Information Sciences

Papers
(The H4-Index of Information Sciences is 82. 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
Gradient-based optimizer: A new metaheuristic optimization algorithm548
K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data446
Fractal sorting matrix and its application on chaotic image encryption316
An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems309
Root mean square error or mean absolute error? Use their ratio as well229
Cross-plane colour image encryption using a two-dimensional logistic tent modular map215
An Adaptive Polyploid Memetic Algorithm for scheduling trucks at a cross-docking terminal213
Combining unsupervised and supervised learning in credit card fraud detection198
Approximating XGBoost with an interpretable decision tree196
CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances185
Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization181
A novel graph convolutional feature based convolutional neural network for stock trend prediction174
Fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making165
A survey on facial emotion recognition techniques: A state-of-the-art literature review157
A novel triple-image encryption and hiding algorithm based on chaos, compressive sensing and 3D DCT153
Policy Iteration Reinforcement Learning-based control using a Grey Wolf Optimizer algorithm143
RTFN: A robust temporal feature network for time series classification142
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning141
Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks140
Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR139
Sliding-mode surface-based adaptive actor-critic optimal control for switched nonlinear systems with average dwell time138
JKT: A joint graph convolutional network based Deep Knowledge Tracing134
HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture129
Feature selection using Fisher score and multilabel neighborhood rough sets for multilabel classification129
An efficient approach for encrypting double color images into a visually meaningful cipher image using 2D compressive sensing129
Attribute reduction with fuzzy rough self-information measures127
Conflicting evidence combination from the perspective of networks125
A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks123
Detection of stealthy false data injection attacks against networked control systems via active data modification122
A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network121
Reinforcement Learning-based control using Q-learning and gravitational search algorithm with experimental validation on a nonlinear servo system121
A distributed sensor-fault detection and diagnosis framework using machine learning121
Hybrid-triggered-based security controller design for networked control system under multiple cyber attacks120
A privacy image encryption algorithm based on piecewise coupled map lattice with multi dynamic coupling coefficient120
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition120
A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization113
GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems110
A new fractional one dimensional chaotic map and its application in high-speed image encryption108
Multi-strategy particle swarm and ant colony hybrid optimization for airport taxiway planning problem107
Dynamic event-triggered security control for networked control systems with cyber-attacks: A model predictive control approach107
A novel fuzzy rough set model with fuzzy neighborhood operators106
Bayesian optimization based dynamic ensemble for time series forecasting106
Image encryption algorithm based on a 2D-CLSS hyperchaotic map using simultaneous permutation and diffusion105
A cluster-based oversampling algorithm combining SMOTE and k-means for imbalanced medical data104
Deep embedded multi-view clustering with collaborative training104
RCSMOTE: Range-Controlled synthetic minority over-sampling technique for handling the class imbalance problem103
A multi-stage evolutionary algorithm for multi-objective optimization with complex constraints103
RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise103
Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem101
Autoencoder-based deep metric learning for network intrusion detection100
A problem-specific non-dominated sorting genetic algorithm for supervised feature selection100
Using support vector regression and K-nearest neighbors for short-term traffic flow prediction based on maximal information coefficient99
MHAT: An efficient model-heterogenous aggregation training scheme for federated learning99
A novel decision-making approach based on three-way decisions in fuzzy information systems98
EHDHE: Enhancing security of healthcare documents in IoT-enabled digital healthcare ecosystems using blockchain98
The improved AdaBoost algorithms for imbalanced data classification98
A novel oversampling technique for class-imbalanced learning based on SMOTE and natural neighbors96
Facial expression recognition with grid-wise attention and visual transformer96
Multimodal medical image fusion based on joint bilateral filter and local gradient energy96
An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems95
Semi-supervised adversarial discriminative learning approach for intelligent fault diagnosis of wind turbine94
DP-SLAM: A visual SLAM with moving probability towards dynamic environments94
An ensemble of differential evolution and Adam for training feed-forward neural networks94
An incremental learning mechanism for object classification based on progressive fuzzy three-way concept93
Blockchain-based public auditing and secure deduplication with fair arbitration93
Group consensus via pinning control for a class of heterogeneous multi-agent systems with input constraints92
An image encryption algorithm based on new chaos and diffusion values of a truth table91
Spatiotemporal chaos in improved cross coupled map lattice and its application in a bit-level image encryption scheme91
Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks90
A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting90
Discovering high utility-occupancy patterns from uncertain data88
A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems87
A reinforcement learning approach for dynamic multi-objective optimization87
Estimating priorities from relative deviations in pairwise comparison matrices87
An improvement of rough sets’ accuracy measure using containment neighborhoods with a medical application86
SocialLGN: Light graph convolution network for social recommendation86
Corporate finance risk prediction based on LightGBM86
Event-triggered predictive control for networked control systems with DoS attacks85
Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model84
Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods83
BBAS: Towards large scale effective ensemble adversarial attacks against deep neural network learning82
Generalized combination rule for evidential reasoning approach and Dempster–Shafer theory of evidence82
A clustering- and maximum consensus-based model for social network large-scale group decision making with linguistic distribution82
0.1466851234436