OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Affective Computing is 57. 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 2021-09-01 to 2025-09-01.)

Article	Citations
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals	921
From EEG to Eye Movements: Cross-modal Emotion Recognition Using Constrained Adversarial Network with Dual Attention	503
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition	468
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis	326
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks	276
Mouse-cursor Tracking: Simple Scoring Algorithms That Make It Work	225
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale	219
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients	219
Perceived Conversation Quality in Spontaneous Interactions	218
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?	194
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals	190
Facial Expression Recognition Using a Temporal Ensemble of Multi-Level Convolutional Neural Networks	169
Towards Contrastive Context-Aware Conversational Emotion Recognition	161
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis	161
ATTSF-Net: Attention-based Similarity Fusion Network for Audio-Visual Emotion Recognition	151
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter	142
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition	135
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection	120
ECPEC: Emotion-Cause Pair Extraction in Conversations	120
Effects of Computerized Emotional Training on Children with High Functioning Autism	120
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses	101
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch	100
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition	100
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals	98
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies	96

When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History	95
Facial Image-Based Automatic Assessment of Equine Pain	94
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress	89
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality	87
Review on Psychological Stress Detection Using Biosignals	87
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions	86
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users	85
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions	84
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection	82
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph	82
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals	81
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition	80
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?	79
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes	77
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System	76
Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration	76
MPRNet: a Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition	73
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network	72
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network	72
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations	71
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition	71
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance	70
GHA: A Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media	69
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations	68
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling	68
Non-Invasive Measurement of Trust in Group Interactions	66
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification	64
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions	63
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitter	61
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation	59
Age Against the Machine: How Age Relates to Listeners' Ability to Recognize Emotions in Robots' Semantic-Free Utterances	59
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition	59
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli	57
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG For Major Depressive Disorder Detection	57
MECA: Manipulation With Emotional Intensity-Aware Contrastive Learning and Attention-Based Discriminative Learning	57