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 2022-08-01 to 2026-08-01.)
ArticleCitations
Automatic Estimation of Action Unit Intensities and Inference of Emotional Appraisals463
Progressive Masking Oriented Self-Taught Learning for Occluded Facial Expression Recognition352
Sparse Emotion Dictionary and CWT Spectrogram Fusion With Multi-Head Self-Attention for Depression Recognition in Parkinson's Disease Patients323
CAETFN: Context Adaptively Enhanced Text-Guided Fusion Network for Multimodal Sentiment Analysis279
CausalSymptom: Learning Causal Disentangled Representation for Depression Severity Estimation on Transcribed Clinical Interviews251
From EEG to Eye Movements: Cross-Modal Emotion Recognition Using Constrained Adversarial Network With Dual Attention226
Does Gamified Breath-Biofeedback Promote Adherence, Relaxation, and Skill Transfer in the Wild?222
Perceived Conversation Quality in Spontaneous Interactions210
A High-Quality Landmarked Infrared Eye Video Dataset (IREye4Task): Eye Behaviors, Insights and Benchmarks for Wearable Mental State Analysis181
Hug Synchronization Enhances Social Presence and Prosociality in Computer-Mediated Communication174
Major Depressive Disorder Detection Using Graph Domain Adaptation With Global Message-Passing Based on EEG Signals165
ATTSF-Net: Attention-Based Similarity Fusion Network for Audio-Visual Emotion Recognition161
Creating an Affective Robot That Feels Both Touch and Emotion157
Classifying Suicide-Related Content and Emotions on Twitter Using Graph Convolutional Neural Networks155
A Neuroadaptive Digital Twin System for Emotion Recognition and Socio-Emotional Training in Autistic Children153
Computational Empathy in Affective LLMs: Architectures, Evaluation, and Clinical Deployment Challenges150
Cost-Sensitive Boosting Pruning Trees for Depression Detection on Twitter150
Mouse-Cursor Tracking: Simple Scoring Algorithms That Make it Work142
Golden-Style Graph Alignment for Cross-Dataset EEG Emotion Recognition137
Towards Contrastive Context-Aware Conversational Emotion Recognition127
Identity-Free Artificial Emotional Intelligence via Micro-Gesture Understanding125
ECPEC: Emotion-Cause Pair Extraction in Conversations125
Cross-modal Joint Quantization for Emotion Recognition with Arbitrarily Missing Modalities124
The Acoustically Emotion-Aware Conversational Agent With Speech Emotion Recognition and Empathetic Responses124
Mechanoreceptive Aβ Primary Afferents Discriminate Naturalistic Social Touch Inputs at a Functionally Relevant Time Scale122
Vision Transformer With Attentive Pooling for Robust Facial Expression Recognition121
DGC-Link: Dual-Gate Chebyshev Linkage Network on EEG Emotion Recognition114
MPRNet: A Temporal-Aware Cross-Modal Encoding Framework for Personality Recognition110
Real-World Classification of Student Stress and Fatigue Using Wearable PPG Recordings109
When is a Haptic Message Like an Inside Joke? Digitally Mediated Emotive Communication Builds on Shared History109
Learning Users Inner Thoughts and Emotion Changes for Social Media Based Suicide Risk Detection106
Subjective Fear in Virtual Reality: A Linear Mixed-Effects Analysis of Skin Conductance104
Are 3D Face Shapes Expressive Enough for Recognising Continuous Emotions and Action Unit Intensities?95
A Classification Framework for Depressive Episode Using R-R Intervals From Smartwatch93
Brain-Machine Enhanced Intelligence for Semi-Supervised Facial Emotion Recognition92
The Deep Method: Towards Computational Modeling of the Social Emotion Shame Driven by Theory, Introspection, and Social Signals89
Analyzing Emotions and Engagement During Cognitive Stimulation Group Training With the Pepper Robot86
Smart Affect Monitoring With Wearables in the Wild: An Unobtrusive Mood-Aware Emotion Recognition System82
The Diagnosis Method of Major Depressive Disorder Using Wavelet Coherence and State-Pathology Separation Network81
TouchTales: A Care-Centered Protocol for Recognizing Authentic Emotion From Naturalistic Touching and Telling80
Continuous Emotion Ambiguity Prediction: Modeling With Beta Distributions79
AM-ConvBLS: Adaptive Manifold Convolutional Broad Learning System for Cross-Session and Cross-Subject Emotion Recognition79
An Efficient Framework for Constructing Speech Emotion Corpus Based on Integrated Active Learning Strategies78
EmoAgent: A Multi-Agent Framework for Diverse Affective Image Manipulation78
Cluster-Level Contrastive Learning for Emotion Recognition in Conversations76
PainFormer: A Vision Foundation Model for Automatic Pain Assessment75
Facial Image-Based Automatic Assessment of Equine Pain74
Hierarchical Multiscale Recurrent Neural Networks for Detecting Suicide Notes70
A Psychometrically Optimized Imagery Approach for the Chinese Multifaceted Empathy Test68
Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users67
Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach With Emotional EEG Style Transfer Network67
UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress67
EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human Emotions66
Transformer-Based Self-Supervised Multimodal Representation Learning for Wearable Emotion Recognition66
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition65
Fusion and Discrimination: A Multimodal Graph Contrastive Learning Framework for Multimodal Sarcasm Detection65
SparseDGCNN: Recognizing Emotion From Multichannel EEG Signals65
TFAGL: A Novel Agent Graph Learning Method Using Time-Frequency EEG for Major Depressive Disorder Detection64
Non-Invasive Measurement of Trust in Group Interactions63
A Micro-Expression Recognition Network Based on Attention Mechanism and Motion Magnification63
MECA: Manipulation With Emotional Intensity-Aware Contrastive Learning and Attention-Based Discriminative Learning63
An Enroll-to-Verify Approach for Cross-Task Unseen Emotion Class Recognition62
Towards Efficient and Robust Linguistic Emotion Diagnosis for Mental Health via Multi-Agent Instruction Refinement61
Video-Based Cross-Domain Emotion Recognition Via Sample-Graph Relations Self-Distillation61
Improved Video Emotion Recognition With Alignment of CNN and Human Brain Representations60
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets From Twitter60
CMCRD: Cross-Modal Contrastive Representation Distillation for Emotion Recognition59
Age Against the Machine: How Age Relates to Listeners’ Ability to Recognize Emotions in Robots’ Semantic-Free Utterances59
Wearable Technology for Depression Assessment: A Scoping Review of Datasets58
Nasal Dominance and Nostril Breathing Variability: Potential Biomarkers of Acute Stress58
LGSNet: A Two-Stream Network for Micro- and Macro-Expression Spotting With Background Modeling58
Dynamic Confidence-Aware Multi-Modal Emotion Recognition58
Assessment of Personality Dimensions Across Situations in Dyadic Role-Play Scenarios58
Aspect Dependency Graph Network: Inferring Latent Sentiment beyond Mention for Aspect-Based Sentiment Analysis57
InterARM: Interpretable Affective Reasoning Model for Multimodal Sarcasm Detection57
Computation of Sensory-Affective Relationships Depending on Material Categories of Pictorial Stimuli56
Rethinking Emotion Annotations in the Era of Large Language Models56
SEED-VII: A Multimodal Dataset of Six Basic Emotions With Continuous Labels for Emotion Recognition56
miMamba: EEG-Based Emotion Recognition With Multi-Scale Inverted Mamba Models55
Effects of Algorithmic Transparency on User Experience and Physiological Responses in Affect-Aware Task Adaptation55
GHA: A Gated Hierarchical Attention Mechanism for the Detection of Abusive Language in Social Media55
Nonverbal Leadership in Joint Full-Body Improvisation54
Guest Editorial Extremely Low-Resource Autonomous Affective Learning54
Guest Editorial: Special Issue on Affective Speech and Language Synthesis, Generation, and Conversion54
Annotate Smarter, not Harder: Using Active Learning to Reduce Emotional Annotation Effort53
An EEG-Based Multi-Source Domain Knowledge Transfer Framework for Cross-Session and Cross-Subject Emotion Recognition53
How many raters do we need? Analyses of uncertainty in estimating ambiguity-aware emotion labels52
Hierarchical Shared Encoder With Task-Specific Transformer Layer Selection for Emotion-Cause Pair Extraction51
Dual-Channel Retrieval-Augmented In-Context Learning for Comparative Opinion Mining51
Exploring Spontaneous Facial Micro-Expressions in On-Road Driver Behavior51
Modeling Category Semantic and Sentiment Knowledge for Aspect-Level Sentiment Analysis51
A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress50
Partial Label Learning for Emotion Recognition From EEG50
Context Effect Guided Multi-Source Awareness Framework for Dynamic Facial Expression Recognition50
Combining Neural Empathy-Aware Behavior Trees With Knowledge Graphs for Affective Human-AI Teaming50
Multi-Party Conversation Modeling for Emotion Recognition50
Long Short-Term Memory Network Based Unobtrusive Workload Monitoring With Consumer Grade Smartwatches49
A Feature-Level Framework for Evaluating Demographic Biases in Facial Expression Recognition Models49
An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming48
Group Synchrony for Emotion Recognition Using Physiological Signals48
LLMs are Making You Sick: Uncovering the Overpathologizing Bias in Cognitive Distortion Detection47
Dynamical Causal Graph Neural Network for EEG Emotion Recognition46
Emotion Transition Recognition Using Multimodal Physiological Signal Fusion45
Few-Shot Learning in Emotion Recognition of Spontaneous Speech Using a Siamese Neural Network With Adaptive Sample Pair Formation44
AMuSeD: An Attentive Deep Neural Network for Multimodal Sarcasm Detection Incorporating Bimodal Data Augmentation44
Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder43
AGILE: Attribute-Guided Identity Independent Learning for Facial Expression Recognition43
Objective Class-Based Micro-Expression Recognition Under Partial Occlusion Via Region-Inspired Relation Reasoning Network43
Prompt-Guided Domain Generalization for EEG Emotion Recognition43
Emotion Recognition Using Affective Touch: A Survey43
The Rhythm of Flow: Detecting Facial Expressions of Flow Experiences Using CNNs42
Prediction of Depression Severity Based on the Prosodic and Semantic Features With Bidirectional LSTM and Time Distributed CNN42
Methodology to Assess Quality, Presence, Empathy, Attitude, and Attention in 360-degree Videos for Immersive Communications42
Domain-Incremental Continual Learning for Mitigating Bias in Facial Expression and Action Unit Recognition42
Facial-Based Heterogeneous Graph Representation Learning for Autism Spectrum Disorder Detection41
Facial Expression Recognition for Chinese Elderly Using Edge and Semantic Features Dual Path Network With Two-Step Transfer Learning40
Aspect-Based Sentiment Quantification40
Hierarchical Encoding and Fusion of Brain Functions for Depression Subtype Classification39
MoDE: Improving Mixture of Depression Experts With Mutual Information Estimator for Depression Detection38
Contradicted by the Brain: Predicting Individual and Group Preferences via Brain-Computer Interfacing38
Exploring the Role of Randomization on Belief Rigidity in Online Social Networks38
Public Opinion Crisis Management via Social Media Mining38
Improving Emotion and Intent Understanding in Multimodal Conversations With Progressive Interaction37
Leveraging Social Media for Real-Time Interpretable and Amendable Suicide Risk Prediction With Human-in-The-Loop37
Estimating Affective Taste Experience Using Combined Implicit Behavioral and Neurophysiological Measures37
Sifting Truth From Spectacle! A Multimodal Hindi Dataset for Misinformation Detection With Emotional Cues and Sentiments37
Datasets of Smartphone Modalities for Depression Assessment: A Scoping Review36
Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features36
MERGE: A Bimodal Audio-Lyrics Dataset for Static Music Emotion Recognition36
Theory of Mind Abilities Predict Robot's Gaze Effects on Object Preference36
Geometric Graph Representation With Learnable Graph Structure and Adaptive AU Constraint for Micro-Expression Recognition36
STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition36
EEG Feature Selection via Global Redundancy Minimization for Emotion Recognition36
SMSAT: An Acoustic Dataset and Multi-Feature Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation36
Ordinal Logistic Regression With Partial Proportional Odds for Depression Prediction35
MCGC-Net: Multi-Scale Controllable Graph Convolutional Network on Music Emotion Recognition35
Emotion Distribution Learning Based on Peripheral Physiological Signals35
Versatile Audio-Visual Learning for Emotion Recognition35
A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition35
MTADA: A Multi-Task Adversarial Domain Adaptation Network for EEG-Based Cross-Subject Emotion Recognition35
Survey of Deep Representation Learning for Speech Emotion Recognition35
EmoTake: Exploring Drivers’ Emotion for Takeover Behavior Prediction34
Classification of Interbeat Interval Time-Series Using Attention Entropy34
Boosting Micro-Expression Recognition via Self-Expression Reconstruction and Memory Contrastive Learning34
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition34
Emotion Expression in Human Body Posture and Movement: A Survey on Intelligible Motion Factors, Quantification and Validation34
FERMixNet: An Occlusion Robust Facial Expression Recognition Model With Facial Mixing Augmentation and Mid-Level Representation Learning34
Text-Based Fine-Grained Emotion Prediction34
Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition33
A Spontaneous Driver Emotion Facial Expression (DEFE) Dataset for Intelligent Vehicles: Emotions Triggered by Video-Audio Clips in Driving Scenarios33
R2G$^{3}$ Net: A Novel Hierarchical Spatial-Temporal Neural Network With a Regional-to-Global Fusion Mechanism for Multimodal Emotion Recognition32
From What You See to What We Smell: Linking Human Emotions to Bio-Markers in Breath31
Charting the Unspoken: Causal Inference-Guided LLM Augmentation for Emotion Recognition in Conversation31
Comparative Analysis of Physiological and Speech Signals for State Anxiety Detection in University Students in STEM31
Stimulus-Response Pattern: The Core of Robust Cross-Stimulus Facial Depression Recognition30
Capturing Dynamic Fear Experiences in Naturalistic Contexts: An Ecologically Valid fMRI Signature Integrating Brain Activation and Connectivity30
SalMIM: Saliency-Guided Masked Image Modeling Network for Visual Emotion Analysis30
The Role of Preprocessing for Word Representation Learning in Affective Tasks30
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition30
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?30
Enhanced Dynamic Representation via Gradient-Motion Modeling for Micro-Expression Recognition30
Exploring Emotion Expression Recognition in Older Adults Interacting With a Virtual Coach29
ST-SNN-DSFE: A Spatio-Temporal Hybrid Network for EEG-based Emotion Recognition29
Heterogeneous Graph Denoising Network for Incomplete Multimodal Emotion Recognition in Conversation29
Semantic and Emotional Dual Channel for Emotion Recognition in Conversation29
I Enjoy Writing and Playing, Do You?: A Personalized and Emotion Grounded Dialogue Agent Using Generative Adversarial Network29
Modeling Multimodal Depression Diagnosis From the Perspective of Local Depressive Representation29
Affective Touch via Haptic Interfaces: A Sequential Indentation Approach29
The Pixels and Sounds of Emotion: General-Purpose Representations of Arousal in Games28
Automatic Emotion Recognition in Clinical Scenario: A Systematic Review of Methods28
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition28
Emotion Recognition From Few-Channel EEG Signals by Integrating Deep Feature Aggregation and Transfer Learning28
A Survey of Textual Emotion Recognition and Its Challenges28
Fake News, Real Emotions: Emotion Analysis of COVID-19 Infodemic in Weibo28
Towards Emotion-Aware Agents for Improved User Satisfaction and Partner Perception in Negotiation Dialogues28
Distant Handshakes: Conveying Social Intentions Through Multi-Modal Soft Haptic Gloves28
Efficient Multimodal Transformer With Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis27
Facial Expression Animation by Landmark Guided Residual Module27
Behavioral and Physiological Signals-Based Deep Multimodal Approach for Mobile Emotion Recognition27
Percussion and Instrumentation in Music Emotion Recognition: A Feature Engineering Approach27
CorMulT: A Semi-Supervised Modality Correlation-Aware Multimodal Transformer for Sentiment Analysis27
Emotion Embeddings — Learning Stable and Homogeneous Abstractions From Heterogeneous Affective Datasets27
Derived Topic Propagation Model Based on Topic Relevance and User Sentiment26
SLAB: A Self-supervised Label Generation Framework to Reduce Annotation Overhead26
Step-Wise Prompting Meets Uncertainty-Aware Dynamic Fusion for Robust EEG-Visual Emotion Recognition26
LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks26
A Residual Multi-Scale Convolutional Neural Network With Transformers for Speech Emotion Recognition26
Emotions Like Human: Self-Supervised Emotion Label Augmentation for Emotion Recognition in Conversation26
Mixture-of-Expert Large Language Models for Text-Based Personality Assessment From Asynchronous Video Interviews25
Toward Multimodal Sentiment Analysis via Contrastive Cross-Modal Retrieval Augmentation and Hierachical Prompts25
Personalized Federated Learning for Session-Based Affective Interaction Modeling25
Decoding Dyslexia, One Emotion at a Time: An AI-Powered Generative Framework25
Transformer-Based Physiological Emotion Recognition for Autism Intervention Support25
Multi-Order Networks for Action Unit Detection25
Unconstrained Facial Expression Recognition With No-Reference De-Elements Learning24
Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation24
Collecting Mementos: A Multimodal Dataset for Context-Sensitive Modeling of Affect and Memory Processing in Responses to Videos24
SCARE: A Novel Framework to Enhance Chinese Harmful Memes Detection24
Empathetic Response Generation Through Multi-Modality24
Incorporating Forthcoming Events and Personality Traits in Social Media Based Stress Prediction24
An Effective 3D Text Recurrent Voting Generator for Metaverse24
Hierarchical Knowledge Stripping for Multimodal Sentiment Analysis24
Learning to Rank Onset-Occurring-Offset Representations for Micro-Expression Recognition24
Mutual Information Based Fusion Model (MIBFM): Mild Depression Recognition Using EEG and Pupil Area Signals23
Recognizing, Fast and Slow: Complex Emotion Recognition With Facial Expression Detection and Remote Physiological Measurement23
DECEPTIcON: Bridging Gaps in In-the-Wild Deception Research23
Deep Learning Techniques for Text-Based Emotional Response Generation: A Systematic Review23
A Multi-Level Alignment and Cross-Modal Unified Semantic Graph Refinement Network for Conversational Emotion Recognition23
Deep Learning for Micro-Expression Recognition: A Survey23
Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations22
Feel with Seeing: Cognition-Inspired Emotion Recognition via Multi-patch-based Attention Flow22
Emotion Intensity and its Control for Emotional Voice Conversion22
Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition22
VyaktitvaNirdharan: Multimodal Assessment of Personality and Trait Emotional Intelligence22
Social Image–Text Sentiment Classification With Cross-Modal Consistency and Knowledge Distillation22
Autonomic Modulations to Cardiac Dynamics in Response to Affective Touch: Differences Between Social Touch and Self-Touch21
Mind AI's Mind: A Clinically Aligned Explainable AI Pipeline for Depression Diagnosis via Large Language Models21
Multi-Stage Graph Fusion Networks for Major Depressive Disorder Diagnosis21
Global Entity Relationship Enhancement Network for Multimodal Sarcasm Detection21
Affective Dynamics and Cognition During Game-Based Learning21
Towards Participant-Independent Stress Detection Using Instrumented Peripherals21
Implicit Knowledge and Emotional Cues-Enhanced Multimodal Sarcasm Detection Model20
TED: Towards Explainable and Holistically Aligned Empathetic Dialogue Generation20
Detection and Identification of Choking Under Pressure in College Tennis Based Upon Physiological Parameters, Performance Patterns, and Game Statistics20
Multimodal Functional Maximum Correlation for Emotion Recognition20
Interview-Based Depression Detection Using LLM-Based Text Restatement and Emotion Lexicon20
Examining Emotion Perception Agreement in Live Music Performance20
Bootstrap Wayfinding Questions to Elicit Emotion Shift Reasoning with Large Language Models20
FineESC: Fine-Grained Emotional Support Conversation With Turn-Level Importance Modeling via Subquestion Reasoning20
LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-Based Emotion Recognition20
STREL - Naturalistic Dataset and Methods for Studying Mental Stress and Relaxation Patterns in Critical Leading Roles20
Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection20
HIT: Hyperbolic Transformer with Identity-Invariant Representation for Cross-Subject EEG Emotion Recognition19
Effective Connectivity Based EEG Revealing the Inhibitory Deficits for Distracting Stimuli in Major Depression Disorders19
Mental Stress Assessment in the Workplace: A Review19
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection19
Subject-Invariant Multimodal Affective Representation Learning Via Masked Cross-Modal Alignment19
Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression19
AT2GRU: A Human Emotion Recognition Model With Mitigated Device Heterogeneity19
BlumyAI: B ehavioral and L inguistic U nderstanding for 19
Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition19
EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention19
SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics19
Neuro or Symbolic? Fine-Tuned Transformer With Unsupervised LDA Topic Clustering for Text Sentiment Analysis19
CSE-GResNet: A Simple and Highly Efficient Network for Facial Expression Recognition19
Exploring Multivariate Dynamics of Emotions Through Time-Varying Self-Assessed Arousal and Valence Ratings18
Evaluating Facial Expression Recognition Datasets for Deep Learning: a Benchmark Study with Novel Similarity Metrics18
A Reinforcement Learning Based Two-Stage Model for Emotion Cause Pair Extraction18
AL-HCL: Active Learning and Hierarchical Contrastive Learning for Multimodal Sentiment Analysis With Fusion Guidance18
Guest Editorial Neurosymbolic AI for Sentiment Analysis18
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