H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 30 Citations 5,556 118 World Ranking 6616 National Ranking 83

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Machine learning

His primary scientific interests are in Artificial intelligence, Computer security, Risk analysis, Mobile device and Crowdsourcing. His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning, Corporate governance and Ethical decision. His study in the field of Threat model is also linked to topics like Compromise.

His biological study deals with issues like Workload, which deal with fields such as Crowdsourcing software development, Intelligent agent, Resource allocation and Simulation. The Mobile device study which covers Overhead that intersects with Process. His World Wide Web study also includes fields such as

  • Training set which intersects with area such as Service provider,
  • Empirical research together with Knowledge management.

His most cited work include:

  • Advances and Open Problems in Federated Learning (571 citations)
  • A Survey of Trust and Reputation Management Systems in Wireless Communications (229 citations)
  • Visual Domain Adaptation with Manifold Embedded Distribution Alignment (177 citations)

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

Han Yu mainly investigates Artificial intelligence, Machine learning, Knowledge management, Crowdsourcing and Human–computer interaction. His Artificial intelligence study frequently draws connections between related disciplines such as Pattern recognition. His Knowledge management research includes elements of Multi-agent system, Decision support system and Empirical research.

He combines subjects such as Quality, Workload, Incentive and Operations research with his study of Crowdsourcing. His Human–computer interaction research incorporates elements of Virtual learning environment and Multimedia. His Transfer of learning research incorporates themes from Domain and Training set.

He most often published in these fields:

  • Artificial intelligence (25.64%)
  • Machine learning (14.87%)
  • Knowledge management (14.36%)

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

  • Artificial intelligence (25.64%)
  • Federated learning (8.21%)
  • Machine learning (14.87%)

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

His scientific interests lie mostly in Artificial intelligence, Federated learning, Machine learning, Incentive and Operations research. Han Yu has researched Artificial intelligence in several fields, including Collaborative learning and Pattern recognition. The Federated learning study combines topics in areas such as Computer security, Key, Threat model, Inference and Human–computer interaction.

His work in Machine learning tackles topics such as Focus which are related to areas like Feature selection, Class and Space. His Transfer of learning study combines topics in areas such as Domain and Training set. His research integrates issues of Service provider, World Wide Web and Data collection in his study of Orchestration.

Between 2019 and 2021, his most popular works were:

  • Threats to Federated Learning: A Survey (47 citations)
  • A Fairness-aware Incentive Scheme for Federated Learning (35 citations)
  • Advances and Open Problems in Federated Learning (28 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

His primary areas of study are Federated learning, Artificial intelligence, Computer security, Machine learning and Inference. His Federated learning research includes themes of Data science, Leverage and Human–computer interaction. His study involves Benchmark and Deep learning, a branch of Artificial intelligence.

Han Yu has included themes like Divergence, Kernel method, Transfer of learning, Conditional probability distribution and Structural risk minimization in his Deep learning study. His Machine learning study incorporates themes from Domain, Sample and Focus. His studies in Inference integrate themes in fields like Information privacy, Threat model and Robustness.

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.

Top Publications

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
Foundations and Trends® in Machine Learning (2021)

603 Citations

Advances and Open Problems in Federated Learning

Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet.
arXiv: Learning (2019)

585 Citations

A Survey of Trust and Reputation Management Systems in Wireless Communications

Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung.
Proceedings of the IEEE (2010)

289 Citations

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

Jindong Wang;Wenjie Feng;Yiqiang Chen;Han Yu.
acm multimedia (2018)

254 Citations

A Survey of Multi-Agent Trust Management Systems

Han Yu;Zhiqi Shen;Cyril Leung;Chunyan Miao.
IEEE Access (2013)

227 Citations

Towards a trust aware cognitive radio architecture

Tao Qin;Han Yu;Cyril Leung;Zhiqi Shen.
Mobile Computing and Communications Review (2009)

134 Citations

Threats to Federated Learning: A Survey

Lingjuan Lyu;Han Yu;Qiang Yang.
arXiv: Cryptography and Security (2020)

126 Citations

A Survey of Zero-Shot Learning: Settings, Methods, and Applications

Wei Wang;Vincent W. Zheng;Han Yu;Chunyan Miao.
ACM Transactions on Intelligent Systems and Technology (2019)

126 Citations

Mitigating Herding in Hierarchical Crowdsourcing Networks.

Han Yu;Chunyan Miao;Cyril Leung;Cyril Leung;Yiqiang Chen;Yiqiang Chen.
Scientific Reports (2016)

117 Citations

Building ethics into artificial intelligence

Han Yu;Zhiqi Shen;Chunyan Miao;Cyril Leung;Cyril Leung.
international joint conference on artificial intelligence (2018)

90 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Han Yu

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Agency for Science, Technology and Research

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