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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:

The Functional Brain Organization of an Individual Allows Prediction of Measures of Social Abilities Transdiagnostically in Autism and Attention-Deficit/Hyperactivity Disorder
Evelyn M. R. Lake, Emily S. Finn, Stephanie Noble, et al.
Biological Psychiatry (2019) Vol. 86, Iss. 4, pp. 315-326
Open Access | Times Cited: 116

Showing 1-25 of 116 citing articles:

Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises
Jing Sui, Rongtao Jiang, Juan Bustillo, et al.
Biological Psychiatry (2020) Vol. 88, Iss. 11, pp. 818-828
Open Access | Times Cited: 267
Is it time to put rest to rest?
Emily S. Finn
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 12, pp. 1021-1032
Open Access | Times Cited: 183
Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study
Jianzhong Chen, Angela Tam, Valeria Kebets, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 159
The normative modeling framework for computational psychiatry
Saige Rutherford, Seyed Mostafa Kia, Thomas Wolfers, et al.
Nature Protocols (2022) Vol. 17, Iss. 7, pp. 1711-1734
Closed Access | Times Cited: 140
Autism Detection of MRI Brain Images Using Hybrid Deep CNN With DM-Resnet Classifier
Shweta Jain, Hrudaya Kumar Tripathy, Saurav Mallik, et al.
IEEE Access (2023) Vol. 11, pp. 117741-117751
Open Access | Times Cited: 43
Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships
Rongtao Jiang, Nianming Zuo, Judith M. Ford, et al.
NeuroImage (2019) Vol. 207, pp. 116370-116370
Open Access | Times Cited: 132
A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHD
Kanhao Zhao, Boris Duka, Hua Xie, et al.
NeuroImage (2021) Vol. 246, pp. 118774-118774
Open Access | Times Cited: 90
A prediction model of working memory across health and psychiatric disease using whole-brain functional connectivity
Masahiro Yamashita, Yujiro Yoshihara, Ryuichiro Hashimoto, et al.
eLife (2018) Vol. 7
Open Access | Times Cited: 85
Beyond fingerprinting: Choosing predictive connectomes over reliable connectomes
Emily S. Finn, Monica D. Rosenberg
NeuroImage (2021) Vol. 239, pp. 118254-118254
Open Access | Times Cited: 78
Whole Brain White Matter Tract Deviation and Idiosyncrasy From Normative Development in Autism and ADHD and Unaffected Siblings Link With Dimensions of Psychopathology and Cognition
Yu-Hung Tung, Hsiang‐Yuan Lin, Chang‐Le Chen, et al.
American Journal of Psychiatry (2021) Vol. 178, Iss. 8, pp. 730-743
Closed Access | Times Cited: 58
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Stephanie Noble, Amanda F. Mejia, Andrew Zalesky, et al.
Proceedings of the National Academy of Sciences (2022) Vol. 119, Iss. 32
Open Access | Times Cited: 50
Predicting the future of neuroimaging predictive models in mental health
Link Tejavibulya, Max Rolison, Siyuan Gao, et al.
Molecular Psychiatry (2022) Vol. 27, Iss. 8, pp. 3129-3137
Open Access | Times Cited: 38
What is the best brain state to predict autistic traits?
Corey Horien, Francesca Mandino, Abigail S. Greene, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access | Times Cited: 1
Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research
Sarah W. Yip, Brian D. Kiluk, Dustin Scheinost
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2019) Vol. 5, Iss. 8, pp. 748-758
Open Access | Times Cited: 65
Boost in Test–Retest Reliability in Resting State fMRI with Predictive Modeling
Aman Taxali, Mike Angstadt, Saige Rutherford, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 6, pp. 2822-2833
Open Access | Times Cited: 60
A hitchhiker’s guide to working with large, open-source neuroimaging datasets
Corey Horien, Stephanie Noble, Abigail S. Greene, et al.
Nature Human Behaviour (2020) Vol. 5, Iss. 2, pp. 185-193
Open Access | Times Cited: 56
Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders
Daniel S. Barron, Siyuan Gao, Javid Dadashkarimi, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 5, pp. 2523-2533
Open Access | Times Cited: 56
Connectome-based models can predict early symptom improvement in major depressive disorder
Yumeng Ju, Corey Horien, Wentao Chen, et al.
Journal of Affective Disorders (2020) Vol. 273, pp. 442-452
Closed Access | Times Cited: 50
Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth
Dustin Scheinost, Javid Dadashkarimi, Emily S. Finn, et al.
Neuropsychopharmacology (2021) Vol. 46, Iss. 7, pp. 1300-1306
Open Access | Times Cited: 44
Person-specific and precision neuroimaging: Current methods and future directions
Katherine J. Michon, Dalia Khammash, Molly Simmonite, et al.
NeuroImage (2022) Vol. 263, pp. 119589-119589
Open Access | Times Cited: 35
COVID‐19 vicarious traumatization links functional connectome to general distress
Xueling Suo, Chao Zuo, Huan Lan, et al.
NeuroImage (2022) Vol. 255, pp. 119185-119185
Open Access | Times Cited: 33
Functional Connectome–Based Predictive Modeling in Autism
Corey Horien, Dorothea L. Floris, Abigail S. Greene, et al.
Biological Psychiatry (2022) Vol. 92, Iss. 8, pp. 626-642
Open Access | Times Cited: 32
Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder?
Mary Beth Nebel, Daniel E. Lidstone, Liwei Wang, et al.
NeuroImage (2022) Vol. 257, pp. 119296-119296
Open Access | Times Cited: 28
Multimodal brain connectome-based prediction of suicide risk in people with late-life depression
Mengxia Gao, Nichol M. L. Wong, Chemin Lin, et al.
Nature Mental Health (2023) Vol. 1, Iss. 2, pp. 100-113
Open Access | Times Cited: 17
Use of eye tracking to improve the identification of attention-deficit/hyperactivity disorder in children
Dong Yun Lee, Yunmi Shin, Rae Woong Park, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 16
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