Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 1-25 of 34 citing articles:

Autism Spectrum Disorder detection framework for children based on federated learning integrated CNN-LSTM
Abdullah Lakhan, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107539-107539
Closed Access | Times Cited: 41
The emergence of artificial intelligence in autism spectrum disorder research: A review of neuro imaging and behavioral applications
i b, P. M. Durai Raj Vincent
Computer Science Review (2025) Vol. 56, pp. 100718-100718
Closed Access | Times Cited: 1
Deep learning with image-based autism spectrum disorder analysis: A systematic review
Md. Zasim Uddin, Md Shahriar, Md. Nadim Mahamood, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107185-107185
Closed Access | Times Cited: 23
A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md. Sadman Hafiz, Jamin Rahman Jim, et al.
Healthcare Analytics (2024) Vol. 5, pp. 100340-100340
Open Access | Times Cited: 13
3T dilated inception network for enhanced autism spectrum disorder diagnosis using resting-state fMRI data
V. Kavitha, C. Siva Ram Murthy
Cognitive Neurodynamics (2025) Vol. 19, Iss. 1
Closed Access
INN-ASDNet: Embracing Involutional Neural Networks and Random Forest for Prediction of Autism Spectrum Disorder
Bhagya Lakshmi Polavarapu, Mahesh Kumar Morampudi, T N Tarun, et al.
Arabian Journal for Science and Engineering (2025)
Closed Access
Coral Reef Species Detection with a Modified Xception Based Model
N. Gautam, Mayank Mishra, Umesh Chandra Pati
Lecture notes in electrical engineering (2025), pp. 159-172
Closed Access
Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features
Gokul Manoj, Vaibhavi Gupta, Aditi Bhattacharya, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Identification of petroleum derivatives in olive oil by near infrared spectroscopy combined with convolutional neural network and long short-term memory interpretative analysis
Jingwen Zhu, Jihong Deng, Fanzhen Meng, et al.
Microchemical Journal (2025), pp. 112874-112874
Closed Access
AI-enabled Computational Intelligence Approach to Neurodevelopmental Disorders Detection Using rs-fMRI Data
Soham Bandyopadhyay, Monalisa Sarma, Debasis Samanta
Computers & Electrical Engineering (2025) Vol. 123, pp. 110117-110117
Closed Access
Leveraging Deep Learning for Enhanced Diagnosis of Autism Spectrum Disorder using Resting-State functional Magnetic Resonance Imaging and Clinical Data
A. Sheik Abdullah, V Keerthana, S. Geetha, et al.
Results in Engineering (2025), pp. 104444-104444
Open Access
White blood cell automatic classification using deep learning and optimized quaternion hybrid moments
Mohamed Amine Tahiri, Fatima Zohra El Hlouli, Ahmed Bencherqui, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105128-105128
Closed Access | Times Cited: 9
Autism Spectrum Disorder Classification in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder
Ruimin Ma, Ruitao Xie, Yanlin Wang, et al.
(2023)
Open Access | Times Cited: 7
Utilizing Machine Learning and employing the XGBoost Classification Technique for evaluating the likelihood of Autism Spectrum Disorder (ASD)
Khushi Mittal, Kanwarpartap Singh Gill, Kapil Rajput, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 2
Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset
Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, et al.
Mathematics (2024) Vol. 12, Iss. 18, pp. 2886-2886
Open Access | Times Cited: 2
Semantic segmentation of defects based on DCNN and its application on fatigue lifetime prediction for SLM Ti-6Al-4V alloy
Jinchao Pan, Dianyin Hu, Liucheng Zhou, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2023) Vol. 382, Iss. 2264
Closed Access | Times Cited: 4
Ensemble Transfer Learning Techniques for Classification of Autism Spectrum Disorder
Venkata Ratna Prabha K, Venkata Bhavana S, G Suryapushpanjali, et al.
(2024), pp. 452-457
Closed Access | Times Cited: 1
Using Machine Learning and the K-Nearest Neighbour Classification Method to Assess Autism Risk
Muskan Singla, Kanwarpartap Singh Gill, Priyanshi Aggarwal, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 1
Deep Learning-Based Diagnosis of ASD Using Pre-Trained Convolutional Neural Network
S. Nivedhitha, Akshaya MV, Praveen Kumar Govarthan, et al.
(2023), pp. 584-589
Closed Access | Times Cited: 2
Machine Learning Based Developmental Capability Prediction: A Diagnosis to the Learning Capacity Disorder for Specially-Abled Children
Priya Chandran
International Journal of Information and Education Technology (2024) Vol. 14, Iss. 2, pp. 240-247
Open 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
Utilization of Naive Bayes Classifier for Autism Risk Assessment Using Machine Learning
Kanwarpartap Singh Gill, Bhavya, Deepak Upadhyay, et al.
(2024), pp. 1-5
Closed Access
Establishing a Machine Learning-Based Random Forest Classifier to Estimate Autism Risk
Kanwarpartap Singh Gill, Jhalak Agrawal, Rahul Chauhan, et al.
(2024), pp. 1-6
Closed Access
Applying Machine Learning and the Gradient Boosting Classification Method for Evaluating the Probability of Autism
Khushi Mittal, Kanwarpartap Singh Gill, Deepak Upadhyay, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access
Utilizing Cutting-Edge Deep Learning Strategies and Harnessing the Power of a Pre-Trained ResNet18 Convolutional Neural Network for Assessing the Risk of Autism
Muskan Singla, Kanwarpartap Singh Gill, Priyanshi Aggarwal, et al.
(2024), pp. 01-06
Closed Access
Page 1 - Next Page

Scroll to top