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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:

Dissociating frontoparietal brain networks with neuroadaptive Bayesian optimization
Romy Lorenz, Inês R. Violante, Ricardo Pio Monti, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Bayesian Optimization for Adaptive Experimental Design: A Review
Stewart Greenhill, Santu Rana, Sunil Gupta, et al.
IEEE Access (2020) Vol. 8, pp. 13937-13948
Open Access | Times Cited: 338
A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex
Moataz Assem, Matthew F. Glasser, David C. Van Essen, et al.
Cerebral Cortex (2020) Vol. 30, Iss. 8, pp. 4361-4380
Open Access | Times Cited: 288
A guided multiverse study of neuroimaging analyses
Jessica Dafflon, Pedro F. da Costa, František Váša, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 52
Effects of reducing sedentary behaviour by increasing physical activity, on cognitive function, brain function and structure across the lifespan: a systematic review and meta-analysis
Natan Feter, Tomasz S. Ligeza, Neha Bashir, et al.
British Journal of Sports Medicine (2024) Vol. 58, Iss. 21, pp. 1295-1306
Closed Access | Times Cited: 8
Dynamic network coding of working-memory domains and working-memory processes
Eyal Soreq, Robert Leech, Adam Hampshire
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 61
Efficiently searching through large tACS parameter spaces using closed-loop Bayesian optimization
Romy Lorenz, Laura E. Simmons, Ricardo Pio Monti, et al.
Brain stimulation (2019) Vol. 12, Iss. 6, pp. 1484-1489
Open Access | Times Cited: 56
Distinct patterns of structural damage underlie working memory and reasoning deficits after traumatic brain injury
Amy Jolly, Gregory Scott, David Sharp, et al.
Brain (2020) Vol. 143, Iss. 4, pp. 1158-1176
Open Access | Times Cited: 53
Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late-Life Depression
Jason A. Gandelman, Kimberly Albert, Brian D. Boyd, et al.
Biological Psychiatry Cognitive Neuroscience and Neuroimaging (2018) Vol. 4, Iss. 2, pp. 160-170
Open Access | Times Cited: 51
Exploring distinct default mode and semantic networks using a systematic ICA approach
Rebecca L. Jackson, Lauren Cloutman, Matthew A. Lambon Ralph
Cortex (2019) Vol. 113, pp. 279-297
Open Access | Times Cited: 51
Reproducibility of amygdala activation in facial emotion processing at 7T
Nicole Geissberger, Martin Tik, Ronald Sladky, et al.
NeuroImage (2020) Vol. 211, pp. 116585-116585
Open Access | Times Cited: 42
Editorial perspective: Leaving the baby in the bathwater in neurodevelopmental research
Sam Wass, Emily J. H. Jones
Journal of Child Psychology and Psychiatry (2023) Vol. 64, Iss. 8, pp. 1256-1259
Open Access | Times Cited: 13
Mapping cognition across lab and daily life using Experience-Sampling
Louis Chitiz, Brontë Mckeown, Bridget Mulholland, et al.
Consciousness and Cognition (2025) Vol. 131, pp. 103853-103853
Open Access
Relay and higher-order thalamic nuclei show an intertwined functional association with cortical-networks
Vinod Jangir Kumar, Christian F. Beckmann, Klaus Scheffler, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 18
Chemically-informed data-driven optimization (ChIDDO): leveraging physical models and Bayesian learning to accelerate chemical research
Daniel Frey, Ju Hee Shin, Christopher Musco, et al.
Reaction Chemistry & Engineering (2022) Vol. 7, Iss. 4, pp. 855-865
Open Access | Times Cited: 16
Planning ahead: Predictable switching recruits task‐active and resting‐state networks
Danielle L. Kurtin, Garazi Araña‐Oiarbide, Romy Lorenz, et al.
Human Brain Mapping (2023) Vol. 44, Iss. 15, pp. 5030-5046
Open Access | Times Cited: 10
Frontoparietal network homogeneity as a biomarker for mania and remitted bipolar disorder and a predictor of early treatment response in bipolar mania patient
Yujun Gao, Xin Guo, Sanwang Wang, et al.
Journal of Affective Disorders (2023) Vol. 339, pp. 486-494
Open Access | Times Cited: 9
Neurofeedback helps to reveal a relationship between context reinstatement and memory retrieval
Megan T. deBettencourt, Nicholas B. Turk‐Browne, Kenneth A. Norman
NeuroImage (2019) Vol. 200, pp. 292-301
Open Access | Times Cited: 29
Emotion Recognition From Multimodal Physiological Signals via Discriminative Correlation Fusion With a Temporal Alignment Mechanism
Kechen Hou, Xiaowei Zhang, Yikun Yang, et al.
IEEE Transactions on Cybernetics (2023) Vol. 54, Iss. 5, pp. 3079-3092
Closed Access | Times Cited: 8
Interpretable brain age prediction using linear latent variable models of functional connectivity
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0232296-e0232296
Open Access | Times Cited: 23
A Bayesian optimization approach for rapidly mapping residual network function in stroke
Romy Lorenz, Michelle Johal, Frederic Dick, et al.
Brain (2021) Vol. 144, Iss. 7, pp. 2120-2134
Open Access | Times Cited: 19
Behavioral Studies Using Large-Scale Brain Networks – Methods and Validations
Mengting Liu, Rachel C. Amey, Robert Backer, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 13
Neuroadaptive Bayesian optimisation can allow integrative design spaces at the individual level in the social and behavioural sciences… and beyond
Rianne Haartsen, Anna Gui, Emily J. H. Jones
Behavioral and Brain Sciences (2024) Vol. 47
Open Access | Times Cited: 2
Neuroadaptive Bayesian optimisation to study individual differences in infants’ engagement with social cues
Anna Gui, Elena Throm, Pedro F. da Costa, et al.
Developmental Cognitive Neuroscience (2024) Vol. 68, pp. 101401-101401
Open Access | Times Cited: 2
Working memory enhancement using real-time phase-tuned transcranial alternating current stimulation
David Haslacher, Alessia Cavallo, Philipp Reber, et al.
Brain stimulation (2024) Vol. 17, Iss. 4, pp. 850-859
Open Access | Times Cited: 2
Leveraging Artificial Intelligence to Optimize Transcranial Direct Current Stimulation for Long COVID Management: A Forward-Looking Perspective
Thorsten Rudroff, Oona Rainio, Riku Klén
Brain Sciences (2024) Vol. 14, Iss. 8, pp. 831-831
Open Access | Times Cited: 2
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