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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.

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Showing 22 citing articles:

Anxious Brains: A Combined Data Fusion Machine Learning Approach to Predict Trait Anxiety from Morphometric Features
Teresa Baggio, Alessandro Grecucci, Federica Meconi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 610-610
Open Access | Times Cited: 24
Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis
Zhiyi Chen, Xuerong Liu, Qingwu Yang, et al.
JAMA Network Open (2023) Vol. 6, Iss. 3, pp. e231671-e231671
Open Access | Times Cited: 19
Machine learning applied to functional magnetic resonance imaging in anxiety disorders
Sahar Rezaei, Esmaeil Gharepapagh, Fatemeh Rashidi, et al.
Journal of Affective Disorders (2023) Vol. 342, pp. 54-62
Closed Access | Times Cited: 19
Narcissus reflected: Grey and white matter features joint contribution to the default mode network in predicting narcissistic personality traits
Khanitin Jornkokgoud, Teresa Baggio, Richard Bakiaj, et al.
European Journal of Neuroscience (2024) Vol. 59, Iss. 12, pp. 3273-3291
Closed Access | Times Cited: 5
Abnormal Brain Circuits Characterize Borderline Personality and Mediate the Relationship between Childhood Traumas and Symptoms: A mCCA+jICA and Random Forest Approach
Alessandro Grecucci, Harold Dadomo, Gerardo Salvato, et al.
Sensors (2023) Vol. 23, Iss. 5, pp. 2862-2862
Open Access | Times Cited: 12
Predicting narcissistic personality traits from brain and psychological features: A supervised machine learning approach
Khanitin Jornkokgoud, Teresa Baggio, Md Faysal, et al.
Social Neuroscience (2023) Vol. 18, Iss. 5, pp. 257-270
Closed Access | Times Cited: 12
The two sides of Phobos: Gray and white matter abnormalities in phobic individuals
Alessandro Grecucci, Alessandro Scarano, Ascensión Fumero, et al.
Cognitive Affective & Behavioral Neuroscience (2025)
Closed Access
The Artists’ Brain: A Data Fusion Approach to Characterize the Neural Bases of Professional Visual Artists
Erdem Taskiran, Francesca Bacci, David Melcher, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Grey and White Matter alterations in Obsessive-Compulsive Personality disorder: a Data Fusion Machine Learning approach
Luigi Arena, Wenceslao Peñate Castro, Francisco Rivero, et al.
Research Square (Research Square) (2025)
Closed Access
Resting-state BOLD temporal variability of the default mode network predicts spontaneous mind wandering, which is negatively associated with mindfulness skills
Sara Sorella, Cristiano Crescentini, Alessio Matiz, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Unmasking the Dark Triad: A Data Fusion Machine Learning Approach to Characterize the Neural Bases of Narcissistic, Machiavellian and Psychopathic Traits
Richard Bakiaj, Clara Isabel Pantoja Muñoz, Andrea Bizzego, et al.
European Journal of Neuroscience (2025) Vol. 61, Iss. 2
Open Access
Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach
Xiaoping Yi, Min Ma, X.Y. Wang, et al.
NeuroImage (2025) Vol. 312, pp. 121225-121225
Open Access
Reduced GM–WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach
Alessandro Grecucci, Bianca Monachesi, Irene Messina
Social Cognitive and Affective Neuroscience (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 3
The phobic brain: Morphometric features correctly classify individuals with small animal phobia
Alessandro Scarano, Ascensión Fumero, Teresa Baggio, et al.
Psychophysiology (2024)
Open Access | Times Cited: 3
How sexual objectification marks the brain: fMRI evidence of self-objectification and its harmful emotional consequences
Bianca Monachesi, Alice Deruti, Jeroen Vaes, et al.
NeuroImage (2024) Vol. 297, pp. 120729-120729
Open Access | Times Cited: 2
Two Grey–White Matter Circuits Separate Borderline Personality Disorder From Controls and Mediate the Relationship Between Specific Childhood Traumas and Symptoms. A mCCA+jICA and Random Forest Approach
Alessandro Grecucci, Harold Dadomo, Gerardo Salvato, et al.
(2023)
Open Access | Times Cited: 4
A Supervised Machine Learning Approach to Classify Brain Morphology of Professional Visual Artists versus Non-Artists
Alessandro Grecucci, Clara Rastelli, Francesca Bacci, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4199-4199
Open Access | Times Cited: 3
“Holding in Anger” as a Mediator in the Relationship between Attachment Orientations and Borderline Personality Features
Irene Messina, Pietro Spataro, Sara Sorella, et al.
Brain Sciences (2023) Vol. 13, Iss. 6, pp. 878-878
Open Access | Times Cited: 2
Machine learning based detection of depression from task-based fMRI using weighted-3D-DWT denoising method
Güzin ÖZMEN, Seral Özşen, Yahya Paksoy, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 11805-11829
Closed Access | Times Cited: 2
Therapist reactions to patient personality: A pilot study of clinicians’ emotional and neural responses using three clinical vignettes from in treatment series
Annalisa Tanzilli, Cristina Trentini, Alessandro Grecucci, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 4
The phobic brain: morphometric features correctly classify individuals with small animal phobia
Alessandro Scarano, Ascensión Fumero, Teresa Baggio, et al.
(2024)
Open Access
Neuropredictive Models of Personality Pathology
Alessandro Grecucci, Rodolfo Rizzi, Teresa Baggio, et al.
(2024), pp. 1-23
Closed Access
Anxious brains: A combined data fusion machine learning approach to predict trait anxiety from gray and white matter features
Teresa Baggio, Alessandro Grecucci, Federica Meconi, et al.
Research Square (Research Square) (2022)
Open Access
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