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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:

A semi-supervised autoencoder for autism disease diagnosis
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2022) Vol. 483, pp. 140-147
Closed Access | Times Cited: 24

Showing 24 citing articles:

Modern views of machine learning for precision psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
Patterns (2022) Vol. 3, Iss. 11, pp. 100602-100602
Open Access | Times Cited: 83
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 74
FuzzyNet-Based Modelling Smart Traffic System in Smart Cities Using Deep Learning Models
Pawan Kumar Mall, Vipul Narayan, Sabyasachi Pramanik, et al.
Advances in data mining and database management book series (2023), pp. 76-95
Closed Access | Times Cited: 53
Artificial intelligence and machine learning in pain research: a data scientometric analysis
Jörn Lötsch, Alfred Ultsch, Benjamin Mayer, et al.
PAIN Reports (2022) Vol. 7, Iss. 6, pp. e1044-e1044
Open Access | Times Cited: 38
Eye Tracking Biomarkers for Autism Spectrum Disorder Detection using Machine Learning and Deep Learning Techniques: Review
R. Asmetha Jeyarani, Radha Senthilkumar
Research in autism spectrum disorders (2023) Vol. 108, pp. 102228-102228
Open Access | Times Cited: 18
Classification of recurrent major depressive disorder using a residual denoising autoencoder framework: Insights from large-scale multisite fMRI data
Peishan Dai, Yun Q. Shi, Da Lu, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 247, pp. 108114-108114
Closed Access | Times Cited: 4
PseudoBound: Limiting the anomaly reconstruction capability of one-class classifiers using pseudo anomalies
Marcella Astrid, Muhammad Zaigham Zaheer, Seung‐Ik Lee
Neurocomputing (2023) Vol. 534, pp. 147-160
Open Access | Times Cited: 12
Semi-Supervised Autoencoder for Chemical Gas Classification with FTIR Spectrum
Hee-Deok Jang, Seokjoon Kwon, Hyunwoo Nam, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3601-3601
Open Access | Times Cited: 3
Skin cancer detection through attention guided dual autoencoder approach with extreme learning machine
Ritesh Maurya, Satyajit Mahapatra, Malay Kishore Dutta, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
A semi-supervised feature contrast convolutional neural network for processes fault diagnosis
Yuguo Yang, Hongbo Shi, Yang Tao, et al.
Journal of the Taiwan Institute of Chemical Engineers (2023) Vol. 151, pp. 105098-105098
Closed Access | Times Cited: 8
Utilizing Constructed Neural Networks for Autism Screening
Eugenia I. Toki, Jenny Pange, Giorgos Tatsis, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3053-3053
Open Access | Times Cited: 2
DeepGCN based on variable multi‐graph and multimodal data for ASD diagnosis
Shuaiqi Liu, Siqi Wang, Chaolei Sun, et al.
CAAI Transactions on Intelligence Technology (2024) Vol. 9, Iss. 4, pp. 879-893
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
Exploring high-order correlations with deep-broad learning for autism spectrum disorder diagnosis
Xiaoke Hao, Qijin An, Jiayang Li, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 11
A Semi-Supervised Speech Deception Detection Algorithm Combining Acoustic Statistical Features and Time-Frequency Two-Dimensional Features
Hongliang Fu, Hang Yu, Xuemei Wang, et al.
Brain Sciences (2023) Vol. 13, Iss. 5, pp. 725-725
Open Access | Times Cited: 4
Additive autoencoder for dimension estimation
Tommi Kärkkäinen, Jan Hänninen
Neurocomputing (2023) Vol. 551, pp. 126520-126520
Open Access | Times Cited: 4
Supervised Approach to Identify Autism Spectrum Neurological Disorder via Label Distribution Learning
N V L M Krishna Munagala, V. Saravanan, Firas Husham Almukhtar, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
A3SOM, abstained explainable semi-supervised neural network based on self-organizing map
Constance Creux, Farida Zehraoui, Blaise Hanczar, et al.
PLoS ONE (2023) Vol. 18, Iss. 5, pp. e0286137-e0286137
Open Access | Times Cited: 2
Bridge anomaly detection based on reconstruction error and structural similarity of unsupervised convolutional auto-encoder
Shuai Teng, Zongchao Liu, Wenjun Luo, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2221-2237
Closed Access | Times Cited: 2
A personalized classification model using similarity learning via supervised autoencoder
Hyunjae Jo, Chi‐Hyuck Jun
Applied Soft Computing (2022) Vol. 131, pp. 109773-109773
Closed Access | Times Cited: 3
Identification of Autism Spectrum Disorder Using Topological Data Analysis
Xudong Zhang, Ya‐Ru Gao, Yunge Zhang, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1023-1037
Open Access
Trailblazing ASD Behavioral Research: Leveraging Modified MLP with Cross-Weighted Attention Mechanism at the Forefront
Mohemmed Sha, Abdullah Alqahtani, Shtwai Alsubai, et al.
Deleted Journal (2024) Vol. 3, Iss. 4
Open Access
Development and Validation of Prediction Models for the Diagnosis of Autism Spectrum Disorder in a Korean General Population
Hyelee Kim, Bennett Leventhal, Yun‐Joo Koh, et al.
JAACAP Open (2024)
Open Access
Modern Views of Machine Learning for Precision Psychiatry
Zhe Chen, Prathamesh Kulkarni, Isaac R. Galatzer‐Levy, et al.
(2022)
Open Access
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