OOIR: Observatory of International Research

Papers

(The H4-Index of Knowledge-Based Systems is 81. 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.)

Article	Citations
AutoML: A survey of the state-of-the-art	667
A survey on federated learning	465
Snake Optimizer: A novel meta-heuristic optimization algorithm	383
A comprehensive survey on sentiment analysis: Approaches, challenges and trends	339
Political Optimizer: A novel socio-inspired meta-heuristic for global optimization	323
Improved Binary Grey Wolf Optimizer and Its application for feature selection	244
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks	231
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems	231
Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions	227
Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection	223
Horse herd optimization algorithm: A nature-inspired algorithm for high-dimensional optimization problems	207
A stochastic configuration network based on chaotic sparrow search algorithm	201
Chaotic random spare ant colony optimization for multi-threshold image segmentation of 2D Kapur entropy	200
Beluga whale optimization: A novel nature-inspired metaheuristic algorithm	191
Consensus reaching for social network group decision making by considering leadership and bounded confidence	185
Ensemble transfer CNNs driven by multi-channel signals for fault diagnosis of rotating machinery cross working conditions	178
Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network	176
Image classification with deep learning in the presence of noisy labels: A survey	165
Evolutionary biogeography-based whale optimization methods with communication structure: Towards measuring the balance	165
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision	165
BEPO: A novel binary emperor penguin optimizer for automatic feature selection	163
ASRNN: A recurrent neural network with an attention model for sequence labeling	160
Coati Optimization Algorithm: A new bio-inspired metaheuristic algorithm for solving optimization problems	159
Group decision-making based on complex spherical fuzzy VIKOR approach	157
A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier	157

Quantum differential evolution with cooperative coevolution framework and hybrid mutation strategy for large scale optimization	152
LR-SMOTE — An improved unbalanced data set oversampling based on K-means and SVM	149
Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis	148
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey	145
Explainability in deep reinforcement learning	144
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads	142
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network	139
A federated learning system with enhanced feature extraction for human activity recognition	136
Deep learning in ECG diagnosis: A review	136
An improved Dragonfly Algorithm for feature selection	132
Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing	128
An effective approach for the protection of user commodity viewing privacy in e-commerce website	128
A dummy-based user privacy protection approach for text information retrieval	125
Dispersed foraging slime mould algorithm: Continuous and binary variants for global optimization and wrapper-based feature selection	123
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification	123
Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization	123
On the class overlap problem in imbalanced data classification	121
A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions	120
A learning path recommendation model based on a multidimensional knowledge graph framework for e-learning	120
A constrained differential evolution algorithm to solve UAV path planning in disaster scenarios	118
Joint distribution adaptation network with adversarial learning for rolling bearing fault diagnosis	115
A deep learning based image enhancement approach for autonomous driving at night	115
A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation	113
A Hyper Learning Binary Dragonfly Algorithm for Feature Selection: A COVID-19 Case Study	112
Dimension decided Harris hawks optimization with Gaussian mutation: Balance analysis and diversity patterns	110
Identification of Drug–Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion	107
Lightweight image super-resolution with enhanced CNN	105
A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets	103
Review on self-supervised image recognition using deep neural networks	100
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation	96
Rolling bearing fault diagnosis using optimal ensemble deep transfer network	96
Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects	95
Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities	95
An enhanced black widow optimization algorithm for feature selection	95
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks	94
Knowledge-enabled BERT for aspect-based sentiment analysis	94
Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem	92
A deep neural network based multi-task learning approach to hate speech detection	92
K-Means-based isolation forest	90
FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection	90
Learning-based elephant herding optimization algorithm for solving numerical optimization problems	89
Designing and training of a dual CNN for image denoising	89
Deep attributed network representation learning of complex coupling and interaction	89
MFS-MCDM: Multi-label feature selection using multi-criteria decision making	88
Opposition-based learning grey wolf optimizer for global optimization	88
SSC: A hybrid nature-inspired meta-heuristic optimization algorithm for engineering applications	86
A novel intrusion detection system based on an optimal hybrid kernel extreme learning machine	86
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification	86
Artificial Neural Network (ANN) - Bayesian Probability Framework (BPF) based method of dynamic force reconstruction under multi-source uncertainties	85
Unified Deep Learning approach for Efficient Intrusion Detection System using Integrated Spatial–Temporal Features	85

Double-level adversarial domain adaptation network for intelligent fault diagnosis	84
An enhanced whale optimization algorithm for large scale optimization problems	83
A personalized diagnosis method to detect faults in gears using numerical simulation and extreme learning machine	83
A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques	81
A new crude oil price forecasting model based on variational mode decomposition	81
Dynamic Levy Flight Chimp Optimization	81