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:

Declining functional connectivity and changing hub locations in Alzheimer’s disease: an EEG study
Marjolein M.A. Engels, Cornelis J. Stam, Wiesje M. van der Flier, et al.
BMC Neurology (2015) Vol. 15, Iss. 1
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria
Bruno Dubois, Harald Hampel, Howard Feldman, et al.
Alzheimer s & Dementia (2016) Vol. 12, Iss. 3, pp. 292-323
Open Access | Times Cited: 1627
Systematic Review on Resting-State EEG for Alzheimer’s Disease Diagnosis and Progression Assessment
Raymundo Cassani, Mar Estarellas, Rodrigo San-Martin, et al.
Disease Markers (2018) Vol. 2018, pp. 1-26
Open Access | Times Cited: 291
Amsterdam Dementia Cohort: Performing Research to Optimize Care
Wiesje M. van der Flier, Philip Scheltens
Journal of Alzheimer s Disease (2018) Vol. 62, Iss. 3, pp. 1091-1111
Open Access | Times Cited: 286
Neuronal excitation/inhibition imbalance: core element of a translational perspective on Alzheimer pathophysiology
Fernando Maestú, Willem de Haan, Marc Aurel Busche, et al.
Ageing Research Reviews (2021) Vol. 69, pp. 101372-101372
Open Access | Times Cited: 142
Brain functional and effective connectivity based on electroencephalography recordings: A review
Jun Cao, Yifan Zhao, Xiaocai Shan, et al.
Human Brain Mapping (2021) Vol. 43, Iss. 2, pp. 860-879
Open Access | Times Cited: 134
Measures of resting state EEG rhythms for clinical trials in Alzheimer's disease: Recommendations of an expert panel
Claudio Babiloni, Xianghong Arakaki, Hamed Azami, et al.
Alzheimer s & Dementia (2021) Vol. 17, Iss. 9, pp. 1528-1553
Open Access | Times Cited: 116
Graph Theory and Brain Connectivity in Alzheimer’s Disease
Jon delEtoile, Hojjat Adeli
The Neuroscientist (2017) Vol. 23, Iss. 6, pp. 616-626
Closed Access | Times Cited: 164
Selective impairment of hippocampus and posterior hub areas in Alzheimer’s disease: an MEG-based multiplex network study
Meichen Yu, Marjolein M.A. Engels, Arjan Hillebrand, et al.
Brain (2017) Vol. 140, Iss. 5, pp. 1466-1485
Open Access | Times Cited: 147
Different functional connectivity and network topology in behavioral variant of frontotemporal dementia and Alzheimer's disease: an EEG study
Meichen Yu, Alida A. Gouw, Arjan Hillebrand, et al.
Neurobiology of Aging (2016) Vol. 42, pp. 150-162
Closed Access | Times Cited: 140
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey
Jin Liu, Min Li, Yi Pan, et al.
Complexity (2017) Vol. 2017, pp. 1-27
Open Access | Times Cited: 130
EEG spectral analysis as a putative early prognostic biomarker in nondemented, amyloid positive subjects
Alida A. Gouw, Astrid M. Alsema, Betty M. Tijms, et al.
Neurobiology of Aging (2017) Vol. 57, pp. 133-142
Closed Access | Times Cited: 123
Reproducibility of EEG functional connectivity in Alzheimer’s disease
Casper T. Briels, Deborah N. Schoonhoven, Cornelis J. Stam, et al.
Alzheimer s Research & Therapy (2020) Vol. 12, Iss. 1
Open Access | Times Cited: 123
Integrating cross-frequency and within band functional networks in resting-state MEG: A multi-layer network approach
Prejaas Tewarie, Arjan Hillebrand, Bob W. van Dijk, et al.
NeuroImage (2016) Vol. 142, pp. 324-336
Open Access | Times Cited: 107
Functional connectivity and network analysis during hypoactive delirium and recovery from anesthesia
Tianne Numan, Arjen J. C. Slooter, Arendina W. van der Kooi, et al.
Clinical Neurophysiology (2017) Vol. 128, Iss. 6, pp. 914-924
Closed Access | Times Cited: 98
Neurophysiological Markers of Alzheimer’s Disease: Quantitative EEG Approach
Una Smailović, Vesna Jelić
Neurology and Therapy (2019) Vol. 8, Iss. S2, pp. 37-55
Open Access | Times Cited: 98
Loss of brain inter-frequency hubs in Alzheimer's disease
Jérémy Guillon, Yohan Attal, Olivier Colliot, et al.
Scientific Reports (2017) Vol. 7, Iss. 1
Open Access | Times Cited: 95
Hypersynchronization in mild cognitive impairment: the ‘X’ model
Sandra Pusil, María Eugenia López, Pablo Cuesta, et al.
Brain (2019) Vol. 142, Iss. 12, pp. 3936-3950
Open Access | Times Cited: 95
Alzheimer’s disease: The state of the art in resting-state magnetoencephalography
Marjolein M.A. Engels, Wiesje M. van der Flier, Cornelis J. Stam, et al.
Clinical Neurophysiology (2017) Vol. 128, Iss. 8, pp. 1426-1437
Closed Access | Times Cited: 93
Dynamic cortical connectivity alterations associated with Alzheimer's disease: An EEG and fNIRS integration study
Rihui Li, Thinh Nguyen, Thomas Potter, et al.
NeuroImage Clinical (2018) Vol. 21, pp. 101622-101622
Open Access | Times Cited: 91
Quantifying the Test-Retest Reliability of Magnetoencephalography Resting-State Functional Connectivity
Pilar Garcés, María Carmen Martín-Buro, Fernando Maestú
Brain Connectivity (2016) Vol. 6, Iss. 6, pp. 448-460
Closed Access | Times Cited: 88
Cohort study into the neural correlates of postoperative delirium: the role of connectivity and slow-wave activity
Sean Tanabe, Rosaleena Mohanty, Heidi Lindroth, et al.
British Journal of Anaesthesia (2020) Vol. 125, Iss. 1, pp. 55-66
Open Access | Times Cited: 82
Classification Methods Based on Complexity and Synchronization of Electroencephalography Signals in Alzheimer’s Disease
Sou Nobukawa, Teruya Yamanishi, Shinya Kasakawa, et al.
Frontiers in Psychiatry (2020) Vol. 11
Open Access | Times Cited: 72
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Abdulaziz Alorf, Muhammad Usman Ghani Khan
Computers in Biology and Medicine (2022) Vol. 151, pp. 106240-106240
Closed Access | Times Cited: 67
Machine Learning Algorithms and Statistical Approaches for Alzheimer’s Disease Analysis Based on Resting-State EEG Recordings: A Systematic Review
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, et al.
International Journal of Neural Systems (2021) Vol. 31, Iss. 05, pp. 2130002-2130002
Closed Access | Times Cited: 66
Resting-state oscillations reveal disturbed excitation–inhibition ratio in Alzheimer’s disease patients
Anne M van Nifterick, Danique Mulder, Denise Joanne Duineveld, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 32
Page 1 - Next Page

Scroll to top