D-Index & Metrics Best Publications

Xiaotong Shen

University of Minnesota
United States

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Mathematics D-index 40 Citations 6,718 115 World Ranking 1381 National Ranking 621

Engineering and Technology D-index 40 Citations 6,648 102 World Ranking 3623 National Ranking 1241

Research.com Recognitions

Awards & Achievements

2011 - Fellow of the American Association for the Advancement of Science (AAAS)

2006 - Fellow of the American Statistical Association (ASA)

Overview

What is he best known for?

The fields of study Xiaotong Shen is best known for:

Statistics
Statistical hypothesis testing
Machine learning

His Programming language study frequently draws connections to other fields, such as Trait and Set (abstract data type). Many of his studies on Set (abstract data type) involve topics that are commonly interrelated, such as Programming language. His Artificial intelligence study often links to related topics such as Binary classification. Xiaotong Shen connects Machine learning with Mathematical optimization in his study. In his works, Xiaotong Shen undertakes multidisciplinary study on Mathematical optimization and Machine learning. He performs multidisciplinary study on Statistics and Covariate in his works. Xiaotong Shen integrates Covariate and Statistics in his studies. He performs integrative Support vector machine and Margin (machine learning) research in his work. Xiaotong Shen performs multidisciplinary studies into Margin (machine learning) and Support vector machine in his work.

His most cited work include:

A Powerful and Adaptive Association Test for Rare Variants (142 citations)
Network-based support vector machine for classification of microarray samples (94 citations)
Probability estimation for large-margin classifiers (65 citations)

What are the main themes of his work throughout his whole career to date

As part of his Score test and Test statistic and Statistical hypothesis testing studies, Xiaotong Shen is studying Statistical hypothesis testing. He merges Statistics with Econometrics in his study. Xiaotong Shen connects Econometrics with Statistics in his study. His Artificial intelligence study often links to related topics such as Regularization (linguistics). Machine learning is often connected to Margin (machine learning) in his work. He carries out multidisciplinary research, doing studies in Algorithm and Mathematical optimization. He combines Mathematical optimization and Algorithm in his research. By researching both Data mining and Machine learning, Xiaotong Shen produces research that crosses academic boundaries. As part of his studies on Gene, Xiaotong Shen often connects relevant subjects like Association test.

Xiaotong Shen most often published in these fields:

Statistics (76.19%)
Artificial intelligence (76.19%)
Machine learning (42.86%)

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