H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 45 Citations 12,299 445 World Ranking 3556 National Ranking 328

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • The Internet

Qing Li mainly investigates Information retrieval, Artificial intelligence, Data mining, World Wide Web and Database. Qing Li has included themes like Linear programming, Pattern recognition and Natural language processing in his Artificial intelligence study. The concepts of his Linear programming study are interwoven with issues in Contextual image classification, Entropy, Image quality and Image translation.

The Data mining study combines topics in areas such as Machine learning, Set and Trajectory. His World Wide Web study combines topics in areas such as Multimedia, Cluster analysis and Distance education. His work deals with themes such as Software engineering and k-nearest neighbors algorithm, which intersect with Database.

His most cited work include:

  • Least Squares Generative Adversarial Networks (1888 citations)
  • Unified Modeling Language (574 citations)
  • Algorithms for Materialized View Design in Data Warehousing Environment (300 citations)

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

His scientific interests lie mostly in Artificial intelligence, Data mining, Information retrieval, World Wide Web and Database. His Artificial intelligence research is multidisciplinary, incorporating elements of Natural language processing, Task, Computer vision, Machine learning and Pattern recognition. His Data mining research incorporates themes from Object, Set and Cluster analysis.

He works on Information retrieval which deals in particular with Search engine indexing. His research in World Wide Web tackles topics such as Multimedia which are related to areas like The Internet. Many of his studies involve connections with topics such as Software engineering and Database.

He most often published in these fields:

  • Artificial intelligence (23.61%)
  • Data mining (16.48%)
  • Information retrieval (16.32%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (23.61%)
  • Natural language processing (7.13%)
  • Machine learning (6.66%)

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

Qing Li spends much of his time researching Artificial intelligence, Natural language processing, Machine learning, Representation and Pattern recognition. His Deep learning, Artificial neural network, Convolutional neural network, Embedding and Sentence study are his primary interests in Artificial intelligence. His Natural language processing research incorporates elements of Word and Task.

His biological study spans a wide range of topics, including Domain, Social media, Feature learning and Cluster analysis. Qing Li interconnects Adversarial system and Recommender system in the investigation of issues within Domain. His Pattern recognition research includes themes of Image and Modal.

Between 2018 and 2021, his most popular works were:

  • Graph Neural Networks for Social Recommendation (182 citations)
  • On the Effectiveness of Least Squares Generative Adversarial Networks (59 citations)
  • Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach (48 citations)

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

  • Artificial intelligence
  • Operating system
  • The Internet

His main research concerns Artificial intelligence, Natural language processing, Representation, Feature learning and Task. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Sequence. The various areas that Qing Li examines in his Feature learning study include Adversarial system, Recommender system, Human–computer interaction and Gradient descent.

His research integrates issues of Embedding and Set in his study of Task. As part of the same scientific family, Qing Li usually focuses on Convolutional neural network, concentrating on Hidden Markov model and intersecting with Data mining. The study incorporates disciplines such as Benchmark and Pattern recognition in addition to Contextual image classification.

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

Least Squares Generative Adversarial Networks

Xudong Mao;Qing Li;Haoran Xie;Raymond Y.K. Lau.
international conference on computer vision (2017)

2043 Citations

Unified Modeling Language

Qing Li;Yu-Liu Chen.
(2009)

980 Citations

Algorithms for Materialized View Design in Data Warehousing Environment

Jian Yang;Kamalakar Karlapalem;Qing Li.
very large data bases (1997)

507 Citations

Exploiting Topic based Twitter Sentiment for Stock Prediction

Jianfeng Si;Arjun Mukherjee;Bing Liu;Qing Li.
meeting of the association for computational linguistics (2013)

266 Citations

A meta modelng approach to workflow management systems supporting exception handling

Dickson K. W. Chiu;Qing Li;Kamalakar Karlapalem.
Information Systems (1999)

220 Citations

Graph Neural Networks for Social Recommendation

Wenqi Fan;Yao Ma;Qing Li;Yuan He.
the web conference (2019)

207 Citations

Typicality-Based Collaborative Filtering Recommendation

Yi Cai;Ho-fung Leung;Qing Li;Huaqing Min.
IEEE Transactions on Knowledge and Data Engineering (2014)

197 Citations

FACTS: A Framework for Fault-Tolerant Composition of Transactional Web Services

An Liu;Qing Li;Liusheng Huang;Mingjun Xiao.
IEEE Transactions on Services Computing (2010)

183 Citations

Web interface-driven cooperative exception handling in ADOME workflow management system

D.K.W. Chiu;Qing Li;K. Karlapalem.
web information systems engineering (2000)

178 Citations

Workflow View Driven Cross-Organizational Interoperability in a Web Service Environment

Dickson K. W. Chiu;S. C. Cheung;Sven Till;Kamalakar Karlapalem.
Information Technology & Management (2004)

174 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 Qing Li

Manfred Reichert

Manfred Reichert

University of Ulm

Publications: 31

Jun Zhang

Jun Zhang

Chinese Academy of Sciences

Publications: 29

Zhi-Hui Zhan

Zhi-Hui Zhan

South China University of Technology

Publications: 28

Chong-Wah Ngo

Chong-Wah Ngo

Singapore Management University

Publications: 25

Shing-Chi Cheung

Shing-Chi Cheung

Hong Kong University of Science and Technology

Publications: 24

Jong Chul Ye

Jong Chul Ye

Korea Advanced Institute of Science and Technology

Publications: 21

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 18

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 17

Barbara Weber

Barbara Weber

University of St. Gallen

Publications: 17

Erik Cambria

Erik Cambria

Nanyang Technological University

Publications: 17

Jun-Yan Zhu

Jun-Yan Zhu

Carnegie Mellon University

Publications: 16

Dacheng Tao

Dacheng Tao

University of Sydney

Publications: 16

Lior Wolf

Lior Wolf

Tel Aviv University

Publications: 16

Luc Van Gool

Luc Van Gool

ETH Zurich

Publications: 15

Ran He

Ran He

Chinese Academy of Sciences

Publications: 14

Something went wrong. Please try again later.