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 56 Citations 12,051 408 World Ranking 2073 National Ranking 198

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

Zhiwen Yu mostly deals with Artificial intelligence, Data mining, Machine learning, Cluster analysis and Social network. His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition. His study in the fields of Visualization under the domain of Data mining overlaps with other disciplines such as Incentive.

His Machine learning study combines topics in areas such as Event and Key. His work in the fields of Cluster analysis, such as Consensus clustering, Correlation clustering, Clustering high-dimensional data and Affinity propagation, intersects with other areas such as Data source. His work carried out in the field of Social network brings together such families of science as Computer security and Data science.

His most cited work include:

  • Sensor-Based Activity Recognition (625 citations)
  • Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm (445 citations)
  • TV Program Recommendation for Multiple Viewers Based on user Profile Merging (287 citations)

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

His scientific interests lie mostly in Artificial intelligence, Machine learning, Data mining, Pattern recognition and Cluster analysis. Artificial intelligence is closely attributed to Computer vision in his study. His Data mining research includes elements of Affinity propagation and Clustering high-dimensional data.

His Pattern recognition study frequently draws connections between related disciplines such as Linear subspace. His work on Cluster analysis deals in particular with Correlation clustering and Fuzzy clustering. His Correlation clustering study focuses mostly on Consensus clustering and CURE data clustering algorithm.

He most often published in these fields:

  • Artificial intelligence (37.62%)
  • Machine learning (16.64%)
  • Data mining (14.37%)

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

  • Artificial intelligence (37.62%)
  • Machine learning (16.64%)
  • Deep learning (4.35%)

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

His primary areas of study are Artificial intelligence, Machine learning, Deep learning, Cluster analysis and Field. The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Pattern recognition. The study incorporates disciplines such as Multi-task learning, Feature extraction and Robustness in addition to Machine learning.

His research integrates issues of Artificial neural network, Activity recognition, Data modeling and Compression in his study of Deep learning. His Cluster analysis research includes themes of Data mining and k-nearest neighbors algorithm. His Field study integrates concerns from other disciplines, such as Key and Data science.

Between 2019 and 2021, his most popular works were:

  • A survey on ensemble learning (54 citations)
  • Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities (23 citations)
  • KNN-BLOCK DBSCAN: Fast Clustering for Large-Scale Data (17 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Zhiwen Yu mainly focuses on Artificial intelligence, Machine learning, Deep learning, Feature extraction and Data science. His studies in Artificial intelligence integrate themes in fields like Encoder and Pattern recognition. His Machine learning research integrates issues from Multi-task learning, Point of interest and Class.

His Deep learning research is multidisciplinary, relying on both Artificial neural network, Activity recognition and Knowledge extraction. Zhiwen Yu combines subjects such as Social network, Field, The Internet, Consumer behaviour and Social media with his study of Data science. In his study, which falls under the umbrella issue of Ensemble learning, Order, Mobile computing and Dynamic pricing is strongly linked to Data modeling.

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

Sensor-Based Activity Recognition

Liming Chen;J. Hoey;C. D. Nugent;D. J. Cook.
systems man and cybernetics (2012)

907 Citations

Mobile Crowd Sensing and Computing: The Review of an Emerging Human-Powered Sensing Paradigm

Bin Guo;Zhu Wang;Zhiwen Yu;Yu Wang.
ACM Computing Surveys (2015)

654 Citations

From participatory sensing to Mobile Crowd Sensing

Bin Guo;Zhiwen Yu;Xingshe Zhou;Daqing Zhang.
international conference on pervasive computing (2014)

429 Citations

TV Program Recommendation for Multiple Viewers Based on user Profile Merging

Zhiwen Yu;Xingshe Zhou;Yanbin Hao;Jianhua Gu.
User Modeling and User-adapted Interaction (2006)

406 Citations

Opportunistic IoT: Exploring the harmonious interaction between human and the internet of things

Bin Guo;Daqing Zhang;Zhu Wang;Zhiwen Yu.
Journal of Network and Computer Applications (2013)

335 Citations

Supporting Context-Aware Media Recommendations for Smart Phones

Zhiwen Yu;Xingshe Zhou;Daqing Zhang;Chung-Yau Chin.
IEEE Pervasive Computing (2006)

270 Citations

Personalized Travel Package With Multi-Point-of-Interest Recommendation Based on Crowdsourced User Footprints

Zhiwen Yu;Huang Xu;Zhe Yang;Bin Guo.
IEEE Transactions on Human-Machine Systems (2016)

220 Citations

The Emergence of Social and Community Intelligence

Daqing Zhang;Bin Guo;Zhiwen Yu.
IEEE Computer (2011)

206 Citations

Graph-based consensus clustering for class discovery from gene expression data

Zhiwen Yu;Hau-San Wong;Hongqiang Wang.
Bioinformatics (2007)

186 Citations

From Participatory Sensing to Mobile Crowd Sensing

Bin Guo;Zhiwen Yu;Daqing Zhang;Xingshe Zhou.
arXiv: Human-Computer Interaction (2014)

170 Citations

Best Scientists Citing Zhiwen Yu

Daqing Zhang

Daqing Zhang

Télécom SudParis

Publications: 78

Chris D. Nugent

Chris D. Nugent

University of Ulster

Publications: 44

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 30

Yu Wang

Yu Wang

Temple University

Publications: 26

Lei Shu

Lei Shu

Nanjing Agricultural University

Publications: 22

Bin Guo

Bin Guo

Northwestern Polytechnical University

Publications: 19

Carlotta Domeniconi

Carlotta Domeniconi

George Mason University

Publications: 19

Dusit Niyato

Dusit Niyato

Nanyang Technological University

Publications: 18

Lina Yao

Lina Yao

UNSW Sydney

Publications: 17

Diane J. Cook

Diane J. Cook

Washington State University

Publications: 16

Feng Xia

Feng Xia

Federation University Australia

Publications: 16

Gang Pan

Gang Pan

Zhejiang University

Publications: 16

Xiangliang Zhang

Xiangliang Zhang

King Abdullah University of Science and Technology

Publications: 16

Laurence T. Yang

Laurence T. Yang

St. Francis Xavier University

Publications: 15

Burak Kantarci

Burak Kantarci

University of Ottawa

Publications: 15

Jie Wu

Jie Wu

Temple 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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