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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:

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 1-25 of 182 citing articles:

Definitions, methods, and applications in interpretable machine learning
William J. Murdoch, Chandan Singh, Karl Kumbier, et al.
Proceedings of the National Academy of Sciences (2019) Vol. 116, Iss. 44, pp. 22071-22080
Open Access | Times Cited: 1610
Explainable artificial intelligence: an analytical review
Plamen Angelov, Eduardo Soares, Richard Jiang, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2021) Vol. 11, Iss. 5
Open Access | Times Cited: 511
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences
Mark Alber, Adrián Buganza Tepole, William R. Cannon, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 500
Multiscale Modeling Meets Machine Learning: What Can We Learn?
Grace C. Y. Peng, Mark Alber, Adrián Buganza Tepole, et al.
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1017-1037
Open Access | Times Cited: 270
Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
Khansa Rasheed, Adnan Qayyum, Junaid Qadir, et al.
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 139-155
Open Access | Times Cited: 258
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan, Clinton Fookes
Lecture notes in mathematics (2020), pp. 45-87
Closed Access | Times Cited: 148
Explainable Artificial Intelligence (XAI): Concepts and Challenges in Healthcare
Tim Hulsen
AI (2023) Vol. 4, Iss. 3, pp. 652-666
Open Access | Times Cited: 103
Explainable artificial intelligence for mental health through transparency and interpretability for understandability
Dan W. Joyce, Andrey Kormilitzin, Katharine Smith, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 94
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience
Nastacia L. Goodwin, Jia Jie Choong, Sophia Hwang, et al.
Nature Neuroscience (2024) Vol. 27, Iss. 7, pp. 1411-1424
Closed Access | Times Cited: 68
Neuroscience Needs Network Science
Dániel L. Barabási, Ginestra Bianconi, Edward T. Bullmore, et al.
Journal of Neuroscience (2023) Vol. 43, Iss. 34, pp. 5989-5995
Open Access | Times Cited: 56
Materials genome engineering accelerates the research and development of organic and perovskite photovoltaics
Ying Shang, Ziyu Xiong, Kang An, et al.
Materials Genome Engineering Advances (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 18
Explainable Artificial Intelligence for Neuroscience: Behavioral Neurostimulation
Jean‐Marc Fellous, Guillermo Sapiro, Andrew F. Rossi, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 138
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: 130
Machine Learning in Acute Ischemic Stroke Neuroimaging
Haris Kamal, Víctor A. López, Sunil A. Sheth
Frontiers in Neurology (2018) Vol. 9
Open Access | Times Cited: 110
Objective and automatic classification of Parkinson disease with Leap Motion controller
Abdul Haleem Butt, Erika Rovini, Cristina Dolciotti, et al.
BioMedical Engineering OnLine (2018) Vol. 17, Iss. 1
Open Access | Times Cited: 91
Laterality 2020: entering the next decade
Sebastian Ocklenburg, Gesa Berretz, Julian Packheiser, et al.
Laterality Asymmetries of Body Brain and Cognition (2020) Vol. 26, Iss. 3, pp. 265-297
Closed Access | Times Cited: 71
Voice in Parkinson's Disease: A Machine Learning Study
Antonio Suppa, Giovanni Costantini, Francesco Asci, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 67
Toward the explainability, transparency, and universality of machine learning for behavioral classification in neuroscience
Nastacia L. Goodwin, Simon Nilsson, Jia Jie Choong, et al.
Current Opinion in Neurobiology (2022) Vol. 73, pp. 102544-102544
Open Access | Times Cited: 67
Explainable Deep Learning for Personalized Age Prediction With Brain Morphology
Angela Lombardi, Domenico Diacono, Nicola Amoroso, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 63
A robust framework to investigate the reliability and stability of explainable artificial intelligence markers of Mild Cognitive Impairment and Alzheimer’s Disease
Angela Lombardi, Domenico Diacono, Nicola Amoroso, et al.
Brain Informatics (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 41
An overview of machine learning methods in enabling IoMT-based epileptic seizure detection
Alaa Lateef Noor Al-hajjar, Ali Kadhum M. Al‐Qurabat
The Journal of Supercomputing (2023) Vol. 79, Iss. 14, pp. 16017-16064
Open Access | Times Cited: 33
The evolution of Big Data in neuroscience and neurology
Laura Dipietro, Paola Gonzalez‐Mego, Ciro Ramos‐Estebanez, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 24
A primer on the use of machine learning to distil knowledge from data in biological psychiatry
Thomas P. Quinn, Jonathan Hess, Victoria S. Marshe, et al.
Molecular Psychiatry (2024) Vol. 29, Iss. 2, pp. 387-401
Closed Access | Times Cited: 11
Individualized functional networks reconfigure with cognitive state
Mehraveh Salehi, Amin Karbasi, Daniel S. Barron, et al.
NeuroImage (2019) Vol. 206, pp. 116233-116233
Open Access | Times Cited: 68
Extracting Relationships by Multi-Domain Matching.
Yitong Li, Michael Murias, Samantha Major, et al.
PubMed (2018) Vol. 31, pp. 6799-6810
Closed Access | Times Cited: 65
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