D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index 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. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 45 Citations 6,849 231 World Ranking 1930 National Ranking 194

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Cancer
  • Gene

Yu Wang spends much of his time researching Geotechnical engineering, Statistics, Bayesian probability, Probabilistic logic and Monte Carlo method. His Geotechnical engineering study combines topics in areas such as Soil water and Representative elementary volume. The study of Statistics is intertwined with the study of Compressed sensing in a number of ways.

The study incorporates disciplines such as Test data, Data mining, Probability and statistics and Marginal distribution in addition to Bayesian probability. Yu Wang has researched Probabilistic logic in several fields, including Parametric statistics, Slope stability analysis, Bayesian hierarchical modeling, Algorithm and Upper and lower bounds. His Monte Carlo method research includes themes of Conditional probability, Reliability engineering and Indoor air quality.

His most cited work include:

  • Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. (622 citations)
  • Network Traffic Classification Using Correlation Information (221 citations)
  • When Intrusion Detection Meets Blockchain Technology: A Review (197 citations)

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

His primary areas of investigation include Geotechnical engineering, Bayesian probability, Data mining, Internal medicine and Probabilistic logic. His Geotechnical engineering study combines topics from a wide range of disciplines, such as Structural engineering, Limit state design, Soil properties and Spatial variability. Bayesian probability is a subfield of Statistics that he tackles.

Yu Wang combines subjects such as Traffic classification and Machine learning, Cluster analysis, Artificial intelligence with his study of Data mining. His study in Probabilistic logic is interdisciplinary in nature, drawing from both Characterization and Monte Carlo method. He interconnects Reliability and Reliability engineering in the investigation of issues within Monte Carlo method.

He most often published in these fields:

  • Geotechnical engineering (20.09%)
  • Bayesian probability (10.28%)
  • Data mining (9.11%)

What were the highlights of his more recent work (between 2019-2021)?

  • Geotechnical engineering (20.09%)
  • Internal medicine (8.88%)
  • Spatial variability (4.67%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Geotechnical engineering, Internal medicine, Spatial variability, Oncology and Bayesian probability. Yu Wang has researched Geotechnical engineering in several fields, including Geostatistics and Computer simulation. His work on Hepatocellular carcinoma, Hazard ratio and Retrospective cohort study as part of his general Internal medicine study is frequently connected to In patient, thereby bridging the divide between different branches of science.

The Spatial variability study combines topics in areas such as Soil science, Soil water, Factor of safety and Finite element method. His biological study spans a wide range of topics, including Algorithm, Compressed sensing and Parametric statistics. His Algorithm research integrates issues from Soil horizon, Bayesian inference, Marginal distribution and Markov chain Monte Carlo.

Between 2019 and 2021, his most popular works were:

  • Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. (622 citations)
  • Detecting insider attacks in medical cyber–physical networks based on behavioral profiling (19 citations)
  • Clinical characteristics of 17 patients with COVID-19 and systemic autoimmune diseases: a retrospective study. (15 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Cancer
  • Gene

His primary areas of study are Geotechnical engineering, Nonparametric statistics, Interpolation, Probabilistic logic and Algorithm. His Landslide risk assessment study in the realm of Geotechnical engineering interacts with subjects such as Statistical analysis. His Probabilistic logic research focuses on Soil water and how it relates to Probabilistic method, Borehole and Monte Carlo method.

His Algorithm research is multidisciplinary, incorporating perspectives in Soil horizon, Supervised learning and Markov chain Monte Carlo. Yu Wang works mostly in the field of Markov chain Monte Carlo, limiting it down to concerns involving Bayesian inference and, occasionally, Spatial variability. Yu Wang combines subjects such as Machine learning and Bayesian probability with his study of Multivariate interpolation.

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.

Best Publications

Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.

L. Zhang;F. Zhu;L. Xie;C. Wang.
Annals of Oncology (2020)

958 Citations

Network Traffic Classification Using Correlation Information

Jun Zhang;Yang Xiang;Yu Wang;Wanlei Zhou.
IEEE Transactions on Parallel and Distributed Systems (2013)

338 Citations

When Intrusion Detection Meets Blockchain Technology: A Review

Weizhi Meng;Elmar Wolfgang Tischhauser;Qingju Wang;Yu Wang.
IEEE Access (2018)

272 Citations

Engineering Risk Assessment with Subset Simulation

Siu-Kui Au;Yu Wang.
(2014)

207 Citations

Efficient Monte Carlo Simulation of parameter sensitivity in probabilistic slope stability analysis

Yu Wang;Zijun Cao;Siu Kui Au.
Computers and Geotechnics (2010)

162 Citations

Bayesian perspective on geotechnical variability and site characterization

Yu Wang;Zijun Cao;Dianqing Li.
Engineering Geology (2016)

160 Citations

Bayesian Approach for Probabilistic Site Characterization Using Cone Penetration Tests

Zijun Cao;Yu Wang.
Journal of Geotechnical and Geoenvironmental Engineering (2013)

154 Citations

Bayesian approach for probabilistic characterization of sand friction angles

Yu Wang;Siu Kui Au;Zijun Cao.
Engineering Geology (2010)

149 Citations

Bayesian model comparison and selection of spatial correlation functions for soil parameters

Zijun Cao;Yu Wang.
Structural Safety (2014)

140 Citations

Probabilistic characterization of Young's modulus of soil using equivalent samples

Yu Wang;Zijun Cao.
Engineering Geology (2013)

137 Citations

Best Scientists Citing Yu Wang

Dian-Qing Li

Dian-Qing Li

Wuhan University

Publications: 56

Kok-Kwang Phoon

Kok-Kwang Phoon

Singapore University of Technology and Design

Publications: 56

C. Hsein Juang

C. Hsein Juang

Clemson University

Publications: 45

Li Min Zhang

Li Min Zhang

Hong Kong University of Science and Technology

Publications: 38

Yang Xiang

Yang Xiang

Swinburne University of Technology

Publications: 36

Jianye Ching

Jianye Ching

National Taiwan University

Publications: 29

Wanlei Zhou

Wanlei Zhou

City University of Macau

Publications: 22

Ka-Veng Yuen

Ka-Veng Yuen

University of Macau

Publications: 20

Charles Wang Wai Ng

Charles Wang Wai Ng

Hong Kong University of Science and Technology

Publications: 20

Jinsong Huang

Jinsong Huang

University of Newcastle Australia

Publications: 20

Hongwei Huang

Hongwei Huang

Tongji University

Publications: 17

William W. Yu

William W. Yu

Louisiana State University in Shreveport

Publications: 16

Wengang Zhang

Wengang Zhang

Chongqing University

Publications: 15

Tian-Chyi Jim Yeh

Tian-Chyi Jim Yeh

University of Arizona

Publications: 14

Chuangbing Zhou

Chuangbing Zhou

Nanchang University

Publications: 14

Michael Beer

Michael Beer

University of Liverpool

Publications: 14

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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