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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:

Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices
Nitin Grover, Aviral Chharia, Rahul Upadhyay, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 464-473
Open Access | Times Cited: 13

Showing 13 citing articles:

Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari
Archives of Computational Methods in Engineering (2024) Vol. 31, Iss. 4, pp. 2345-2384
Closed Access | Times Cited: 18
Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: A comprehensive review from 2002–2023
Mahboobeh Jafari, Delaram Sadeghi, Afshin Shoeibi, et al.
Applied Intelligence (2023) Vol. 54, Iss. 1, pp. 35-79
Closed Access | Times Cited: 19
A novel approach to schizophrenia Detection: Optimized preprocessing and deep learning analysis of multichannel EEG data
Sridevi Srinivasan, J. Shiny Duela
Expert Systems with Applications (2023) Vol. 246, pp. 122937-122937
Closed Access | Times Cited: 11
EISATC-Fusion: Inception Self-Attention Temporal Convolutional Network Fusion for Motor Imagery EEG Decoding
Guangjin Liang, Dianguo Cao, Jinqiang Wang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 1535-1545
Open Access | Times Cited: 4
Automated schizophrenia detection model using blood sample scattergram images and local binary pattern
Burak Taşçı, Gülay TAŞCI, Hakan Ayyıldız, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 42735-42763
Closed Access | Times Cited: 9
EEG-based schizophrenia classification using penalized sequential dictionary learning in the context of mobile healthcare
Usman Haider, Muhammad Hanif, Ahmar Rashid, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105856-105856
Closed Access | Times Cited: 8
EEG-Based Taste Perception Classification Using PCA Enhanced Attention-TLSTM Neural Network
Sagnik De, Prithwijit Mukherjee, Dipanjan Konar, et al.
(2023), pp. 01-06
Closed Access | Times Cited: 5
AromaNet: Integrating Attention Mechanism with Convolutional Neural Network for Olfactory Perception Classification Using EEG Signals
Sagnik De, Prithwijit Mukherjee, Dipanjan Konar, et al.
(2023), pp. 01-06
Closed Access | Times Cited: 4
Modeling Mental Health: Advances in Predictive Science towards Proactive Health Care
Nithya Jayakumar, N Reshma
(2024), pp. 202-206
Closed Access | Times Cited: 1
Multimodal Assessment of Schizophrenia Symptom Severity From Linguistic, Acoustic and Visual Cues
Chih-Yuan Chuang, Yi‐Ting Lin, Chen‐Chung Liu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 3469-3479
Open Access | Times Cited: 3
Analysis of Motor Imagery EEG Signals Based on Multi-Modal Spatio-Temporal Contrastive Learning
Qiaoli Zhou, Yongqiang Shi, Xiyuan Ye
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 33, pp. 1-8
Closed Access
A review of studies on constructing classification models to identify mental illness using brain effective connectivity
Fangfang Huang, Yuan Huang, Su Guo, et al.
Psychiatry Research Neuroimaging (2024) Vol. 346, pp. 111928-111928
Closed Access
cAPTured: Neural Reflex Arc-Inspired Fuzzy Continual Learning for Capturing in Silico Aptamer-Target Protein Interactions
Aviral Chharia, Runjhun Saran, Apurva Narayan
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-9
Closed Access
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