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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:

Diagnostic prediction of autism spectrum disorder using complex network measures in a machine learning framework
N Chaitra, P. Vijaya, Gopikrishna Deshpande
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102099-102099
Closed Access | Times Cited: 77

Showing 26-50 of 77 citing articles:

Multi-Slice Generation sMRI and fMRI for Autism Spectrum Disorder Diagnosis Using 3D-CNN and Vision Transformers
Asrar G. Alharthi, Salha M. Alzahrani
Brain Sciences (2023) Vol. 13, Iss. 11, pp. 1578-1578
Open Access | Times Cited: 8
An age-dependent Connectivity-based computer aided diagnosis system for Autism Spectrum Disorder using Resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103108-103108
Closed Access | Times Cited: 19
Twinned neuroimaging analysis contributes to improving the classification of young people with autism spectrum disorder
Ali Jahani, Iman Jahani, Ali Khadem, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Video-based continuous affect recognition of children with Autism Spectrum Disorder using deep learning
Mamadou Dia, Ghazaleh Khodabandelou, Aznul Qalid Md Sabri, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105712-105712
Open Access | Times Cited: 6
Altered brain network organization in adults with Asperger's syndrome: decreased connectome transitivity and assortativity with increased global efficiency
Nooshin Javaheripour, Gerd Wagner, Feliberto de la Cruz, et al.
Frontiers in Psychiatry (2023) Vol. 14
Open Access | Times Cited: 5
A sex-dependent computer-aided diagnosis system for autism spectrum disorder using connectivity of resting-state fMRI
Hossein Haghighat, Mitra Mirzarezaee, Babak Nadjar Araabi, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 5, pp. 056034-056034
Closed Access | Times Cited: 8
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
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
Network‐based artificial intelligence approaches for advancing personalized psychiatry
Sivanesan Rajan, Emanuel Schwarz
American Journal of Medical Genetics Part B Neuropsychiatric Genetics (2024) Vol. 195, Iss. 8
Open Access | Times Cited: 1
Autism detection in children based on facial image data using RPY axial facial features and Dual Phase Net model
Nilofer Attar, Shilpa Paygude
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Combining Deep Learning and Graph-Theoretic Brain Features to Detect Posttraumatic Stress Disorder at the Individual Level
Ziyu Zhu, Du Lei, Kun Qin, et al.
Diagnostics (2021) Vol. 11, Iss. 8, pp. 1416-1416
Open Access | Times Cited: 11
Abnormal metabolic connectivity in default mode network of right temporal lobe epilepsy
Xiaoyang Wang, Dandan Lin, Chunlei Zhao, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 4
Has Machine Learning Enhanced the Diagnosis of Autism Spectrum Disorder?
Rudresh Deepak Shirwaikar, Iram Sarwari, Mehwish Najam, et al.
Critical Reviews in Biomedical Engineering (2023) Vol. 51, Iss. 1, pp. 1-14
Closed Access | Times Cited: 4
ASD2-TL∗ GTO: Autism spectrum disorders detection via transfer learning with gorilla troops optimizer framework
Abdulqader M. Almars, Mahmoud Badawy, Mostafa A. Elhosseini
Heliyon (2023) Vol. 9, Iss. 11, pp. e21530-e21530
Open Access | Times Cited: 4
Autism Spectrum Disorder Detection by Hybrid Convolutional Recurrent Neural Networks from Structural and Resting State Functional MRI Images
E. Koc, Habil Kalkan, Semih Bilgen
Autism Research and Treatment (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 3
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
A new Autism Spectrum Disorder Discovery (ASDD) strategy using data mining techniques based on blood tests
Ahmed I. Saleh, Asmaa H. Rabie
Biomedical Signal Processing and Control (2022) Vol. 81, pp. 104419-104419
Closed Access | Times Cited: 5
Improving Brain Dysfunction Prediction by GAN: A Functional-Connectivity Generator Approach
Da Yan, Wu Shengbin, Mirza Tanzim Sami, et al.
2021 IEEE International Conference on Big Data (Big Data) (2021), pp. 1514-1522
Closed Access | Times Cited: 6
A sex-dependent functional-effective connectivity model for diagnostic classification of Autism Spectrum Disorder using resting-state fMRI
Hossein Haghighat
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104837-104837
Closed Access | Times Cited: 2
An ASD Classification Based on a Pseudo 4D ResNet: Utilizing Spatial and Temporal Convolution
Shuaiqi Liu, Siqi Wang, Hong Zhang, et al.
IEEE Systems Man and Cybernetics Magazine (2023) Vol. 9, Iss. 3, pp. 9-18
Closed 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
Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network
Yueen Ma, Da Yan, Cheng Long, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2021), pp. 1-8
Closed Access | Times Cited: 5
Predictive Analysis of Autism Spectrum Disorder using Machine Learning Techniques*
T. Arathi, Samyukths Sasikumar, A S Vishnu Mahesh
(2024), pp. 1-6
Closed Access
Diagnosis of Autism Spectrum Disorders Based on fMRI
Xiaojie Zhao, Peng Wu
(2024), pp. 259-264
Closed Access
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging
Mehak Mengi, Deepti Malhotra
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106337-106337
Closed Access

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