OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Machine Learning and Cybernetics is 30. 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.)

Article	Citations
ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis	825
Stochastic configuration network modeling method based on information superposition and mixture correntropy	288
Structural entropy-based scheduler for job planning problems using multi-agent reinforcement learning	160
Two-channel deep recursive multi-scale network based on multi-attention for no-reference image quality assessment	111
Adaptive condensed fuzzy monotonic K-nearest neighbors for monotonic classification	103
Pixel-patch combination loss for refined edge detection	100
Observer-based finite-time asynchronous sliding mode control with quantized outputs for hidden Markov jump systems	74
Multi-label learning with incomplete labels via dual manifold mappings	71
Machine learning for aspect category detection in mobile edge products: the MLRG-CO algorithm	65
Faster and lighter surface defect detection model for transparent wine bottle	63
Solving large-scale global optimization problems and engineering design problems using a novel biogeography-based optimization with Lévy and Brownian movements	61
Multi-proposal collaboration and multi-task training for weakly-supervised video moment retrieval	60
The concept information of graph granule with application to knowledge graph embedding	53
ULAF-Net: Ultra lightweight attention fusion network for real-time semantic segmentation	51
Few-shot remote sensing image scene classification based on variational meta-learning	50
Feature selection in high-dimensional data: an enhanced RIME optimization with information entropy pruning and DBSCAN clustering	48
Tripm: a multi-label deep learning SCA model for multi-byte attacks	45
Exploiting graph neural network with one-shot learning for fault diagnosis of rotating machinery	44
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning	42
A new supervised outlier detection method for hybrid data	40
A novel adaptive methodology for removing spurious components in a modified incremental Gaussian mixture model	39
A novel hybrid approach to detect clients in federated learning for industrial internet of things	37
Multimodal sentiment analysis based on noise injection and adaptive multi-view dynamic fusion	36
Low-rank tensor learning with projection distance metric for multi-view clustering	36
An improved, scalable and modular framework for vision-based robotic grasp detection	34

KRAFS-ANet: A novel framework for EEG-based stress classification using channel selection and optimized ensemble stacking	33
Landmark based guidance for reinforcement learning agents under partial observability	32
Virtual graph augmentation for graph neural networks	31
Bridging the gap: advancing the transparency and trustworthiness of network intrusion detection with explainable AI	31
Cybernetics-based filtering for real-time student behavior classification	30
Cross-lingual sentiment analysis empowered by emotional mutual reinforcement through emojis	30