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
Computer Science D-index 40 Citations 7,655 238 World Ranking 4439 National Ranking 267

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the Royal Academy of Engineering (UK)

2018 - Member of Academia Europaea

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Operating system

Yike Guo mostly deals with Artificial intelligence, Asthma, Cloud computing, Immunology and Data science. His work is dedicated to discovering how Artificial intelligence, Pattern recognition are connected with Fully automatic and other disciplines. His Asthma research integrates issues from Severity of illness, Cohort and Allergy.

His Cloud computing study combines topics in areas such as Virtual machine, Distributed computing, State, Provisioning and Focus. His study in the fields of Innate lymphoid cell and Interleukin 5 under the domain of Immunology overlaps with other disciplines such as Exhaled nitric oxide. His Data science research is multidisciplinary, incorporating elements of Bioinformatics, Database transaction, Cultural diversity, Knowledge extraction and Big data.

His most cited work include:

  • DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction (355 citations)
  • Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks (274 citations)
  • DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG (273 citations)

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

Yike Guo spends much of his time researching Artificial intelligence, Data science, Machine learning, Data mining and Immunology. His studies in Artificial intelligence integrate themes in fields like Natural language processing and Pattern recognition. His study of Segmentation is a part of Pattern recognition.

He focuses mostly in the field of Data science, narrowing it down to topics relating to Big data and, in certain cases, Cloud computing. His Immunology study integrates concerns from other disciplines, such as Transcriptome and Cohort. His study in Allergy extends to Asthma with its themes.

He most often published in these fields:

  • Artificial intelligence (28.17%)
  • Data science (10.59%)
  • Machine learning (11.63%)

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

  • Artificial intelligence (28.17%)
  • Data assimilation (6.20%)
  • Machine learning (11.63%)

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

His primary scientific interests are in Artificial intelligence, Data assimilation, Machine learning, Immunology and Asthma. His Artificial intelligence research includes elements of Brain activity and meditation and Natural language processing. The various areas that Yike Guo examines in his Machine learning study include Dynamical system, Process, Task and State.

His work on Inflammasome and Allergy as part of general Immunology study is frequently connected to FURIN Gene and TMPRSS2, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His research in Asthma intersects with topics in Transcriptome, Quality of life, COPD, Disease and Socioeconomic status. His biological study spans a wide range of topics, including Data mining, Convolutional neural network, Generative adversarial network and Complex dynamics.

Between 2019 and 2021, his most popular works were:

  • Vitamin D Metabolism is Dysregulated in Asthma and Chronic Obstructive Pulmonary Disease (16 citations)
  • Data-driven reduced order model with temporal convolutional neural network (14 citations)
  • Data-driven reduced order model with temporal convolutional neural network (14 citations)

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

  • Artificial intelligence
  • Statistics
  • Operating system

Yike Guo focuses on Artificial intelligence, Data assimilation, Algorithm, Artificial neural network and Immunology. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning and Relation. The study incorporates disciplines such as Flow, Data-driven, Basis function and Computer simulation in addition to Algorithm.

His work on Recurrent neural network as part of general Artificial neural network study is frequently linked to Consumption, bridging the gap between disciplines. In general Immunology study, his work on Asthma and Inflammasome often relates to the realm of Proteases and TMPRSS2, thereby connecting several areas of interest. The concepts of his Deep learning study are interwoven with issues in Time complexity, Errors-in-variables models, Data mining and Lorenz system.

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

Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

Hao Dong;Guang Yang;Fangde Liu;Yuanhan Mo.
Annual Conference on Medical Image Understanding and Analysis (2017)

401 Citations

Clinical and inflammatory characteristics of the European U-BIOPRED adult severe asthma cohort

Dominick E. Shaw;Ana R. Sousa;Stephen J. Fowler;Louise J. Fleming.
European Respiratory Journal (2015)

362 Citations

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

Akara Supratak;Hao Dong;Chao Wu;Yike Guo.
international conference of the ieee engineering in medicine and biology society (2017)

362 Citations

DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

Guang Yang;Simiao Yu;Hao Dong;Greg Slabaugh.
IEEE Transactions on Medical Imaging (2018)

294 Citations

Biocloud: Cloud Computing for Biological, Genomics, and Drug Design

Ching-Hsien Hsu;Chun-Yuan Lin;Ming Ouyang;Yi Ke Guo.
BioMed Research International (2013)

287 Citations

Lightweight Resource Scaling for Cloud Applications

Rui Han;Li Guo;Moustafa M. Ghanem;Yike Guo.
cluster computing and the grid (2012)

268 Citations

Air Pollution Monitoring and Mining Based on Sensor Grid in London

Yajie Ma;Mark Richards;Moustafa Ghanem;Yike Guo.
Sensors (2008)

232 Citations

Making sense of big data in health research: Towards an EU action plan

Charles Auffray;Charles Auffray;Rudi Balling;Inês Barroso;László Bencze.
Genome Medicine (2016)

198 Citations

A rule based fuzzy model for the prediction of petrophysical rock parameters

Jose Finol;Yi Ke Guo;Xu Dong Jing.
Journal of Petroleum Science and Engineering (2001)

194 Citations

T-helper cell type 2 (Th2) and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in U-BIOPRED

Chih-Hsi Scott Kuo;Chih-Hsi Scott Kuo;Stelios Pavlidis;Matthew Loza;Fred Baribaud.
European Respiratory Journal (2017)

190 Citations

Best Scientists Citing Yike Guo

Schahram Dustdar

Schahram Dustdar

TU Wien

Publications: 58

Kian Fan Chung

Kian Fan Chung

National Institutes of Health

Publications: 47

Ratko Djukanovic

Ratko Djukanovic

University of Southampton

Publications: 40

Domenico Talia

Domenico Talia

University of Calabria

Publications: 38

Peter J. Sterk

Peter J. Sterk

University of Amsterdam

Publications: 35

Ian M. Adcock

Ian M. Adcock

National Institutes of Health

Publications: 34

Hong-Linh Truong

Hong-Linh Truong

Aalto University

Publications: 32

Limsoon Wong

Limsoon Wong

National University of Singapore

Publications: 29

Peter H. Howarth

Peter H. Howarth

University of Southampton

Publications: 25

Peter G. Gibson

Peter G. Gibson

University of Newcastle Australia

Publications: 23

Andrew Bush

Andrew Bush

National Institutes of Health

Publications: 23

Maarten De Vos

Maarten De Vos

KU Leuven

Publications: 18

Sally E. Wenzel

Sally E. Wenzel

University of Pittsburgh

Publications: 17

Eugene R. Bleecker

Eugene R. Bleecker

University of Arizona

Publications: 15

Zhigang Zeng

Zhigang Zeng

Huazhong University of Science and Technology

Publications: 15

Parameswaran Nair

Parameswaran Nair

McMaster University

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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