What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Artificial neural network
His primary scientific interests are in Control theory, Artificial neural network, Memristor, Synchronization and Recurrent neural network.
His Control theory and Exponential stability, Nonlinear system, Sliding mode control, Fuzzy control system and Control system investigations all form part of his Control theory research activities.
His Artificial neural network research is multidisciplinary, incorporating elements of Synapse and Fuzzy logic.
Shiping Wen combines subjects such as Compensation, Lyapunov function, Convolutional neural network and CMOS with his study of Fuzzy logic.
His work carried out in the field of Memristor brings together such families of science as Differential inclusion, Class and Adaptive control.
His Recurrent neural network study integrates concerns from other disciplines, such as Exponential passivity, Passivity, Content-addressable memory and Differential equation.
His most cited work include:
- Synchronization control of a class of memristor-based recurrent neural networks (318 citations)
- Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators (189 citations)
- Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays (174 citations)
What are the main themes of his work throughout his whole career to date?
Shiping Wen spends much of his time researching Artificial neural network, Control theory, Memristor, Artificial intelligence and Synchronization.
His Artificial neural network study incorporates themes from Event, Quaternion, Exponential function, Applied mathematics and Electronic engineering.
His is doing research in Nonlinear system, Control theory, Lyapunov function, Exponential stability and Linear matrix inequality, both of which are found in Control theory.
His Nonlinear system research incorporates themes from Control system and Passivity.
He interconnects Recurrent neural network, Content-addressable memory, Convolutional neural network and Fuzzy logic in the investigation of issues within Memristor.
Shiping Wen has researched Artificial intelligence in several fields, including Machine learning, Synapse and Pattern recognition.
He most often published in these fields:
- Artificial neural network (58.11%)
- Control theory (52.70%)
- Memristor (37.16%)
What were the highlights of his more recent work (between 2020-2021)?
- Artificial neural network (58.11%)
- Control theory (52.70%)
- Memristor (37.16%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Artificial neural network, Control theory, Memristor, Lyapunov function and Control theory.
His Artificial neural network study combines topics from a wide range of disciplines, such as Equilibrium point, Exponential stability, Mathematical optimization and Multistability.
His study looks at the intersection of Exponential stability and topics like State space with Stability theory and Cellular neural network.
His work on Disturbance and Passivity as part of general Control theory study is frequently linked to Synchronization, Event based and Event, bridging the gap between disciplines.
His studies deal with areas such as Convolutional neural network and Computer engineering as well as Memristor.
His work on Sliding mode control as part of general Control theory research is often related to Leakage, thus linking different fields of science.
Between 2020 and 2021, his most popular works were:
- Memristive LSTM Network for Sentiment Analysis (28 citations)
- Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch (11 citations)
- Impulsive disturbance on stability analysis of delayed quaternion-valued neural networks (4 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mathematical analysis
- Artificial neural network
His main research concerns Artificial neural network, Control theory, Memristor, Computer engineering and Synchronization.
Artificial neural network is closely attributed to Quaternion in his work.
Control theory and Lyapunov function are the core of his Control theory study.
The study incorporates disciplines such as Finite time, Norm, Uniform boundedness and Nonlinear system in addition to Control theory.
Shiping Wen works mostly in the field of Memristor, limiting it down to topics relating to Convolutional neural network and, in certain cases, Edge computing and Quantization.
His Computer engineering research includes themes of Encoding, Reduction, Sigmoid function, Activation function and Test set.
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