D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 97 Citations 42,021 575 World Ranking 169 National Ranking 101

Research.com Recognitions

Awards & Achievements

2015 - ACM Fellow For contributions to the research and development of security informatics and health informatics systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • World Wide Web

His primary areas of study are World Wide Web, Information retrieval, Artificial intelligence, The Internet and Data science. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Text mining, Natural language processing and Machine learning. His The Internet research incorporates elements of Self-organizing map, Context, Categorization and Internet privacy.

His Internet privacy study combines topics from a wide range of disciplines, such as Computer security and Social media. His Data science study integrates concerns from other disciplines, such as Field, Business intelligence and Visualization. His Business intelligence study combines topics in areas such as Business analytics, Competitive intelligence, Analytics and Big data.

His most cited work include:

  • Business intelligence and analytics: from big data to big impact (2936 citations)
  • Credit rating analysis with support vector machines and neural networks: a market comparative study (724 citations)
  • Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums (716 citations)

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

The scientist’s investigation covers issues in World Wide Web, The Internet, Data science, Information retrieval and Artificial intelligence. His World Wide Web study frequently draws connections between related disciplines such as Terrorism. In The Internet, Hsinchun Chen works on issues like Internet privacy, which are connected to Computer security.

His Data science research incorporates themes from Visualization and Health informatics. His Information retrieval study is mostly concerned with Information extraction and Thesaurus. His Artificial intelligence study incorporates themes from Machine learning and Natural language processing.

He most often published in these fields:

  • World Wide Web (25.03%)
  • The Internet (17.67%)
  • Data science (17.56%)

What were the highlights of his more recent work (between 2013-2021)?

  • Data science (17.56%)
  • Artificial intelligence (13.64%)
  • Computer security (10.20%)

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

Hsinchun Chen mostly deals with Data science, Artificial intelligence, Computer security, Social media and Hacker. His Data science research is multidisciplinary, incorporating perspectives in Sentiment analysis, Health informatics, Chronic care and Identification. The various areas that he examines in his Artificial intelligence study include Machine learning and Natural language processing.

Hsinchun Chen has researched Computer security in several fields, including Vulnerability assessment, The Internet and Internet privacy. His Social media study deals with the bigger picture of World Wide Web. His Hacker research integrates issues from Cybercrime, Cyber threat intelligence, Internet Relay Chat, Face and Key.

Between 2013 and 2021, his most popular works were:

  • The information content of mandatory risk factor disclosures in corporate filings (215 citations)
  • Uninvited Connections: A Study of Vulnerable Devices on the Internet of Things (IoT) (77 citations)
  • Exploring threats and vulnerabilities in hacker web: Forums, IRC and carding shops (66 citations)

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

  • Artificial intelligence
  • The Internet
  • Machine learning

Hsinchun Chen mainly focuses on Computer security, Internet privacy, Hacker, Social media and Data science. His Computer security research includes elements of Carding and The Internet. His research in The Internet intersects with topics in Vulnerability assessment and Internet security.

His Social media study results in a more complete grasp of World Wide Web. Hsinchun Chen is studying Web 2.0, which is a component of World Wide Web. Hsinchun Chen combines subjects such as Health Administration Informatics, Biomedical text, Realm and Big data with his study of Data science.

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.

Best Publications

Business intelligence and analytics: from big data to big impact

Hsinchun Chen;Roger H. L. Chiang;Veda C. Storey.
Management Information Systems Quarterly (2012)

5364 Citations

Credit rating analysis with support vector machines and neural networks: a market comparative study

Zan Huang;Hsinchun Chen;Chia-Jung Hsu;Wun-Hwa Chen.
decision support systems (2004)

1123 Citations

Sentiment analysis in multiple languages: Feature selection for opinion classification in Web forums

Ahmed Abbasi;Hsinchun Chen;Arab Salem.
ACM Transactions on Information Systems (2008)

1068 Citations

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

A framework for authorship identification of online messages: Writing-style features and classification techniques

Rong Zheng;Jiexun Li;Hsinchun Chen;Zan Huang.
Journal of the Association for Information Science and Technology (2006)

797 Citations

Textual analysis of stock market prediction using breaking financial news: The AZFin text system

Robert P. Schumaker;Hsinchun Chen.
ACM Transactions on Information Systems (2009)

743 Citations

Crime data mining: a general framework and some examples

H. Chen;W. Chung;J.J. Xu;G. Wang.
IEEE Computer (2004)

648 Citations

Social Media Analytics and Intelligence

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

539 Citations

Applying authorship analysis to extremist-group Web forum messages

A. Abbasi;H. Chen.
IEEE Intelligent Systems (2005)

523 Citations

Writeprints: A stylometric approach to identity-level identification and similarity detection in cyberspace

Ahmed Abbasi;Hsinchun Chen.
ACM Transactions on Information Systems (2008)

466 Citations

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Best Scientists Citing Hsinchun Chen

Christopher C. Yang

Christopher C. Yang

Drexel University

Publications: 54

Daniel Zeng

Daniel Zeng

Chinese Academy of Sciences

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University of Hong Kong

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Raymond Y. K. Lau

City University of Hong Kong

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Edward A. Fox

Edward A. Fox

Virginia Tech

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Tao Zhou

Tao Zhou

University of Electronic Science and Technology of China

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Petter Gottschalk

Petter Gottschalk

BI Norwegian Business School

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Fei-Yue Wang

Fei-Yue Wang

Chinese Academy of Sciences

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Reda Alhajj

Reda Alhajj

University of Calgary

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Weiguo Fan

Weiguo Fan

University of Iowa

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Dirk Neumann

Dirk Neumann

University of Freiburg

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Alan L. Porter

Alan L. Porter

Georgia Institute of Technology

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Paul Jen-Hwa Hu

Paul Jen-Hwa Hu

University of Utah

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Erik Cambria

Erik Cambria

Nanyang Technological University

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Enrique Herrera-Viedma

Enrique Herrera-Viedma

University of Granada

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Marijn Janssen

Marijn Janssen

Delft University of Technology

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