Open Access Helper

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:

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

Showing 26-50 of 138 citing articles:

The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions
Razan Alkhanbouli, Hour Matar Abdulla Almadhaani, Farah Alhosani, et al.
BMC Medical Informatics and Decision Making (2025) Vol. 25, Iss. 1
Open Access | Times Cited: 1
Explainable Artificial Intelligence: a Systematic Review
Giulia Vilone, Luca Longo
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 51
Explainable Artificial Intelligence for Human-Machine Interaction in Brain Tumor Localization
Morteza Esmaeili, Riyas Vettukattil, Hasan Banitalebi, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 11, pp. 1213-1213
Open Access | Times Cited: 47
XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series
Dominik Raab, Andreas Theissler, Myra Spiliopoulou
Neural Computing and Applications (2022) Vol. 35, Iss. 14, pp. 10051-10068
Open Access | Times Cited: 33
Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism
Juan Manuel Mayor Torres, Sara Medina-DeVilliers, Tessa Clarkson, et al.
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102545-102545
Closed Access | Times Cited: 21
The Self and its Disorders
Shaun Gallagher
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 21
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: 7
Explainability of vision-based autonomous driving systems: Review and challenges.
Éloi Zablocki, Hedi Ben-younes, Patrick Pérez, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 33
Personalized Brain–Computer Interface and Its Applications
Yixin Ma, Anmin Gong, Wenya Nan, et al.
Journal of Personalized Medicine (2022) Vol. 13, Iss. 1, pp. 46-46
Open Access | Times Cited: 28
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
Human Activity Recognition with an HMM-Based Generative Model
Narges Manouchehri, Nizar Bouguila
Sensors (2023) Vol. 23, Iss. 3, pp. 1390-1390
Open Access | Times Cited: 14
Explainable Artificial Intelligence in Data Science
Joaquín Borrego-Dí­az, Juan Galán‐Paez
Minds and Machines (2022) Vol. 32, Iss. 3, pp. 485-531
Open Access | Times Cited: 19
Meta-learning contributes to cultivation of wisdom in moral domains: Implications of recent artificial intelligence research and educational considerations
Hyemin Han
International Journal of Ethics Education (2025)
Closed Access
Machine Learning in Psychiatric Health Records: A Gold Standard Approach to Trauma Annotation
Bruce Atwood, Eben Holderness, Marc Verhagen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
An Explainable Predictive Model for the Detection of Mental Health Conditions in the Workplace
Sandeep Giri, Farnaz Farid, Farhad Ahamed, et al.
Lecture notes in networks and systems (2025), pp. 38-50
Closed Access
Effective blood vessels reconstruction methodology for early detection and classification of diabetic retinopathy using OCTA images by artificial neural network
Mohamed M. Abdelsalam
Informatics in Medicine Unlocked (2020) Vol. 20, pp. 100390-100390
Open Access | Times Cited: 29
Easy Perturbation EEG Algorithm for Spectral Importance (easyPEASI)
David O. Nahmias, Kimberly Kontson
(2020), pp. 2398-2406
Open Access | Times Cited: 28
Cerebral hemorrhage detection and localization with medical imaging for cerebrovascular disease diagnosis and treatment using explainable deep learning
Kwang Hyeon Kim, Hae-Won Koo, Byung-Jou Lee, et al.
Journal of the Korean Physical Society (2021) Vol. 79, Iss. 3, pp. 321-327
Closed Access | Times Cited: 26
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
Can Autism Be Diagnosed with Artificial Intelligence? A Narrative Review
Ahmad Chaddad, Jiali Li, Qizong Lu, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 2032-2032
Open Access | Times Cited: 25
Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches
Jason Smucny, Ge Shi, Ian Davidson
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 17
Detection of Healthy and Unhealthy Brain States from Local Field Potentials Using Machine Learning
Marcos Fabietti, Mufti Mahmud, Ahmad Lotfi, et al.
Lecture notes in computer science (2022), pp. 27-39
Closed Access | Times Cited: 17
Electome network factors: Capturing emotional brain networks related to health and disease
Kathryn K. Walder-Christensen, Karim Abdelaal, Hunter Klein, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 1, pp. 100691-100691
Open Access | Times Cited: 3
Zebrafish models for studying cognitive enhancers
Tatiana O. Kolesnikova, Konstantin A. Demin, Fabiano V. Costa, et al.
Neuroscience & Biobehavioral Reviews (2024) Vol. 164, pp. 105797-105797
Closed Access | Times Cited: 3
Artificial intelligence and neurological health
Arinjay Jain, Shipra Dwivedi, Neeru Jain, et al.
Methods in microbiology (2025)
Closed Access

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