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:

Covert neurofeedback without awareness shapes cortical network spontaneous connectivity
Michal Ramot, Shany Grossman, Doron Friedman, et al.
Proceedings of the National Academy of Sciences (2016) Vol. 113, Iss. 17
Open Access | Times Cited: 110

Showing 1-25 of 110 citing articles:

Closed-loop brain training: the science of neurofeedback
Ranganatha Sitaram, Tomas Ros, Luke E. Stoeckel, et al.
Nature reviews. Neuroscience (2016) Vol. 18, Iss. 2, pp. 86-100
Closed Access | Times Cited: 1107

Neurofeedback with fMRI: A critical systematic review
Robert T. Thibault, Amanda MacPherson, Michael Lifshitz, et al.
NeuroImage (2017) Vol. 172, pp. 786-807
Open Access | Times Cited: 301

Advances in fMRI Real-Time Neurofeedback
Takeo Watanabe, Yuka Sasaki, Kazuhisa Shibata, et al.
Trends in Cognitive Sciences (2017) Vol. 21, Iss. 12, pp. 997-1010
Open Access | Times Cited: 235

Computational approaches to fMRI analysis
Jonathan D. Cohen, Nathaniel D. Daw, Barbara E. Engelhardt, et al.
Nature Neuroscience (2017) Vol. 20, Iss. 3, pp. 304-313
Open Access | Times Cited: 231

Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback
Michal Ramot, Sara Kimmich, Javier González-Castillo, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 123

Current progress in real-time functional magnetic resonance-based neurofeedback: Methodological challenges and achievements
Christian Paret, Noam Goldway, Catharina Zich, et al.
NeuroImage (2019) Vol. 202, pp. 116107-116107
Open Access | Times Cited: 105

Toward a comprehensive understanding of the neural mechanisms of decoded neurofeedback
Kazuhisa Shibata, Giuseppe Lisi, Aurelio Cortese, et al.
NeuroImage (2018) Vol. 188, pp. 539-556
Open Access | Times Cited: 98

Process-based framework for precise neuromodulation
Nitzan Lubianiker, Noam Goldway, Tom Fruchtman-Steinbok, et al.
Nature Human Behaviour (2019) Vol. 3, Iss. 5, pp. 436-445
Closed Access | Times Cited: 77

Neurofeedback through the lens of reinforcement learning
Nitzan Lubianiker, Christian Paret, Peter Dayan, et al.
Trends in Neurosciences (2022) Vol. 45, Iss. 8, pp. 579-593
Closed Access | Times Cited: 40

The potential of real-time fMRI neurofeedback for stroke rehabilitation: A systematic review
Tianlu Wang, Dante Mantini, Céline R. Gillebert
Cortex (2017) Vol. 107, pp. 148-165
Open Access | Times Cited: 84

A Guide to Literature Informed Decisions in the Design of Real Time fMRI Neurofeedback Studies: A Systematic Review
Samantha J. Fede, Sarah Dean, Thushini Manuweera, et al.
Frontiers in Human Neuroscience (2020) Vol. 14
Open Access | Times Cited: 58

Success and failure of controlling the real‐time functional magnetic resonance imaging neurofeedback signal are reflected in the striatum
Léon Skottnik, Bettina Sorger, Tabea Kamp, et al.
Brain and Behavior (2019) Vol. 9, Iss. 3
Open Access | Times Cited: 57

Predictors of real-time fMRI neurofeedback performance and improvement – A machine learning mega-analysis
Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson, et al.
NeuroImage (2021) Vol. 237, pp. 118207-118207
Open Access | Times Cited: 46

Self-regulation strategy, feedback timing and hemodynamic properties modulate learning in a simulated fMRI neurofeedback environment
Ethan Oblak, Jarrod A. Lewis‐Peacock, James Sulzer
PLoS Computational Biology (2017) Vol. 13, Iss. 7, pp. e1005681-e1005681
Open Access | Times Cited: 60

Decoded fMRI neurofeedback can induce bidirectional confidence changes within single participants
Aurelio Cortese, Kaoru Amano, Ai Koizumi, et al.
NeuroImage (2017) Vol. 149, pp. 323-337
Open Access | Times Cited: 53

Monitoring and control of amygdala neurofeedback involves distributed information processing in the human brain
Christian Paret, Jenny Zähringer, Matthias Ruf, et al.
Human Brain Mapping (2018) Vol. 39, Iss. 7, pp. 3018-3031
Open Access | Times Cited: 52

Mindfulness Improves Brain–Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band
James Stieger, Stephen A. Engel, Haiteng Jiang, et al.
Cerebral Cortex (2020) Vol. 31, Iss. 1, pp. 426-438
Open Access | Times Cited: 45

Mediation analysis of triple networks revealed functional feature of mindfulness from real-time fMRI neurofeedback
Hyun‐Chul Kim, Marion Tegethoff, Gunther Meinlschmidt, et al.
NeuroImage (2019) Vol. 195, pp. 409-432
Closed Access | Times Cited: 43

Delineating implicit and explicit processes in neurofeedback learning
Santiago Muñoz-Moldes, Axel Cleeremans
Neuroscience & Biobehavioral Reviews (2020) Vol. 118, pp. 681-688
Open Access | Times Cited: 41

Can we predict real‐time fMRI neurofeedback learning success from pretraining brain activity?
Amelie Haugg, Ronald Sladky, Stavros Skouras, et al.
Human Brain Mapping (2020) Vol. 41, Iss. 14, pp. 3839-3854
Open Access | Times Cited: 40

Local neuronal relational structures underlying the contents of human conscious experience
Rafael Malach
Neuroscience of Consciousness (2021) Vol. 2021, Iss. 2
Open Access | Times Cited: 34

Real-Time Functional MRI in the Treatment of Mental Health Disorders
Vincent Taschereau‐Dumouchel, Cody A. Cushing, Hakwan Lau
Annual Review of Clinical Psychology (2022) Vol. 18, Iss. 1, pp. 125-154
Closed Access | Times Cited: 26

Closed-loop neuromodulation for studying spontaneous activity and causality
Michal Ramot, Alex Martin
Trends in Cognitive Sciences (2022) Vol. 26, Iss. 4, pp. 290-299
Open Access | Times Cited: 23

The emergent property of inhibitory control: implications of intermittent network-based fNIRS neurofeedback training
Lingwei Zeng, L L Gai, Kewei Sun, et al.
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access

Enhancing creativity with covert neurofeedback: causal evidence for default-executive network coupling in creative thinking
Simone Luchini, X Zhang, Roberta F. White, et al.
Cerebral Cortex (2025) Vol. 35, Iss. 4
Closed Access

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