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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:

A neuromarker of sustained attention from whole-brain functional connectivity
Monica D. Rosenberg, Emily S. Finn, Dustin Scheinost, et al.
Nature Neuroscience (2015) Vol. 19, Iss. 1, pp. 165-171
Open Access | Times Cited: 999

Showing 26-50 of 999 citing articles:

Movie-watching outperforms rest for functional connectivity-based prediction of behavior
Emily S. Finn, Peter A. Bandettini
NeuroImage (2021) Vol. 235, pp. 117963-117963
Open Access | Times Cited: 209
There is no single functional atlas even for a single individual: Functional parcel definitions change with task
Mehraveh Salehi, Abigail S. Greene, Amin Karbasi, et al.
NeuroImage (2019) Vol. 208, pp. 116366-116366
Open Access | Times Cited: 207
Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging
Philip A. Kragel, Leonie Koban, Lisa Feldman Barrett, et al.
Neuron (2018) Vol. 99, Iss. 2, pp. 257-273
Open Access | Times Cited: 204
Spontaneous eyelid closures link vigilance fluctuation with fMRI dynamic connectivity states
Chenhao Wang, Ju Lynn Ong, Amiya Patanaik, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 34, pp. 9653-9658
Open Access | Times Cited: 198
Topographic organization of the cerebral cortex and brain cartography
Simon B. Eickhoff, R. Todd Constable, B.T. Thomas Yeo
NeuroImage (2017) Vol. 170, pp. 332-347
Open Access | Times Cited: 191
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
Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets
Kwangsun Yoo, Monica D. Rosenberg, Wei-Ting Hsu, et al.
NeuroImage (2017) Vol. 167, pp. 11-22
Open Access | Times Cited: 186
Prediction complements explanation in understanding the developing brain
Monica D. Rosenberg, B. J. Casey, Avram J. Holmes
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 185
Connectome-Based Prediction of Cocaine Abstinence
Sarah W. Yip, Dustin Scheinost, Marc N. Potenza, et al.
American Journal of Psychiatry (2019) Vol. 176, Iss. 2, pp. 156-164
Open Access | Times Cited: 183
Intrinsic Functional Connectivity in Attention-Deficit/Hyperactivity Disorder: A Science in Development
F. Xavier Castellanos, Yuta Aoki
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2016) Vol. 1, Iss. 3, pp. 253-261
Open Access | Times Cited: 179
Resting-state functional connectivity predicts neuroticism and extraversion in novel individuals
Wei-Ting Hsu, Monica D. Rosenberg, Dustin Scheinost, et al.
Social Cognitive and Affective Neuroscience (2018) Vol. 13, Iss. 2, pp. 224-232
Open Access | Times Cited: 179
Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior
Ru Kong, Qing Yang, Evan M. Gordon, et al.
Cerebral Cortex (2021) Vol. 31, Iss. 10, pp. 4477-4500
Open Access | Times Cited: 179
Harmonization of resting-state functional MRI data across multiple imaging sites via the separation of site differences into sampling bias and measurement bias
Ayumu Yamashita, Noriaki Yahata, Takashi Itahashi, et al.
PLoS Biology (2019) Vol. 17, Iss. 4, pp. e3000042-e3000042
Open Access | Times Cited: 163
Functional connectivity predicts changes in attention observed across minutes, days, and months
Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 7, pp. 3797-3807
Open Access | Times Cited: 163
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
How to establish robust brain–behavior relationships without thousands of individuals
Monica D. Rosenberg, Emily S. Finn
Nature Neuroscience (2022) Vol. 25, Iss. 7, pp. 835-837
Closed Access | Times Cited: 146
Toward a unified framework for interpreting machine-learning models in neuroimaging
Lada Kohoutová, Juyeon Heo, Sungmin Cha, et al.
Nature Protocols (2020) Vol. 15, Iss. 4, pp. 1399-1435
Open Access | Times Cited: 144
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
Brain–phenotype models fail for individuals who defy sample stereotypes
Abigail S. Greene, Xilin Shen, Stephanie Noble, et al.
Nature (2022) Vol. 609, Iss. 7925, pp. 109-118
Open Access | Times Cited: 122
High-resolution connectomic fingerprints: Mapping neural identity and behavior
Sina Mansour L., Ye Tian, B.T. Thomas Yeo, et al.
NeuroImage (2021) Vol. 229, pp. 117695-117695
Open Access | Times Cited: 115
Functional MRI Can Be Highly Reliable, but It Depends on What You Measure: A Commentary on Elliott et al. (2020)
Philip A. Kragel, Xiaochun Han, Thomas E. Kraynak, et al.
Psychological Science (2021) Vol. 32, Iss. 4, pp. 622-626
Open Access | Times Cited: 108
A neuromarker for drug and food craving distinguishes drug users from non-users
Leonie Koban, Tor D. Wager, Hedy Kober
Nature Neuroscience (2022) Vol. 26, Iss. 2, pp. 316-325
Open Access | Times Cited: 91
Comparison of individualized behavioral predictions across anatomical, diffusion and functional connectivity MRI
Leon Qi Rong Ooi, Jianzhong Chen, Shaoshi Zhang, et al.
NeuroImage (2022) Vol. 263, pp. 119636-119636
Open Access | Times Cited: 83
Why is everyone talking about brain state?
Abigail S. Greene, Corey Horien, Daniel Barson, et al.
Trends in Neurosciences (2023) Vol. 46, Iss. 7, pp. 508-524
Open Access | Times Cited: 79
Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity
Weiqi Zhao, Carolina Makowski, Donald J. Hagler, et al.
NeuroImage (2023) Vol. 270, pp. 119946-119946
Open Access | Times Cited: 76

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