Citation Impact
Citing Papers
A Sparse Autoencoder and Softmax Regression Based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine
2019
New approaches and procedures for cancer treatment: Current perspectives
2021 Standout
A Hybrid Cross Layer with Harris-Hawk-Optimization-Based Efficient Routing for Wireless Sensor Networks
2023 Standout
State-of-the-art in artificial neural network applications: A survey
2018 Standout
Systematic Literature Review on the Spread of Health-related Misinformation on Social Media
2019 Standout
Plant diseases and pests detection based on deep learning: a review
2021 Standout
State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol
2016
Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases
2016 Standout
The REDCap consortium: Building an international community of software platform partners
2019 Standout
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
2021 Standout
Innovative approaches for cancer treatment: current perspectives and new challenges
2019
Digital pathology and artificial intelligence
2019 Standout
Clinical research informatics: a conceptual perspective
2012
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications
2015 Standout
A Dynamic Neighborhood-Based Switching Particle Swarm Optimization Algorithm
2020
Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive
2013
Robust filtering for a class of nonlinear stochastic systems with probability constraints
2016
Networked control systems: a survey of trends and techniques
2019 Standout
Non-fragile multivariable PID controller design via system augmentation
2017
Distributed Event-Based Set-Membership Filtering for a Class of Nonlinear Systems With Sensor Saturations Over Sensor Networks
2016
Distributed ${\cal H}_{\infty}$ Filtering for a Class of Markovian Jump Nonlinear Time-Delay Systems Over Lossy Sensor Networks
2012
Distributed Resilient Estimator Design for Positive Systems Under Topological Attacks
2020
Recursive Distributed Filtering for a Class of State-Saturated Systems With Fading Measurements and Quantization Effects
2016
Event‐based security control for discrete‐time stochastic systems
2016
Passivity analysis for discrete-time neural networks with mixed time-delays and randomly occurring quantization effects
2016
A Dataset for Breast Cancer Histopathological Image Classification
2015 Standout
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review
2016
Behavioural change models for infectious disease transmission: a systematic review (2010–2015)
2016
Non-fragile state estimation for discrete Markovian jumping neural networks
2015
Observer-based H ∞
2015
A Novel Sigmoid-Function-Based Adaptive Weighted Particle Swarm Optimizer
2019
Recursive Filtering for Time-Varying Systems with Random Access Protocol
2018
Adaptive population extremal optimization-based PID neural network for multivariable nonlinear control systems
2018 Standout
Deep visual domain adaptation: A survey
2018 Standout
Optimal robust sliding mode tracking control of a biped robot based on ingenious multi-objective PSO
2013
A competitive mechanism integrated multi-objective whale optimization algorithm with differential evolution
2020
A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions
2018 Standout
On scheduling of deception attacks for discrete-time networked systems equipped with attack detectors
2016
Receding horizon filtering for a class of discrete time-varying nonlinear systems with multiple missing measurements
2014
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Survey on Recent Advances in Networked Control Systems
2015 Standout
Cyber-physical systems and their security issues
2018 Standout
Almost sure H ∞ sliding mode control for nonlinear stochastic systems with Markovian switching and time-delays
2015
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
2021 Standout
Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks
2016
A survey on security control and attack detection for industrial cyber-physical systems
2017 Standout
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
2020 Standout
Early fire detection using convolutional neural networks during surveillance for effective disaster management
2017 Standout
Breast Cancer Histopathology Image Analysis: A Review
2014
Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks
2016
A Review on Basic Data-Driven Approaches for Industrial Process Monitoring
2014 Standout
A laguerre neural network-based ADP learning scheme with its application to tracking control in the Internet of Things
2016
Recent advances on filtering and control for cyber-physical systems under security and resource constraints
2016
An optimally weighted user- and item-based collaborative filtering approach to predicting baseline data for Friedreich’s Ataxia patients
2020
Particle Swarm Optimization: A Comprehensive Survey
2022 Standout
Recommendation system based on deep learning methods: a systematic review and new directions
2019 Standout
A Survey on Distributed Filtering and Fault Detection for Sensor Networks
2014
Recursive state estimation for discrete time-varying stochastic nonlinear systems with randomly occurring deception attacks
2016
A survey of deep neural network architectures and their applications
2016 Standout
Event‐triggered distributed ℋ ∞ state estimation with packet dropouts through sensor networks
2015
Resilient finite‐time stabilization of fuzzy stochastic systems with randomly occurring uncertainties and randomly occurring gain fluctuations
2015
Distributed Maximum Correntropy Filtering for Stochastic Nonlinear Systems Under Deception Attacks
2020
Recent advances in convolutional neural networks
2017 Standout
Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks
2017
Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images
2015 Standout
Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure
2019 Standout
NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding
2019 Standout
Analytical target cascading for optimal configuration of cloud manufacturing services
2017
Design of non-fragile state estimators for discrete time-delayed neural networks with parameter uncertainties
2015
Applications of machine learning to machine fault diagnosis: A review and roadmap
2020 Standout
Moving Horizon Estimation for Networked Time-Delay Systems Under Round-Robin Protocol
2019
Classification and comparison of ad hoc networks: A review
2022
Distributed Event-Triggered Estimation Over Sensor Networks: A Survey
2019
Fusing Heterogeneous Features From Stacked Sparse Autoencoder for Histopathological Image Analysis
2015
Secure State Estimation and Control of Cyber-Physical Systems: A Survey
2020 Standout
A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches
2015 Standout
A review on the attention mechanism of deep learning
2021 Standout
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
2019 Standout
A Resilient Approach to Distributed Filter Design for Time-Varying Systems Under Stochastic Nonlinearities and Sensor Degradation
2016
A Constrained Optimization Approach to Dynamic State Estimation for Power Systems Including PMU and Missing Measurements
2015
Distributed Secure Filtering for Discrete-Time Systems Under Round-Robin Protocol and Deception Attacks
2019
RGB-D-based action recognition datasets: A survey
2016
A review of applications of artificial intelligent algorithms in wind farms
2019
Works of Jun Hu being referenced
ImageMiner: a software system for comparative analysis of tissue microarrays using content-based image retrieval, high-performance computing, and grid technology
2011
On ${\mathcal H}_{\infty }$ Finite-Horizon Filtering Under Stochastic Protocol: Dealing With High-Rate Communication Networks
2017
On co-design of filter and fault estimator against randomly occurring nonlinearities and randomly occurring deception attacks
2015
Recursive filtering with random parameter matrices, multiple fading measurements and correlated noises
2013
Recent Advances on Recursive Filtering and Sliding Mode Design for Networked Nonlinear Stochastic Systems: A Survey
2013
Gain-Constrained Recursive Filtering With Stochastic Nonlinearities and Probabilistic Sensor Delays
2012
Extended Kalman filtering with stochastic nonlinearities and multiple missing measurements
2012
Variance-Constrained Recursive State Estimation for Time-Varying Complex Networks With Quantized Measurements and Uncertain Inner Coupling
2019
Quantised recursive filtering for a class of nonlinear systems with multiplicative noises and missing measurements
2013
A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements
2015
Event-triggered distributed state estimation with randomly occurring uncertainties and nonlinearities over sensor networks: A delay-fractioning approach
2014
Recursive approach to networked fault estimation with packet dropouts and randomly occurring uncertainties
2016
Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects
2020
A variance-constrained approach to recursive state estimation for time-varying complex networks with missing measurements
2015
Robust Sliding Mode Control for Discrete Stochastic Systems With Mixed Time Delays, Randomly Occurring Uncertainties, and Randomly Occurring Nonlinearities
2011
Estimation, filtering and fusion for networked systems with network-induced phenomena: New progress and prospects
2016
Recursive filtering for state‐saturated systems with randomly occurring nonlinearities and missing measurements
2017
Robust H∞ sliding mode control for discrete time-delay systems with stochastic nonlinearities
2011
H ∞ sliding mode observer design for a class of nonlinear discrete time‐delay systems: A delay‐fractioning approach
2011
Fuzzy-Logic-Based Control, Filtering, and Fault Detection for Networked Systems: A Survey
2015
Moving horizon estimation meets multi-sensor information fusion: Development, opportunities and challenges
2020
State estimation for a class of discrete nonlinear systems with randomly occurring uncertainties and distributed sensor delays
2014
Nonlinear Analysis of Dynamical Complex Networks
2013
Probability-guaranteed H ∞
2012
Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations
2018
Characteristic Model-Based All-Coefficient Adaptive Control Method and Its Applications
2007
Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: The uncertain probabilities case
2021