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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:

Electroencephalographic Fractal Dimension in Healthy Ageing and Alzheimer’s Disease
Fenne Smits, Camillo Porcaro, Carlo Cottone, et al.
PLoS ONE (2016) Vol. 11, Iss. 2, pp. e0149587-e0149587
Open Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Early diagnosis of Alzheimer’s disease: the role of biomarkers including advanced EEG signal analysis. Report from the IFCN-sponsored panel of experts
Paolo Maria Rossini, Riccardo Di Iorio, Fabrizio Vecchio, et al.
Clinical Neurophysiology (2020) Vol. 131, Iss. 6, pp. 1287-1310
Open Access | Times Cited: 179
Brain entropy, fractal dimensions and predictability: A review of complexity measures for EEG in healthy and neuropsychiatric populations
Zen Juen Lau, Tam Pham, Shen‐Hsing Annabel Chen, et al.
European Journal of Neuroscience (2022) Vol. 56, Iss. 7, pp. 5047-5069
Open Access | Times Cited: 110
Healthy and Pathological Brain Aging: From the Perspective of Oscillations, Functional Connectivity, and Signal Complexity
Ryouhei Ishii, Leonides Canuet, Yasunori Aoki, et al.
Neuropsychobiology (2017) Vol. 75, Iss. 4, pp. 151-161
Open Access | Times Cited: 168
Neural oscillations and brain stimulation in Alzheimer’s disease
Zahra Jafari, Bryan Kolb, Majid H. Mohajerani
Progress in Neurobiology (2020) Vol. 194, pp. 101878-101878
Closed Access | Times Cited: 133
Complexity Analysis of EEG, MEG, and fMRI in Mild Cognitive Impairment and Alzheimer’s Disease: A Review
Jie Sun, Bin Wang, Yan Niu, et al.
Entropy (2020) Vol. 22, Iss. 2, pp. 239-239
Open Access | Times Cited: 115
Neuromotor Dynamics of Human Locomotion in Challenging Settings
Alessandro Santuz, Leon Brüll, Antonis Ekizos, et al.
iScience (2019) Vol. 23, Iss. 1, pp. 100796-100796
Open Access | Times Cited: 76
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
Brain health in diverse settings: How age, demographics and cognition shape brain function
Hernán Hernandez, Sandra Báez, Vicente Medel, et al.
NeuroImage (2024) Vol. 295, pp. 120636-120636
Open Access | Times Cited: 12
BOLD and EEG signal variability at rest differently relate to aging in the human brain
Deniz Kumral, Fırat Şansal, Elena Čėsnaitė, et al.
NeuroImage (2019) Vol. 207, pp. 116373-116373
Open Access | Times Cited: 74
The Importance of the Validation of M/EEG With Current Biomarkers in Alzheimer's Disease
Fernando Maestú, Pablo Cuesta, Omar Hasan, et al.
Frontiers in Human Neuroscience (2019) Vol. 13
Open Access | Times Cited: 72
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: 70
Diagnostic Developments in Differentiating Unresponsive Wakefulness Syndrome and the Minimally Conscious State
Camillo Porcaro, Idan Efim Nemirovsky, Francesco Riganello, et al.
Frontiers in Neurology (2022) Vol. 12
Open Access | Times Cited: 34
A new strategy for the early detection of alzheimer disease stages using multifractal geometry analysis based on K-Nearest Neighbor algorithm
Yasmina M. Elgammal, M. A. Zahran, Mohamed M. Abdelsalam
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 28
Atypical temporal-scale-specific fractal changes in Alzheimer’s disease EEG and their relevance to cognitive decline
Sou Nobukawa, Teruya Yamanishi, H. Nishimura, et al.
Cognitive Neurodynamics (2018) Vol. 13, Iss. 1, pp. 1-11
Open Access | Times Cited: 58
Neuronal dynamics enable the functional differentiation of resting state networks in the human brain
Marco Marino, Quanying Liu, Jessica Samogin, et al.
Human Brain Mapping (2018) Vol. 40, Iss. 5, pp. 1445-1457
Open Access | Times Cited: 54
Reduced global brain metabolism but maintained vascular function in amnestic mild cognitive impairment
Binu P. Thomas, Min Sheng, B. Tseng, et al.
Journal of Cerebral Blood Flow & Metabolism (2016) Vol. 37, Iss. 4, pp. 1508-1516
Open Access | Times Cited: 51
Cortical neurodynamics changes mediate the efficacy of a personalized neuromodulation against multiple sclerosis fatigue
Camillo Porcaro, Carlo Cottone, Andrea Cancelli, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 50
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
Quantile graphs for EEG-based diagnosis of Alzheimer’s disease
Aruane M. Pineda, Fernando M. Ramos, Luiz Eduardo Betting, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0231169-e0231169
Open Access | Times Cited: 47
Lower complexity of motor primitives ensures robust control of high-speed human locomotion
Alessandro Santuz, Antonis Ekizos, Yoko Kunimasa, et al.
Heliyon (2020) Vol. 6, Iss. 10, pp. e05377-e05377
Open Access | Times Cited: 41
Brain NAD Is Associated With ATP Energy Production and Membrane Phospholipid Turnover in Humans
Bernard Cuenoud, Özlem İpek, Maya Shevlyakova, et al.
Frontiers in Aging Neuroscience (2020) Vol. 12
Open Access | Times Cited: 39
Identification of Electroencephalogram Signals in Alzheimer's Disease by Multifractal and Multiscale Entropy Analysis
Momo Ando, Sou Nobukawa, Mitsuru Kikuchi, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 34
Fractal Dimension Feature as a Signature of Severity in Disorders of Consciousness: An EEG Study
Camillo Porcaro, Marco Marino, Simone Carozzo, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 07
Open Access | Times Cited: 22
Linear and Non-Linear Heart Rate Variability Indexes from Heart-Induced Mechanical Signals Recorded with a Skin-Interfaced IMU
Milena Čukić, Chiara Romano, Francesca De Tommasi, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1615-1615
Open Access | Times Cited: 15
Fractal Dimension as a discriminative feature for high accuracy classification in motor imagery EEG-based brain-computer interface
Sadaf Moaveninejad, Valentina D’Onofrio, Franca Tecchio, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107944-107944
Closed Access | Times Cited: 15
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