What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Statistics
Jianquan Lu mainly investigates Control theory, Synchronization, Artificial neural network, Complex network and Interval.
Jianquan Lu has included themes like Structure, Algebraic number and Differential equation in his Control theory study.
His Synchronization research includes themes of Chaotic, Small-world network, Lyapunov stability and Stability.
His Artificial neural network study integrates concerns from other disciplines, such as Decomposition method, Quaternion, Random variable and Constant.
His work in Complex network tackles topics such as Topology which are related to areas like Boolean circuit, Boolean network, Circuit minimization for Boolean functions, State and And-inverter graph.
His Interval research integrates issues from Stochastic process, Sequence, Fraction and Lyapunov function.
His most cited work include:
- Adaptive synchronization of neural networks with or without time-varying delay. (333 citations)
- Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy (319 citations)
- Exponential Synchronization of Linearly Coupled Neural Networks With Impulsive Disturbances (289 citations)
What are the main themes of his work throughout his whole career to date?
Jianquan Lu focuses on Control theory, Topology, Synchronization, Artificial neural network and Product.
The concepts of his Control theory study are interwoven with issues in Interval, Stability and Complex network.
His study in Topology is interdisciplinary in nature, drawing from both Matrix, Multi-agent system, Boolean network and Bipartite graph.
The various areas that Jianquan Lu examines in his Synchronization study include Structure, Stochastic process, Chaotic, Simple and Sequence.
The study incorporates disciplines such as Impulse and Stability in addition to Artificial neural network.
His Product study combines topics in areas such as Control, State, Controllability and Algebraic number.
He most often published in these fields:
- Control theory (66.67%)
- Topology (24.60%)
- Synchronization (23.81%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (66.67%)
- Topology (24.60%)
- Artificial neural network (24.21%)
In recent papers he was focusing on the following fields of study:
Jianquan Lu spends much of his time researching Control theory, Topology, Artificial neural network, Probabilistic logic and Control theory.
His work deals with themes such as Control, Interval, Stability and Synchronization, which intersect with Control theory.
Jianquan Lu focuses mostly in the field of Topology, narrowing it down to topics relating to Bipartite graph and, in certain cases, Multi-agent system.
His work in Artificial neural network addresses subjects such as Impulse, which are connected to disciplines such as Logarithm.
His studies deal with areas such as Time complexity, Algorithm, Finite time and Product as well as Probabilistic logic.
His research in Control theory intersects with topics in Computational complexity theory, Banach fixed-point theorem, Fuzzy cellular neural networks, Leakage and Exponential function.
Between 2019 and 2021, his most popular works were:
- Stabilization of probabilistic Boolean networks via pinning control strategy (43 citations)
- Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach (33 citations)
- Asymptotical Stability of Probabilistic Boolean Networks With State Delays (26 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Statistics
The scientist’s investigation covers issues in Control theory, Topology, Probabilistic logic, Artificial neural network and Synchronization.
His research integrates issues of Sequence and Invariant in his study of Control theory.
He has researched Topology in several fields, including Digraph and Boolean function.
His Probabilistic logic research incorporates themes from Finite time, Stability, Control, Vertex and Product.
Jianquan Lu interconnects Synchronizing, Differential inequalities and Interval in the investigation of issues within Artificial neural network.
His Interval research is multidisciplinary, incorporating perspectives in Order and Nonlinear system.
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