D-Index & Metrics Best Publications
Engineering and Technology
China
2022

D-Index & Metrics 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.

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 78 Citations 26,948 328 World Ranking 248 National Ranking 32

Research.com Recognitions

Awards & Achievements

2022 - Research.com Engineering and Technology in China Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Artificial intelligence
  • Law

His primary areas of investigation include Probability and statistics, Data mining, Complex network, Ranking and Scale-free network. Tao Zhou combines subjects such as Complex system, Computation, Resource allocation and Power law with his study of Probability and statistics. Tao Zhou undertakes interdisciplinary study in the fields of Data mining and Speedup through his research.

His Complex network study combines topics from a wide range of disciplines, such as Ecology, Centrality, Information technology, Network model and Link. Tao Zhou has researched Ranking in several fields, including Algorithm, Collaborative filtering and PageRank. His work in Learning to rank addresses subjects such as Search algorithm, which are connected to disciplines such as Ranking, Bioinformatics, Data science and The Internet.

His most cited work include:

  • Link prediction in complex networks: A survey (1693 citations)
  • Link prediction in complex networks: A survey (1693 citations)
  • Predicting missing links via local information (960 citations)

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

Tao Zhou spends much of his time researching Complex network, Data mining, Statistical physics, Recommender system and Probability and statistics. His research on Complex network also deals with topics like

  • Topology and related Scale-free network,
  • Degree that intertwine with fields like Enhanced Data Rates for GSM Evolution. His study in Data mining is interdisciplinary in nature, drawing from both Node, Similarity and Bipartite graph.

Recommender system is frequently linked to The Internet in his study. Probability and statistics connects with themes related to Complex system in his study. As a part of the same scientific study, he usually deals with the Collaborative filtering, concentrating on Ranking and frequently concerns with Algorithm.

He most often published in these fields:

  • Complex network (19.18%)
  • Data mining (23.80%)
  • Statistical physics (17.94%)

What were the highlights of his more recent work (between 2017-2021)?

  • Complex network (19.18%)
  • Network science (3.73%)
  • Enhanced Data Rates for GSM Evolution (3.91%)

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

His primary scientific interests are in Complex network, Network science, Enhanced Data Rates for GSM Evolution, Degree and Coronavirus disease 2019. The Complex network study which covers Statistical physics that intersects with Dynamics. His research integrates issues of Induced subgraph, Data mining, Identification, Greedy algorithm and Component in his study of Network science.

His Data mining research incorporates themes from Cluster analysis, Prediction algorithms and Hop. His Enhanced Data Rates for GSM Evolution research includes elements of Katz centrality, Measure, Topology, Benchmark and Index. His research in Degree intersects with topics in Mathematical optimization, Eigenvector centrality, Theoretical computer science and Edge based.

Between 2017 and 2021, his most popular works were:

  • Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV. (195 citations)
  • Coevolution spreading in complex networks. (85 citations)
  • Scalable Content-Aware Collaborative Filtering for Location Recommendation (43 citations)

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

  • Statistics
  • Artificial intelligence
  • Law

His main research concerns Complex network, Econometrics, Probability and statistics, Network science and Degree. His Complex network research incorporates elements of Node, Phase transition, Statistical physics and Node. His Node research includes themes of Computational complexity theory, Measure, Theoretical computer science and Network complexity.

Tao Zhou combines subjects such as Entropy, Estimator, Link and Algorithm with his study of Probability and statistics. His Network science research is multidisciplinary, incorporating perspectives in Linear programming, Economic expansion and Multivariate statistics. Tao Zhou interconnects Stochastic game, Rationality and Evolutionary game theory in the investigation of issues within Degree.

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

Link prediction in complex networks: A survey

Linyuan Lü;Linyuan Lü;Linyuan Lü;Tao Zhou;Tao Zhou.
Physica A-statistical Mechanics and Its Applications (2011)

2729 Citations

Predicting missing links via local information

Tao Zhou;Tao Zhou;Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang.
European Physical Journal B (2009)

1569 Citations

Bipartite network projection and personal recommendation.

Tao Zhou;Tao Zhou;Jie Ren;Matúš Medo;Yi-Cheng Zhang;Yi-Cheng Zhang.
Physical Review E (2007)

1348 Citations

Solving the apparent diversity-accuracy dilemma of recommender systems

Tao Zhou;Zoltán Kuscsik;Jian-Guo Liu;Matúš Medo.
Proceedings of the National Academy of Sciences of the United States of America (2010)

1061 Citations

Identifying influential nodes in complex networks

Duanbing Chen;Linyuan Lü;Ming-Sheng Shang;Yi-Cheng Zhang;Yi-Cheng Zhang.
Physica A-statistical Mechanics and Its Applications (2012)

974 Citations

Vital nodes identification in complex networks

Linyuan Lü;Linyuan Lü;Duanbing Chen;Xiao-Long Ren;Qian-Ming Zhang.
Physics Reports (2016)

893 Citations

Recommender Systems

Linyuan Lü;Matus Medo;Chi Ho Yeung;Yi-Cheng Zhang.
arXiv: Physics and Society (2012)

834 Citations

Efficient routing on complex networks.

Gang Yan;Tao Zhou;Bo Hu;Zhong-Qian Fu.
Physical Review E (2006)

715 Citations

Leaders in social networks, the Delicious case.

Linyuan Lü;Yi-Cheng Zhang;Yi-Cheng Zhang;Yi-Cheng Zhang;Chi Ho Yeung;Chi Ho Yeung;Chi Ho Yeung;Tao Zhou;Tao Zhou;Tao Zhou.
PLOS ONE (2011)

704 Citations

Similarity index based on local paths for link prediction of complex networks.

Linyuan Lü;Ci-Hang Jin;Tao Zhou;Tao Zhou.
Physical Review E (2009)

623 Citations

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