OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Affective Computing is 53. 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 2021-05-01 to 2025-05-01.)

Article	Citations
Effects of Computerized Emotional Training on Children with High Functioning Autism	818
Facial Expression Recognition Using a Temporal Ensemble of Multi-Level Convolutional Neural Networks	441
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals	421
Sparse Emotion Dictionary and CWT Spectrogram Fusion with Multi-head Self-Attention for Depression Recognition in Parkinson's Disease Patients	276
From EEG to Eye Movements: Cross-modal Emotion Recognition Using Constrained Adversarial Network with Dual Attention	255
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals	195
Towards Contrastive Context-Aware Conversational Emotion Recognition	190
Perceived Conversation Quality in Spontaneous Interactions	187
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition	183
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale	171
Mouse-cursor Tracking: Simple Scoring Algorithms That Make It Work	159
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection	150
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis	141
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition	138
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks	136
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter	123
ECPEC: Emotion-Cause Pair Extraction in Conversations	119
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses	110
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?	104
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions	102
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies	89
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users	86
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals	83
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch	83
Facial Image-Based Automatic Assessment of Equine Pain	81

Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions	78
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations	78
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance	77
Using Circular Models to Improve Music Emotion Recognition	77
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network	76
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?	75
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality	73
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System	73
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph	71
Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration	70
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress	69
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection	69
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes	68
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition	67
Review on Psychological Stress Detection Using Biosignals	66
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals	66
MECA: Manipulation with Emotional Intensity-aware Contrastive Learning and Attention-based Discriminative learning	62
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History	62
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection	60
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG For Major Depressive Disorder Detection	60
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling	58
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition	57
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition	56
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations	56
Non-Invasive Measurement of Trust in Group Interactions	56
Dynamic Confidence-Aware Multi-Modal Emotion Recognition	56
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions	55
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification	55
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli	53
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitter	53
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation	53