IEEE Transactions on Emerging Topics in Computational Intelligence

Papers
(The H4-Index of IEEE Transactions on Emerging Topics in Computational Intelligence is 33. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
A Survey on Neural Network Interpretability379
A Survey of Embodied AI: From Simulators to Research Tasks92
A Novel Deep Reinforcement Learning Controller Based Type-II Fuzzy System: Frequency Regulation in Microgrids92
Collaborative Learning-Based Industrial IoT API Recommendation for Software-Defined Devices: The Implicit Knowledge Discovery Perspective90
Multi-Objective Feature Selection With Missing Data in Classification87
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking79
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems78
A Review on Computational Intelligence Techniques in Cloud and Edge Computing73
A Bi-Population Cooperative Memetic Algorithm for Distributed Hybrid Flow-Shop Scheduling69
TransAttUnet: Multi-Level Attention-Guided U-Net With Transformer for Medical Image Segmentation61
An Emerging Fuzzy Feature Selection Method Using Composite Entropy-Based Uncertainty Measure and Data Distribution60
Matrix-Based Evolutionary Computation59
Attention Deep Model With Multi-Scale Deep Supervision for Person Re-Identification56
Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors55
Knowledge-Based Reinforcement Learning and Estimation of Distribution Algorithm for Flexible Job Shop Scheduling Problem53
APNet: Adversarial Learning Assistance and Perceived Importance Fusion Network for All-Day RGB-T Salient Object Detection52
Deep Contrastive Representation Learning With Self-Distillation50
End-to-End Detection-Segmentation System for Face Labeling47
Deep Reinforcement Learning Based Adaptive Operator Selection for Evolutionary Multi-Objective Optimization45
Multi-UAV Mobile Edge Computing and Path Planning Platform Based on Reinforcement Learning44
A Long Short-Term Memory Based Framework for Early Detection of Mild Cognitive Impairment From EEG Signals44
EEG Sleep Stages Analysis and Classification Based on Weighed Complex Network Features44
EMODMI: A Multi-Objective Optimization Based Method to Identify Disease Modules42
Motor Imagery BCI Classification Based on Multivariate Variational Mode Decomposition40
An Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases39
Viewpoint-Based Kernel Fuzzy Clustering With Weight Information Granules38
Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety37
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection37
Matching Algorithms: Fundamentals, Applications and Challenges35
Adaptive Feature Selection-Based AdaBoost-KNN With Direct Optimization for Dynamic Emotion Recognition in Human–Robot Interaction34
Deep Reinforcement Learning Based Optimization Algorithm for Permutation Flow-Shop Scheduling34
Efficient User Involvement in Semiautomatic Ontology Matching33
A Multi-View Multi-Scale Neural Network for Multi-Label ECG Classification33
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