| # | Title | Journal | Year | Citations |
|---|
| 1 | FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data | Computational Intelligence and Neuroscience | 2011 | 7,466 |
| 2 | Brainstorm: A User-Friendly Application for MEG/EEG Analysis | Computational Intelligence and Neuroscience | 2011 | 2,564 |
| 3 | Deep Learning for Computer Vision: A Brief Review | Computational Intelligence and Neuroscience | 2018 | 1,747 |
| 4 | Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification | Computational Intelligence and Neuroscience | 2016 | 1,066 |
| 5 | Spatiotemporal Analysis of Multichannel EEG: CARTOOL | Computational Intelligence and Neuroscience | 2011 | 568 |
| 6 | Ragu: A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics | Computational Intelligence and Neuroscience | 2011 | 565 |
| 7 | EEG and MEG Data Analysis in SPM8 | Computational Intelligence and Neuroscience | 2011 | 500 |
| 8 | EEGLAB, SIFT, NFT, BCILAB, and ERICA: New Tools for Advanced EEG Processing | Computational Intelligence and Neuroscience | 2011 | 495 |
| 9 | A Survey of Stimulation Methods Used in SSVEP-Based BCIs | Computational Intelligence and Neuroscience | 2010 | 449 |
| 10 | Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning | Computational Intelligence and Neuroscience | 2017 | 416 |
| 11 | Unveiling the Biometric Potential of Finger-Based ECG Signals | Computational Intelligence and Neuroscience | 2011 | 373 |
| 12 | Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks | Computational Intelligence and Neuroscience | 2007 | 358 |
| 13 | Self-Paced (Asynchronous) BCI Control of a Wheelchair in Virtual Environments: A Case Study with a Tetraplegic | Computational Intelligence and Neuroscience | 2007 | 353 |
| 14 | Prediction of Heart Disease Using a Combination of Machine Learning and Deep Learning | Computational Intelligence and Neuroscience | 2021 | 234 |
| 15 | LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data | Computational Intelligence and Neuroscience | 2011 | 220 |
| 16 | Bayesian Inference for Nonnegative Matrix Factorisation Models | Computational Intelligence and Neuroscience | 2009 | 217 |
| 17 | ElectroMagnetoEncephalography Software: Overview and Integration with Other EEG/MEG Toolboxes | Computational Intelligence and Neuroscience | 2011 | 204 |
| 18 | MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans | Computational Intelligence and Neuroscience | 2015 | 179 |
| 19 | A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles | Computational Intelligence and Neuroscience | 2017 | 165 |
| 20 | EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities | Computational Intelligence and Neuroscience | 2020 | 163 |
| 21 | BioSig: The Free and Open Source Software Library for Biomedical Signal Processing | Computational Intelligence and Neuroscience | 2011 | 161 |
| 22 | fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment | Computational Intelligence and Neuroscience | 2007 | 159 |
| 23 | Student Engagement Predictions in an e-Learning System and Their Impact on Student Course Assessment Scores | Computational Intelligence and Neuroscience | 2018 | 159 |
| 24 | A Human Activity Recognition System Using Skeleton Data from RGBD Sensors | Computational Intelligence and Neuroscience | 2016 | 158 |
| 25 | Deep Learning for Plant Identification in Natural Environment | Computational Intelligence and Neuroscience | 2017 | 155 |
| 26 | An Improved Cuckoo Search Optimization Algorithm for the Problem of Chaotic Systems Parameter Estimation | Computational Intelligence and Neuroscience | 2016 | 153 |
| 27 | Fully Online Multicommand Brain-Computer Interface with Visual Neurofeedback Using SSVEP Paradigm | Computational Intelligence and Neuroscience | 2007 | 150 |
| 28 | Multilayer Hybrid Deep-Learning Method for Waste Classification and Recycling | Computational Intelligence and Neuroscience | 2018 | 145 |
| 29 | A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm | Computational Intelligence and Neuroscience | 2019 | 143 |
| 30 | Fuzzy Emotional Semantic Analysis and Automated Annotation of Scene Images | Computational Intelligence and Neuroscience | 2015 | 142 |
| 31 | On the Use of EEG or MEG Brain Imaging Tools in Neuromarketing Research | Computational Intelligence and Neuroscience | 2011 | 141 |
| 32 | ELAN: A Software Package for Analysis and Visualization of MEG, EEG, and LFP Signals | Computational Intelligence and Neuroscience | 2011 | 134 |
| 33 | Sentiment Analysis Using Common-Sense and Context Information | Computational Intelligence and Neuroscience | 2015 | 131 |
| 34 | A Comparative Study of Human Thermal Face Recognition Based on Haar Wavelet Transform and Local Binary Pattern | Computational Intelligence and Neuroscience | 2012 | 128 |
| 35 | Designing Artificial Neural Networks Using Particle Swarm Optimization Algorithms | Computational Intelligence and Neuroscience | 2015 | 124 |
| 36 | Vibrotactile Feedback for Brain-Computer Interface Operation | Computational Intelligence and Neuroscience | 2007 | 122 |
| 37 | Fractional-Order Deep Backpropagation Neural Network | Computational Intelligence and Neuroscience | 2018 | 122 |
| 38 | Canonical Source Reconstruction for MEG | Computational Intelligence and Neuroscience | 2007 | 121 |
| 39 | Theorems on Positive Data: On the Uniqueness of NMF | Computational Intelligence and Neuroscience | 2008 | 117 |
| 40 | Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron | Computational Intelligence and Neuroscience | 2018 | 116 |
| 41 | PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction | Computational Intelligence and Neuroscience | 2011 | 111 |
| 42 | Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature | Computational Intelligence and Neuroscience | 2017 | 110 |
| 43 | Brain Connectivity Analysis: A Short Survey | Computational Intelligence and Neuroscience | 2012 | 109 |
| 44 | Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS | Computational Intelligence and Neuroscience | 2017 | 106 |
| 45 | An Improved Grey Wolf Optimization Algorithm with Variable Weights | Computational Intelligence and Neuroscience | 2019 | 105 |
| 46 | MEG/EEG Source Reconstruction, Statistical Evaluation, and Visualization with NUTMEG | Computational Intelligence and Neuroscience | 2011 | 104 |
| 47 | Epileptic Seizure Prediction Using CSP and LDA for Scalp EEG Signals | Computational Intelligence and Neuroscience | 2017 | 103 |
| 48 | A Robust and Self-Paced BCI System Based on a Four Class SSVEP Paradigm: Algorithms and Protocols for a High-Transfer-Rate Direct Brain Communication | Computational Intelligence and Neuroscience | 2009 | 101 |
| 49 | A Two-Stream Deep Fusion Framework for High-Resolution Aerial Scene Classification | Computational Intelligence and Neuroscience | 2018 | 101 |
| 50 | A Novel Bat Algorithm Based on Differential Operator and Lévy Flights Trajectory | Computational Intelligence and Neuroscience | 2013 | 100 |
