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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:

Classical Statistics and Statistical Learning in Imaging Neuroscience
Danilo Bzdok
Frontiers in Neuroscience (2017) Vol. 11
Open Access | Times Cited: 152

Showing 1-25 of 152 citing articles:

Statistics versus machine learning
Danilo Bzdok, Naomi Altman, Martin Krzywinski
Nature Methods (2018) Vol. 15, Iss. 4, pp. 233-234
Open Access | Times Cited: 1177
Machine Learning for Precision Psychiatry: Opportunities and Challenges
Danilo Bzdok, Andreas Meyer‐Lindenberg
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2017) Vol. 3, Iss. 3, pp. 223-230
Closed Access | Times Cited: 667
Using machine learning approaches for multi-omics data analysis: A review
Parminder Singh Reel, Smarti Reel, Ewan R. Pearson, et al.
Biotechnology Advances (2021) Vol. 49, pp. 107739-107739
Open Access | Times Cited: 516
Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?
Katja Franke, Christian Gaser
Frontiers in Neurology (2019) Vol. 10
Open Access | Times Cited: 490
Comparison of Conventional Statistical Methods with Machine Learning in Medicine: Diagnosis, Drug Development, and Treatment
Hema Sekhar Reddy Rajula, Giuseppe Verlato, Mirko Manchia, et al.
Medicina (2020) Vol. 56, Iss. 9, pp. 455-455
Open Access | Times Cited: 378
Deconstructing multivariate decoding for the study of brain function
Martin N. Hebart, Chris I. Baker
NeuroImage (2017) Vol. 180, pp. 4-18
Open Access | Times Cited: 284
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Marc‐Andre Schulz, B.T. Thomas Yeo, Joshua T Vogelstein, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 235
Finding the needle in a high-dimensional haystack: Canonical correlation analysis for neuroscientists
Hao-Ting Wang, Jonathan Smallwood, Janaı́na Mourão-Miranda, et al.
NeuroImage (2020) Vol. 216, pp. 116745-116745
Open Access | Times Cited: 221
Inference in the age of big data: Future perspectives on neuroscience
Danilo Bzdok, B.T. Thomas Yeo
NeuroImage (2017) Vol. 155, pp. 549-564
Open Access | Times Cited: 193
Exploration, Inference, and Prediction in Neuroscience and Biomedicine
Danilo Bzdok, John P. A. Ioannidis
Trends in Neurosciences (2019) Vol. 42, Iss. 4, pp. 251-262
Open Access | Times Cited: 187
Introduction to machine learning
Sandra Vieira, Walter Hugo Lopez Pinaya, Andrea Mechelli
Machine learning (2019), pp. 1-20
Closed Access | Times Cited: 183
Left inferior parietal lobe engagement in social cognition and language
Danilo Bzdok, Gesa Hartwigsen, Andrew Reid, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 68, pp. 319-334
Open Access | Times Cited: 170
Sex Classification by Resting State Brain Connectivity
Susanne Weis, Kaustubh R. Patil, Felix Hoffstaedter, et al.
Cerebral Cortex (2019) Vol. 30, Iss. 2, pp. 824-835
Open Access | Times Cited: 158
Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies
James V. Haxby, J. Swaroop Guntupalli, Samuel A. Nastase, et al.
eLife (2020) Vol. 9
Open Access | Times Cited: 157
Functional specialization within the inferior parietal lobes across cognitive domains
Ole Numssen, Danilo Bzdok, Gesa Hartwigsen
eLife (2021) Vol. 10
Open Access | Times Cited: 124
Lake Water Temperature Modeling in an Era of Climate Change: Data Sources, Models, and Future Prospects
Sebastiano Piccolroaz, Senlin Zhu, Robert Ladwig, et al.
Reviews of Geophysics (2024) Vol. 62, Iss. 1
Open Access | Times Cited: 43
How to control for confounds in decoding analyses of neuroimaging data
Lukas Snoek, Steven Miletić, H. Steven Scholte
NeuroImage (2018) Vol. 184, pp. 741-760
Open Access | Times Cited: 135
Classification and treatment of antisocial individuals: From behavior to biocognition
Inti A. Brazil, Josanne D. M. van Dongen, Joseph H. R. Maes, et al.
Neuroscience & Biobehavioral Reviews (2016) Vol. 91, pp. 259-277
Open Access | Times Cited: 112
Algorithm Supported Induction for Building Theory: How Can We Use Prediction Models to Theorize?
Yash Raj Shrestha, Vivianna Fang He, Phanish Puranam, et al.
Organization Science (2020) Vol. 32, Iss. 3, pp. 856-880
Closed Access | Times Cited: 85
Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation
Swathikan Chidambaram, Yathukulan Maheswaran, Kian Patel, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6920-6920
Open Access | Times Cited: 57
Recent advances in psychoradiology
Lekai Luo, Wanfang You, Melissa P. DelBello, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 23, pp. 23TR01-23TR01
Open Access | Times Cited: 49
On the prediction of human intelligence from neuroimaging: A systematic review of methods and reporting
Bruno Hebling Vieira, Gustavo Santo Pedro Pamplona, Karim Fachinello, et al.
Intelligence (2022) Vol. 93, pp. 101654-101654
Open Access | Times Cited: 47
Population heterogeneity in clinical cohorts affects the predictive accuracy of brain imaging
Oualid Benkarim, Casey Paquola, Bo‐yong Park, et al.
PLoS Biology (2022) Vol. 20, Iss. 4, pp. e3001627-e3001627
Open Access | Times Cited: 40
Formal Models of the Network Co-occurrence Underlying Mental Operations
Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, et al.
PLoS Computational Biology (2016) Vol. 12, Iss. 6, pp. e1004994-e1004994
Open Access | Times Cited: 85
Towards algorithmic analytics for large-scale datasets
Danilo Bzdok, Thomas E. Nichols, Stephen M. Smith
Nature Machine Intelligence (2019) Vol. 1, Iss. 7, pp. 296-306
Open Access | Times Cited: 75
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