Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
U. Raghavendra, U. Rajendra Acharya, Hojjat Adeli
European Neurology (2019) Vol. 82, Iss. 1-3, pp. 41-64
Open Access | Times Cited: 131

Showing 1-25 of 131 citing articles:

The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Shaghayegh Shajari, Kirankumar Kuruvinashetti, Amin Komeili, et al.
Sensors (2023) Vol. 23, Iss. 23, pp. 9498-9498
Open Access | Times Cited: 108
Internet of Things Technologies and Machine Learning Methods for Parkinson’s Disease Diagnosis, Monitoring and Management: A Systematic Review
Κωνσταντίνα-Μαρία Γιαννακοπούλου, Ioanna Roussaki, Konstantinos Demestichas
Sensors (2022) Vol. 22, Iss. 5, pp. 1799-1799
Open Access | Times Cited: 69
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Computational intelligence-based classification system for the diagnosis of memory impairment in psychoactive substance users
Chaoyang Zhu
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 20
Neural interfaces: Bridging the brain to the world beyond healthcare
Shumao Xu, Yang Liu, Hyun‐Jin Lee, et al.
Exploration (2024) Vol. 4, Iss. 5
Open Access | Times Cited: 17
Major depressive disorder diagnosis based on effective connectivity in EEG signals: a convolutional neural network and long short-term memory approach
Abdolkarim Saeedi, Maryam Saeedi, Arash Maghsoudi, et al.
Cognitive Neurodynamics (2020) Vol. 15, Iss. 2, pp. 239-252
Open Access | Times Cited: 126
Application of Deep Learning Models for Automated Identification of Parkinson’s Disease: A Review (2011–2021)
Hui Wen Loh, Wanrong Hong, Chui Ping Ooi, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7034-7034
Open Access | Times Cited: 80
A Comprehensive Survey on the Detection, Classification, and Challenges of Neurological Disorders
Aklima Akter Lima, M. F. Mridha, Sujoy Chandra Das, et al.
Biology (2022) Vol. 11, Iss. 3, pp. 469-469
Open Access | Times Cited: 62
Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Aneeqa Ijaz, Muhammad Nabeel, Usama Masood, et al.
Informatics in Medicine Unlocked (2022) Vol. 29, pp. 100832-100832
Open Access | Times Cited: 57
Automated accurate detection of depression using twin Pascal’s triangles lattice pattern with EEG Signals
Gülay TAŞCI, Hui Wen Loh, Prabal Datta Barua, et al.
Knowledge-Based Systems (2022) Vol. 260, pp. 110190-110190
Closed Access | Times Cited: 56
Diagnosis and Detection of Alzheimer's Disease Using Learning Algorithm
Gargi Pant Shukla, Santosh Kumar, Saroj Kumar Pandey, et al.
Big Data Mining and Analytics (2023) Vol. 6, Iss. 4, pp. 504-512
Open Access | Times Cited: 27
Paper-based colorimetric sensors for point-of-care testing
Anthony Ko, Caizhi Liao
Analytical Methods (2023) Vol. 15, Iss. 35, pp. 4377-4404
Closed Access | Times Cited: 25
AI in Neuroimaging and Brain Analysis
Aashish A. Gadgil, P. Selvakumar, G. Sabeena Gnanaselvi, et al.
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 185-212
Closed Access | Times Cited: 1
Automated major depressive disorder detection using melamine pattern with EEG signals
Emrah Aydemir, Türker Tuncer, Şengül Doğan, et al.
Applied Intelligence (2021) Vol. 51, Iss. 9, pp. 6449-6466
Closed Access | Times Cited: 48
Survey of Machine Learning Techniques in the Analysis of EEG Signals for Parkinson’s Disease: A Systematic Review
Ana M. Maitín, Juan Pablo Romero, Álvaro J. García‐Tejedor
Applied Sciences (2022) Vol. 12, Iss. 14, pp. 6967-6967
Open Access | Times Cited: 36
An ideal ratiometric fluorescent probe provided by the surface modification of carbon dots for the determination of Pb2+
Sardar paydar, Foroozan Feizi, Mojtaba Shamsipur, et al.
Sensors and Actuators B Chemical (2022) Vol. 369, pp. 132243-132243
Closed Access | Times Cited: 35
Cortical thickness systematically varies with curvature and depth in healthy human brains
Nagehan Demirci, Maria A. Holland
Human Brain Mapping (2022) Vol. 43, Iss. 6, pp. 2064-2084
Open Access | Times Cited: 33
Retinal image blood vessel classification using hybrid deep learning in cataract diseased fundus images
Yogesh Kumar, Bharat Gupta
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104776-104776
Closed Access | Times Cited: 19
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism
Juan E. Arco, Andrés Ortíz, Nicolás J. Gallego-Molina, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 16
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection
Yuxia Wang, Shasha Yuan, Jin‐Xing Liu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 6
Machine Learning Approaches for Detecting Parkinson’s Disease from EEG Analysis: A Systematic Review
Ana M. Maitín, Álvaro J. García‐Tejedor, Juan Pablo Romero
Applied Sciences (2020) Vol. 10, Iss. 23, pp. 8662-8662
Open Access | Times Cited: 48
Evaluation of brain tumor using brain MRI with modified-moth-flame algorithm and Kapur’s thresholding: a study
Seifedine Kadry, V. Rajinikanth, N. Sri Madhava Raja, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1053-1063
Closed Access | Times Cited: 38
Novel automated PD detection system using aspirin pattern with EEG signals
Prabal Datta Barua, Şengül Doğan, Türker Tuncer, et al.
Computers in Biology and Medicine (2021) Vol. 137, pp. 104841-104841
Closed Access | Times Cited: 34
A Comprehensive Review on Advancement in Deep Learning Techniques for Automatic Detection of Tuberculosis from Chest X-ray Images
Evans Kotei, Ramkumar Thirunavukarasu
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 1, pp. 455-474
Closed Access | Times Cited: 13
Brain Organoids: A Game-Changer for Drug Testing
Chiara Giorgi, Giorgia Lombardozzi, Fabrizio Ammannito, et al.
Pharmaceutics (2024) Vol. 16, Iss. 4, pp. 443-443
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top