Luke Bhan
Luke Bhan publishes mostly in Control and Systems Engineering, Statistical and Nonlinear Physics and Computational Theory and Mathematics, on topics such as Model Reduction and Neural Networks, Stability and Controllability of Differential Equations and Adaptive Control of Nonlinear Systems.
- World rank
- #2,495,207 of 7,710,434 ranked researchers
- Rank in United States
- #735,968 of 1,627,098
- Works
- 35
- Citations
- 179
- Citations per work
- 5.1
What does Luke Bhan research?
Luke Bhan's work is mostly in Engineering (46%), Physics and Astronomy (23%), Computer Science (19%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences3188.0%
- Engineering1645.5%
- Physics and Astronomy823.3%
- Computer Science719.2%
- Everything else412.0%
- 1Control and Systems Engineering46% of their works
- 2Statistical and Nonlinear Physics18% of their works
- 3Computational Theory and Mathematics9% of their works
- 4Artificial Intelligence6% of their works
- 5Atomic and Molecular Physics, and Optics5% of their works
- 6Computer Networks and Communications4% of their works
Research topics
- Model Reduction and Neural Networks
- Stability and Controllability of Differential Equations
- Adaptive Control of Nonlinear Systems
- Adaptive Dynamic Programming Control
- Advanced Control Systems Optimization
- Control Systems and Identification
- Stability and Control of Uncertain Systems
- Neural Networks and Applications
Which keywords describe Luke Bhan's research?
The keywords of their largest research topics: Nonlinear Systems, Feedback Control, Deep Learning, Model Reduction, Partial Differential Equations, Boundary Control, Distributed Parameter Systems and Neural Networks.
- Self-Organizing Maps
- Networked Control Systems
- System Identification
- Optimization
- Reinforcement Learning
- Sliding Mode Control
- Stability Analysis
- Neural Networks
- Boundary Control
- Model Reduction
- Feedback Control
- Nonlinear Systems
- Deep Learning
- Partial Differential Equations
- Distributed Parameter Systems
- Robust Control
- Adaptive Control
- Adaptive Dynamic Programming
- Model Predictive Control
- Parameter Estimation
- Event-Triggered Control
- Backpropagation Learning
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.
All 22 words, with their numbers
- Nonlinear Systems344 topics
- Feedback Control212 topics
- Deep Learning182 topics
- Model Reduction151 topic
- Partial Differential Equations151 topic
- Boundary Control131 topic
- Distributed Parameter Systems131 topic
- Neural Networks92 topics
- Robust Control92 topics
- Stability Analysis92 topics
- Adaptive Control81 topic
- Sliding Mode Control81 topic
- Adaptive Dynamic Programming61 topic
- Reinforcement Learning61 topic
- Model Predictive Control51 topic
- Optimization51 topic
- Parameter Estimation51 topic
- System Identification51 topic
- Event-Triggered Control41 topic
- Networked Control Systems41 topic
- Backpropagation Learning31 topic
- Self-Organizing Maps31 topic
Where does Luke Bhan work?
Luke Bhan's main affiliation in the publication record is University of California San Diego, United States.
How many publications and citations does Luke Bhan have?
OpenAlex counts 35 works and 179 citations for Luke Bhan, an h-index of 7, ranking #2,495,207 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
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