What is he best known for?
The fields of study he is best known for:
- Statistics
- Machine learning
- Artificial intelligence
The scientist’s investigation covers issues in Statistical process control, Control chart, Statistics, Data mining and Chart.
His Statistical process control research incorporates themes from Parametric statistics, Lasso, Likelihood-ratio test, Feature selection and Process.
His Control chart research is multidisciplinary, relying on both Multivariate statistics and Standard deviation.
His studies deal with areas such as Algorithm and EWMA chart as well as Statistics.
His research in Algorithm intersects with topics in Sampling, Regression analysis, Polynomial regression and Linear model.
In Data mining, Fugee Tsung works on issues like Manufacturing, which are connected to Emerging technologies and Smart manufacturing.
His most cited work include:
- Monitoring General Linear Profiles Using Multivariate Exponentially Weighted Moving Average Schemes (213 citations)
- Pushing Quality Improvement Along Supply Chains (172 citations)
- A kernel-distance-based multivariate control chart using support vector methods (143 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Statistical process control, Control chart, Statistics, Data mining and Chart.
His study with Statistical process control involves better knowledge in Quality.
His research in Control chart focuses on subjects like Multivariate statistics, which are connected to Feature selection.
His Statistics research includes elements of Algorithm, Control limits and Econometrics.
His Data mining research is multidisciplinary, incorporating perspectives in Multiple comparisons problem and Fault detection and isolation.
The various areas that Fugee Tsung examines in his Chart study include Monte Carlo method and Autocorrelation.
He most often published in these fields:
- Statistical process control (44.50%)
- Control chart (32.00%)
- Statistics (29.50%)
What were the highlights of his more recent work (between 2015-2021)?
- Statistical process control (44.50%)
- Data mining (21.50%)
- Control chart (32.00%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Statistical process control, Data mining, Control chart, Quality and Algorithm.
His Statistical process control research includes themes of Reliability engineering and Big data.
The concepts of his Data mining study are interwoven with issues in Data quality and Cluster analysis.
His Control chart study integrates concerns from other disciplines, such as Statistics, Latent variable, Chart and Real-time computing.
His work investigates the relationship between Statistics and topics such as Econometrics that intersect with problems in Management science and Parametric statistics.
He has included themes like Control, Process and Machining in his Quality study.
Between 2015 and 2021, his most popular works were:
- The Internet of Things for Smart Manufacturing: A Review (69 citations)
- An improved approach for failure mode and effect analysis involving large group of experts: An application to the healthcare field (46 citations)
- In-Plane Shape-Deviation Modeling and Compensation for Fused Deposition Modeling Processes (41 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Machine learning
- Artificial intelligence
Fugee Tsung mainly focuses on Statistical process control, Control chart, Data mining, EWMA chart and Quality.
His Statistical process control study incorporates themes from Clustering high-dimensional data, Fault detection and isolation, Data stream mining, Statistical model and Statistic.
He combines topics linked to Mode with his work on Control chart.
His work in the fields of Data mining, such as Big data, overlaps with other areas such as STREAMS.
His work carried out in the field of EWMA chart brings together such families of science as Statistics, Binomial distribution, Chart, Autocorrelation and Econometrics.
The study incorporates disciplines such as Reference data, Sensitivity, Multivariate statistics, Shewhart individuals control chart and Feature selection in addition to Chart.
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