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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:

Conditional entropy approach to analyze cognitive dynamics in autism spectrum disorder
Tanu Wadhera, Deepti Kakkar
Neurological Research (2020) Vol. 42, Iss. 10, pp. 869-878
Closed Access | Times Cited: 20

Showing 20 citing articles:

Brain Functional Network Topology in Autism Spectrum Disorder: A Novel Weighted Hierarchical Complexity Metric for Electroencephalogram
Tanu Wadhera, Mufti Mahmud
IEEE Journal of Biomedical and Health Informatics (2022), pp. 1-8
Closed Access | Times Cited: 24
A primer on entropy in neuroscience
Erik D. Fagerholm, Zalina Dezhina, Rosalyn Moran, et al.
Neuroscience & Biobehavioral Reviews (2023) Vol. 146, pp. 105070-105070
Closed Access | Times Cited: 11
Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review
Sushmit Das, Reza Zomorrodi, Mina Mirjalili, et al.
Progress in Neuro-Psychopharmacology and Biological Psychiatry (2022) Vol. 123, pp. 110705-110705
Open Access | Times Cited: 18
Social cognition and functional brain network in autism spectrum disorder: Insights from EEG graph-theoretic measures
Tanu Wadhera, Deepti Kakkar
Biomedical Signal Processing and Control (2021) Vol. 67, pp. 102556-102556
Closed Access | Times Cited: 21
Brain Networks in Autism Spectrum Disorder, Epilepsy and Their Relationship: A Machine Learning Approach
Tanu Wadhera, Mufti Mahmud
Brain informatics and health (2022), pp. 125-142
Closed Access | Times Cited: 13
A Deep Concatenated Convolutional Neural Network-Based Method to Classify Autism
Tanu Wadhera, Mufti Mahmud, David Brown
Communications in computer and information science (2023), pp. 446-458
Closed Access | Times Cited: 6
Behavioral Modeling Using Deep Neural Network Framework for ASD Diagnosis and Prognosis
Tanu Wadhera, Deepti Kakkar, Rajneesh Rani
(2021), pp. 279-298
Closed Access | Times Cited: 12
Design and Investigation of SiGe Heterojunction Based Charge Plasma Vertical TFET for Biosensing Application
Shailendra Singh, Amit Chauhan, Gaurish Joshi, et al.
Silicon (2021) Vol. 14, Iss. 11, pp. 6193-6204
Closed Access | Times Cited: 12
The automated preprocessing pipe-line for the estimation of scale-wise entropy from EEG data (APPLESEED): Development and validation for use in pediatric populations
Meghan H. Puglia, Jacqueline S. Slobin, Cabell L. Williams
Developmental Cognitive Neuroscience (2022) Vol. 58, pp. 101163-101163
Open Access | Times Cited: 8
Identifying Diagnostic Biomarkers for Autism Spectrum Disorder From Higher-order Interactions Using the PED Algorithm
Hao Wang, Yanting Liu, Yanrui Ding
Neuroinformatics (2024) Vol. 22, Iss. 3, pp. 285-296
Closed Access | Times Cited: 1
Video‐based real‐time assessment and diagnosis of autism spectrum disorder using deep neural networks
Varun Ganjigunte Prakash, Manu Kohli, Prathosh AP, et al.
Expert Systems (2023)
Closed Access | Times Cited: 4
Static and Dynamic Assessment of Intelligence in ADHD Subtypes
Rosa Angela Fabio, Giulia Emma Towey, Tindara Caprì
Frontiers in Psychology (2022) Vol. 13
Open Access | Times Cited: 5
Genetic mutation of TRPV2 induces anxiety by decreasing GABA-B R2 expression in hippocampus
Gao‐Yan Liu, Yamei Liu, Bowen Niu, et al.
Biochemical and Biophysical Research Communications (2022) Vol. 620, pp. 135-142
Closed Access | Times Cited: 5
Selection entropy: The information hidden within neuronal patterns
Erik D. Fagerholm, Zalina Dezhina, Rosalyn Moran, et al.
Physical Review Research (2023) Vol. 5, Iss. 2
Open Access | Times Cited: 2
EMD-based analysis of complexity with dissociated EEG amplitude and frequency information: a data-driven robust tool -for Autism diagnosis- compared to multi-scale entropy approach
Enas Abdulhay, Maha Alafeef, Hikmat Hadoush, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 5, pp. 5031-5054
Open Access | Times Cited: 2
Wireless electroencephalogram monitoring system for deciphering neurological disorders using brain connectivity patterns
Surya Sarathi Das, Subha D. Puthankattil
Expert Systems (2022) Vol. 40, Iss. 4
Closed Access | Times Cited: 1
The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations
Meghan H. Puglia, Jacqueline S. Slobin, Cabell L. Williams
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 1
A primer on entropy in neuroscience
Erik D. Fagerholm, Zalina Dezhina, Rosalyn Moran, et al.
(2022)
Open Access
An Entropy based approach to investigate the heterogeneous sensory pattern in Autism Spectrum Disorders
Priyalakshmi Sheela, Subha D. Puthankattil
(2022)
Closed Access
Recent Advancements on Structural Health Monitoring Using Lamb Waves
Deepak Kumar, Sahil Kalra, Mayank Jha
Smart innovation, systems and technologies (2021), pp. 131-142
Closed Access
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