What is he best known for?
The fields of study he is best known for:
- Statistics
- Artificial intelligence
- Machine learning
Kwok-Leung Tsui mainly focuses on Statistics, Algorithm, Data mining, Mathematical optimization and Simulation.
The various areas that he examines in his Statistics study include EWMA chart, Control chart and Control limits.
His studies in Algorithm integrate themes in fields like Rolling-element bearing and Bearing.
His research integrates issues of Multivariate statistics, Design methods, Noise and Engineering design process in his study of Mathematical optimization.
His Simulation study incorporates themes from Stochastic simulation and Industrial engineering.
His Orthogonal array study, which is part of a larger body of work in Taguchi methods, is frequently linked to Lambda, bridging the gap between disciplines.
His most cited work include:
- A procedure for robust design: Minimizing variations caused by noise factors and control factors (486 citations)
- Signal-to-noise ratios, performance criteria, and transformations (408 citations)
- State of charge estimation of lithium-ion batteries using the open-circuit voltage at various ambient temperatures (352 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Statistics, Artificial intelligence, Data mining, Mathematical optimization and Control chart.
His Statistics research incorporates themes from EWMA chart, Statistical process control and Econometrics.
His Artificial intelligence research integrates issues from Machine learning and Pattern recognition.
His study connects Taguchi methods and Mathematical optimization.
His Noise research extends to the thematically linked field of Taguchi methods.
His study on Control chart is mostly dedicated to connecting different topics, such as CUSUM.
He most often published in these fields:
- Statistics (16.13%)
- Artificial intelligence (11.66%)
- Data mining (9.68%)
What were the highlights of his more recent work (between 2018-2021)?
- Artificial intelligence (11.66%)
- Battery (6.45%)
- Algorithm (7.94%)
In recent papers he was focusing on the following fields of study:
Kwok-Leung Tsui mostly deals with Artificial intelligence, Battery, Algorithm, Reliability engineering and Cluster analysis.
His Artificial intelligence research is multidisciplinary, incorporating elements of Redundancy, Machine learning and Pattern recognition.
His research in Battery intersects with topics in Robustness, Lithium and Voltage.
His Algorithm study incorporates themes from Statistic, Chart and Frequency domain.
Kwok-Leung Tsui works on Reliability engineering which deals in particular with Prognostics.
His Cluster analysis research incorporates themes from Transport engineering and Public transport.
Between 2018 and 2021, his most popular works were:
- Forecasting tourist arrivals with machine learning and internet search index (74 citations)
- Fostering linguistic decision-making under uncertainty: A proportional interval type-2 hesitant fuzzy TOPSIS approach based on Hamacher aggregation operators and andness optimization models (40 citations)
- A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis (35 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Machine learning
His scientific interests lie mostly in Battery, Lithium, Bearing, Reliability engineering and Robustness.
His Battery study combines topics from a wide range of disciplines, such as Fade and Algorithm.
The Lithium study which covers State of charge that intersects with Voltage, Charge control, Topology and Recurrent neural network.
The various areas that he examines in his Bearing study include Vibration, Anomaly detection, Smoothness, Frequency domain and Exponential function.
His study in Reliability engineering focuses on Prognostics in particular.
His biological study deals with issues like Machine learning, which deal with fields such as Artificial intelligence.
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