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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 roles of supervised machine learning in systems neuroscience
Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, et al.
Progress in Neurobiology (2019) Vol. 175, pp. 126-137
Open Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Support vector regression
Fan Zhang, Lauren J. O’Donnell
Machine learning (2019), pp. 123-140
Closed Access | Times Cited: 533
Machine Learning for Neural Decoding
Joshua I. Glaser, Ari S. Benjamin, Raeed H. Chowdhury, et al.
eNeuro (2020) Vol. 7, Iss. 4, pp. ENEURO.0506-19.2020
Open Access | Times Cited: 220
Supervised learning in spiking neural networks: A review of algorithms and evaluations
Xiangwen Wang, Xianghong Lin, Xiaochao Dang
Neural Networks (2020) Vol. 125, pp. 258-280
Closed Access | Times Cited: 211
Class imbalance should not throw you off balance: Choosing the right classifiers and performance metrics for brain decoding with imbalanced data
Philipp Thölke, Yorguin-José Mantilla-Ramos, Hamza Abdelhedi, et al.
NeuroImage (2023) Vol. 277, pp. 120253-120253
Open Access | Times Cited: 64
Simultaneous, cortex-wide dynamics of up to 1 million neurons reveal unbounded scaling of dimensionality with neuron number
Jason Manley, Sihao Lu, Kevin M. Barber, et al.
Neuron (2024) Vol. 112, Iss. 10, pp. 1694-1709.e5
Closed Access | Times Cited: 25
Current Challenges in Translational and Clinical fMRI and Future Directions
Karsten Specht
Frontiers in Psychiatry (2020) Vol. 10
Open Access | Times Cited: 93
An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding
Sho Nakagome, Trieu Phat Luu, Yongtian He, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 70
Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli
Davide Borra, Francesco Bossi, Davide Rivolta, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 23
Artificial Intelligence in Clinical Neuroscience: Methodological and Ethical Challenges
Marcello Ienca, Karolina Ignatiadis
AJOB Neuroscience (2020) Vol. 11, Iss. 2, pp. 77-87
Closed Access | Times Cited: 53
Scaling up psychology via Scientific Regret Minimization
Mayank Agrawal, Joshua C. Peterson, Thomas L. Griffiths
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 16, pp. 8825-8835
Open Access | Times Cited: 51
A Bibliometric Analysis of Consumer Neuroscience towards Sustainable Consumption
Yan Liu, Rui Zhao, Xin Xiong, et al.
Behavioral Sciences (2023) Vol. 13, Iss. 4, pp. 298-298
Open Access | Times Cited: 17
Transforming medicine: artificial intelligence integration in the peripheral nervous system
Yue Qian, Ahmad Alhaskawi, Yanzhao Dong, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 6
Convolutional neural networks reveal properties of reach-to-grasp encoding in posterior parietal cortex
Davide Borra, Matteo Filippini, Mauro Ursino, et al.
Computers in Biology and Medicine (2024) Vol. 172, pp. 108188-108188
Open Access | Times Cited: 5
Higher-order interactions between hippocampal CA1 neurons are disrupted in amnestic mice
Yan Chen, Valentina Mercaldo, Alexander D. Jacob, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 9, pp. 1794-1804
Closed Access | Times Cited: 5
Are Animal Models Necessary? Exploring (Dis)advantages and Alternatives
Ana Guimarães
European Journal of Neuroscience (2025) Vol. 61, Iss. 1
Open Access
Predicting Psychological Well-being in HCP Young Adult Cohort Using Random Forests Regression and SHAP with NIHTB Emotion Battery
Assunta Pelagi, Chiara Camastra, Andrea Quattrone, et al.
Lecture notes in computer science (2025), pp. 275-289
Closed Access
Neuronal oscillations predict deep brain stimulation outcome in Parkinson's disease
Jan V. Hirschmann, Alexandra Steina, Jan Vesper, et al.
Brain stimulation (2022) Vol. 15, Iss. 3, pp. 792-802
Open Access | Times Cited: 24
Retinal receptive-field substructure: scaffolding for coding and computation
Sören J. Zapp, Steffen Nitsche, Tim Gollisch
Trends in Neurosciences (2022) Vol. 45, Iss. 6, pp. 430-445
Open Access | Times Cited: 22
Perspectives on the application of remote sensing technology in the cultivation of medicinal plants
Liwen Zhong, Xuemei Wu, Rong Ding, et al.
International Journal of Remote Sensing (2025), pp. 1-34
Closed Access
Accessibility to sports performance for greater inclusiveness through robotics and artificial intelligence research
Francesca De Marco, Antonio Brusini
Computer Methods in Biomechanics & Biomedical Engineering (2025), pp. 1-7
Closed Access
Breast Cancer Classification and Proof of Key Artificial Neural Network Terminologies
Nisar Ali, Shahab U. Ansari, Zahid Halim, et al.
2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS) (2019), pp. 1-6
Closed Access | Times Cited: 41
Using machine learning to explain the heterogeneity of schizophrenia. Realizing the promise and avoiding the hype
Neeraj Tandon, Rajiv Tandon
Schizophrenia Research (2019) Vol. 214, pp. 70-75
Closed Access | Times Cited: 36
Conditional recurrent neural networks for broad applications in nonlinear optics
Simone Lauria, Mohammed F. Saleh
Optics Express (2024) Vol. 32, Iss. 4, pp. 5582-5582
Open Access | Times Cited: 3
A Machine Learning Study of Anxiety-related Symptoms and Error-related Brain Activity
Anna Grabowska, Filip Sondej, Magdalena Senderecka
Journal of Cognitive Neuroscience (2024), pp. 1-26
Open Access | Times Cited: 3
System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning
Zichen Wang, Jing Yu, Muyue Zhai, et al.
Cell Research (2024) Vol. 34, Iss. 7, pp. 493-503
Open Access | Times Cited: 3
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