IEEE Transactions on Affective Computing

Papers
(The H4-Index of IEEE Transactions on Affective Computing is 59. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis954
ATTSF-Net: Attention-based Similarity Fusion Network for Audio-Visual Emotion Recognition522
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis486
Towards Contrastive Context-Aware Conversational Emotion Recognition337
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses279
From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention233
Mouse-Cursor Tracking: Simple Scoring Algorithms That Make it Work230
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals227
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition225
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks199
Facial Expression Recognition Using a Temporal Ensemble of Multi-Level Convolutional Neural Networks198
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals173
CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews172
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter165
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition152
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale142
ECPEC: Emotion-Cause Pair Extraction in Conversations142
Perceived Conversation Quality in Spontaneous Interactions132
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?127
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients122
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition111
Fusing of Electroencephalogram and Eye Movement With Group Sparse Canonical Correlation Analysis for Anxiety Detection107
Effects of Computerized Emotional Training on Children with High Functioning Autism106
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System106
Analyzing Emotions and Engagement During Cognitive Stimulation Group Training with the Pepper Robot105
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes104
Automatic Detection of Reflective Thinking in Mathematical Problem Solving Based on Unconstrained Bodily Exploration99
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition97
PainFormer: a Vision Foundation Model for Automatic Pain Assessment92
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network92
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition92
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance91
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History89
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals85
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users84
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies84
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions84
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch84
MPRNet: a Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition82
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network80
Facial Image-Based Automatic Assessment of Equine Pain79
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality78
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions78
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations78
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition77
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection77
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals74
The Recognition of Multiple Anxiety Levels Based on Electroencephalograph73
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress72
Review on Psychological Stress Detection Using Biosignals71
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?69
GHA: A Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media66
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli66
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations64
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation63
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification62
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets From Twitter61
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection60
Leveraging the Deep Learning Paradigm for Continuous Affect Estimation from Facial Expressions59
miMamba: EEG-based Emotion Recognition with Multi-scale Inverted Mamba Models59
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