IEEE Transactions on Affective Computing

Papers
(The TQCC of IEEE Transactions on Affective Computing is 17. 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.)
ArticleCitations
ECPEC: Emotion-Cause Pair Extraction in Conversations1189
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals717
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition436
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients310
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis304
CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews300
From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention288
Mouse-Cursor Tracking: Simple Scoring Algorithms That Make it Work256
ATTSF-Net: Attention-Based Similarity Fusion Network for Audio-Visual Emotion Recognition232
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?212
Perceived Conversation Quality in Spontaneous Interactions203
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis196
Towards Contrastive Context-Aware Conversational Emotion Recognition173
Hug Synchronization Enhances Social Presence and Prosociality in Computer-Mediated Communication164
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals150
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition150
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses147
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale144
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks141
A Neuroadaptive Digital Twin System for Emotion Recognition and Socio-Emotional Training in Autistic Children138
Computational Empathy in Affective LLMs: Architectures, Evaluation, and Clinical Deployment Challenges134
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter133
Identity-Free Artificial Emotional Intelligence via Micro-Gesture Understanding130
Creating an Affective Robot That Feels Both Touch and Emotion120
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition116
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network115
MPRNet: A Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition113
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History112
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition112
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection111
Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings111
Facial Image-Based Automatic Assessment of Equine Pain107
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes105
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions104
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network96
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions88
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies87
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition86
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress84
PainFormer: A Vision Foundation Model for Automatic Pain Assessment83
A Multi-Componential Approach to Emotion Recognition and the Effect of Personality80
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 Smartwatch78
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users77
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition77
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System76
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals76
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance74
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals73
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation73
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations73
TouchTales: A Care-Centered Protocol for Recognizing Authentic Emotion From Naturalistic Touching and Telling72
Analyzing Emotions and Engagement During Cognitive Stimulation Group Training With the Pepper Robot72
Video-Based Cross-Domain Emotion Recognition Via Sample-Graph Relations Self-Distillation71
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets From Twitter67
Non-Invasive Measurement of Trust in Group Interactions66
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations66
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli64
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition63
MECA: Manipulation With Emotional Intensity-Aware Contrastive Learning and Attention-Based Discriminative Learning63
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition62
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation62
Rethinking Emotion Annotations in the Era of Large Language Models60
Dynamic Confidence-Aware Multi-Modal Emotion Recognition60
Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement60
InterARM: Interpretable Affective Reasoning Model for Multimodal Sarcasm Detection58
miMamba: EEG-Based Emotion Recognition With Multi-Scale Inverted Mamba Models58
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition58
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification57
GHA: A Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media57
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling56
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection56
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection56
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition56
Age Against the Machine: How Age Relates to Listeners’ Ability to Recognize Emotions in Robots’ Semantic-Free Utterances56
Nasal Dominance and Nostril Breathing Variability: Potential Biomarkers of Acute Stress56
Nonverbal Leadership in Joint Full-Body Improvisation55
Guest Editorial Extremely Low-Resource Autonomous Affective Learning55
Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion54
Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation53
An EEG-Based Multi-Source Domain Knowledge Transfer Framework for Cross-Session and Cross-Subject Emotion Recognition52
Annotate Smarter, not Harder: Using Active Learning to Reduce Emotional Annotation Effort52
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bimodal Data Augmentation52
Emotion Transition Recognition Using Multimodal Physiological Signal Fusion51
How many raters do we need? Analyses of uncertainty in estimating ambiguity-aware emotion labels51
Modeling Category Semantic and Sentiment Knowledge for Aspect-Level Sentiment Analysis51
Multi-Label and Multimodal Classifier for Affective States Recognition in Virtual Rehabilitation51
Partial Label Learning for Emotion Recognition From EEG51
Combining Neural Empathy-Aware Behavior Trees with Knowledge Graphs for Affective Human-AI Teaming51
A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress50
Methodology to Assess Quality, Presence, Empathy, Attitude, and Attention in 360-degree Videos for Immersive Communications50
Emotion Recognition Using Affective Touch: A Survey50
Dynamical Causal Graph Neural Network for EEG Emotion Recognition49
Context Effect Guided Multi-Source Awareness Framework for Dynamic Facial Expression Recognition49
Objective Class-Based Micro-Expression Recognition Under Partial Occlusion Via Region-Inspired Relation Reasoning Network49
Long Short-Term Memory Network Based Unobtrusive Workload Monitoring With Consumer Grade Smartwatches49
AGILE: Attribute-Guided Identity Independent Learning for Facial Expression Recognition48
Facial Depression Recognition by Deep Joint Label Distribution and Metric Learning47
Multi-Party Conversation Modeling for Emotion Recognition47
An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming47
Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder47
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition46
Group Synchrony for Emotion Recognition Using Physiological Signals46
Hierarchical Shared Encoder With Task-Specific Transformer Layer Selection for Emotion-Cause Pair Extraction46
Dual-Channel Retrieval-Augmented In-Context Learning for Comparative Opinion Mining45
Exploring Spontaneous Facial Micro-Expressions in On-Road Driver Behavior45
Prompt-Guided Domain Generalization for EEG Emotion Recognition44
A Feature-Level Framework for Evaluating Demographic Biases in Facial Expression Recognition Models44
The Rhythm of Flow: Detecting Facial Expressions of Flow Experiences Using CNNs43
Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition43
Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN43
Text-Based Fine-Grained Emotion Prediction42
EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition42
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification42
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features42
Public Opinion Crisis Management via Social Media Mining42
Facial Expression Recognition for Chinese Elderly Using Edge and Semantic Features Dual Path Network With Two-Step Transfer Learning42
Aspect-Based Sentiment Quantification42
Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction41
MTADA: A Multi-Task Adversarial Domain Adaptation Network for EEG-Based Cross-Subject Emotion Recognition41
Contradicted by the Brain: Predicting Individual and Group Preferences via Brain-Computer Interfacing41
Exploring the Role of Randomization on Belief Rigidity in Online Social Networks40
MCGC-Net: Multi-Scale Controllable Graph Convolutional Network on Music Emotion Recognition40
MoDE: Improving Mixture of Depression Experts With Mutual Information Estimator for Depression Detection40
Improving Emotion and Intent Understanding in Multimodal Conversations With Progressive Interaction39
Leveraging Social Media for Real-Time Interpretable and Amendable Suicide Risk Prediction With Human-in-The-Loop39
Sifting Truth From Spectacle! A Multimodal Hindi Dataset for Misinformation Detection With Emotional Cues and Sentiments39
Estimating Affective Taste Experience Using Combined Implicit Behavioral and Neurophysiological Measures39
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition39
Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review38
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition38
Versatile Audio-Visual Learning for Emotion Recognition36
Boosting Micro-Expression Recognition via Self-Expression Reconstruction and Memory Contrastive Learning36
Classification of Interbeat Interval Time-Series Using Attention Entropy35
Self-Supervised ECG Representation Learning for Emotion Recognition35
R2G$^{3}$ Net: A Novel Hierarchical Spatial-Temporal Neural Network With a Regional-to-Global Fusion Mechanism for Multimodal Emotion Recognition35
Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition35
SMSAT: An Acoustic Dataset and Multi-Feature Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation35
EmoTake: Exploring Drivers’ Emotion for Takeover Behavior Prediction35
Emotion Distribution Learning Based on Peripheral Physiological Signals35
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition35
Theory of Mind Abilities Predict Robot's Gaze Effects on Object Preference34
Survey of Deep Representation Learning for Speech Emotion Recognition33
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles: Emotions Triggered by Video-Audio Clips in Driving Scenarios33
FERMixNet: An Occlusion Robust Facial Expression Recognition Model With Facial Mixing Augmentation and Mid-Level Representation Learning33
MERGE: A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition33
Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis33
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath33
Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation33
Facial-Based Heterogeneous Graph Representation Learning for Autism Spectrum Disorder Detection33
Capturing Dynamic Fear Experiences in Naturalistic Contexts: An Ecologically Valid fMRI Signature Integrating Brain Activation and Connectivity32
Comparative Analysis of Physiological and Speech Signals for State Anxiety Detection in University Students in STEM32
The Role of Preprocessing for Word Representation Learning in Affective Tasks32
I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network31
Charting the Unspoken: Causal Inference-Guided LLM Augmentation for Emotion Recognition in Conversation31
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition31
Stimulus-Response Pattern: The Core of Robust Cross-Stimulus Facial Depression Recognition31
Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues31
SalMIM: Saliency-Guided Masked Image Modeling Network for Visual Emotion Analysis31
Semantic and Emotional Dual Channel for Emotion Recognition in Conversation31
Enhanced Dynamic Representation via Gradient-Motion Modeling for Micro-Expression Recognition30
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games30
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?30
Distant Handshakes: Conveying Social Intentions Through Multi-Modal Soft Haptic Gloves30
Fake News, Real Emotions: Emotion Analysis of COVID-19 Infodemic in Weibo29
A Survey of Textual Emotion Recognition and Its Challenges29
Emotion Recognition From Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning29
CorMulT: A Semi-Supervised Modality Correlation-Aware Multimodal Transformer for Sentiment Analysis29
Exploring Emotion Expression Recognition in Older Adults Interacting With a Virtual Coach29
Automatic Emotion Recognition in Clinical Scenario: A Systematic Review of Methods29
Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation28
ST-SNN-DSFE: A Spatio-Temporal Hybrid Network for EEG-based Emotion Recognition28
Deep Learning for Micro-Expression Recognition: A Survey28
Multi-Order Networks for Action Unit Detection28
Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis28
Affective Touch via Haptic Interfaces: A Sequential Indentation Approach28
Decoding Dyslexia, One Emotion at a Time: An AI-Powered Generative Framework28
Hierarchical Knowledge Stripping for Multimodal Sentiment Analysis28
Mixture-of-Expert Large Language Models for Text-Based Personality Assessment From Asynchronous Video Interviews28
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition28
An Effective 3D Text Recurrent Voting Generator for Metaverse28
Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition28
Emotion Intensity and its Control for Emotional Voice Conversion28
Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning27
Derived Topic Propagation Model Based on Topic Relevance and User Sentiment27
Transformer-Based Physiological Emotion Recognition for Autism Intervention Support27
Personalized Federated Learning for Session-Based Affective Interaction Modeling27
Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations27
Toward Multimodal Sentiment Analysis via Contrastive Cross-Modal Retrieval Augmentation and Hierachical Prompts27
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals26
VyaktitvaNirdharan: Multimodal Assessment of Personality and Trait Emotional Intelligence26
DECEPTIcON: Bridging Gaps in In-the-Wild Deception Research26
Empathetic Response Generation Through Multi-Modality26
Emotion Embeddings — Learning Stable and Homogeneous Abstractions From Heterogeneous Affective Datasets25
Collecting Mementos: A Multimodal Dataset for Context-Sensitive Modeling of Affect and Memory Processing in Responses to Videos25
Percussion and Instrumentation in Music Emotion Recognition: A Feature Engineering Approach25
Incorporating Forthcoming Events and Personality Traits in Social Media Based Stress Prediction25
Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation25
A Residual Multi-Scale Convolutional Neural Network With Transformers for Speech Emotion Recognition25
Emotions Like Human: Self-Supervised Emotion Label Augmentation for Emotion Recognition in Conversation24
Recognizing, Fast and Slow: Complex Emotion Recognition With Facial Expression Detection and Remote Physiological Measurement24
Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition24
SCARE: A Novel Framework to Enhance Chinese Harmful Memes Detection24
Step-Wise Prompting Meets Uncertainty-Aware Dynamic Fusion for Robust EEG-Visual Emotion Recognition24
SLAB: A Self-supervised Label Generation Framework to Reduce Annotation Overhead24
Deep Learning Techniques for Text-Based Emotional Response Generation: A Systematic Review24
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition24
Social Image–Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation24
Facial Expression Animation by Landmark Guided Residual Module24
Persuasion-Induced Physiology as Predictor of Persuasion Effectiveness23
Emotion Dependent Domain Adaptation for Speech Driven Affective Facial Feature Synthesis23
Affective Dynamics and Cognition During Game-Based Learning23
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks23
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition23
A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition23
STREL - Naturalistic Dataset and Methods for Studying Mental Stress and Relaxation Patterns in Critical Leading Roles22
Towards Participant-Independent Stress Detection Using Instrumented Peripherals22
Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders22
Interview-Based Depression Detection Using LLM-Based Text Restatement and Emotion Lexicon22
Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection22
Implicit Knowledge and Emotional Cues-Enhanced Multimodal Sarcasm Detection Model22
Autonomic Modulations to Cardiac Dynamics in Response to Affective Touch: Differences Between Social Touch and Self-Touch22
Mind AI's Mind: A Clinically Aligned Explainable AI Pipeline for Depression Diagnosis via Large Language Models22
Bootstrap Wayfinding Questions to Elicit Emotion Shift Reasoning with Large Language Models21
SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics21
Empathetic Conversational Systems: A Review of Current Advances, Gaps, and Opportunities21
Detection and Identification of Choking Under Pressure in College Tennis Based Upon Physiological Parameters, Performance Patterns, and Game Statistics21
Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection21
AT2GRU: A Human Emotion Recognition Model With Mitigated Device Heterogeneity21
Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition20
Affective-ROPTester: Capability and Bias Analysis of LLMs in Predicting Retinopathy of Prematurity20
Multi-Stage Graph Fusion Networks for Major Depressive Disorder Diagnosis20
Mental Stress Assessment in the Workplace: A Review20
Conveying Emotions Through Device-Initiated Touch20
Neuro or Symbolic? Fine-Tuned Transformer With Unsupervised LDA Topic Clustering for Text Sentiment Analysis20
Editorial19
Multimodal Functional Maximum Correlation for Emotion Recognition19
Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression19
Guest Editorial Neurosymbolic AI for Sentiment Analysis19
Examining Emotion Perception Agreement in Live Music Performance19
CSE-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition19
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention19
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection19
RVISA: Reasoning and Verification for Implicit Sentiment Analysis18
Enhancing EEG-Based Decision-Making Performance Prediction by Maximizing Mutual Information Between Emotion and Decision-Relevant Features18
An Interaction Network Based on Multiscale Spatiotemporal Feature Fusion for Depression Prediction18
Towards Multimodal Prediction of Spontaneous Humor: A Novel Dataset and First Results18
Facial Expression Recognition With Vision Transformer Using Fused Shifted Windows18
EEG-Based Emotion Recognition via Neural Architecture Search18
SeeNet: A Soft Emotion Expert and Data Augmentation Method to Enhance Speech Emotion Recognition17
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