IEEE Transactions on Affective Computing

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 2022-01-01 to 2026-01-01.)
ArticleCitations
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis1040
Mouse-Cursor Tracking: Simple Scoring Algorithms That Make it Work604
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals528
CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews379
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks304
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients267
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis261
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals247
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale247
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition227
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?225
Facial Expression Recognition Using a Temporal Ensemble of Multi-Level Convolutional Neural Networks218
From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention182
Hug Synchronization Enhances Social Presence and Prosociality in Computer-Mediated Communication177
ATTSF-Net: Attention-Based Similarity Fusion Network for Audio-Visual Emotion Recognition167
Creating an Affective Robot That Feels Both Touch and Emotion162
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition151
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter146
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition145
Towards Contrastive Context-Aware Conversational Emotion Recognition129
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection128
Perceived Conversation Quality in Spontaneous Interactions118
Analyzing Emotions and Engagement During Cognitive Stimulation Group Training with the Pepper Robot118
ECPEC: Emotion-Cause Pair Extraction in Conversations118
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses118
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition117
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance115
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?107
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition104
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network103
PainFormer: A Vision Foundation Model for Automatic Pain Assessment102
MPRNet: A Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition99
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph98
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch97
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals97
Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings96
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions93
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History92
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies90
Facial Image-Based Automatic Assessment of Equine Pain89
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection89
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions89
Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration87
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users87
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network84
Review on Psychological Stress Detection Using Biosignals83
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition81
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality77
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress75
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations73
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals71
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System70
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes68
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets From Twitter67
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation67
Non-Invasive Measurement of Trust in Group Interactions66
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions66
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification65
Age Against the Machine: How Age Relates to Listeners' Ability to Recognize Emotions in Robots' Semantic-Free Utterances65
MECA: Manipulation With Emotional Intensity-Aware Contrastive Learning and Attention-Based Discriminative Learning65
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli64
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition63
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