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 Shared Vision for Machine Learning in Neuroscience
Mai-Anh Vu, Tülay Adalı, Demba Ba, et al.
Journal of Neuroscience (2018) Vol. 38, Iss. 7, pp. 1601-1607
Open Access | Times Cited: 182

Showing 26-50 of 182 citing articles:

Improving Classification Performance for a Novel Imbalanced Medical Dataset using SMOTE Method
Ahmed Jameel Mohammed
International Journal of Advanced Trends in Computer Science and Engineering (2020) Vol. 9, Iss. 3, pp. 3161-3172
Open Access | Times Cited: 59

Voice Analysis with Machine Learning: One Step Closer to an Objective Diagnosis of Essential Tremor
Antonio Suppa, Francesco Asci, Giovanni Saggio, et al.
Movement Disorders (2021) Vol. 36, Iss. 6, pp. 1401-1410
Closed Access | Times Cited: 43

NeuralSens: Sensitivity Analysis of Neural Networks
Jaime Pizarroso, José Portela, Antonio Muñoz San Roque
Journal of Statistical Software (2022) Vol. 102, Iss. 7
Open Access | Times Cited: 35

Brain-wide electrical dynamics encode individual appetitive social behavior
Stephen D. Mague, Austin Talbot, Cameron Blount, et al.
Neuron (2022) Vol. 110, Iss. 10, pp. 1728-1741.e7
Open Access | Times Cited: 35

The Self and its Disorders
Shaun Gallagher
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 21

Interpretability of Machine Learning: Recent Advances and Future Prospects
Lei Gao, Ling Guan
IEEE Multimedia (2023) Vol. 30, Iss. 4, pp. 105-118
Open Access | Times Cited: 20

The Neuroscience of Spatial Navigation and the Relationship to Artificial Intelligence
Edgar Bermudez-Contreras, Benjamin J. Clark, Aaron A. Wilber
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 43

Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists
Adrienne Grzenda, Nina V. Kraguljac, William M. McDonald, et al.
American Journal of Psychiatry (2021) Vol. 178, Iss. 8, pp. 715-729
Closed Access | Times Cited: 39

From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
Antonio Luca Alfeo, Antonio G. Zippo, Vincenzo Catrambone, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 236, pp. 107550-107550
Open Access | Times Cited: 16

Through their eyes: Multi-subject brain decoding with simple alignment techniques
Matteo Ferrante, Tommaso Boccato, Furkan Özçelik, et al.
Imaging Neuroscience (2024) Vol. 2, pp. 1-21
Open Access | Times Cited: 5

Narcissus reflected: Grey and white matter features joint contribution to the default mode network in predicting narcissistic personality traits
Khanitin Jornkokgoud, Teresa Baggio, Richard Bakiaj, et al.
European Journal of Neuroscience (2024) Vol. 59, Iss. 12, pp. 3273-3291
Closed Access | Times Cited: 5

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

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience
Emily J. Allen, Ghislain St-Yves, Yihan Wu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 31

Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations
Manisha Sinha, Rishikesh Narayanan
Neuroscience (2021) Vol. 489, pp. 111-142
Open Access | Times Cited: 28

Are Animal Models Necessary? Exploring (Dis)advantages and Alternatives
Ana Guimarães
European Journal of Neuroscience (2025) Vol. 61, Iss. 1
Open Access

Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach
Eloise de Oliveira Lima, José Maurício Ramos de Souza Neto, Francisco Enrique Vicente Castro, et al.
Brain Topography (2025) Vol. 38, Iss. 2
Closed Access

Statistical Machine-Learning Methods to Model Brain Plasticity
Pablo Robles-Granda, Aron K. Barbey, Oluwasanmi Koyejo
Oxford University Press eBooks (2025)
Closed Access

Evaluating the Machine Learning Literature: A Primer and User’s Guide for Psychiatrists
Adrienne Grzenda, Nina V. Kraguljac, William M. McDonald, et al.
FOCUS The Journal of Lifelong Learning in Psychiatry (2025) Vol. 23, Iss. 2, pp. 270-284
Closed Access

Graph-informed convolutional autoencoder to classify brain responses during sleep
Sahar Zakeri, Somayeh Makouei, Sebelan Danishvar
Frontiers in Neuroscience (2025) Vol. 19
Open Access

Melancholy, anhedonia, apathy: the search for separable behaviors and neural circuits in depression
Ryan J. Post, Melissa R. Warden
Current Opinion in Neurobiology (2018) Vol. 49, pp. 192-200
Open Access | Times Cited: 34

Functional Neuroimaging in the New Era of Big Data
Xiang Li, Ning Guo, Quanzheng Li
Genomics Proteomics & Bioinformatics (2019) Vol. 17, Iss. 4, pp. 393-401
Open Access | Times Cited: 34

Predicting reading ability from brain anatomy and function: From areas to connections
Daniel Kristanto, Mianxin Liu, Xinyang Liu, et al.
NeuroImage (2020) Vol. 218, pp. 116966-116966
Open Access | Times Cited: 30

Whole-brain interactions underlying zebrafish behavior
Matthew D. Loring, Eric E. Thomson, Eva A Naumann
Current Opinion in Neurobiology (2020) Vol. 65, pp. 88-99
Open Access | Times Cited: 28

Taming the chaos?! Using eXplainable Artificial Intelligence (XAI) to tackle the complexity in mental health research
Veit Roessner, Josefine Rothe, Gregor Kohls, et al.
European Child & Adolescent Psychiatry (2021) Vol. 30, Iss. 8, pp. 1143-1146
Open Access | Times Cited: 26

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