H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 119 Citations 79,998 741 World Ranking 53 National Ranking 6

Research.com Recognitions

Awards & Achievements

2017 - ACM Fellow For contributions to artificial intelligence and data mining

2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to fundamental research and practical applications of AI planning, data mining and case-based reasoning

2012 - Fellow of the American Association for the Advancement of Science (AAAS)

2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to data mining and transfer learning

2011 - ACM Distinguished Member

2009 - IEEE Fellow For contributions to understanding and application of intelligent planning, learning and data mining

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

Qiang Yang mainly focuses on Artificial intelligence, Machine learning, Data mining, Transfer of learning and Pattern recognition. His Artificial intelligence research integrates issues from Domain and Multi-task learning, Task. His study in Multi-task learning is interdisciplinary in nature, drawing from both Active learning, Instance-based learning and Feature.

His study in Collaborative filtering, Support vector machine, Unsupervised learning, Labeled data and Decision tree is carried out as part of his Machine learning studies. His research on Data mining often connects related topics like Regression analysis. His Transfer of learning research is multidisciplinary, incorporating perspectives in Contextual image classification, Knowledge transfer and Feature vector.

His most cited work include:

  • A Survey on Transfer Learning (9736 citations)
  • Top 10 algorithms in data mining (3313 citations)
  • Graph Embedding and Extensions: A General Framework for Dimensionality Reduction (2213 citations)

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

Qiang Yang mainly investigates Artificial intelligence, Machine learning, Data mining, Transfer of learning and Information retrieval. His research integrates issues of Domain, Task and Pattern recognition in his study of Artificial intelligence. His work deals with themes such as Multi-task learning and Knowledge transfer, which intersect with Machine learning.

Transfer of learning is frequently linked to Recommender system in his study.

He most often published in these fields:

  • Artificial intelligence (32.46%)
  • Machine learning (20.02%)
  • Data mining (14.97%)

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

  • Artificial intelligence (32.46%)
  • Machine learning (20.02%)
  • Transfer of learning (9.08%)

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

His main research concerns Artificial intelligence, Machine learning, Transfer of learning, Photovoltaic system and Deep learning. Qiang Yang interconnects Domain and Pattern recognition in the investigation of issues within Artificial intelligence. The various areas that he examines in his Machine learning study include Task and Benchmark.

His Transfer of learning research is multidisciplinary, incorporating elements of Recommender system and Representation. He has researched Photovoltaic system in several fields, including Real-time computing and Mathematical optimization. His study looks at the relationship between Mathematical optimization and fields such as Distributed generation, as well as how they intersect with chemical problems.

Between 2017 and 2021, his most popular works were:

  • Federated Machine Learning: Concept and Applications (800 citations)
  • Advances and Open Problems in Federated Learning (571 citations)
  • Federated Learning in Mobile Edge Networks: A Comprehensive Survey (190 citations)

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

  • Artificial intelligence
  • Machine learning
  • Statistics

Artificial intelligence, Machine learning, Transfer of learning, Deep learning and Domain are his primary areas of study. The concepts of his Artificial intelligence study are interwoven with issues in Task and Pattern recognition. His work carried out in the field of Machine learning brings together such families of science as Representation, Knowledge transfer and Benchmark.

His Transfer of learning research incorporates elements of Recommender system, Feature learning and Service. His studies in Deep learning integrate themes in fields like Natural language processing, Edge computing, Data mining and Graph. He combines subjects such as Sentiment analysis and Transfer with his study of Domain.

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

A Survey on Transfer Learning

Sinno Jialin Pan;Qiang Yang.
IEEE Transactions on Knowledge and Data Engineering (2010)

10277 Citations

Top 10 algorithms in data mining

Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh.
Knowledge and Information Systems (2007)

5181 Citations

Graph Embedding and Extensions: A General Framework for Dimensionality Reduction

Shuicheng Yan;Dong Xu;Benyu Zhang;Hong-Jiang Zhang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2007)

3014 Citations

Domain Adaptation via Transfer Component Analysis

Sinno Jialin Pan;Ivor W Tsang;James T Kwok;Qiang Yang.
IEEE Transactions on Neural Networks (2011)

1935 Citations

Boosting for transfer learning

Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu.
international conference on machine learning (2007)

1485 Citations

EigenTransfer: a unified framework for transfer learning

Wenyuan Dai;Ou Jin;Gui-Rong Xue;Qiang Yang.
international conference on machine learning (2009)

1082 Citations

One-Class Collaborative Filtering

Rong Pan;Yunhong Zhou;Bin Cao;N.N. Liu.
international conference on data mining (2008)

923 Citations

Scalable collaborative filtering using cluster-based smoothing

Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi.
international acm sigir conference on research and development in information retrieval (2005)

874 Citations

10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

Qiang Yang;Xindong Wu.
International Journal of Information Technology and Decision Making (2006)

764 Citations

Collaborative location and activity recommendations with GPS history data

Vincent W. Zheng;Yu Zheng;Xing Xie;Qiang Yang.
the web conference (2010)

753 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.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Qiang Yang

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 143

Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 90

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 82

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 74

Yun Fu

Yun Fu

Northeastern University

Publications: 73

Xing Xie

Xing Xie

Microsoft (United States)

Publications: 72

Francisco Herrera

Francisco Herrera

University of Granada

Publications: 72

Hui Xiong

Hui Xiong

Rutgers, The State University of New Jersey

Publications: 66

Jerry Chun-Wei Lin

Jerry Chun-Wei Lin

Western Norway University of Applied Sciences

Publications: 64

Subbarao Kambhampati

Subbarao Kambhampati

Arizona State University

Publications: 63

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 60

Michael R. Lyu

Michael R. Lyu

Chinese University of Hong Kong

Publications: 60

David Zhang

David Zhang

Chinese University of Hong Kong, Shenzhen

Publications: 58

Thomas S. Huang

Thomas S. Huang

University of Illinois at Urbana-Champaign

Publications: 58

Vincent S. Tseng

Vincent S. Tseng

National Yang Ming Chiao Tung University

Publications: 58

Something went wrong. Please try again later.