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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:

Brain imaging-based machine learning in autism spectrum disorder: methods and applications
Ming Xu, Vince D. Calhoun, Rongtao Jiang, et al.
Journal of Neuroscience Methods (2021) Vol. 361, pp. 109271-109271
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review
Marjane Khodatars, Afshin Shoeibi, Delaram Sadeghi, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104949-104949
Closed Access | Times Cited: 216
A classification framework for Autism Spectrum Disorder detection using sMRI: Optimizer based ensemble of deep convolution neural network with on-the-fly data augmentation
Mayank Mishra, Umesh Chandra Pati
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104686-104686
Closed Access | Times Cited: 34
Performance reserves in brain-imaging-based phenotype prediction
Marc‐Andre Schulz, Danilo Bzdok, Stefan Haufe, et al.
Cell Reports (2023) Vol. 43, Iss. 1, pp. 113597-113597
Open Access | Times Cited: 25
Role of Artificial Intelligence for Autism Diagnosis Using DTI and fMRI: A Survey
Eman Mohamed Helmy, Ahmed Elnakib, Yaser ElNakieb, et al.
Biomedicines (2023) Vol. 11, Iss. 7, pp. 1858-1858
Open Access | Times Cited: 24
Advancing ASD detection: novel approach integrating attention graph neural networks and crossover boosted meerkat optimization
Lipika Goel, Sonam Gupta, Avdhesh Gupta, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 8, pp. 3279-3297
Closed Access | Times Cited: 11
Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging
Reem Ahmed Bahathiq, Haneen Banjar, Ahmed K. Bamaga, et al.
Frontiers in Neuroinformatics (2022) Vol. 16
Open Access | Times Cited: 37
Efficient Diagnosis of Autism Spectrum Disorder Using Optimized Machine Learning Models Based on Structural MRI
Reem Ahmed Bahathiq, Haneen Banjar, Salma Kammoun Jarraya, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 473-473
Open Access | Times Cited: 7
Medial prefrontal cortex circuitry and social behaviour in autism
Diego H. Mediane, Shinjini Basu, Emma Cahill, et al.
Neuropharmacology (2024) Vol. 260, pp. 110101-110101
Closed Access | Times Cited: 5
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine
Yonghyun Nam, Jae‐Sik Kim, Sang‐Hyuk Jung, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 225-250
Closed Access | Times Cited: 4
Detection of Bipolar Disorder and Schizophrenia Employing Bayesian-Optimized Grad-CAM-Driven Deep Learning
Osman Tayfun Bişkin, Cemre Candemir, M. Alper Selver
Applied Sciences (2025) Vol. 15, Iss. 4, pp. 1717-1717
Open Access
Different Eye Tracking Patterns in Autism Spectrum Disorder in Toddler and Preschool Children
Xuejun Kong, Zhen Wei, Binbin Sun, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 17
Performance reserves in brain-imaging-based phenotype prediction
Marc‐Andre Schulz, Danilo Bzdok, Stefan Haufe, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 16
PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection
Samir Brahim Belhaouari, Abdelhamid Talbi, Saima Hassan, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4094-4094
Open Access | Times Cited: 9
Automated diagnosis of autism with artificial intelligence: State of the art
Amir Valizadeh, Mana Moassefi, Amin Nakhostin-Ansari, et al.
Reviews in the Neurosciences (2023) Vol. 35, Iss. 2, pp. 141-163
Closed Access | Times Cited: 9
Do it the transformer way: A comprehensive review of brain and vision transformers for autism spectrum disorder diagnosis and classification
Asrar G. Alharthi, Salha M. Alzahrani
Computers in Biology and Medicine (2023) Vol. 167, pp. 107667-107667
Closed Access | Times Cited: 9
Nanodiamonds Doped with Manganese for Applications in Magnetic Resonance Imaging
Srinivasu Kunuku, Bo-Rong Lin, C.H. Chen, et al.
ACS Omega (2023) Vol. 8, Iss. 4, pp. 4398-4409
Open Access | Times Cited: 8
Identification of discriminative neuroimaging markers for patients on hemodialysis with insomnia: a fractional amplitude of low frequency fluctuation-based machine learning analysis
Zeying Wen, Yue Zhang, Menghan Feng, et al.
BMC Psychiatry (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Data-driven multimodal fusion: approaches and applications in psychiatric research
Jing Sui, Dongmei Zhi, Vince D. Calhoun
Deleted Journal (2023) Vol. 3
Open Access | Times Cited: 7
Comprehensive exploration of multi-modal and multi-branch imaging markers for autism diagnosis and interpretation: insights from an advanced deep learning model
Jingjing Gao, Yuhang Xu, Yanling Li, et al.
Cerebral Cortex (2023)
Closed Access | Times Cited: 6
An exploration of structural brain differences in Autism Spectrum Disorders: A multi-parcellation and multi-age analysis
Jully González, Nicolás Múnera, Charlems Alvarez‐Jimenez, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106043-106043
Closed Access | Times Cited: 1
A Dual Track Feature Fusion Network for ASD Detection using Swin Transformers and Convolutional Neural Network
Menaka Radhakrishnan, R. Karthik, Saranya Shanmugam, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
The Transition from Homogeneous to Heterogeneous Machine Learning in Neuropsychiatric Research
Qingyu Zhao, Kate B. Nooner, Susan F. Tapert, et al.
Biological Psychiatry Global Open Science (2024) Vol. 5, Iss. 1, pp. 100397-100397
Open Access | Times Cited: 1
Machine Learning for Neurodevelopmental Disorders
Clara Moreau, Christine Deruelle, Guillaume Auzias
Neuromethods (2023), pp. 977-1007
Open Access | Times Cited: 4
Meta-RegGNN: Predicting Verbal and Full-Scale Intelligence Scores Using Graph Neural Networks and Meta-learning
Imen Jegham, Islem Rekik
Lecture notes in computer science (2022), pp. 203-211
Closed Access | Times Cited: 5
Autism Spectrum Disorder Identification Using Multi-Model Deep Ensemble Classifier with Transfer Learning
Lakmini Herath, Dulani Meedeniya, Janaka Marasingha, et al.
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 4
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