IEEE Transactions on Computational Social Systems

Papers
(The H4-Index of IEEE Transactions on Computational Social Systems is 39. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis190
Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations154
MetaSocieties in Metaverse: MetaEconomics and MetaManagement for MetaEnterprises and MetaCities141
Robust Collaborative Filtering Recommendation With User-Item-Trust Records107
Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications99
Movie Recommendation System Using Sentiment Analysis From Microblogging Data97
Aspect-Based Sentiment Analysis: A Survey of Deep Learning Methods92
WELFake: Word Embedding Over Linguistic Features for Fake News Detection91
Defensive Modeling of Fake News Through Online Social Networks84
Measuring and Computing Cognitive Statuses of Construction Workers Based on Electroencephalogram: A Critical Review77
Security and Trust in Blockchains: Architecture, Key Technologies, and Open Issues74
The Deep Features and Attention Mechanism-Based Method to Dish Healthcare Under Social IoT Systems: An Empirical Study With a Hand-Deep Local–Global Net69
Digital Twin Empowered Content Caching in Social-Aware Vehicular Edge Networks65
Walrasian Equilibrium-Based Multiobjective Optimization for Task Allocation in Mobile Crowdsourcing63
A Hybrid Probabilistic Multiobjective Evolutionary Algorithm for Commercial Recommendation Systems60
Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach58
Depression Intensity Estimation via Social Media: A Deep Learning Approach57
Improved TrAdaBoost and its Application to Transaction Fraud Detection53
Popularity-Aware and Diverse Web APIs Recommendation Based on Correlation Graph53
Real-Time Cloud-Based Patient-Centric Monitoring Using Computational Health Systems52
Heterogeneous Network Representation Learning Approach for Ethereum Identity Identification52
Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia51
Multi-Source Domain Transfer Discriminative Dictionary Learning Modeling for Electroencephalogram-Based Emotion Recognition50
Two-Phase Multidocument Summarization Through Content-Attention-Based Subtopic Detection48
Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter48
Personality-Aware Product Recommendation System Based on User Interests Mining and Metapath Discovery47
Cloud/Edge Computing Resource Allocation and Pricing for Mobile Blockchain: An Iterative Greedy and Search Approach47
Autonomous Behavioral Decision for Vehicular Agents Based on Cyber-Physical Social Intelligence46
Hierarchical Federated Learning With Social Context Clustering-Based Participant Selection for Internet of Medical Things Applications45
Docschain: Blockchain-Based IoT Solution for Verification of Degree Documents44
A Graph-Based Socioeconomic Analysis of Steemit44
Comparative Analysis of Feature Selection Algorithms for Computational Personality Prediction From Social Media43
Hierarchical Domain Adaptation Projective Dictionary Pair Learning Model for EEG Classification in IoMT Systems43
A Clinical-Oriented Non-Severe Depression Diagnosis Method Based on Cognitive Behavior of Emotional Conflict42
Two-Path Deep Semisupervised Learning for Timely Fake News Detection42
T-BERTSum: Topic-Aware Text Summarization Based on BERT42
FedVCP: A Federated-Learning-Based Cooperative Positioning Scheme for Social Internet of Vehicles42
A Survey of Community Detection in Complex Networks Using Nonnegative Matrix Factorization42
Information-Utilization-Method-Assisted Multimodal Multiobjective Optimization and Application to Credit Card Fraud Detection39
CogEmoNet: A Cognitive-Feature-Augmented Driver Emotion Recognition Model for Smart Cockpit39
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