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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:

Functional Connectivity-Based Prediction of Autism on Site Harmonized ABIDE Dataset
Madhura Ingalhalikar, Sumeet Shinde, Arnav Karmarkar, et al.
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 12, pp. 3628-3637
Open Access | Times Cited: 73

Showing 26-50 of 73 citing articles:

Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023
Chandra Mani Sharma, Vijayaraghavan M. Chariar
Heliyon (2024) Vol. 10, Iss. 12, pp. e32548-e32548
Open Access | Times Cited: 3
Collaborative learning of graph generation, clustering and classification for brain networks diagnosis
Wenju Yang, Guangqi Wen, Peng Cao, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 219, pp. 106772-106772
Closed Access | Times Cited: 13
Diagnosis for autism spectrum disorder children using T1-based gray matter and arterial spin labeling-based cerebral blood flow network metrics
Mingyang Liu, Weibo Yu, Dandan Xu, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
The diagnosis of ASD with MRI: a systematic review and meta-analysis
Sjir J. C. Schielen, Jesper Pilmeyer, Albert P. Aldenkamp, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
DeepEZ: A Graph Convolutional Network for Automated Epileptogenic Zone Localization From Resting-State fMRI Connectivity
Naresh Nandakumar, David Hsu, Raheel Ahmed, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 1, pp. 216-227
Open Access | Times Cited: 12
Unraveling schizophrenia replicable functional connectivity disruption patterns across sites
Xiaotong Du, Xiaotong Wei, Hao Ding, et al.
Human Brain Mapping (2022) Vol. 44, Iss. 1, pp. 156-169
Open Access | Times Cited: 11
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection
Alice Othmani, Thibaut Bizet, Tanguy Pellerin, et al.
Communications in computer and information science (2023), pp. 34-45
Closed Access | Times Cited: 4
End-to-End Explainable AI: Derived Theory-of-Mind Fingerprints to Distinguish Between Autistic and Typically developing and Social Symptom Severity
Km Bhavna, Romi Banerjee, D. Pomeroy
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
The robustness of persistent homology of brain networks to data acquisition‐related non‐neural variability in resting state fMRI
Sidharth Kumar, Ahmedur Rahman Shovon, Gopikrishna Deshpande
Human Brain Mapping (2023) Vol. 44, Iss. 13, pp. 4637-4651
Open Access | Times Cited: 4
Decoding Autism: Uncovering patterns in brain connectivity through sparsity analysis with rs-fMRI data
Soham Bandyopadhyay, Santhoshkumar Peddi, Monalisa Sarma, et al.
Journal of Neuroscience Methods (2024) Vol. 405, pp. 110100-110100
Closed Access | Times Cited: 1
Role of AI/ML in the Study of Autism Spectrum Disorders: A Bibliometric Analysis
A. Jiran Meitei, Bibhuti Bhusan Mohapatra, Budhachandra Khundrakpam, et al.
Journal of Technology in Behavioral Science (2024)
Closed Access | Times Cited: 1
Modeling the impact of MRI acquisition bias on structural connectomes: Harmonizing structural connectomes
Jagruti Patel, Mikkel Schöttner, Anjali Tarun, et al.
Network Neuroscience (2024) Vol. 8, Iss. 3, pp. 623-652
Open Access | Times Cited: 1
Classification of Autism Disorder using Deep Learning Techniques: A BlazePose-based Approach
Hirthick Raj, Deva Kalangiyam, R. Vasanthi
(2024), pp. 692-698
Closed Access | Times Cited: 1
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
MHATC: Autism Spectrum Disorder Identification Utilizing Multi-Head Attention Encoder Along with Temporal Consolidation Modules
Ranjeet Ranjan Jha, Abhishek Bhardwaj, Devin Garg, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022)
Open Access | Times Cited: 7
Assessing Multi-Site rs-fMRI-Based Connectomic Harmonization Using Information Theory
Facundo Roffet, Claudio Delrieux, Gustavo Patow
Brain Sciences (2022) Vol. 12, Iss. 9, pp. 1219-1219
Open Access | Times Cited: 7
Identification of Pathogenetic Brain Regions via Neuroimaging Data for Diagnosis of Autism Spectrum Disorders
Yu Wang, Yu Fu, Xun Luo
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 5
Semi-supervised Learning with Data Harmonisation for Biomarker Discovery from Resting State fMRI
Yi Hao Chan, Wei Chee Yew, Jagath C. Rajapakse
Lecture notes in computer science (2022), pp. 441-451
Closed Access | Times Cited: 4
Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network
Vibhav Prakash Singh, Aman Verma, Dushyant Kumar Singh, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 2
Effect of data harmonization of multicentric dataset in ASD/TD classification
Giacomo Serra, Francesca Mainas, Bruno Golosio, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2
Elucidating salient site-specific functional connectivity features and site-invariant biomarkers in schizophrenia via deep neural networks
Yi Hao Chan, Wei Chee Yew, Qian Hui Chew, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
ALERT: Atlas-Based Low Estimation Rank Tensor Approach to Detect Autism Spectrum Disorder*
A. Samanta, Monalisa Sarma, Debasis Samanta
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023), pp. 1-4
Closed Access | Times Cited: 2
Resting-State Functional MRI Adaptation with Attention Graph Convolution Network for Brain Disorder Identification
Ying Chu, Haonan Ren, Lishan Qiao, et al.
Brain Sciences (2022) Vol. 12, Iss. 10, pp. 1413-1413
Open Access | Times Cited: 3
Classification of Autism Spectrum Disorder Using a 3D-CNN Ensemble Model and Regional Homogeneity Data from the ABIDE I Dataset
Guilherme Bauer‐Negrini, Luísa Vieira Lucchese, Viviane Rodrigues Botelho, et al.
IFMBE proceedings (2024), pp. 359-370
Closed Access
An Effective Machine Learning Model to Detect and Analyze the Autism Spectrum Disorder
D. Linett Sophia, J. Praveenchandar, D. Pavunkumar, et al.
(2024), pp. 277-283
Closed Access

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