H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 35 Citations 7,576 224 World Ranking 5839 National Ranking 557

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • The Internet

His primary scientific interests are in World Wide Web, Social media, Artificial intelligence, The Internet and Collaborative filtering. Daniel Zeng has included themes like Social influence and Interpersonal relationship in his Social media study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Transaction data and Machine learning.

His work on Web server is typically connected to CPU cache as part of general The Internet study, connecting several disciplines of science. His work carried out in the field of Collaborative filtering brings together such families of science as Hopfield network, Collaborative software, Random graph theory and Search algorithm. His Sentiment analysis study incorporates themes from Text mining, Information retrieval and Data science.

His most cited work include:

  • Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering (564 citations)
  • Social Computing: From Social Informatics to Social Intelligence (449 citations)
  • Social Media Analytics and Intelligence (328 citations)

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

His primary areas of investigation include Data science, Artificial intelligence, Social media, Information retrieval and Data mining. His studies deal with areas such as Infectious disease, World Wide Web, Social computing and Data visualization as well as Data science. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Natural language processing.

His Social media research is multidisciplinary, relying on both Sentiment analysis, Cognitive psychology, Popularity and Empirical research. His Information retrieval research includes elements of Web page and The Internet. His Collaborative filtering study is concerned with the larger field of Recommender system.

He most often published in these fields:

  • Data science (23.04%)
  • Artificial intelligence (20.67%)
  • Social media (16.15%)

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

  • Social media (16.15%)
  • Artificial intelligence (20.67%)
  • Data science (23.04%)

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

His main research concerns Social media, Artificial intelligence, Data science, Deep learning and Advertising. Daniel Zeng has researched Social media in several fields, including Sentiment analysis, Popularity, Cognitive psychology and Empirical research. His Cognitive psychology study combines topics in areas such as Social computing, Sadness, Anger, Disgust and Centrality.

His research integrates issues of Machine learning and Natural language processing in his study of Artificial intelligence. The concepts of his Data science study are interwoven with issues in Identification and Complex network. His studies in Advertising integrate themes in fields like Incentive and Search engine advertising.

Between 2017 and 2021, his most popular works were:

  • Estimating the effective reproduction number of the 2019-nCoV in China (73 citations)
  • Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV (35 citations)
  • The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation (35 citations)

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

  • Artificial intelligence
  • Statistics
  • The Internet

Social media, Data science, Popularity, Advertising and Social media analytics are his primary areas of study. His Social media research incorporates elements of Sentiment analysis and Public health surveillance. His Data science research incorporates themes from Network representation learning, Health informatics and Market research.

His Popularity research focuses on Purchasing and how it relates to User-generated content, Free riding, Word of mouth and Natural experiment. The Advertising study combines topics in areas such as Incentive and Search engine. Daniel Zeng combines subjects such as Social computing, Sadness, Cognitive psychology, Centrality and Disgust with his study of Social media analytics.

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

Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering

Zan Huang;Hsinchun Chen;Daniel Zeng.
ACM Transactions on Information Systems (2004)

877 Citations

Social Computing: From Social Informatics to Social Intelligence

Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao.
IEEE Intelligent Systems (2007)

755 Citations

Social Media Analytics and Intelligence

Daniel Zeng;Hsinchun Chen;R Lusch;Shu-Hsing Li.
IEEE Intelligent Systems (2010)

539 Citations

A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce

Zan Huang;D. Zeng;Hsinchun Chen.
IEEE Intelligent Systems (2007)

304 Citations

COPLINK: managing law enforcement data and knowledge

Hsinchun Chen;Daniel Zeng;Homa Atabakhsh;Wojciech Wyzga.
Communications of The ACM (2003)

259 Citations

Sentiment analysis of Chinese documents: From sentence to document level

Changli Zhang;Daniel Zeng;Jiexun Li;Fei-Yue Wang.
Journal of the Association for Information Science and Technology (2009)

255 Citations

CI Spider: a tool for competitive intelligence on the web

Hsinchun Chen;Michael Chau;Daniel Zeng.
decision support systems (2002)

240 Citations

A comparison of collaborative-filtering algorithms for ecommerce

Zan Huang;Daniel Zeng;Hsinchun Chen.
IEEE Intelligent Systems (2007)

209 Citations

Analyzing Consumer-Product Graphs: Empirical Findings and Applications in Recommender Systems

Zan Huang;Daniel D. Zeng;Hsinchun Chen.
Management Science (2007)

179 Citations

Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

Ammar Hassan;Ahmed Abbasi;Daniel Zeng.
international conference on social computing (2013)

165 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 Daniel Zeng

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