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Computer Science

D-Index
53
Citations
12591
World Ranking
4781
National Ranking
639

Overview

Daniel Zeng is a researcher affiliated with the Chinese Academy of Sciences in China, with a focus on computer science. Their work spans various subfields including artificial intelligence, modeling and simulation, statistical and nonlinear physics, economics and econometrics, and computer vision and pattern recognition.

Their research covers a range of topics, notably:

  • Topic Modeling
  • COVID-19 epidemiological studies
  • Advanced Graph Neural Networks
  • Complex Network Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Text Analysis Techniques
  • COVID-19 Pandemic Impacts

Zeng's publication record includes contributions to various well-known venues such as arXiv (Cornell University), IEEE Intelligent Systems, bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Computational Social Systems, and the INFORMS Journal on Computing.

Among recent papers, the following works are notable:

  • Estimating the effective reproduction number of the 2019-nCoV in China, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Equitable access to COVID-19 vaccines makes a life-saving difference to all countries, 2022, Nature Human Behaviour
  • Fusion of heterogeneous attention mechanisms in multi-view convolutional neural network for text classification, 2020, Information Sciences
  • A hybrid machine learning framework for analyzing human decision-making through learning preferences, 2020, Omega
  • Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission, 2020, Physical Review E

Frequent coauthors working with Zeng include Qingpeng Zhang, Zhidong Cao, Linjing Li, Xiaolong Zheng, and Qiudan Li.

Best Publications

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

    Zan Huang;Hsinchun Chen;Daniel Zeng

  • Social Computing: From Social Informatics to Social Intelligence

    Fei-Yue Wang;Daniel Zeng;K.M. Carley;W. Mao

  • Social Media Analytics and Intelligence

    Daniel Zeng;Hsinchun Chen;R Lusch;Shu-Hsing Li

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

    Zan Huang;D. Zeng;Hsinchun Chen

  • COPLINK: managing law enforcement data and knowledge

    Hsinchun Chen;Daniel Zeng;Homa Atabakhsh;Wojciech Wyzga

  • Sentiment analysis of Chinese documents: From sentence to document level

    Changli Zhang;Daniel Zeng;Jiexun Li;Fei-Yue Wang

  • A comparison of collaborative-filtering algorithms for ecommerce

    Zan Huang;Daniel Zeng;Hsinchun Chen

  • Sentiment analysis of Chinese documents: From sentence to document level

    Unknown

  • CI Spider: a tool for competitive intelligence on the web

    Hsinchun Chen;Michael Chau;Daniel Zeng

  • The State-of-the-Art in Twitter Sentiment Analysis: A Review and Benchmark Evaluation

    David Zimbra;Ahmed Abbasi;Daniel Zeng;Hsinchun Chen

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

    Zan Huang;Daniel D. Zeng;Hsinchun Chen

  • Twitter Sentiment Analysis: A Bootstrap Ensemble Framework

    Ammar Hassan;Ahmed Abbasi;Daniel Zeng

  • Smart Cars on Smart Roads: An IEEE Intelligent Transportation Systems Society Update

    Fei-Yue Wang;Daniel Zeng;Liuqing Yang

  • Design and evaluation of a multi-agent collaborative Web mining system

    Michael Chau;Daniel Zeng;Hsinchun Chen;Michael Huang

  • A Study of the Human Flesh Search Engine: Crowd-Powered Expansion of Online Knowledge

    Fei-Yue Wang;Daniel Zeng;James A Hendler;Qingpeng Zhang

  • A survey on big data-driven digital phenotyping of mental health

    Yunji Liang;Xiaolong Zheng;Daniel Dajun Zeng;Daniel Dajun Zeng

  • Intelligence and security informatics for homeland security: information, communication, and transportation

    H. Chen;Fei-Yue Wang;D. Zeng

  • MetaSpider: Meta-Searching and Categorization on the Web

    Hsinchun Chen;Haiyan Fan;Michael Chau;Daniel Dajun Zeng

  • Social balance in signed networks

    Xiaolong Zheng;Daniel Zeng;Fei-Yue Wang

  • Personalized spiders for web search and analysis

    Michael Chau;Daniel Zeng;Hinchun Chen

  • Analyzing open-source software systems as complex networks

    Xiaolong Zheng;Daniel Zeng;Daniel Zeng;Huiqian Li;Feiyue Wang;Feiyue Wang

  • Multimodal Data Enhanced Representation Learning for Knowledge Graphs

    Zikang Wang;Linjing Li;Qiudan Li;Daniel Zeng

Frequent Co-Authors

Hsinchun Chen
Hsinchun Chen University of Arizona
Fei-Yue Wang
Fei-Yue Wang Chinese Academy of Sciences
Michael Chau
Michael Chau University of Hong Kong
Huimin Zhao
Huimin Zhao University of Illinois at Urbana-Champaign
Ahmed Abbasi
Ahmed Abbasi University of Notre Dame
Mark C. Thurmond
Mark C. Thurmond University of California, Davis
Christopher C. Yang
Christopher C. Yang Drexel University
Sudha Ram
Sudha Ram University of Arizona
Paul Jen-Hwa Hu
Paul Jen-Hwa Hu University of Utah
Kathleen M. Carley
Kathleen M. Carley Carnegie Mellon University

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