OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Dynamic connectivity states estimated from resting fMRI Identify differences among Schizophrenia, bipolar disorder, and healthy control subjects
Barnaly Rashid, Eswar Damaraju, Godfrey D. Pearlson, et al.
Frontiers in Human Neuroscience (2014) Vol. 8
Open Access | Times Cited: 403

Showing 1-25 of 403 citing articles:

The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Vince D. Calhoun, Robyn L. Miller, Godfrey D. Pearlson, et al.
Neuron (2014) Vol. 84, Iss. 2, pp. 262-274
Open Access | Times Cited: 1305

The dynamic functional connectome: State-of-the-art and perspectives
Maria Giulia Preti, Thomas A. W. Bolton, Dimitri Van De Ville
NeuroImage (2016) Vol. 160, pp. 41-54
Open Access | Times Cited: 1293

Dynamic Resting-State Functional Connectivity in Major Depression
Roselinde H. Kaiser, Susan Whitfield‐Gabrieli, Daniel G. Dillon, et al.
Neuropsychopharmacology (2015) Vol. 41, Iss. 7, pp. 1822-1830
Open Access | Times Cited: 377

Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity
Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, et al.
NeuroImage (2016) Vol. 134, pp. 645-657
Open Access | Times Cited: 346

NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Yuhui Du, Zening Fu, Jing Sui, et al.
NeuroImage Clinical (2020) Vol. 28, pp. 102375-102375
Open Access | Times Cited: 332

Dynamic functional network connectivity in idiopathic generalized epilepsy with generalized tonic-clonic seizure
Feng Liu, Yifeng Wang, Meiling Li, et al.
Human Brain Mapping (2016) Vol. 38, Iss. 2, pp. 957-973
Open Access | Times Cited: 321

Benchmarking functional connectome-based predictive models for resting-state fMRI
Kamalaker Dadi, Mehdi Rahim, Alexandre Abraham, et al.
NeuroImage (2019) Vol. 192, pp. 115-134
Open Access | Times Cited: 311

Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but Challenging
Yuhui Du, Zening Fu, Vince D. Calhoun
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 302

Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks
Richard F. Betzel, Makoto Fukushima, Ye He, et al.
NeuroImage (2015) Vol. 127, pp. 287-297
Open Access | Times Cited: 262

Interpreting temporal fluctuations in resting-state functional connectivity MRI
Raphaël Liégeois, Timothy O. Laumann, Abraham Z. Snyder, et al.
NeuroImage (2017) Vol. 163, pp. 437-455
Open Access | Times Cited: 256

Dynamic functional connectivity of neurocognitive networks in children
Hilary A. Marusak, Vince D. Calhoun, Suzanne Brown, et al.
Human Brain Mapping (2016) Vol. 38, Iss. 1, pp. 97-108
Open Access | Times Cited: 233

Towards a new approach to reveal dynamical organization of the brain using topological data analysis
Manish Saggar, Olaf Sporns, Javier González-Castillo, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 227

Interaction among subsystems within default mode network diminished in schizophrenia patients: A dynamic connectivity approach
Yuhui Du, Godfrey D. Pearlson, Qingbao Yu, et al.
Schizophrenia Research (2015) Vol. 170, Iss. 1, pp. 55-65
Open Access | Times Cited: 212

Dynamic functional connectivity reveals altered variability in functional connectivity among patients with major depressive disorder
Murat Demirtaş, Cristian Tornador, Carles Falcón, et al.
Human Brain Mapping (2016) Vol. 37, Iss. 8, pp. 2918-2930
Open Access | Times Cited: 208

Replicability of time-varying connectivity patterns in large resting state fMRI samples
Anees Abrol, Eswar Damaraju, Robyn L. Miller, et al.
NeuroImage (2017) Vol. 163, pp. 160-176
Open Access | Times Cited: 200

Instability of default mode network connectivity in major depression: a two-sample confirmation study
Toby Wise, Lindsey Marwood, Adam M. Perkins, et al.
Translational Psychiatry (2017) Vol. 7, Iss. 4, pp. e1105-e1105
Open Access | Times Cited: 197

Chronnectome fingerprinting: Identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns
Jin Liu, Xuhong Liao, Mingrui Xia, et al.
Human Brain Mapping (2017) Vol. 39, Iss. 2, pp. 902-915
Open Access | Times Cited: 197

Machine learning in resting-state fMRI analysis
Meenakshi Khosla, Keith Jamison, Gia H. Ngo, et al.
Magnetic Resonance Imaging (2019) Vol. 64, pp. 101-121
Open Access | Times Cited: 191

Comparing test-retest reliability of dynamic functional connectivity methods
Ann S. Choe, Mary Beth Nebel, Anita D. Barber, et al.
NeuroImage (2017) Vol. 158, pp. 155-175
Open Access | Times Cited: 190

A comprehensive analysis of resting state fMRI measures to classify individual patients with Alzheimer's disease
Frank de Vos, Marisa Koini, Tijn M. Schouten, et al.
NeuroImage (2017) Vol. 167, pp. 62-72
Open Access | Times Cited: 184

3D-Deep Learning Based Automatic Diagnosis of Alzheimer’s Disease with Joint MMSE Prediction Using Resting-State fMRI
Nguyen Thanh Duc, Seungjun Ryu, Muhammad Naveed Iqbal Qureshi, et al.
Neuroinformatics (2019) Vol. 18, Iss. 1, pp. 71-86
Closed Access | Times Cited: 173

Towards a brain‐based predictome of mental illness
Barnaly Rashid, Vince D. Calhoun
Human Brain Mapping (2020) Vol. 41, Iss. 12, pp. 3468-3535
Open Access | Times Cited: 149

Page 1 - Next Page

Scroll to top