OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Affective Computing is 46. 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 2020-09-01 to 2024-09-01.)

Article	Citations
Deep Facial Expression Recognition: A Survey	639
Review on Psychological Stress Detection Using Biosignals	301
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks	293
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups	265
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition	205
Survey on Emotional Body Gesture Recognition	195
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention	190
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition	151
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey	134
Self-Supervised ECG Representation Learning for Emotion Recognition	129
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity	125
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition	122
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals	122
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network	120
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing	117
Automatic Recognition Methods Supporting Pain Assessment: A Survey	112
Deep Learning for Human Affect Recognition: Insights and New Developments	111
Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion	100
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset	95
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research	94
Novel Audio Features for Music Emotion Recognition	94
An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness	84
A Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition	74
Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features	71
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition	69

Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures	67
Facial Expression Recognition with Identity and Emotion Joint Learning	65
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)	63
Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM	62
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition	60
The Ordinal Nature of Emotions: An Emerging Approach	60
A Deeper Look at Facial Expression Dataset Bias	58
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition	58
An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection	58
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition	57
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection	56
Strategies to Utilize the Positive Emotional Contagion Optimally in Crowd Evacuation	54
Facial Action Unit Detection Using Attention and Relation Learning	54
Spectral Representation of Behaviour Primitives for Depression Analysis	53
Virtual Reality for Emotion Elicitation – A Review	52
Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms	50
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework	50
Induction and Profiling of Strong Multi-Componential Emotions in Virtual Reality	50
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals	49
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis	48
Facial Expression Recognition With Deeply-Supervised Attention Network	48
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress	46