What is he best known for?
The fields of study he is best known for:
- Statistics
- World War II
- Artificial intelligence
His primary areas of investigation include Anxiety, Quality, Operations management, Construction management and Convolutional neural network.
His Quality research is multidisciplinary, incorporating elements of Procurement and Questionnaire.
His Questionnaire research includes themes of Productivity and Marketing.
The various areas that Wei Pan examines in his Operations management study include Cost engineering and High rise.
His Construction management study incorporates themes from Business process, Process, Knowledge management, Strategic management and Process management.
As a member of one scientific family, Wei Pan mostly works in the field of Convolutional neural network, focusing on Algorithm and, on occasion, Degradation.
His most cited work include:
- Towards Accurate Binary Convolutional Neural Network (234 citations)
- Recalculation of the Critical Values for Lawshe’s Content Validity Ratio (205 citations)
- Perspectives of UK housebuilders on the use of offsite modern methods of construction (190 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Architectural engineering, Artificial intelligence, Zero carbon, Gerontology and Process.
Wei Pan regularly links together related areas like High rise in his Architectural engineering studies.
His research links Machine learning with Artificial intelligence.
His research integrates issues of Diabetes mellitus and Type 2 diabetes in his study of Gerontology.
He most often published in these fields:
- Architectural engineering (8.25%)
- Artificial intelligence (6.37%)
- Zero carbon (5.42%)
What were the highlights of his more recent work (between 2019-2021)?
- Reinforcement learning (4.48%)
- Control theory (4.72%)
- Control theory (5.19%)
In recent papers he was focusing on the following fields of study:
Wei Pan mostly deals with Reinforcement learning, Control theory, Control theory, Lyapunov function and Stability.
Reinforcement learning is a subfield of Artificial intelligence that Wei Pan studies.
His Control system and Exponential stability investigations are all subjects of Control theory research.
He has included themes like Constraint and System dynamics in his Lyapunov function study.
His research in Stability intersects with topics in Control, Sample, Baseline and Distributed computing.
His Nonlinear system research integrates issues from Deep learning, Precast concrete, Motion planning and High rise.
Between 2019 and 2021, his most popular works were:
- In-situ monitoring of occupant behavior in residential buildings ‒ a timely review (9 citations)
- Energy use of subtropical high-rise public residential buildings and impacts of energy saving measures (9 citations)
- Effect of reinforced concrete slab on the flexural behavior of composite beam to column joints: Parameter study and evaluation formulae (8 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- World War II
- Artificial intelligence
Wei Pan focuses on Artificial intelligence, Structural engineering, Robot, Nonlinear system and Reinforcement learning.
Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Virtual prototyping.
His studies deal with areas such as Composite number and Yield as well as Structural engineering.
The study incorporates disciplines such as Fuzzy dematel, Perspective, Social issues and Process management in addition to Robot.
Wei Pan interconnects Baseline, Stability, Control theory, Control theory and Control in the investigation of issues within Reinforcement learning.
His High rise research is multidisciplinary, incorporating perspectives in Precast concrete and Finite element method.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
