OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Affective Computing is 62. 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 2022-06-01 to 2026-06-01.)

Article	Citations
ECPEC: Emotion-Cause Pair Extraction in Conversations	1189
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals	717
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition	436
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients	310
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis	304
CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews	300
From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention	288
Mouse-Cursor Tracking: Simple Scoring Algorithms That Make it Work	256
ATTSF-Net: Attention-Based Similarity Fusion Network for Audio-Visual Emotion Recognition	232
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?	212
Perceived Conversation Quality in Spontaneous Interactions	203
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis	196
Towards Contrastive Context-Aware Conversational Emotion Recognition	173
Hug Synchronization Enhances Social Presence and Prosociality in Computer-Mediated Communication	164
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals	150
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition	150
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses	147
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale	144
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks	141
A Neuroadaptive Digital Twin System for Emotion Recognition and Socio-Emotional Training in Autistic Children	138
Computational Empathy in Affective LLMs: Architectures, Evaluation, and Clinical Deployment Challenges	134
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter	133
Identity-Free Artificial Emotional Intelligence via Micro-Gesture Understanding	130
Creating an Affective Robot That Feels Both Touch and Emotion	120
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition	116

The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network	115
MPRNet: A Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition	113
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History	112
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition	112
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection	111
Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings	111
Facial Image-Based Automatic Assessment of Equine Pain	107
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes	105
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions	104
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network	96
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions	88
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies	87
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition	86
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress	84
PainFormer: A Vision Foundation Model for Automatic Pain Assessment	83
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality	80
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?	80
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch	78
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users	77
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition	77
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System	76
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals	76
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance	74
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations	73
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals	73
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation	73
Analyzing Emotions and Engagement During Cognitive Stimulation Group Training With the Pepper Robot	72
TouchTales: A Care-Centered Protocol for Recognizing Authentic Emotion From Naturalistic Touching and Telling	72
Video-Based Cross-Domain Emotion Recognition Via Sample-Graph Relations Self-Distillation	71
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets From Twitter	67
Non-Invasive Measurement of Trust in Group Interactions	66
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations	66
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli	64
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition	63
MECA: Manipulation With Emotional Intensity-Aware Contrastive Learning and Attention-Based Discriminative Learning	63
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition	62
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation	62