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 of autism spectrum disorder based on structural brain MRI images using, grid search optimization, and convolutional neural networks
H. Selçuk Noğay, Hojjat Adeli
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104234-104234
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

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

A Method based on Evolutionary Algorithms and Channel Attention Mechanism to Enhance Cycle Generative Adversarial Network Performance for Image Translation
Yu Xue, Y.X. Zhang, Ferrante Neri
International Journal of Neural Systems (2023) Vol. 33, Iss. 05
Open Access | Times Cited: 27

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

An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation
Jianping Dong, Gexiang Zhang, Yangheng Hu, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 10

A Parallel Convolutional Network Based on Spiking Neural Systems
Chi Zhou, Lulin Ye, Hong Peng, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 05
Closed Access | Times Cited: 9

A Novel Pipeline Age Evaluation: Considering Overall Condition Index and Neural Network Based on Measured Data
Hassan Noroznia, Majid Gandomkar, Javad Nikoukar, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 252-268
Open Access | Times Cited: 16

Epileptic Seizure Prediction Using Spatiotemporal Feature Fusion on EEG
Dezan Ji, Landi He, Xingchen Dong, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 7

Semi-supervised semantic image segmentation by deep diffusion models and generative adversarial networks
José Ángel Díaz-Francés, José David Fernández-Rodríguez, Karl Thurnhofer‐Hemsi, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 11
Closed Access | Times Cited: 6

Joint VMD and PSSVM optimization algorithm for seizure prediction based on ECG signals
Yunlin Chen, Duanpo Wu, K. Wei, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107478-107478
Closed Access

Machine learning in automated diagnosis of autism spectrum disorder: a comprehensive review
Khosro Rezaee
Computer Science Review (2025) Vol. 56, pp. 100730-100730
Closed Access

An intellectual autism spectrum disorder classification framework in healthcare industry using ViT-based adaptive deep learning model
R Parvathy, Rajesh Arunachalam, Sukumaran Damodaran, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107737-107737
Closed Access

Image‐based food groups and portion prediction by using deep learning
H. Selçuk Noğay, Nalan Hakime Noğay, Hojjat Adeli
Journal of Food Science (2025) Vol. 90, Iss. 3
Open Access

Optimized attention-enhanced U-Net for autism detection and region localization in MRI
Venkata Ratna Prabha K, Chinni Hima Bindu, K. Rama Devi
Psychiatry Research Neuroimaging (2025) Vol. 349, pp. 111970-111970
Closed Access

Epileptic Seizure Prediction Using Attention Augmented Convolutional Network
Dongsheng Liu, Xingchen Dong, Dong Bian, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 11
Closed Access | Times Cited: 14

Enhancing Robustness of Medical Image Segmentation Model with Neural Memory Ordinary Differential Equation
Junjie Hu, Chengrong Yu, Yi Zhang, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 12
Open Access | Times Cited: 14

Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification
Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28147-e28147
Open Access | Times Cited: 4

Enhancing Diagnostic Accuracy for Autism with BRCNet: A Novel Approach for Brain Region Segmentation and Classification Using Deep Learning
Manjunath Ramanna Lamani, Julian Benadit Pernabas, C. Guruprasad
Lecture notes in networks and systems (2025), pp. 373-385
Closed Access

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions
Mostafa Abdelrahim, Mohamed Khudri, Ahmed Elnakib, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103074-103074
Closed Access

An Enhanced Detection System of Autism Spectrum Disorder Using Thermal Imaging and Deep Learning
Jegan Amarnath J, S. Meera
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access

Deep learning in pediatric neuroimaging
Jian Wang, Jiaji Wang, Shuihua Wang‎, et al.
Displays (2023) Vol. 80, pp. 102583-102583
Open Access | Times Cited: 12

Predicting the Energy Consumption of Commercial Buildings Based on Deep Forest Model and Its Interpretability
Guangfa Zheng, Zao Feng, Mingkai Jiang, et al.
Buildings (2023) Vol. 13, Iss. 9, pp. 2162-2162
Open Access | Times Cited: 11

Deep learning approach to predict autism spectrum disorder: a systematic review and meta-analysis
Yang Ding, Heng Zhang, Ting Qiu
BMC Psychiatry (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3

A method for suspenders tension identification of bridges based on the spatio‐temporal correlation between the girder strain and suspenders tension
Qianen Xu, Qingfei Gao, Yang Liu
Computer-Aided Civil and Infrastructure Engineering (2024) Vol. 39, Iss. 11, pp. 1641-1658
Open Access | Times Cited: 3

Bridging Imaging and Clinical Scores in Parkinson’s Progression via Multimodal Self-Supervised Deep Learning
Francisco J. Martínez-Murcia, Juan E. Arco, C. Jiménez-Mesa, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 08
Closed Access | Times Cited: 3

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