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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:

The Random Forests statistical technique: An examination of its value for the study of reading
Kazunaga Matsuki, Victor Kuperman, Julie A. Van Dyke
Scientific Studies of Reading (2016) Vol. 20, Iss. 1, pp. 20-33
Open Access | Times Cited: 134

Showing 26-50 of 134 citing articles:

Predicting Mechanical Properties in Geopolymer Mortars, Including Novel Precursor Combinations, Through XGBoost Method
Yıldıran Yılmaz, Talip Çakmak, Zafer Kurt, et al.
Arabian Journal for Science and Engineering (2024)
Open Access | Times Cited: 4
Contributions of reader- and text-level characteristics to eye-movement patterns during passage reading.
Victor Kuperman, Kazunaga Matsuki, Julie A. Van Dyke
Journal of Experimental Psychology Learning Memory and Cognition (2018) Vol. 44, Iss. 11, pp. 1687-1713
Open Access | Times Cited: 34
Using information-theoretic measures to characterize the structure of the writing system: the case of orthographic-phonological regularities in English
Noam Siegelman, Devin M. Kearns, Jay G. Rueckl
Behavior Research Methods (2020) Vol. 52, Iss. 3, pp. 1292-1312
Open Access | Times Cited: 32
Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica
Shraddha Karanth, Collins Kipngetich Tanui, Jianghong Meng, et al.
Food Research International (2021) Vol. 151, pp. 110817-110817
Open Access | Times Cited: 26
Moving towards accurate and early prediction of language delay with network science and machine learning approaches
Arielle Borovsky, Donna Thal, Laurence B. Leonard
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 24
Exploratory machine learning modeling of adaptive and maladaptive personality traits from passively sensed behavior
Runze Yan, Whitney R. Ringwald, Julio Vega, et al.
Future Generation Computer Systems (2022) Vol. 132, pp. 266-281
Open Access | Times Cited: 18
An improved downscaled sun-induced chlorophyll fluorescence (DSIF) product of GOME-2 dataset
Yan Ma, Liangyun Liu, Xinjie Liu, et al.
European Journal of Remote Sensing (2022) Vol. 55, Iss. 1, pp. 168-180
Open Access | Times Cited: 17
Machine Learning for Automated Classification of Abnormal Lung Sounds Obtained from Public Databases: A Systematic Review
Juan García-Méndez, Amos Lal, Svetlana Herasevich, et al.
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1155-1155
Open Access | Times Cited: 10
Water Quality and Land Use Shape Bacterial Communities Across 621 Canadian Lakes
Vera E. Onana, Beatrix E. Beisner, David A. Walsh
Environmental Microbiology (2025) Vol. 27, Iss. 1
Closed Access
Pandanus plastomes decoded: When climate mirrors morphology and phylogenetic relationships
John Wojahn, Martin W. Callmander, Sven Buerki
American Journal of Botany (2025)
Open Access
Debris-covered glaciers mapping based on machine learning and multi-source satellite images over Eastern Pamir
Aamir Feroz, Shuang Liang, Guoqiang Li, et al.
Big Earth Data (2025), pp. 1-33
Open Access
The Development of a prediction model for early hospital readmission after kidney transplantation using Machine Learning (Preprint)
Hye Jin Chong, Ji‐Hyun Yeom
(2025)
Closed Access
Getting there is half the journey: An exploration of high schoolers' individual differences and navigation strategies during internet-based digital reading
K. Norberg, Hyeju Han, Byeong‐Young Cho, et al.
Learning and Individual Differences (2025) Vol. 120, pp. 102676-102676
Closed Access
A data‐driven approach to multi‐facet prioritization of biodiversity in regional conservation planning
Thibaut Ferraille, Christian Kerbiriou, Charlotte Bigard, et al.
Conservation Science and Practice (2025)
Open Access
Assessing Reading Fluency in Elementary Grades: A Machine Learning Approach
Gabriel Silva, Rodrigo Lins Rodrigues, Américo N. Amorim, et al.
Computers and Education Artificial Intelligence (2025), pp. 100411-100411
Open Access
Machine learning predictions of drug release from isocyanate-derived aerogels
Stephen Yaw Owusu, Mark Amo-Boateng, Rushi U. Soni
Journal of Materials Chemistry B (2025)
Closed Access
Identifying the components of a successful spoken naming therapy: a meta-analysis of word-finding interventions for adults with aphasia
Wei Ping Sze, Solène Hameau, Jane E. Warren, et al.
Aphasiology (2020) Vol. 35, Iss. 1, pp. 33-72
Open Access | Times Cited: 27
Unveiling the optimal regression model for source apportionment of the oxidative potential of PM10
Vy Dinh Ngoc Thuy, Jean‐Luc Jaffrezo, Ian Hough, et al.
Atmospheric chemistry and physics (2024) Vol. 24, Iss. 12, pp. 7261-7282
Open Access | Times Cited: 3
Emulation of the Saint Venant Equations Enables Rapid and Accurate Predictions of Infiltration and Overland Flow Velocity on Spatially Heterogeneous Surfaces
Octavia Crompton, Anneliese Sytsma, Sally Thompson
Water Resources Research (2019) Vol. 55, Iss. 8, pp. 7108-7129
Open Access | Times Cited: 23
From categories to gradience: Auto-coding sociophonetic variation with random forests
Dan Villarreal, Lynn Clark, Jennifer Hay, et al.
Laboratory Phonology Journal of the Association for Laboratory Phonology (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 23
Growing Random Forests reveals that exposure and proficiency best account for individual variability in L2 (and L1) brain potentials for syntax and semantics
Lauren A. Fromont, Phaedra Royle, Karsten Steinhauer
Brain and Language (2020) Vol. 204, pp. 104770-104770
Closed Access | Times Cited: 21
Apolipoprotein E genotype, inflammatory biomarkers, and non-psychiatric multimorbidity contribute to the suicidal ideation phenotype in older age. The Salus in Apulia Study
Madia Lozupone, Rossella Donghia, Rodolfo Sardone, et al.
Journal of Affective Disorders (2022) Vol. 319, pp. 202-212
Closed Access | Times Cited: 13
Accounting for the aerosol type and additional satellite-borne aerosol products improves the prediction of PM2.5 concentrations
Somaya Falah, Fadi Kizel, Tirthankar Banerjee, et al.
Environmental Pollution (2023) Vol. 320, pp. 121119-121119
Closed Access | Times Cited: 7
Clinical Significance of Extracellular Vesicles in Prostate and Renal Cancer
Tzu-Yi Chen, Meredith Mihalopoulos, Laura Zuluaga, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 19, pp. 14713-14713
Open Access | Times Cited: 7
Compositionality, sparsity, spurious heterogeneity, and other data-driven challenges for machine learning algorithms within plant microbiome studies
Sebastiano Busato, Max Gordon, Meenal Chaudhari, et al.
Current Opinion in Plant Biology (2022) Vol. 71, pp. 102326-102326
Open Access | Times Cited: 12

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