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:

Predicting learning plateau of working memory from whole-brain intrinsic network connectivity patterns
Masahiro Yamashita, Mitsuo Kawato, Hiroshi Imamizu
Scientific Reports (2015) Vol. 5, Iss. 1
Open Access | Times Cited: 61

Showing 1-25 of 61 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: 268

A mechanistic model of connector hubs, modularity and cognition
Maxwell A. Bertolero, B.T. Thomas Yeo, Danielle S. Bassett, et al.
Nature Human Behaviour (2018) Vol. 2, Iss. 10, pp. 765-777
Open Access | Times Cited: 208

Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Jalil Taghia, Weidong Cai, Srikanth Ryali, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 172

The heritability of multi-modal connectivity in human brain activity
Giles L. Colclough, Stephen M. Smith, Thomas E. Nichols, et al.
eLife (2017) Vol. 6
Open Access | Times Cited: 135

Resting-State Functional Connectivity-Based Biomarkers and Functional MRI-Based Neurofeedback for Psychiatric Disorders: A Challenge for Developing Theranostic Biomarkers
Takashi Yamada, Ryuichiro Hashimoto, Noriaki Yahata, et al.
The International Journal of Neuropsychopharmacology (2017) Vol. 20, Iss. 10, pp. 769-781
Open Access | Times Cited: 119

Measurement of dynamic task related functional networks using MEG
George C. O’Neill, Prejaas Tewarie, Giles L. Colclough, et al.
NeuroImage (2016) Vol. 146, pp. 667-678
Open Access | Times Cited: 115

Quantifying the Test-Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity
Pilar Garcés, María Carmen Martín-Buro, Fernando Maestú
Brain Connectivity (2016) Vol. 6, Iss. 6, pp. 448-460
Closed 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

Reporting details of neuroimaging studies on individual traits prediction: A literature survey
Andy Wai Kan Yeung, Shammi More, Jianxiao Wu, et al.
NeuroImage (2022) Vol. 256, pp. 119275-119275
Open Access | Times Cited: 30

Prediction of long-term memory scores in MCI based on resting-state fMRI
Djalel‐Eddine Meskaldji, Maria Giulia Preti, Thomas A. W. Bolton, et al.
NeuroImage Clinical (2016) Vol. 12, pp. 785-795
Open Access | Times Cited: 56

Long-term brain effects of N-back training: an fMRI study
Anna Miró‐Padilla, Elisenda Bueichekú, Noelia Ventura‐Campos, et al.
Brain Imaging and Behavior (2018) Vol. 13, Iss. 4, pp. 1115-1127
Closed Access | Times Cited: 50

Psychiatric Neural Networks and Precision Therapeutics by Machine Learning
Hidetoshi Komatsu, Emi Watanabe, Mamoru Fukuchi
Biomedicines (2021) Vol. 9, Iss. 4, pp. 403-403
Open Access | Times Cited: 35

Reliability of Static and Dynamic Network Metrics in the Resting-State: A MEG-Beamformed Connectivity Analysis
Stavros I. Dimitriadis, Bethany Routley, David E.J. Linden, et al.
Frontiers in Neuroscience (2018) Vol. 12
Open Access | Times Cited: 41

Dysfunction between dorsal caudate and salience network associated with impaired cognitive flexibility in obsessive-compulsive disorder: A resting-state fMRI study
Hirofumi Tomiyama, Tomohiro Nakao, Keitaro Murayama, et al.
NeuroImage Clinical (2019) Vol. 24, pp. 102004-102004
Open Access | Times Cited: 39

Discovering dynamic task-modulated functional networks with specific spectral modes using MEG
Yongjie Zhu, Jia Liu, Chaoxiong Ye, et al.
NeuroImage (2020) Vol. 218, pp. 116924-116924
Open Access | Times Cited: 28

Locating neural transfer effects of n-back training on the central executive: a longitudinal fMRI study
Anna Miró‐Padilla, Elisenda Bueichekú, César Ávila
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 27

MRI Predictors of Cognitive Training Outcomes
Ebru Baykara, Tanja Könen, Kerstin Unger, et al.
Journal of Cognitive Enhancement (2020) Vol. 5, Iss. 2, pp. 245-258
Open Access | Times Cited: 25

Motor imagery combined with action observation training optimized for individual motor skills further improves motor skills close to a plateau
Toshiyuki Aoyama, Fuminari Kaneko, Yutaka Kohno
Human Movement Science (2020) Vol. 73, pp. 102683-102683
Closed Access | Times Cited: 24

Age-Related Decline of Sensorimotor Integration Influences Resting-State Functional Brain Connectivity
Natsue Yoshimura, Hayato Tsuda, Domenico Aquino, et al.
Brain Sciences (2020) Vol. 10, Iss. 12, pp. 966-966
Open Access | Times Cited: 19

Spontaneous brain oscillations as neural fingerprints of working memory capacities: A resting-state MEG study
Victor Oswald, Younes Zerouali, Aubrée Boulet‐Craig, et al.
Cortex (2017) Vol. 97, pp. 109-124
Closed Access | Times Cited: 21

Activation‐based association profiles differentiate network roles across cognitive loads
Nianming Zuo, Alireza Salami, Yihong Yang, et al.
Human Brain Mapping (2019) Vol. 40, Iss. 9, pp. 2800-2812
Open Access | Times Cited: 19

Dynamics of task-related electrophysiological networks: a benchmarking study
Judie Tabbal, Aya Kabbara, Mohamad Khalil, et al.
NeuroImage (2021) Vol. 231, pp. 117829-117829
Open Access | Times Cited: 13

Both activated and less‐activated regions identified by functional MRI reconfigure to support task executions
Nianming Zuo, Zhengyi Yang, Yong Liu, et al.
Brain and Behavior (2017) Vol. 8, Iss. 1
Open Access | Times Cited: 16

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