H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology D-index 75 Citations 38,465 484 World Ranking 183 National Ranking 16

Overview

What is she best known for?

The fields of study she is best known for:

  • Gene
  • Artificial intelligence
  • Operating system

Her primary areas of study are Nanotechnology, Optoelectronics, Artificial intelligence, Computer network and Genetics. Di Wu works mostly in the field of Nanotechnology, limiting it down to topics relating to Doping and, in certain cases, Graphene nanoribbons, Electron mobility, Monolayer, Chemical vapor deposition and Graphene. Her Optoelectronics research integrates issues from Raman spectroscopy and Near-infrared spectroscopy.

As part of the same scientific family, Di Wu usually focuses on Artificial intelligence, concentrating on Pattern recognition and intersecting with Machine learning and Embedding. Her work carried out in the field of Computer network brings together such families of science as Distributed computing, Computation offloading, Multi channel, Communication channel and Vehicular ad hoc network. Her work on Genome-wide association study, Quantitative trait locus, In silico and Human genetics as part of general Genetics study is frequently linked to Drug repositioning, bridging the gap between disciplines.

Her most cited work include:

  • limma powers differential expression analyses for RNA-sequencing and microarray studies (10551 citations)
  • Clinical and immunological features of severe and moderate coronavirus disease 2019. (1781 citations)
  • Genetics of rheumatoid arthritis contributes to biology and drug discovery (1350 citations)

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

The scientist’s investigation covers issues in Condensed matter physics, Computer network, Optoelectronics, Distributed computing and Thin film. Her research is interdisciplinary, bridging the disciplines of Magnetization and Condensed matter physics. Her Computer network study frequently draws connections between related disciplines such as Wireless.

Her Distributed computing study frequently links to adjacent areas such as Cloud computing. The Thin film study combines topics in areas such as Ferroelectricity and Dielectric.

She most often published in these fields:

  • Condensed matter physics (11.34%)
  • Computer network (9.65%)
  • Optoelectronics (8.34%)

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

  • Artificial intelligence (6.78%)
  • Cancer research (5.48%)
  • Severe acute respiratory syndrome coronavirus 2 (1.30%)

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

Her scientific interests lie mostly in Artificial intelligence, Cancer research, Severe acute respiratory syndrome coronavirus 2, Virology and Edge computing. Her research integrates issues of Machine learning and Computer vision in her study of Artificial intelligence. Her Cancer research research is multidisciplinary, incorporating elements of Lung cancer, Metastasis and Cell growth.

Her study in Edge computing is interdisciplinary in nature, drawing from both Distributed computing and Edge device. Her Distributed computing research includes themes of Enhanced Data Rates for GSM Evolution, Computation offloading and Key. Her Edge device research includes elements of Real-time computing and Resource allocation.

Between 2019 and 2021, her most popular works were:

  • Clinical and immunological features of severe and moderate coronavirus disease 2019. (1781 citations)
  • The SARS-CoV-2 outbreak: What we know. (372 citations)
  • The ORF3a protein of SARS-CoV-2 induces apoptosis in cells. (86 citations)

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

  • Gene
  • Artificial intelligence
  • Operating system

Di Wu mostly deals with Severe acute respiratory syndrome coronavirus 2, Virology, Pandemic, 2019-20 coronavirus outbreak and Pneumonia. Her work investigates the relationship between Virology and topics such as RNA that intersect with problems in Viral replication. Di Wu combines subjects such as Viral immunology, Dengue virus and Gene expression profiling with her study of 2019-20 coronavirus outbreak.

The various areas that she examines in her Pneumonia study include HEK 293 cells and Transfection. Her research in Outbreak intersects with topics in Global health, Severity of illness and Lactate dehydrogenase. Di Wu integrates several fields in her works, including Coronavirus, RNA Helicase A, Ferritin, Internal medicine, Gastroenterology and CD8.

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

limma powers differential expression analyses for RNA-sequencing and microarray studies

Matthew E. Ritchie;Belinda Phipson;Di Wu;Yifang Hu.
Nucleic Acids Research (2015)

12292 Citations

Clinical and immunological features of severe and moderate coronavirus disease 2019.

Guang Chen;Di Wu;Wei Guo;Yong Cao.
Journal of Clinical Investigation (2020)

2750 Citations

Genetics of rheumatoid arthritis contributes to biology and drug discovery

Yukinori Okada;Yukinori Okada;Di Wu;Di Wu;Di Wu;Gosia Trynka;Gosia Trynka;Towfique Raj;Towfique Raj.
Nature (2014)

1459 Citations

Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers

Elgene Lim;Elgene Lim;Francois Vaillant;Di Wu;Di Wu;Natasha C Forrest.
Nature Medicine (2009)

1350 Citations

Control of mammary stem cell function by steroid hormone signalling

Marie Liesse Asselin-Labat;François Vaillant;Julie M. Sheridan;Bhupinder Pal.
Nature (2010)

682 Citations

The SARS-CoV-2 outbreak: What we know.

Di Wu;Tiantian Wu;Qun Liu;Zhicong Yang.
International Journal of Infectious Diseases (2020)

662 Citations

Isolation and Culture of Epithelial Progenitors and Mesenchymal Stem Cells from Human Endometrium

Caroline Eve Gargett;Kjiana Elkje Schwab;Rachel May Zillwood;Hong Nguyen.
Biology of Reproduction (2009)

536 Citations

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures

Xueshi Hou;Yong Li;Min Chen;Di Wu.
IEEE Transactions on Vehicular Technology (2016)

502 Citations

Camera: a competitive gene set test accounting for inter-gene correlation

Di Wu;Gordon K. Smyth.
Nucleic Acids Research (2012)

462 Citations

A library of atomically thin metal chalcogenides.

Jiadong Zhou;Junhao Lin;Xiangwei Huang;Yao Zhou.
Nature (2018)

446 Citations

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