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:

Changes in the EEG amplitude as a biomarker for early detection of Alzheimer's disease
Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, et al.
(2016)
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78
Complexity Measures for Quantifying Changes in Electroencephalogram in Alzheimer’s Disease
Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, et al.
Complexity (2018) Vol. 2018, Iss. 1
Open Access | Times Cited: 71
Impact of EEG Parameters Detecting Dementia Diseases: A Systematic Review
Luz-María Sánchez, Juvenal Rodríguez‐Reséndiz, Gloria Nélida Avecilla Ramírez, et al.
IEEE Access (2021) Vol. 9, pp. 78060-78074
Open Access | Times Cited: 54
Higuchi fractal dimension of the electroencephalogram as a biomarker for early detection of Alzheimer's disease
Ali H. Husseen Al-Nuaimi, Emmanuel Jammeh, Lingfen Sun, et al.
(2017), pp. 2320-2324
Open Access | Times Cited: 49
EEG and Deep Learning Based Brain Cognitive Function Classification
Saraswati Sridhar, Vidya Manian
Computers (2020) Vol. 9, Iss. 4, pp. 104-104
Open Access | Times Cited: 35
Robust EEG Based Biomarkers to Detect Alzheimer’s Disease
Ali H. Husseen Al-Nuaimi, Marina Blūma, Shaymaa Al-Juboori, et al.
Brain Sciences (2021) Vol. 11, Iss. 8, pp. 1026-1026
Open Access | Times Cited: 27
A machine learning based approach for detection of alzheimer's disease using analysis of hippocampus region from MRI scan
Arpita Raut, Vipul Dalal
(2017), pp. 236-242
Closed Access | Times Cited: 19
Alzheimer's Disease Analysis Algorithm Based on No-threshold Recurrence Plot Convolution Network
Xuemei Li, Tao Zhou, Shi Qiu
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 10
Impact of Pharmacotherapy on Insomnia in Patients with Alzheimer’s Disease
Joshua P. Roland, Donald L. Bliwise
Drugs & Aging (2021) Vol. 38, Iss. 11, pp. 951-966
Open Access | Times Cited: 10
Investigation of relationships between changes in EEG features and subjective quality of HDR images
Shaymaa Al-Juboori, Is-Haka Mkwawa, Lingfen Sun, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2017) Vol. 228, pp. 91-96
Open Access | Times Cited: 8
Electroencephalogram Based Biomarkers for Detection of Alzheimer’s Disease
Ali H. Husseen Al-Nuaimi, Shaymaa Al-Juboori, Emmanuel Jammeh, et al.
IntechOpen eBooks (2019)
Open Access | Times Cited: 4
A Machine Learning Based Approach for Early Detection of Alzheimer’s Disease by Extracting Texture and Shape Features of the Hippocampus Region from MRI Scans
Arpita Raut, Vipul Dalal
IJARCCE (2017) Vol. 6, Iss. 6, pp. 320-325
Open Access | Times Cited: 3
EEG-Based Alzheimer's Detection Using Power Spectral Density, Tsallis Entropy, Amplitude Features, and SVM Classification
A. Cissé, Zineb Farahat, Nabila Zrira, et al.
Research Square (Research Square) (2024)
Closed Access
Critical Evaluation of Different Biomarkers and Machine-Learning-Based Approaches to Identify Dementia Disease in Early Stages
Gayakshika Gimhani, Achala Aponso, Naomi Krishnarajah
Advances in intelligent systems and computing (2019), pp. 353-364
Closed Access | Times Cited: 1
Deep Learning Approach in Alzheimer’s Phase Classification and Analytical Prediction in COVID-19 Sequencing
B. E. Manjunathswamy, Anusha Sivakumar, R. Athirakrishnan, et al.
Lecture notes in electrical engineering (2023), pp. 391-400
Closed Access
Evoked responses to single pulse electrical stimulation reveal impaired striatal excitability in a rat model of Parkinson's disease
Eloïse Gronlier, Julien Volle, Véronique Coizet, et al.
Neurobiology of Disease (2023) Vol. 185, pp. 106266-106266
Open Access
Developing an Intelligent Prediction Model for Dementia from Baseline and Time Series
Samara A. Banno, Michael S. C. Thomas
Lecture notes in networks and systems (2023), pp. 167-180
Closed Access
Analysis of Machine Learning and Deep Learning Techniques for Prediction of Psychiatric Disorders Using EEG Datasets
S. Subhashree, Jobin Thomas, Pamela Vinitha Eric
(2023), pp. 1-9
Closed Access
Biomarcadores de neuroimagen para el diagnóstico temprano de la enfermedad de Alzheimer. Un abordaje desde las redes neuronales
Agustín Lavoz Torres
DELETED (2020) Vol. 26, Iss. 3, pp. 105-112
Open Access
Detection of Alzheimer’s Disease from MRI scan using Machine Learning An Implementation Paper
Ms. Dr. Janhavi V
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 7, pp. 3584-3591
Open Access
Evoked responses to single pulse electrical stimulation demonstrate impaired striatal excitability in a rodent model of Parkinson’s disease
Eloïse Gronlier, Julien Volle, Véronique Coizet, et al.
Research Square (Research Square) (2022)
Open Access
Page 1

Scroll to top