2026 Saeid Sanei: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	41	8642	8396	524	517	388	11006

Overview

Saeid Sanei is affiliated with Nottingham Trent University in the United Kingdom. Their research spans across neuroscience and computer science, with a focus on cognitive neuroscience, signal processing, computational mechanics, artificial intelligence, and biomedical engineering.

The main topics of their scientific work include:

EEG and Brain-Computer Interfaces
Blind Source Separation Techniques
Neural dynamics and brain function
Functional Brain Connectivity Studies
Advanced Adaptive Filtering Techniques
Epilepsy research and treatment
Target Tracking and Data Fusion in Sensor Networks

Some of the venues where Saeid Sanei frequently publishes their research include:

Sensors
IEEE Access
IEEE Transactions on Neural Systems and Rehabilitation Engineering
International Journal of Neural Systems
IEEE Transactions on Biomedical Engineering

Frequent coauthors in their research collaborations are:

Amir Rastegarnia
Antonio Valentín
Azam Khalili
Bahman Abdi-Sargezeh
Reza Boostani

Recent papers authored or coauthored by Saeid Sanei cover various aspects of EEG signal processing, sleep stage classification, and brain connectivity analysis. These include:

A Combinatorial Deep Learning Structure for Precise Depth of Anesthesia Estimation From EEG Signals, 2021, IEEE Journal of Biomedical and Health Informatics
SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms, 2022, IEEE Transactions on Neural Systems and Rehabilitation Engineering
Recognition of Patient Groups with Sleep Related Disorders using Bio-signal Processing and Deep Learning, 2020, Sensors
Quantification of pain severity using EEG-based functional connectivity, 2021, Biomedical Signal Processing and Control
Classification of Low and High Schizotypy Levels via Evaluation of Brain Connectivity, 2022, International Journal of Neural Systems

Best Publications

EEG Signal Processing

Saeid Sanei;Jonathon Chambers

2475
Citations
A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications

Delaram Jarchi;James Pope;Tracey K. M. Lee;Larisa Tamjidi

230
Citations
Adaptive Processing of Brain Signals

Saeid Sanei

210
Citations
A gradient-based alternating minimization approach for optimization of the measurement matrix in compressive sensing

Vahid Abolghasemi;Saideh Ferdowsi;Saeid Sanei

193
Citations
Artifact removal from electroencephalograms using a hybrid BSS-SVM algorithm

L. Shoker;S. Sanei;J. Chambers

171
Citations
Introduction to EEG

Saeid Sanei;J.A. Chambers

169
Citations
Localizing Heart Sounds in Respiratory Signals Using Singular Spectrum Analysis

F. Ghaderi;H. R. Mohseni;S. Sanei

164
Citations
Singular Spectrum Analysis of Biomedical Signals

Saeid Sanei;Hossein Hassani

163
Citations
A unified approach to sparse signal processing

Farokh Marvasti;Arash Amini;Farzan Haddadi;Mehdi Soltanolkotabi

158
Citations
On optimization of the measurement matrix for compressive sensing

Vahid Abolghasemi;Saideh Ferdowsi;Bahador Makkiabadi;Saeid Sanei

152
Citations
An adaptive singular spectrum analysis approach to murmur detection from heart sounds

Saeid Sanei;Mansoureh Ghodsi;Hossein Hassani

142
Citations
Deep learning for epileptic intracranial EEG data

Andreas Antoniades;Loukianos Spyrou;Clive Cheong Took;Saeid Sanei

140
Citations
A New Adaptive Line Enhancer Based on Singular Spectrum Analysis

S. Sanei;T. K. M. Lee;V. Abolghasemi

131
Citations
Multiscale Fluctuation-based Dispersion Entropy and its Applications to Neurological Diseases

Hamed Azami;Steven E. Arnold;Saeid Sanei;Zhuoqing Chang

117
Citations
Localizing Microaneurysms in Fundus Images Through Singular Spectrum Analysis

Su Wang;Hongying Lilian Tang;Lutfiah Ismail Al turk;Yin Hu

114
Citations
A comprehensive review of past and present vision-based techniques for gait recognition

Tracey K. Lee;Mohammed Belkhatir;Saeid Sanei

113
Citations
Deep Neural Architectures for Mapping Scalp to Intracranial EEG.

Andreas Antoniades;Loukianos Spyrou;David Martin-Lopez;Antonio Valentin

104
Citations
Penalty function-based joint diagonalization approach for convolutive blind separation of nonstationary sources

Wenwu Wang;S. Sanei;J.A. Chambers

99
Citations
Fast and incoherent dictionary learning algorithms with application to fMRI

Vahid Abolghasemi;Saideh Ferdowsi;Saeid Sanei

97
Citations
SleepFCN: A Fully Convolutional Deep Learning Framework for Sleep Stage Classification Using Single-Channel Electroencephalograms

Unknown

96
Citations
K-hyperline clustering learning for sparse component analysis

Zhaoshui He;Andrzej Cichocki;Yuanqing Li;Shengli Xie

94
Citations

Frequent Co-Authors

Jonathon A. Chambers Harbin Engineering University

Wenwu Wang University of Surrey

Sim Heng Ong National University of Singapore

Javier Escudero University of Edinburgh

Gonzalo Alarcón King's College London

Alexander Sumich Nottingham Trent University

Andrzej Cichocki Systems Research Institute

Danilo P. Mandic Imperial College London

Ali H. Sayed École Polytechnique Fédérale de Lausanne

Owen O'Daly King's College London

External Links

Personal website of Saeid Sanei Google Scholar page

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