What is he best known for?
The fields of study Ligang Wu is best known for:
- Stochastic process
- Gene
- Statistics
His study on Statistics is interrelated to topics such as Markov process and Discrete time and continuous time.
His study brings together the fields of Control theory (sociology) and Artificial intelligence.
His study ties his expertise on Artificial intelligence together with the subject of Control theory (sociology).
He integrates Control (management) and Electrical engineering in his research.
In his works, Ligang Wu conducts interdisciplinary research on Electrical engineering and Control (management).
Quantum mechanics is closely attributed to Jump in his research.
Nonlinear system and Sliding mode control are frequently intertwined in his study.
He conducts interdisciplinary study in the fields of Sliding mode control and State observer through his works.
His research on State observer often connects related areas such as Nonlinear system.
His most cited work include:
- YTHDF2 destabilizes m6A-containing RNA through direct recruitment of the CCR4–NOT deadenylase complex (798 citations)
- State Estimation and Sliding-Mode Control of Markovian Jump Singular Systems (551 citations)
- Sliding mode control with bounded <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" display="inline" overflow="scroll">mml:msubmml:mrowmml:miℒ</mml:mi></mml:mrow>mml:mrowmml:mn2</mml:mn></mml:mrow></mml:msub></mml:math> gain performance of Markovian jump singular time-delay systems (456 citations)
What are the main themes of his work throughout his whole career to date
In his works, Ligang Wu conducts interdisciplinary research on Artificial intelligence and Computer vision.
While working on this project, Ligang Wu studies both Control (management) and Electrical engineering.
In his papers, Ligang Wu integrates diverse fields, such as Electrical engineering and Control (management).
He carries out multidisciplinary research, doing studies in Quantum mechanics and Applied mathematics.
He integrates many fields, such as Applied mathematics and Quantum mechanics, in his works.
His work in Nonlinear system is not limited to one particular discipline; it also encompasses Sliding mode control.
Sliding mode control is closely attributed to Nonlinear system in his work.
Ligang Wu undertakes interdisciplinary study in the fields of Fuzzy logic and Fuzzy control system through his works.
Ligang Wu brings together Fuzzy control system and Fuzzy logic to produce work in his papers.
Ligang Wu most often published in these fields:
- Artificial intelligence (75.97%)
- Control (management) (68.99%)
- Control theory (sociology) (67.05%)
What were the highlights of his more recent work (between 2020-2022)?
- Artificial intelligence (76.67%)
- Control (management) (70.00%)
- Control theory (sociology) (63.33%)
In recent works Ligang Wu was focusing on the following fields of study:
Ligang Wu performs multidisciplinary study in Artificial intelligence and Computer vision in his work.
In his works, Ligang Wu undertakes multidisciplinary study on Computer vision and Artificial intelligence.
His research on Control (management) often connects related areas such as Control theory (sociology).
His Control theory (sociology) study frequently draws connections to other fields, such as Control (management).
Ligang Wu performs integrative study on Quantum mechanics and Observer (physics).
He conducted interdisciplinary study in his works that combined Observer (physics) and Quantum mechanics.
Controller (irrigation) is frequently linked to Agronomy in his study.
His work in Agronomy is not limited to one particular discipline; it also encompasses Controller (irrigation).
In his articles, Ligang Wu combines various disciplines, including Operating system and Programming language.
Between 2020 and 2022, his most popular works were:
- Dissipativity-Based Sliding-Mode Control of Cyber-Physical Systems Under Denial-of-Service Attacks (38 citations)
- Sliding Mode Control of Grid-Connected Neutral-Point-Clamped Converters Via High-Gain Observer (33 citations)
- Fuzzy-Affine-Model-Based Output Feedback Dynamic Sliding Mode Controller Design of Nonlinear Systems (32 citations)
In his most recent research, the most cited works focused on:
- Gene
- Lyapunov stability
- Meiosis
His Quantization (signal processing) research focuses on Algorithm and how it relates to State (computer science).
His State (computer science) study frequently intersects with other fields, such as Algorithm.
His Machine learning study frequently draws connections between adjacent fields such as Stability (learning theory) and Artificial neural network.
Ligang Wu conducted interdisciplinary study in his works that combined Stability (learning theory) and Machine learning.
Artificial neural network and Adaptive control are two areas of study in which he engages in interdisciplinary research.
Ligang Wu integrates many fields, such as Adaptive control and Backstepping, in his works.
His Control theory (sociology) study frequently intersects with other fields, such as Control (management).
His study brings together the fields of Backstepping and Control (management).
His Control theory (sociology) research extends to Artificial intelligence, which is thematically connected.
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