International Journal of Machine Learning and Cybernetics

Papers
(The H4-Index of International Journal of Machine Learning and Cybernetics is 26. 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 2021-09-01 to 2025-09-01.)
ArticleCitations
The concept information of graph granule with application to knowledge graph embedding390
An unsupervised multi-manifold discriminant isomap algorithm based on the pairwise constraints153
Group decision-making method with directed graph under linguistic environment94
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment93
Pixel-patch combination loss for refined edge detection72
Correntropy metric-based robust low-rank subspace clustering for motion segmentation64
Multi-label learning with incomplete labels via dual manifold mappings57
ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis49
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning47
Low-rank tensor learning with projection distance metric for multi-view clustering45
Stochastic configuration network modeling method based on information superposition and mixture correntropy41
A new supervised outlier detection method for hybrid data40
KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking38
Adaptive condensed fuzzy monotonic K-nearest neighbors for monotonic classification37
Cross-lingual sentiment analysis empowered by emotional mutual reinforcement through emojis33
Faster and lighter surface defect detection model for transparent wine bottle33
Landmark based guidance for reinforcement learning agents under partial observability31
Data augmentation for aspect-based sentiment analysis31
Small target deep convolution recognition algorithm based on improved YOLOv430
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation30
Observer-based finite-time asynchronous sliding mode control with quantized outputs for hidden Markov jump systems30
Imbalanced driving scene recognition with class focal loss and data augmentation30
Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery29
Solving large-scale global optimization problems and engineering design problems using a novel biogeography-based optimization with Lévy and Brownian movements29
Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering29
Tripm: a multi-label deep learning SCA model for multi-byte attacks26
A novel hybrid approach to detect clients in federated learning for industrial internet of things26
Multi-proposal collaboration and multi-task training for weakly-supervised video moment retrieval26
Structural entropy-based scheduler for job planning problems using multi-agent reinforcement learning26
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