OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Affective Computing is 43. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)

Article	Citations
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks	576
Deep Facial Expression Recognition: A Survey	573
Review on Psychological Stress Detection Using Biosignals	255
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups	245
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks	227
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition	181
Survey on Emotional Body Gesture Recognition	171
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention	162
Visually Interpretable Representation Learning for Depression Recognition from Facial Images	122
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition	121
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health	116
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity	114
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing	108
Automatic Recognition Methods Supporting Pain Assessment: A Survey	104
Self-Supervised ECG Representation Learning for Emotion Recognition	103
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey	100
Deep Learning for Human Affect Recognition: Insights and New Developments	98
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition	93
Emotion Recognition on Twitter: Comparative Study and Training a Unison Model	87
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network	86
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals	84
Novel Audio Features for Music Emotion Recognition	83
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset	79
An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness	75
Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion	74

Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research	71
Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources	67
A Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition	65
Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures	60
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition	59
Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features	57
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition	57
The Ordinal Nature of Emotions: An Emerging Approach	56
Facial Expression Recognition with Identity and Emotion Joint Learning	56
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)	51
Feature Selection Based Transfer Subspace Learning for Speech Emotion Recognition	51
Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM	50
Facial Action Unit Detection Using Attention and Relation Learning	49
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework	49
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition	48
Spectral Representation of Behaviour Primitives for Depression Analysis	46
A Deeper Look at Facial Expression Dataset Bias	44
Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms	43
Induction and Profiling of Strong Multi-Componential Emotions in Virtual Reality	43
Computer Vision Analysis for Quantification of Autism Risk Behaviors	43
Multi-Modal Pain Intensity Recognition Based on the SenseEmotion Database	43
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition	43
Strategies to Utilize the Positive Emotional Contagion Optimally in Crowd Evacuation	43