Afshar, et al.
Computational Biology and Chemistry (2021) Vol. 97, pp. 107619-107619
Closed Access | Times Cited: 154
Plant sizes and shapes above and belowground and their interactions with climate
Shersingh Joseph Tumber‐Dávila, H. Jochen Schenk, Enzai Du, et al.
New Phytologist (2022) Vol. 235, Iss. 3, pp. 1032-1056
Open Access | Times Cited: 123
Gut microbiota and BMI throughout childhood: the role of firmicutes, bacteroidetes, and short-chain fatty acid producers
Timothy A. Houtman, Henrik Eckermann, Hauke Smidt, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 122
An Advanced Intrusion Detection System for IIoT Based on GA and Tree Based Algorithms
Sydney Mambwe Kasongo
IEEE Access (2021) Vol. 9, pp. 113199-113212
Open Access | Times Cited: 118
The global distribution of known and undiscovered ant biodiversity
Jamie M. Kass, Benoît Guénard, Kenneth L. Dudley, et al.
Science Advances (2022) Vol. 8, Iss. 31
Open Access | Times Cited: 109
Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine
Maolin Shi, Weifei Hu, Muxi Li, et al.
Mechanical Systems and Signal Processing (2022) Vol. 188, pp. 110022-110022
Closed Access | Times Cited: 98
MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning
Parand Akbari, Francis Ogoke, Ning-Yu Kao, et al.
Additive manufacturing (2022) Vol. 55, pp. 102817-102817
Open Access | Times Cited: 86
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