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 86 Citations 24,942 776 World Ranking 77 National Ranking 37

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Gene
  • Internal medicine

Fei Wang mostly deals with Artificial intelligence, Cell biology, Neuroscience, Machine learning and Myosin. His Artificial intelligence study combines topics in areas such as Graph, Non-negative matrix factorization, Data mining and Pattern recognition. Fei Wang works mostly in the field of Cell biology, limiting it down to concerns involving Embryonic stem cell and, occasionally, Cellular differentiation.

Neuroscience is frequently linked to Schizophrenia in his study. His research investigates the connection between Myosin and topics such as Actin that intersect with issues in Cytoskeleton. His biological study spans a wide range of topics, including Magnetic resonance imaging, Central nervous system and Brain mapping.

His most cited work include:

  • Reversion of the Malignant Phenotype of Human Breast Cells in Three-Dimensional Culture and In Vivo by Integrin Blocking Antibodies (1226 citations)
  • Deep learning for healthcare: review, opportunities and challenges. (705 citations)
  • Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN (660 citations)

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

Fei Wang mainly investigates Artificial intelligence, Machine learning, Internal medicine, Neuroscience and Data mining. The various areas that Fei Wang examines in his Artificial intelligence study include Computer vision and Pattern recognition. His study connects Endocrinology and Internal medicine.

Neuroscience is closely attributed to Schizophrenia in his work.

He most often published in these fields:

  • Artificial intelligence (16.14%)
  • Machine learning (6.73%)
  • Internal medicine (7.30%)

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

  • Artificial intelligence (16.14%)
  • Machine learning (6.73%)
  • Chemical engineering (5.88%)

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

Fei Wang focuses on Artificial intelligence, Machine learning, Chemical engineering, Internal medicine and Deep learning. His studies deal with areas such as Graph, MEDLINE and Pattern recognition as well as Artificial intelligence. His Chemical engineering study combines topics from a wide range of disciplines, such as Supercapacitor and Electrochemistry.

His Electrochemistry study results in a more complete grasp of Electrode. His studies in Internal medicine integrate themes in fields like Major depressive disorder and Oncology. His Major depressive disorder study is associated with Neuroscience.

Between 2019 and 2021, his most popular works were:

  • High Temperature and High Humidity Reduce the Transmission of COVID-19. (81 citations)
  • An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China (66 citations)
  • Artificial intelligence in COVID-19 drug repurposing. (58 citations)

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

  • Artificial intelligence
  • Gene
  • Internal medicine

Fei Wang spends much of his time researching Artificial intelligence, Chemical engineering, Data science, Machine learning and Major depressive disorder. As part of one scientific family, Fei Wang deals mainly with the area of Artificial intelligence, narrowing it down to issues related to the MEDLINE, and often Coronavirus disease 2019. His Chemical engineering research includes themes of Faraday efficiency and Electrochemistry.

His Machine learning research is multidisciplinary, incorporating elements of Retrospective cohort study and News aggregator. The concepts of his Major depressive disorder study are interwoven with issues in Bipolar disorder, First episode, Internal medicine, Resting state fMRI and Prefrontal cortex. His Bipolar disorder research is multidisciplinary, relying on both White matter and Oncology.

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

Reversion of the Malignant Phenotype of Human Breast Cells in Three-Dimensional Culture and In Vivo by Integrin Blocking Antibodies

V.M. Weaver;O.W. Petersen;F. Wang;C.A. Larabell.
Journal of Cell Biology (1997)

1626 Citations

Deep learning for healthcare: review, opportunities and challenges.

Riccardo Miotto;Fei Wang;Shuang Wang;Xiaoqian Jiang.
Briefings in Bioinformatics (2018)

1188 Citations

Label Propagation through Linear Neighborhoods

Fei Wang;Changshui Zhang.
IEEE Transactions on Knowledge and Data Engineering (2008)

897 Citations

Electrical signals control wound healing through phosphatidylinositol-3-OH kinase-γ and PTEN

Min Zhao;Bing Song;Jin Pu;Teiji Wada.
Nature (2006)

882 Citations

Reciprocal interactions between β1-integrin and epidermal growth factor receptor in three-dimensional basement membrane breast cultures: A different perspective in epithelial biology

Fei Wang;Valerie M. Weaver;Ole W. Petersen;Carolyn A. Larabell.
Proceedings of the National Academy of Sciences of the United States of America (1998)

871 Citations

Divergent signals and cytoskeletal assemblies regulate self-organizing polarity in neutrophils.

Jingsong Xu;Fei Wang;Alexandra Van Keymeulen;Alexandra Van Keymeulen;Paul Herzmark.
Cell (2003)

746 Citations

Material properties of the cell dictate stress-induced spreading and differentiation in embryonic stem cells

Farhan Chowdhury;Sungsoo Na;Sungsoo Na;Dong Li;Yeh Chuin Poh.
Nature Materials (2010)

575 Citations

Rac and Cdc42 play distinct roles in regulating PI(3,4,5)P3 and polarity during neutrophil chemotaxis.

Supriya Srinivasan;Fei Wang;Suzana Glavas;Alexander Ott.
Journal of Cell Biology (2003)

544 Citations

Lipid products of PI(3)Ks maintain persistent cell polarity and directed motility in neutrophils.

Fei Wang;Paul Herzmark;Orion D. Weiner;Supriya Srinivasan.
Nature Cell Biology (2002)

541 Citations

The Epstein-Barr virus LMP1 gene product induces A20 zinc finger protein expression by activating nuclear factor kappa B.

C. D. Laherty;Hong Ming Hu;A. W. Opipari;F. Wang.
Journal of Biological Chemistry (1992)

530 Citations

Best Scientists Citing Fei Wang

Mina J. Bissell

Mina J. Bissell

Lawrence Berkeley National Laboratory

Publications: 127

James R. Sellers

James R. Sellers

National Institutes of Health

Publications: 87

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 64

Jianfeng Feng

Jianfeng Feng

Fudan University

Publications: 61

Valerie M. Weaver

Valerie M. Weaver

University of California, San Francisco

Publications: 52

Edmund T. Rolls

Edmund T. Rolls

University of Warwick

Publications: 49

Qiyong Gong

Qiyong Gong

Sichuan University

Publications: 48

Mary L. Phillips

Mary L. Phillips

University of Pittsburgh

Publications: 48

Mitsunori Fukuda

Mitsunori Fukuda

Tohoku University

Publications: 47

Peng Cui

Peng Cui

Tsinghua University

Publications: 46

Mitsuo Ikebe

Mitsuo Ikebe

University of Massachusetts Medical School

Publications: 45

Zhao Zhang

Zhao Zhang

Hefei University of Technology

Publications: 44

Jianjun Cheng

Jianjun Cheng

University of Illinois at Urbana-Champaign

Publications: 43

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 43

Paolo Brambilla

Paolo Brambilla

University of Milan

Publications: 41

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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