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 2020-11-01 to 2024-11-01.)

Article	Citations
Deep Facial Expression Recognition: A Survey	663
Review on Psychological Stress Detection Using Biosignals	326
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks	321
AMIGOS: A Dataset for Affect, Personality and Mood Research on Individuals and Groups	274
GCB-Net: Graph Convolutional Broad Network and Its Application in Emotion Recognition	211
Survey on Emotional Body Gesture Recognition	208
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention	199
A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition	159
Self-Supervised ECG Representation Learning for Emotion Recognition	140
Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey	136
An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals	131
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition	129
Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity	129
Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network	126
Utilizing Deep Learning Towards Multi-Modal Bio-Sensing and Vision-Based Affective Computing	118
Deep Learning for Human Affect Recognition: Insights and New Developments	114
Automatic Recognition Methods Supporting Pain Assessment: A Survey	113
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research	103
Facial Expression Recognition With Visual Transformers and Attentional Selective Fusion	103
Exploiting Multi-CNN Features in CNN-RNN Based Dimensional Emotion Recognition on the OMG in-the-Wild Dataset	97
An EEG-Based Brain Computer Interface for Emotion Recognition and Its Application in Patients with Disorder of Consciousness	91
Video-Based Depression Level Analysis by Encoding Deep Spatiotemporal Features	73
A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition	70
Integrating Deep and Shallow Models for Multi-Modal Depression Analysis—Hybrid Architectures	68
TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition	68

Facial Expression Recognition with Identity and Emotion Joint Learning	67
Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM	65
Improving Cross-Corpus Speech Emotion Recognition with Adversarial Discriminative Domain Generalization (ADDoG)	64
An Active Learning Paradigm for Online Audio-Visual Emotion Recognition	62
An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection	62
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection	62
The Ordinal Nature of Emotions: An Emerging Approach	62
Spectral Representation of Behaviour Primitives for Depression Analysis	59
A Deeper Look at Facial Expression Dataset Bias	59
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition	58
Facial Action Unit Detection Using Attention and Relation Learning	56
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals	55
Virtual Reality for Emotion Elicitation – A Review	55
Induction and Profiling of Strong Multi-Componential Emotions in Virtual Reality	54
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework	52
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition	52
Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms	51
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress	50
Facial Expression Recognition With Deeply-Supervised Attention Network	49
Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis	49
Dynamic Micro-Expression Recognition Using Knowledge Distillation	47
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis	46