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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 1-25 of 37 citing articles:

The compensatory phenomenon of the functional connectome related to pathological biomarkers in individuals with subjective cognitive decline
Haifeng Chen, Xiaoning Sheng, Caimei Luo, et al.
Translational Neurodegeneration (2020) Vol. 9, Iss. 1
Open Access | Times Cited: 74
EEG-based functional connectivity analysis of brain abnormalities: A systematic review study
Nastaran Khaleghi, Shaghayegh Hashemi, Mohammad Peivandi, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101476-101476
Open Access | Times Cited: 8
Do NMDA-R antagonists re-create patterns of spontaneous gamma-band activity in schizophrenia? A systematic review and perspective
Bianca Bianciardi, Peter J. Uhlhaas
Neuroscience & Biobehavioral Reviews (2021) Vol. 124, pp. 308-323
Open Access | Times Cited: 42
Minimum spanning tree analysis of brain networks: A systematic review of network size effects, sensitivity for neuropsychiatric pathology, and disorder specificity
N. Blomsma, B. de Rooy, Frank L. Gerritse, et al.
Network Neuroscience (2022) Vol. 6, Iss. 2, pp. 301-319
Open Access | Times Cited: 28
Automatic identification of schizophrenia based on EEG signals using dynamic functional connectivity analysis and 3D convolutional neural network
Mingkan Shen, Peng Wen, Bo Song, et al.
Computers in Biology and Medicine (2023) Vol. 160, pp. 107022-107022
Closed Access | Times Cited: 13
Evaluation of diagnostic accuracy of physical examination and MRI for ligament and meniscus injuries
Przemysław Krakowski, Robert Karpiński, Józef Jonak, et al.
Journal of Physics Conference Series (2021) Vol. 1736, Iss. 1, pp. 012027-012027
Open Access | Times Cited: 32
Altered Brain‐Behavior Association During Resting State is a Potential Psychosis Risk Marker
Leonardo Fazio, Giuseppe Stolfa, Roberta Passiatore, et al.
Advanced Science (2025)
Open Access
Resting-state hyperconnectivity within the default mode network impedes the ability to initiate cognitive performance in first-episode schizophrenia patients
Paweł Krukow, Kamil Jonak, Cezary Grochowski, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2020) Vol. 102, pp. 109959-109959
Closed Access | Times Cited: 26
Psychotic disorders, dopaminergic agents and EEG/MEG resting-state functional connectivity: A systematic review
Amatya Mackintosh, Renate de Bock, Zehwi Lim, et al.
Neuroscience & Biobehavioral Reviews (2020) Vol. 120, pp. 354-371
Closed Access | Times Cited: 25
Novel dynamic residue network analysis approaches to study allosteric modulation: SARS-CoV-2 Mpro and its evolutionary mutations as a case study
Olivier Sheik Amamuddy, Rita Afriyie Boateng, Victor Barozi, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 6431-6455
Open Access | Times Cited: 22
3D convolutional neural network for schizophrenia detection using as EEG-based functional brain network
Mingkan Shen, Peng Wen, Bo Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105815-105815
Open Access | Times Cited: 7
Evaluation of the diagnostic accuracy of MRI in detection of knee cartilage lesions using Receiver Operating Characteristic curves
Przemysław Krakowski, Robert Karpiński, Ryszard Maciejewski, et al.
Journal of Physics Conference Series (2021) Vol. 1736, Iss. 1, pp. 012028-012028
Open Access | Times Cited: 16
Lower Socioeconomic Position Is Associated with Greater Activity in and Integration within an Allostatic-Interoceptive Brain Network in Response to Affective Stimuli
Gabriella Alvarez, Marc D. Rudolph, Jessica R. Cohen, et al.
Journal of Cognitive Neuroscience (2022) Vol. 34, Iss. 10, pp. 1906-1927
Closed Access | Times Cited: 10
Disentangling age‐ and disease‐related alterations in schizophrenia brain network using structural equation modeling: A graph theoretical study based on minimum spanning tree
Xinyu Liu, Hang Yang, Benjamin Becker, et al.
Human Brain Mapping (2021) Vol. 42, Iss. 10, pp. 3023-3041
Open Access | Times Cited: 14
Exploring neural heterogeneity in inattention and hyperactivity
Natalia Zdorovtsova, Jonathan Spencer Jones, Danyal Akarca, et al.
Cortex (2023) Vol. 164, pp. 90-111
Open Access | Times Cited: 5
The impact of temporal lobe epilepsy surgery on picture naming and its relationship to network metric change
Lawrence P. Binding, Peter N. Taylor, Aidan G. O’Keeffe, et al.
NeuroImage Clinical (2023) Vol. 38, pp. 103444-103444
Open Access | Times Cited: 5
Resting-state functional brain connectivity predicts cognitive performance: An exploratory study on a time-based prospective memory task
Andrea Zangrossi, Giovanni Zanzotto, Fabio Lorenzoni, et al.
Behavioural Brain Research (2021) Vol. 402, pp. 113130-113130
Open Access | Times Cited: 12
Macroscale EEG characteristics in antipsychotic-naïve patients with first-episode psychosis and healthy controls
Livia Dominicus, Bob Oranje, Wim Otte, et al.
Schizophrenia (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 4
Niacin Skin Flush Backs—From the Roots of the Test to Nowadays Hope
Ryszard Sitarz, Dariusz Juchnowicz, Kaja Karakuła, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 5, pp. 1879-1879
Open Access | Times Cited: 4
Alterations in the hub structure of whole‐brain functional networks in patients with drug‐naïve schizophrenia: Insights from electroencephalography‐based research
Tomoaki Ishibashi, Sou Nobukawa, Mayuna Tobe, et al.
Psychiatry and Clinical Neurosciences Reports (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 1
PREDICTING STATES OF EPILEPSY PATIENTS USING DEEP LEARNING MODELS
Boutkhil Sidaoui
Applied Computer Science (2024) Vol. 20, Iss. 2, pp. 109-125
Open Access | Times Cited: 1
A preliminary study on the use of EEMD-RQA algorithms in the detection of degenerative changes in knee joints
Józef Jonak, Robert Karpiński, Anna Machrowska, et al.
IOP Conference Series Materials Science and Engineering (2019) Vol. 710, Iss. 1, pp. 012037-012037
Open Access | Times Cited: 10
Aberrant Structural Network Architecture in Leber’s Hereditary Optic Neuropathy. Minimum Spanning Tree Graph Analysis Application into Diffusion 7T MRI
Kamil Jonak, Paweł Krukow, Hanna Karakuła‐Juchnowicz, et al.
Neuroscience (2020) Vol. 455, pp. 128-140
Closed Access | Times Cited: 7
Resting-State Brain Network Deficits in Multiple Sclerosis Participants: Evidence from Electroencephalography and Graph Theoretical Analysis
Mojtaba Jouzizadeh, Amir Ghaderi, Hamed Cheraghmakani, et al.
Brain Connectivity (2021) Vol. 11, Iss. 5, pp. 359-367
Closed Access | Times Cited: 6
Minimum spanning tree analysis of EEG resting-state functional networks in schizophrenia
Melinda Becske, Csilla Marosi, Hajnalka Molnár, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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