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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:

Explainable machine learning approach to predict and explain the relationship between task-based fMRI and individual differences in cognition
Narun Pat, Yue Wang, Adam Bartonicek, et al.
Cerebral Cortex (2022) Vol. 33, Iss. 6, pp. 2682-2703
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Stability, change, and reliable individual differences in electroencephalography measures: A lifespan perspective on progress and opportunities
Kelsie L. Lopez, A.D. Monachino, Katherine M. Vincent, et al.
NeuroImage (2023) Vol. 275, pp. 120116-120116
Open Access | Times Cited: 29
The challenges and prospects of brain-based prediction of behaviour
Jianxiao Wu, Jingwei Li, Simon B. Eickhoff, et al.
Nature Human Behaviour (2023) Vol. 7, Iss. 8, pp. 1255-1264
Closed Access | Times Cited: 26
Explainable AI models for predicting drop coalescence in microfluidics device
Jin-Wei Hu, Kewei Zhu, Sibo Cheng, et al.
Chemical Engineering Journal (2024) Vol. 481, pp. 148465-148465
Open Access | Times Cited: 13
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
Antonio Luca Alfeo, Antonio G. Zippo, Vincenzo Catrambone, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107550-107550
Open Access | Times Cited: 16
A scoping review of interpretability and explainability concerning artificial intelligence methods in medical imaging
Mélanie Champendal, Henning Müller, John O. Prior, et al.
European Journal of Radiology (2023) Vol. 169, pp. 111159-111159
Open Access | Times Cited: 16
Enhancing task fMRI individual difference research with neural signatures
David A. A. Baranger, Aaron J. Gorelik, Sarah E. Paul, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Predicting executive functioning from functional brain connectivity: network specificity and age effects
Marisa K. Heckner, Edna C. Cieslik, Kaustubh R. Patil, et al.
Cerebral Cortex (2023) Vol. 33, Iss. 11, pp. 6495-6507
Open Access | Times Cited: 14
Unbiased proteomics and multivariable regularized regression techniques identify SMOC1, NOG, APCS, and NTN1 in an Alzheimer’s disease brain proteomic signature
Jackson A. Roberts, Vijay R. Varma, Julián Candia, et al.
npj Aging (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 14
Modeling and predicting failure in US credit unions
Qiao Peng, Donal McKillop, Barry Quinn, et al.
International Journal of Forecasting (2025)
Closed Access
Healthy Aging Metabolomic and Proteomic Signatures Across Multiple Physiological Compartments
Ruin Moaddel, Julián Candia, Ceereena Ubaida‐Mohien, et al.
Aging Cell (2025)
Open Access
The relationship between cognitive abilities and mental health as represented by cognitive abilities at the neural and genetic levels of analysis
Yue Wang, Richard Anney, Narun Pornpattananangkul
(2025)
Open Access
The relationship between cognitive abilities and mental health as represented by cognitive abilities at the neural and genetic levels of analysis
Yue Wang, Richard Anney, Narun Pornpattananangkul
(2025)
Open Access
Urban Heat Island Mitigation in Tehran: District-based Mapping and Analysis of Key Drivers
Ali Aslani, Maryam Sereshti, Ayyoob Sharifi
Sustainable Cities and Society (2025), pp. 106338-106338
Closed Access
Prediction of moment‐by‐moment heart rate and skin conductance changes in the context of varying emotional arousal
Harisu Abdullahi Shehu, Matt Oxner, Will N. Browne, et al.
Psychophysiology (2023) Vol. 60, Iss. 9
Open Access | Times Cited: 10
Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals
Alina Tetereva, Narun Pat
eLife (2024) Vol. 12
Open Access | Times Cited: 2
Prediction of image interpretation cognitive ability under different mental workloads: a task-state fMRI study
Bao Li, Li Tong, Chi Zhang, et al.
Cerebral Cortex (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 1
Stimulus shapes strategy: Effects of stimulus characteristics and individual differences in academic achievement on the neural mechanisms engaged during the N-back task
Daniel R. Leopold, Hyo‐Jeong Kim, Kenneth W. Carlson, et al.
Developmental Cognitive Neuroscience (2024) Vol. 66, pp. 101372-101372
Open Access | Times Cited: 1
The (Limited?) Utility of Brain Age as a Biomarker for Capturing Fluid Cognition in Older Individuals
Alina Tetereva, Narun Pat
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Brain age has limited utility as a biomarker for capturing fluid cognition in older individuals
Alina Tetereva, Narun Pat
eLife (2023) Vol. 12
Open Access | Times Cited: 2
Empirically validate cognitive abilities as an RDoC transdiagnostic domain for mental health across neural and genetic units of analysis
Yue Wang, Richard Anney, Narun Pat
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Neurodevelopmental Subtypes of Functional Brain Organization in the ABCD Study Using a Rigorous Analytic Framework
Jacob DeRosa, Naomi P. Friedman, Vince D. Calhoun, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
The (Limited?) Utility of Brain Age as a Biomarker for Capturing Fluid Cognition in Older Individuals
Alina Tetereva, Narun Pat
(2024)
Open Access
Improving Predictability, Test-Retest Reliability and Generalisability of Brain-Wide Associations for Cognitive Abilities via Multimodal Stacking
Alina Tetereva, Annchen R. Knodt, Tracy R. Melzer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Explainable Emotion Decoding for Human and Computer Vision
Alessio Borriero, Martina Milazzo, Matteo Diano, et al.
Communications in computer and information science (2024), pp. 178-201
Closed Access
Drawing Attributions From Evolved Counterfactuals
Ján Jakubík, Halina Kwaśnicka
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 1582-1589
Closed Access
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