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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 51-75 of 134 citing articles:

Effect of Provenance and Environmental Factors on Tree Growth and Tree Water Status of Norway Spruce
Adriana Leštianska, Peter Fleischer, Katarína Merganičová, et al.
Forests (2023) Vol. 14, Iss. 1, pp. 156-156
Open Access | Times Cited: 7
Estimating asset wealth using multidimensional luminous information in areas lacking nighttime light
Mengjie Wang, Xi Li
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
Estimation of Soil Organic Carbon Density on the Qinghai–Tibet Plateau Using a Machine Learning Model Driven by Multisource Remote Sensing
Qi Chen, Wei Zhou, Wenjiao Shi
Remote Sensing (2024) Vol. 16, Iss. 16, pp. 3006-3006
Open Access | Times Cited: 2
Prediction of Short-Distance Aerial Movement of Phakopsora pachyrhizi Urediniospores Using Machine Learning
Liwei Wen, C. R. Bowen, G. L. Hartman
Phytopathology (2017) Vol. 107, Iss. 10, pp. 1187-1198
Open Access | Times Cited: 21
Influence of sample selection method and estimation technique on sample size requirements for wall-to-wall estimation of volume using airborne LiDAR
Ting-Ru Yang, John A. Kershaw, Aaron R. Weiskittel, et al.
Forestry An International Journal of Forest Research (2019) Vol. 92, Iss. 3, pp. 311-323
Closed Access | Times Cited: 19
Reputation effects in peer-to-peer online markets: meta-analyses and laboratory experiments
Ruohuang Jiao
(2023)
Open Access | Times Cited: 6
Effects of lexical features, textual properties, and individual differences on word processing times during second language reading comprehension
Minkyung Kim, Scott A. Crossley, Stephen Skalicky
Reading and Writing (2018) Vol. 31, Iss. 5, pp. 1155-1180
Open Access | Times Cited: 18
Individual differences in reading: Separable effects of reading experience and processing skill
Peter C. Gordon, Mariah Moore, Wonil Choi, et al.
Memory & Cognition (2019) Vol. 48, Iss. 4, pp. 553-565
Open Access | Times Cited: 16
Predicting mortality in hemodialysis patients using machine learning analysis
V. García-Montemayor, Alejandro Martín‐Malo, C. Barbieri, et al.
Clinical Kidney Journal (2020) Vol. 14, Iss. 5, pp. 1388-1395
Open Access | Times Cited: 15
Determinants of Word‐Reading Development in English Learner University Students: A Longitudinal Eye Movement Study
Daniel Schmidtke, Anna L. Moro
Reading Research Quarterly (2020) Vol. 56, Iss. 4, pp. 819-854
Closed Access | Times Cited: 15
Predictors of literacy in adulthood: Evidence from 33 countries
Aki-Juhani Kyröläinen, Victor Kuperman
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0243763-e0243763
Open Access | Times Cited: 13
Exploring the Machine Learning Paradigm in Determining Risk for Reading Disability
Florina Erbeli, Kai He, Connor Cheek, et al.
Scientific Studies of Reading (2022) Vol. 27, Iss. 1, pp. 5-20
Open Access | Times Cited: 10
Text Complexity of Chinese Elementary School Textbooks: Analysis of Text Linguistic Features Using Machine Learning Algorithms
Miaomiao Liu, Yixun Li, Yongqiang Su, et al.
Scientific Studies of Reading (2023) Vol. 28, Iss. 3, pp. 235-255
Closed Access | Times Cited: 5
Plumage coloration follows Gloger's rule in a ring species
Raoul F. H. Ribot, Mathew L. Berg, Emanuel Schubert, et al.
Journal of Biogeography (2019) Vol. 46, Iss. 3, pp. 584-596
Open Access | Times Cited: 15
High incidence of glucocorticoid-induced hyperglycaemia in inflammatory bowel disease: metabolic and clinical predictors identified by machine learning
Martin B. McDonnell, Richard Harris, Florina Borca, et al.
BMJ Open Gastroenterology (2020) Vol. 7, Iss. 1, pp. e000532-e000532
Open Access | Times Cited: 13
Various measures of potential evapotranspiration have species-specific impact on species distribution models
Arjun Adhikari, Kumar P. Mainali, Imtiaz Rangwala, et al.
Ecological Modelling (2019) Vol. 414, pp. 108836-108836
Closed Access | Times Cited: 13
Changes in Amino Acid and Acylcarnitine Plasma Profiles for Distinguishing Patients with Multiple Sclerosis from Healthy Controls
Marat F. Kasakin, Artem D. Rogachev, E. V. Predtechenskaya, et al.
Multiple Sclerosis International (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 12
Mandative subjunctive versus should in world Englishes: a new take on an old alternation
Sandra C. Deshors, Stefan Τh. Gries
Corpora (2020) Vol. 15, Iss. 2, pp. 213-241
Closed Access | Times Cited: 12
Lexiland: A Tablet-based Universal Screener for Reading Difficulties in the School Context
Camila Zugarramurdi, Lucía Silva-Fernández, Marie Lallier, et al.
Journal of Educational Computing Research (2022) Vol. 60, Iss. 7, pp. 1688-1715
Open Access | Times Cited: 8
The fall of the summer truffle: Recurring hot, dry summers result in declining fruitbody production of Tuber aestivum in Central Europe
Brian S. Steidinger, Ulf Büntgen, Uli Stobbe, et al.
Global Change Biology (2022) Vol. 28, Iss. 24, pp. 7376-7390
Open Access | Times Cited: 8
Quantification of Above-Ground Biomass over the Cross-River State, Nigeria, Using Sentinel-2 Data
Ushuki A. Amuyou, Yi Wang, Francis E. Bisong, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5741-5741
Open Access | Times Cited: 8
Identifying the suicidal ideation risk group among older adults in rural areas: Developing a predictive model using machine learning methods
Junglyun Kim, Donghyeon Gwak, Seonhee Kim, et al.
Journal of Advanced Nursing (2022) Vol. 79, Iss. 2, pp. 641-651
Closed Access | Times Cited: 8
Predictive keywords: Using machine learning to explain document characteristics
Aki-Juhani Kyröläinen, Veronika Laippala
Frontiers in Artificial Intelligence (2023) Vol. 5
Open Access | Times Cited: 4
Lidar and Multispectral Imagery Classifications of Balsam Fir Tree Status for Accurate Predictions of Merchantable Volume
Sarah Yoga, Jean Bégin, Benoît St-Onge, et al.
Forests (2017) Vol. 8, Iss. 7, pp. 253-253
Open Access | Times Cited: 12
Acoustic correlates of anticipatory and progressive [ATR] harmony processes in Ethiopian Komo
Paul Olejarczuk, Manuel A. Otero, Melissa M. Baese‐Berk
Journal of Phonetics (2019) Vol. 74, pp. 18-41
Open Access | Times Cited: 12

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