OOIR: Observatory of International Research

Papers

(The H4-Index of IEEE Transactions on Emerging Topics in Computational Intelligence is 46. 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 2022-05-01 to 2026-05-01.)

Article	Citations
Dynamic Secure Multi Broad Network for Privacy Preserving of Streaming Data	281
Open-Space Emergency Guiding With Individual Density Prediction Based on Internet of Things Localization	168
Self-Learning Fuzzy Automaton With Input and Output Fuzzy Sets for System Modelling	144
Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images	120
Spatio-Temporal Feature Integration for Quality Assessment of Stitched Omnidirectional Images	114
MMPL: Multi-Objective Multi-Party Learning via Diverse Steps	113
Spatio-Temporal EEG Representation Learning on Riemannian Manifold and Euclidean Space	108
PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer	108
Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation	101
Feature Diversity Learning for a Compact CNN Module	100
Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning	96
Attention-Enhanced Convolutional Iterative Unrolling Network for Under-Sampled MRI Reconstruction	96
Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms	95
EW2A: Evolutionary Window Attention Adaptation for Medical Image Segmentation	93
Unleashing the Potential of Large Language Models for Dynamic Multiobjective Optimization	86
Personalized Exercise Group Assembly Using a Two Archive Evolutionary Algorithm	83
The Impact of Mental Activities and Age on Brain Network: An Analysis From Complex Network Perspective	82
Artificial Bee Colony for Multi-Label Feature Selection: A Logic-Guided Approach With Correlation-Driven Refinement	79
ARC: A Layer Replacement Compression Method Based on Fine-Grained Self-Attention Distillation for Compressing Pre-Trained Language Models	76
Multi-Agent Task Assignment in Vehicular Edge Computing: A Regret-Matching Learning-Based Approach	76
Multi-View Adjacency-Constrained Hierarchical Clustering	72
A Multitasking-Based Constrained Multi-Objective Evolutionary Algorithm With Forward and Backward Stages	72
Incremental Learning Strategy With Multi-View Deep Learning for Disease-Related miRNAs/lncRNAs Identification	71
Neuron Membership Inference Attack in Federated Learning for bit Scenarios	71
Sparse Adversarial Unsupervised Domain Adaptation With Deep Dictionary Learning for Traffic Scene Classification	70

Unified Representation Learning for Multi-View Clustering by Between/Within View Deep Majorization	68
Spatio-Temporal Fusion Spiking Neural Network for Frame-Based and Event-Based Camera Sensor Fusion	65
MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training	64
A Two-Stage Learning Guided Multi-Objective Evolutionary Algorithm for Task Offloading in Edge Computing	63
PFEAL: A Novel Framework for Image Anomaly Detection Using Pre-Trained Feature Extraction and Activation Learning	62
TROPE: Triplet-Guided Feature Refinement for Person Re-Identification	57
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding	57
Table of Contents	54
Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement	54
Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis	53
Linguistic Models: Optimization With the Use of Conditional Fuzzy C-Means	52
Spectrum and Style Transformation Framework for Omni-Domain COVID-19 Diagnosis	51
Privacy Preserved and Explainable Deep Medical Image Analysis: A Survey	51
Representation-Based Decision-Theoretic Rough Sets for Three-Way Classification	51
Security Risks of AI/ML With a Focus on Reinforcement Learning: A Review and Perspectives From Grid Applications	49
Spatio-Temporal Series Prediction Based on Multi-Objective Evolutionary Deep Convolutional Echo State Networks	47
ProtoNAS: Accelerating Differentiable Neural Architecture Search via Prototypical Data Pruning	47
TDM: Trustworthy Decision-Making Via Interpretability Enhancement	46
Knowledge Transfer-Based Co-Evolutionary Search for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling	46
Generative Methods for Solving Interactive Dynamic Influence Diagrams	46
Multi-Label Feature Selection by Maximum Affinity-Relevance, Maximum Affinity-Interaction and Minimum Affinity-Redundancy	46