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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:

Attention deficit/hyperactivity disorder Classification based on deep spatio-temporal features of functional Magnetic Resonance Imaging
Shuaiqi Liu, Ling Zhao, Jie Zhao, et al.
Biomedical Signal Processing and Control (2021) Vol. 71, pp. 103239-103239
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Early attention-deficit/hyperactivity disorder (ADHD) with NeuroDCT-ICA and rhinofish optimization (RFO) algorithm based optimized ADHD-AttentionNet
Ahmed Alhussen, Ahmed I. Alutaibi, Sunil Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
ADHD identification and its interpretation of functional connectivity using deep self-attention factorization
Hengjin Ke, Fengqin Wang, Hongying Ma, et al.
Knowledge-Based Systems (2022) Vol. 250, pp. 109082-109082
Closed Access | Times Cited: 24
Multi-model adaptive fusion-based graph network for Alzheimer's disease prediction
Fusheng Yang, Huabin Wang, Shicheng Wei, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106518-106518
Closed Access | Times Cited: 16
Automatic classification of thyroid nodules in ultrasound images using a multi-task attention network guided by clinical knowledge
Pengju Deng, Xiaohong Han, Xi Wei, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106172-106172
Closed Access | Times Cited: 20
Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey
Christian Nash, Rajesh Nair, Syed Mohsen Naqvi
IEEE Access (2023) Vol. 11, pp. 86297-86317
Open Access | Times Cited: 12
CNNG: A Convolutional Neural Networks With Gated Recurrent Units for Autism Spectrum Disorder Classification
Wenjing Jiang, Shuaiqi Liu, Hong Zhang, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 19
ATTENTION DEFICIT HYPERACTIVITY DISORDER IDENTIFICATION: fMRI DATA ANALYZED with CNN and SEED-BASED APPROACH
Anika Siamin Oyshi, Mohammad Jahid Hasan, Mohsin Y Ahmed, et al.
Brain Disorders (2025), pp. 100198-100198
Open Access
Local interpretable model-agnostic explanations guided brain magnetic resonance imaging classification for identifying attention deficit hyperactivity disorder subtypes
K. Usha Rupni, P. Aruna Priya
Journal of Ambient Intelligence and Humanized Computing (2025)
Closed Access
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
ADHD classification combining biomarker detection with attention auto-encoding neural network
Ying Chen, Yuan Gao, Aimin Jiang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104733-104733
Closed Access | Times Cited: 5
Sparse non-convex regularization based explainable DBN in the analysis of brain abnormalities in schizophrenia
Jiajia Li, Faming Xu, Na Gao, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106664-106664
Closed Access | Times Cited: 4
Adaptive spatial-temporal neural network for ADHD identification using functional fMRI
Bo Qiu, Qianqian Wang, Xizhi Li, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
USMDA: Unsupervised Multisource Domain Adaptive ADHD prediction model using neuroimaging
Mehak Mengi, Deepti Malhotra
Knowledge-Based Systems (2024), pp. 112615-112615
Closed Access | Times Cited: 1
A Deep Learning Approach to Imputation of Dynamic Pupil Size Data and Prediction of ADHD
Seongyune Choi, Yeonju Jang, Hyeoncheol Kim
International Journal of Artificial Intelligence Tools (2022) Vol. 32, Iss. 06
Closed Access | Times Cited: 4
Hybrid Deep Learning Classification Model for Attention-Deficit-Hyperactivity Disorder using functional Magnetic Resonance Imaging
Usha Rupni K, P. Aruna Priya
(2023), pp. 688-693
Closed Access | Times Cited: 2
ADHD Classification with Biomarker Identification Using a Triplet Loss Attention Auto-Encoding Network
Yibin Tang, Ying Chen, Yuan Gao, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
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
ADHD Classification Based on fMRI Spatial-Temporal Features Using Monofractal and Multifractal Dimensions
Mengyunqiu Zhang, Sei‐ichiro Kamata
(2023), pp. 33-38
Closed Access | Times Cited: 1
ADHD Diagnosis and Biomarker Detection Based on Multimodal Graph Convolutional Neural Network
Yuan Gao, Xiaotong Wang, Aimin Jiang, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1911-1915
Closed Access
ADHD classification with cross-dataset feature selection for biomarker consistency detection
Xiaojing Meng, Ying Chen, Yuan Gao, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036012-036012
Closed Access
ADHD Classification Method based on Spatio-Temporal Multifractal Features Using Attention-Based Pyramid Feature Mixer Modules
Mengyunqiu Zhang, Sei‐ichiro Kamata, Pengfeng Lu
(2024), pp. 1-5
Closed Access
Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data
Di Gao, Guanghao Yang, Jiarun Shen, et al.
Frontiers in Computational Neuroscience (2024) Vol. 18
Open Access
Critical analysis of Parkinson’s disease detection using EEG sub-bands and gated recurrent unit
Nauman Khalid, Muhammad Ehsan
Engineering Science and Technology an International Journal (2024) Vol. 59, pp. 101855-101855
Open Access
DCFA-iTimeNet: Dynamic cross-fusion attention network for interpretable time series prediction
Jianjun Yuan, Fujun Wu, Luoming Zhao, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access
MTGWNN: A Multi‐Template Graph Wavelet Neural Network Identification Model for Autism Spectrum Disorder
Shengchang Shan, Yijie Ren, Zhuqing Jiao, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 35, Iss. 1
Closed Access
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