What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Machine learning
His primary areas of study are Control theory, Control engineering, Artificial neural network, Lyapunov stability and Control theory.
His Control theory and Nonlinear system, Robust control, Robustness, Tracking error and Nonlinear control investigations all form part of his Control theory research activities.
His Robust control study incorporates themes from Fuzzy set, Fuzzy logic, Robot, Mobile robot and Feed forward.
The Control engineering study which covers Lyapunov function that intersects with Circular motion.
His Artificial neural network study is related to the wider topic of Artificial intelligence.
Yaonan Wang combines subjects such as Relay, Coupling and Symmetric matrix with his study of Control theory.
His most cited work include:
- Multi-objective self-adaptive differential evolution with elitist archive and crowding entropy-based diversity measure (151 citations)
- Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness (124 citations)
- A Novel Distributed Secondary Coordination Control Approach for Islanded Microgrids (119 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Control theory, Artificial neural network, Computer vision and Control theory.
Artificial intelligence is closely attributed to Pattern recognition in his study.
Yaonan Wang works mostly in the field of Control theory, limiting it down to concerns involving Control engineering and, occasionally, Control system.
His study in Artificial neural network is interdisciplinary in nature, drawing from both Stability and Rough set.
His biological study spans a wide range of topics, including Bottle and Support vector machine.
His research investigates the connection between Control theory and topics such as Mobile robot that intersect with issues in Motion planning.
He most often published in these fields:
- Artificial intelligence (39.46%)
- Control theory (32.31%)
- Artificial neural network (20.41%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (39.46%)
- Pattern recognition (15.31%)
- Control theory (32.31%)
In recent papers he was focusing on the following fields of study:
Yaonan Wang mainly investigates Artificial intelligence, Pattern recognition, Control theory, Feature extraction and Convolutional neural network.
Artificial intelligence is closely attributed to Computer vision in his research.
His Pattern recognition research includes elements of Spatial analysis, Precision and recall, Object detection, Cluster analysis and Point.
Control theory, Adaptive control, Nonlinear system, Robust control and Tracking error are the primary areas of interest in his Control theory study.
Yaonan Wang has researched Control theory in several fields, including Control system, Vector field and Fuzzy logic.
His biological study deals with issues like Convolution, which deal with fields such as Kernel.
Between 2018 and 2021, his most popular works were:
- Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications (30 citations)
- Weakly Supervised Biomedical Image Segmentation by Reiterative Learning (20 citations)
- Automated Visual Inspection of Glass Bottle Bottom With Saliency Detection and Template Matching (19 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Machine learning
- Control theory
His scientific interests lie mostly in Artificial intelligence, Pattern recognition, Deep learning, Convolutional neural network and Algorithm.
His Pattern recognition research incorporates themes from Artificial neural network and Feature.
His study in the field of Extreme learning machine is also linked to topics like Digital imaging.
His work focuses on many connections between Algorithm and other disciplines, such as Robot, that overlap with his field of interest in Consensus dynamics, Symmetric matrix and Computational intelligence.
His Control system study necessitates a more in-depth grasp of Control theory.
Yaonan Wang studies Control theory, namely Lyapunov stability.
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