H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 65 Citations 15,796 371 World Ranking 1114 National Ranking 24

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

Hua Wang mainly investigates Artificial intelligence, Machine learning, Data mining, Pattern recognition and Computer security. His Automatic image annotation and Support vector machine study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Regression and Robust analysis, bridging the gap between disciplines. His research integrates issues of Contextual image classification, Classifier and Alzheimer's disease in his study of Machine learning.

Hua Wang has researched Data mining in several fields, including Data set, Set and Cluster analysis. His work carried out in the field of Pattern recognition brings together such families of science as Iterative method, Multinomial logistic regression and Class. His Computer security study which covers The Internet that intersects with Electronic money, Electronic cash, Wireless sensor network and Data management.

His most cited work include:

  • Human Kidney is a Target for Novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection (243 citations)
  • Prevalence and associated metabolic factors of fatty liver disease in the elderly. (212 citations)
  • Multi-View Clustering and Feature Learning via Structured Sparsity (202 citations)

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

His scientific interests lie mostly in Artificial intelligence, Computer security, Machine learning, Data mining and Pattern recognition. Artificial intelligence is a component of his Deep learning, Support vector machine, Feature extraction, Robustness and Convolutional neural network studies. Hua Wang focuses mostly in the field of Computer security, narrowing it down to matters related to Internet privacy and, in some cases, The Internet.

His research in Machine learning is mostly focused on Semi-supervised learning. The various areas that Hua Wang examines in his Data mining study include Cluster analysis and k-anonymity. The study incorporates disciplines such as Key and Authorization in addition to Access control.

He most often published in these fields:

  • Artificial intelligence (32.11%)
  • Computer security (18.32%)
  • Machine learning (16.16%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (32.11%)
  • Pattern recognition (13.58%)
  • Machine learning (16.16%)

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

Hua Wang focuses on Artificial intelligence, Pattern recognition, Machine learning, Deep learning and Computer security. His study in Convolutional neural network, Feature extraction, Artificial neural network, Support vector machine and Robustness is carried out as part of his Artificial intelligence studies. His Pattern recognition research is multidisciplinary, incorporating perspectives in Noise and Feature.

As a member of one scientific family, he mostly works in the field of Machine learning, focusing on Disease and, on occasion, Imaging biomarker. His study looks at the relationship between Deep learning and fields such as Social media, as well as how they intersect with chemical problems. Hua Wang is interested in Cryptography, which is a field of Computer security.

Between 2018 and 2021, his most popular works were:

  • Human Kidney is a Target for Novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection (243 citations)
  • Privacy-Preserving Task Recommendation Services for Crowdsourcing (49 citations)
  • Automatic Niching Differential Evolution With Contour Prediction Approach for Multimodal Optimization Problems (40 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Artificial intelligence, Deep learning, Machine learning, Pattern recognition and Feature extraction are his primary areas of study. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Identification. His Deep learning research integrates issues from Social media and Information retrieval.

In general Machine learning, his work in Precision and recall is often linked to Regression linking many areas of study. The Pattern recognition study combines topics in areas such as Noise, Sleep and Time series. In his work, Output compare, Linear discriminant analysis and Scheme is strongly intertwined with Feature, which is a subfield of Feature extraction.

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.

Top Publications

Human Kidney is a Target for Novel Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection

Diao B;Wang C;Wang R;Feng Z.
medRxiv (2020)

348 Citations

Multi-View Clustering and Feature Learning via Structured Sparsity

Hua Wang;Feiping Nie;Heng Huang.
international conference on machine learning (2013)

242 Citations

When things matter

Yongrui Qin;Quan Z. Sheng;Nickolas J.G. Falkner;Schahram Dustdar.
Journal of Network and Computer Applications (2016)

227 Citations

Prevalence and associated metabolic factors of fatty liver disease in the elderly.

Zhongli Wang;Ming Xu;Jianhong Peng;Li Jiang.
Experimental Gerontology (2013)

212 Citations

Robust principal component analysis with non-greedy l 1 -norm maximization

Feiping Nie;Heng Huang;Chris Ding;Dijun Luo.
international joint conference on artificial intelligence (2011)

199 Citations

Multi-label linear discriminant analysis

Hua Wang;Chris Ding;Heng Huang.
european conference on computer vision (2010)

154 Citations

Identifying quantitative trait loci via group-sparse multitask regression and feature selection

Hua Wang;Feiping Nie;Heng Huang;Sungeun Kim.
Bioinformatics (2012)

152 Citations

A flexible payment scheme and its role-based access control

Hua Wang;Jinli Cao;Yanchun Zhang.
IEEE Transactions on Knowledge and Data Engineering (2005)

150 Citations

Prevalence of Toxoplasma infection in first-episode schizophrenia and comparison between Toxoplasma-seropositive and Toxoplasma-seronegative schizophrenia.

H.-L. Wang;G.-H. Wang;Q.-Y. Li;C. Shu.
Acta Psychiatrica Scandinavica (2006)

128 Citations

Image annotation using multi-label correlated Green's function

Hua Wang;Heng Huang;Chris Ding.
international conference on computer vision (2009)

126 Citations

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

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