Leaderboards/Blind Source Separation Techniques

Blind Source Separation Techniques

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Emadeldeen Eldele
Agency for Science, Technology and Research
2
Sean L. Metzger
Neurological Surgery
3
Angela F. Gao
California Institute of Technology
4
Pedro J. Freire
Aston University
5
ChiYan Lee
University of Toyama
6
Syed Muhammad Usman
Bahria University
7
Yanjiao Wang
Guangdong University of Technology
8
Mingkan Shen
Mater Health Services
9
Jiechong Song
Peking University
10
Athar A. Ein Shoka
Menoufia University

Rising Stars Papers

1
Computational Complexity Optimization of Neural Network-Based Equalizers in Digital Signal Processing: A Comprehensive Approach
Journal of Lightwave Technology|2024
72 cit.
2
Online identification of Hammerstein systems with B‐spline networks
International Journal of Adaptive Control and Signal Processing|2024
57 cit.
3
A real-time epilepsy seizure detection approach based on EEG using short-time Fourier transform and Google-Net convolutional neural network
Heliyon|2024
39 cit.
4
Online estimation method for extreme learning machine with kernels based on the multi-innovation theory and intelligent optimization strategy
ISA Transactions|2024
30 cit.
5
Multimodal consumer choice prediction using EEG signals and eye tracking
Frontiers in Computational Neuroscience|2025
13 cit.
6
An efficient recursive support vector machine regression method based on tensor train decomposition and Aitken acceleration technique
Journal of Computational and Applied Mathematics|2026
6 cit.
7
Muti-band Morlet mutual information functional connectivity for classifying Alzheimer's disease and frontotemporal dementia with a deep learning technique
Computers in Biology and Medicine|2025
2 cit.
8
Early Stage Detection of Colorectal Cancer using Segmentation of Polyps
Unknown Journal|2025
1 cit.
9
From data to decision: a multi-stage framework for class imbalance mitigation in optical network failure analysis
Journal of Optical Communications and Networking|2025
1 cit.
10
CLEAR: Colon Segmentation with Liquid Error Avoidance and Refinement for VR Colonography
Unknown Journal|2025
0 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Jakob Hoydis
Nokia (France)
2
Yoram Ben‐Shaul
Hebrew University of Jerusalem
3
Jitong Chen
East China University of Science and Technology
4
Andriy Mnih
University of Toronto
5
Shuo Feng
Tsinghua University
6
Pieter Kubben
Maastricht University
7
Chuanyan Xu
Shandong Jiaotong University
8
Hania Aftab
COMSATS University Islamabad
9
Vincent Guigue
AgroParisTech
10
Katherine L. Bouman
California Institute of Technology

Emerging Leaders Papers

1
Dense reinforcement learning for safety validation of autonomous vehicles
Nature|2023
507 cit.
2
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling
Unknown Journal|2023
159 cit.
3
Curse of rarity for autonomous vehicles
Nature Communications|2024
67 cit.
4
Learning Radio Environments by Differentiable Ray Tracing
IEEE Transactions on Machine Learning in Communications and Networking|2024
39 cit.
5
Waveform Learning for Next-Generation Wireless Communication Systems
IEEE Transactions on Communications|2022
38 cit.
6
Vehicle Lane-Changing scenario generation using time-series generative adversarial networks with an Adaptative parameter optimization strategy
Accident Analysis & Prevention|2024
21 cit.
7
Adaptive Safety Evaluation for Connected and Automated Vehicles With Sparse Control Variates
IEEE Transactions on Intelligent Transportation Systems|2023
13 cit.
8
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)|2022
12 cit.
9
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision
2022 International Conference on Robotics and Automation (ICRA)|2022
11 cit.
10
The Bruce effect: Representational stability and memory formation in the accessory olfactory bulb of the female mouse
Cell Reports|2022
11 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Terrence J. Sejnowski
Salk Institute for Biological Studies
2
Scott Makeig
University of California San Diego
3
Klaus‐Robert Müller
Korea University
4
Stephen M. Smith
University of Oxford
5
John Langford
Carnegie Mellon University
6
Kuldip K. Paliwal
Griffith University
7
Michael B. Wakin
Colorado School of Mines
8
Joos Vandewalle
KU Leuven
9
S. Arnouts
Institut d'Astrophysique de Paris
10
José C. Prı́ncipe
ATLAS Neuroengineering (Belgium)

Current Senior Leaders Papers

1
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
Journal of Neuroscience Methods|2004
25k cit.
2
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Science|2000
13.7k cit.
3
SExtractor: Software for source extraction
Astronomy and Astrophysics Supplement Series|1996
11k cit.
4
An Introduction To Compressive Sampling
IEEE Signal Processing Magazine|2008
10k cit.
5
Bidirectional recurrent neural networks
IEEE Transactions on Signal Processing|1997
10k cit.
6
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
NeuroImage|2002
9.6k cit.
7
Least Squares Support Vector Machine Classifiers
Neural Processing Letters|1999
9.4k cit.
8
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Neural Computation|1995
9.2k cit.
9
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
Neural Computation|1998
8.1k cit.
10
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
IEEE Transactions on Medical Imaging|2001
7.3k cit.

Indexing Blind Source Separation Techniques Reagents

Citation data for reagents in this field is currently compiling.