H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 69 Citations 21,865 382 World Ranking 913 National Ranking 3

Research.com Recognitions

Awards & Achievements

2006 - ACM Fellow For contributions to query processing and data mining.

2004 - IEEE Fellow For contributions to algorithms for query processing and data management in parallel and distributed systems.

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Artificial intelligence
  • Computer network

Ming-Syan Chen spends much of his time researching Data mining, Association rule learning, Artificial intelligence, Computer network and Real-time computing. His Data mining research is multidisciplinary, incorporating perspectives in Path, Hash function, Database and Search algorithm. His Database study combines topics in areas such as Query expansion and The Internet.

His studies in Association rule learning integrate themes in fields like Database transaction, Transaction processing, Temporal database and Database theory. His Artificial intelligence research integrates issues from Machine learning, Computer vision and Pattern recognition. His Computer network research is multidisciplinary, incorporating elements of Wireless and Communication channel.

His most cited work include:

  • Data mining: an overview from a database perspective (1894 citations)
  • An effective hash-based algorithm for mining association rules (1398 citations)
  • Efficient data mining for path traversal patterns (505 citations)

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

His main research concerns Data mining, Artificial intelligence, Distributed computing, Computer network and Mobile computing. His work deals with themes such as Database transaction, Database and Cluster analysis, which intersect with Data mining. Ming-Syan Chen studied Artificial intelligence and Machine learning that intersect with Social network.

His work carried out in the field of Distributed computing brings together such families of science as Node, Scalability and Server. His Computer network research incorporates elements of Wireless and Communication channel. His study in Mobile computing is interdisciplinary in nature, drawing from both Mobile search and Mobile database.

He most often published in these fields:

  • Data mining (29.67%)
  • Artificial intelligence (21.34%)
  • Distributed computing (15.65%)

What were the highlights of his more recent work (between 2012-2021)?

  • Artificial intelligence (21.34%)
  • Social network (7.93%)
  • Machine learning (10.57%)

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

Artificial intelligence, Social network, Machine learning, Data mining and Maximization are his primary areas of study. His Artificial intelligence research is multidisciplinary, relying on both Group and Pattern recognition. His work in Social network addresses subjects such as Internet privacy, which are connected to disciplines such as Anonymity.

Ming-Syan Chen is studying Big data, which is a component of Data mining. His Maximization study incorporates themes from Greedy algorithm and Viral marketing. His Cluster analysis research includes elements of Spatial multiplexing, Visualization, Distributed computing and 3G MIMO.

Between 2012 and 2021, his most popular works were:

  • Video Event Detection by Inferring Temporal Instance Labels (100 citations)
  • Predicting Winning Price in Real Time Bidding with Censored Data (54 citations)
  • Sample-Specific Late Fusion for Visual Category Recognition (53 citations)

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

  • Operating system
  • Artificial intelligence
  • The Internet

Ming-Syan Chen mainly investigates Artificial intelligence, Data mining, Machine learning, Social network and Cloud computing. The various areas that Ming-Syan Chen examines in his Artificial intelligence study include Ranking, Function and Pattern recognition. His Data mining research overlaps with Computational biology, Nucleotide Motif, Amino Acid Motifs, Systems biology and Computational genomics.

His study in the fields of Pruning under the domain of Machine learning overlaps with other disciplines such as Variable. His studies deal with areas such as Distributed computing and Big data as well as Cloud computing. His biological study spans a wide range of topics, including Node, Pipeline, Broadcasting and Upload.

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

Data mining: an overview from a database perspective

Ming-Syan Chen;Jiawei Han;P.S. Yu.
IEEE Transactions on Knowledge and Data Engineering (1996)

3543 Citations

An effective hash-based algorithm for mining association rules

Jong Soo Park;Ming-Syan Chen;Philip S. Yu.
international conference on management of data (1995)

2491 Citations

Efficient data mining for path traversal patterns

Ming-Syan Chen;Jong Soo Park;P.S. Yu.
IEEE Transactions on Knowledge and Data Engineering (1998)

905 Citations

Using a hash-based method with transaction trimming for mining association rules

Jong Soo Park;Ming-Syan Chen;P.S. Yu.
IEEE Transactions on Knowledge and Data Engineering (1997)

653 Citations

Data mining for path traversal patterns in a web environment

Ming-Syan Chen;Jong Soo Park;P.S. Yu.
international conference on distributed computing systems (1996)

623 Citations

Efficient parallel data mining for association rules

Jong Soo Park;Ming-Syan Chen;Philip S. Yu.
conference on information and knowledge management (1995)

413 Citations

A media-access protocol for packet-switched wavelength division multiaccess metropolitan area networks

M.-S. Chen;N.R. Dono;R. Ramaswami.
IEEE Journal on Selected Areas in Communications (1990)

384 Citations

Processor Allocation in an N-Cube Multiprocessor Using Gray Codes

Ming-Syan Chen;Kang G. Shin.
IEEE Transactions on Computers (1987)

333 Citations

Progressive content-based retrieval of image and video with adaptive and iterative refinement

Chung-Sheng Li;John Joseph Edward Turek;Vittorio Castelli;Ming-Syan Chen.
(1995)

304 Citations

Dynamic, finite versioning for concurrent transaction and query processing

Minnshian Chien;Kunnrun Uu;Fuiritsupu Shiirun Yuu.
(1991)

266 Citations

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Best Scientists Citing Ming-Syan Chen

Tzung-Pei Hong

Tzung-Pei Hong

National University of Kaohsiung

Publications: 190

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

Publications: 95

Jerry Chun-Wei Lin

Jerry Chun-Wei Lin

Western Norway University of Applied Sciences

Publications: 83

Philippe Fournier-Viger

Philippe Fournier-Viger

Harbin Institute of Technology

Publications: 53

Vincent S. Tseng

Vincent S. Tseng

National Yang Ming Chiao Tung University

Publications: 44

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 41

Jerry Chun-Wei Lin

Jerry Chun-Wei Lin

Western Norway University of Applied Sciences

Publications: 36

Wang-Chien Lee

Wang-Chien Lee

Pennsylvania State University

Publications: 33

Wen-Chih Peng

Wen-Chih Peng

National Yang Ming Chiao Tung University

Publications: 30

Hong Shen

Hong Shen

Sun Yat-sen University

Publications: 29

Kang G. Shin

Kang G. Shin

University of Michigan–Ann Arbor

Publications: 28

David W. Cheung

David W. Cheung

University of Hong Kong

Publications: 28

Mohammed J. Zaki

Mohammed J. Zaki

Rensselaer Polytechnic Institute

Publications: 26

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 25

Yen-Liang Chen

Yen-Liang Chen

National Central University

Publications: 25

Jie Wu

Jie Wu

Temple University

Publications: 24

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