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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:

Anomaly Detection of Moderate Traumatic Brain Injury Using Auto-Regularized Multi-Instance One-Class SVM
Waqas Rasheed, Tong Boon Tang
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 28, Iss. 1, pp. 83-93
Closed Access | Times Cited: 21

Showing 21 citing articles:

Clustering-based anomaly detection in multivariate time series data
Jingbo Li, Hesam Izakian, Witold Pedrycz, et al.
Applied Soft Computing (2020) Vol. 100, pp. 106919-106919
Closed Access | Times Cited: 155
Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals
Ahmad Shalbaf, Sara Bagherzadeh, Arash Maghsoudi
Physical and Engineering Sciences in Medicine (2020) Vol. 43, Iss. 4, pp. 1229-1239
Closed Access | Times Cited: 129
Isolation Forest-Voting Fusion-Multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection
Hai He, Haibo Yang, Francesco Mercaldo, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 253, pp. 108255-108255
Closed Access | Times Cited: 12
Improving security using SVM-based anomaly detection: issues and challenges
Mehdi Hosseinzadeh, Amir Masoud Rahmani, Bay Vo, et al.
Soft Computing (2020) Vol. 25, Iss. 4, pp. 3195-3223
Closed Access | Times Cited: 69
An Attention-Based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series
Tareq Tayeh, Sulaiman Aburakhia, Ryan Myers, et al.
Machine Learning and Knowledge Extraction (2022) Vol. 4, Iss. 2, pp. 350-370
Open Access | Times Cited: 36
Singlemode-Multimode-Singlemode Optical Fiber Sensor for Accurate Blood Pressure Monitoring
Yi-Neng Pang, Bin Liu, Juan Liu, et al.
Journal of Lightwave Technology (2022) Vol. 40, Iss. 13, pp. 4443-4450
Open Access | Times Cited: 35
Low-Altitude Aerial Video Surveillance via One-Class SVM Anomaly Detection from Textural Features in UAV Images
Danilo Avola, Luigi Cinque, A. Di Mambro, et al.
Information (2021) Vol. 13, Iss. 1, pp. 2-2
Open Access | Times Cited: 26
Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
Ariyo Oluwasanmi, Muhammad Umar Aftab, Edward Yellakuor Baagyere, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 123-123
Open Access | Times Cited: 26
Detection to anomalous data using hypersphere method with mapping transformation
Jian Zheng, Jian Zhang, Kui Yu, et al.
Expert Systems with Applications (2025), pp. 127972-127972
Closed Access
Autocorrelation Integrated Gaussian Based Anomaly Detection using Sensory Data in Industrial Manufacturing
Anas Saci, Arafat Al‐Dweik, Abdallah Shami
IEEE Sensors Journal (2021) Vol. 21, Iss. 7, pp. 9231-9241
Closed Access | Times Cited: 14
Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir
Matteo Cardoni, Danilo Pau, Laura Falaschetti, et al.
Electronics (2021) Vol. 10, Iss. 22, pp. 2836-2836
Open Access | Times Cited: 13
Local Binary Convolutional Neural Networks' Long Short-Term Memory Model for Human Embryos' Anomaly Detection
Sajad Einy, Esra ŞEN, Hasan Saygın, et al.
Scientific Programming (2023) Vol. 2023, pp. 1-11
Open Access | Times Cited: 5
HFO Detection in Epilepsy: A Stacked Denoising Autoencoder and Sample Weight Adjusting Factors-Based Method
Min Wu, Hongzhen Qin, Xiongbo Wan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021) Vol. 29, pp. 1965-1976
Open Access | Times Cited: 12
Current status of traumatic brain injury research in Malaysia: A systematic review
Alina Arulsamy, Mohd. Farooq Shaikh
Neuroscience Research Notes (2020) Vol. 3, Iss. 4, pp. 1-21
Open Access | Times Cited: 9
A Feature Extraction Method for Seizure Detection Based on Multi-Site Synchronous Changes and Edge Detection Algorithm
Xiang Gao, Yufang Yang, Fang Zhang, et al.
Brain Sciences (2022) Vol. 13, Iss. 1, pp. 52-52
Open Access | Times Cited: 5
Web Traffic Anomaly Detection Using a Hybrid Spatio-temporal Neural Network
Jing Bi, Lifeng Xu, Haitao Yuan, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023), pp. 5009-5014
Closed Access | Times Cited: 1
Precise Identification of Anomalies in Brats MR Brain Images using Metaheuristic Optimization Techniques
S. Imaculate Rosaline, K. Maheswari, B. Dhanasakkaravarthi, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024), pp. 64-69
Closed Access
One-class classification with confound control for cognitive screening in older adults using gait, fingertapping, cognitive, and dual tasks
Vânia Guimar�ães, Inês Sousa, RODRIGO FAUCZ MUNHOZ DA CUNHA, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 259, pp. 108508-108508
Open Access
FSVM: Federated Support Vector Machines for Smart City
Lichuan Ma, Lizhen Tang, Longxiang Gao, et al.
(2023), pp. 149-167
Closed Access
Dementia Diagnosis through Artificial Intelligence in Medical Images
Nivedita Manohar Mathkunti, U Ananathnagu, P M Ebin
(2023), pp. 1-6
Closed Access
Support Vector-Based Unsupervised Learning Approaches for Radio Frequency Interference Detection
Alexander Amache, Wessam Ajib, Mounir Boukadoum
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring) (2022), pp. 1-5
Closed Access
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