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 109 Citations 51,974 412 World Ranking 97 National Ranking 11

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to multimedia information retrieval

2010 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • World Wide Web

His primary scientific interests are in Information retrieval, Artificial intelligence, Data mining, Cluster analysis and Image retrieval. As part of his studies on Information retrieval, Wei-Ying Ma often connects relevant subjects like Web page. His work deals with themes such as Natural language processing, Computer vision, Function, Machine learning and Pattern recognition, which intersect with Artificial intelligence.

His Data mining study incorporates themes from Consistency, Scalability and Graph. His work carried out in the field of Cluster analysis brings together such families of science as Search engine indexing and Feature vector. Wei-Ying Ma combines subjects such as Image processing and Feature extraction with his study of Image retrieval.

His most cited work include:

  • Texture features for browsing and retrieval of image data (3401 citations)
  • Mining interesting locations and travel sequences from GPS trajectories (1426 citations)
  • A survey of content-based image retrieval with high-level semantics (1366 citations)

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

The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Data mining, World Wide Web and Web page. His research ties Cluster analysis and Information retrieval together. His work in Artificial intelligence addresses issues such as Pattern recognition, which are connected to fields such as Feature.

His Data mining study combines topics in areas such as Graph, Link analysis and Feature vector. His Web search query study combines topics from a wide range of disciplines, such as Query expansion and Semantic search. His Image retrieval study typically links adjacent topics like Image texture.

He most often published in these fields:

  • Information retrieval (39.54%)
  • Artificial intelligence (32.85%)
  • Data mining (22.80%)

What were the highlights of his more recent work (between 2009-2020)?

  • Artificial intelligence (32.85%)
  • Information retrieval (39.54%)
  • World Wide Web (18.20%)

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

His primary areas of investigation include Artificial intelligence, Information retrieval, World Wide Web, Machine learning and Natural language processing. The various areas that he examines in his Artificial intelligence study include Computer vision and Pattern recognition. His study on Semantic search, Search analytics, Web search query and Web query classification is often connected to Source system as part of broader study in Information retrieval.

His World Wide Web research integrates issues from Key and Global Positioning System. His studies in Machine learning integrate themes in fields like Probabilistic logic and Web page. As part of the same scientific family, Wei-Ying Ma usually focuses on Image retrieval, concentrating on Feature extraction and intersecting with Visualization and Annotation.

Between 2009 and 2020, his most popular works were:

  • GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory. (753 citations)
  • Collaborative Knowledge Base Embedding for Recommender Systems (553 citations)
  • Recommending friends and locations based on individual location history (399 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Wei-Ying Ma focuses on Artificial intelligence, Context, Conversation, Natural language processing and Speech recognition. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Tree structure, Machine learning, Segment tree and Pattern recognition. His biological study spans a wide range of topics, including Topic model, Scale, Computer cluster, Theoretical computer science and Vocabulary.

His study in the field of Sentence also crosses realms of Mechanism. He works mostly in the field of Annotation, limiting it down to topics relating to Image retrieval and, in certain cases, Information retrieval. His research integrates issues of Object, Feature extraction, Point and Automatic image annotation in his study of Information retrieval.

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

Texture features for browsing and retrieval of image data

B.S. Manjunath;W.Y. Ma.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1996)

5150 Citations

A survey of content-based image retrieval with high-level semantics

Ying Liu;Dengsheng Zhang;Guojun Lu;Wei-Ying Ma.
Pattern Recognition (2007)

2013 Citations

Mining interesting locations and travel sequences from GPS trajectories

Yu Zheng;Lizhu Zhang;Xing Xie;Wei-Ying Ma.
the web conference (2009)

1932 Citations

NeTra: a toolbox for navigating large image databases

W.Y. Ma;B.S. Manjunath.
international conference on image processing (1997)

1405 Citations

Understanding mobility based on GPS data

Yu Zheng;Quannan Li;Yukun Chen;Xing Xie.
ubiquitous computing (2008)

1008 Citations

GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.

Yu Zheng;Xing Xie;Wei-Ying Ma.
IEEE Data(base) Engineering Bulletin (2010)

960 Citations

VIPS: a Vision-based Page Segmentation Algorithm

Deng Cai;Shipeng Yu;Ji-Rong Wen;Wei-Ying Ma.
(2003)

876 Citations

Learning to cluster web search results

Hua-Jun Zeng;Qi-Cai He;Zheng Chen;Wei-Ying Ma.
international acm sigir conference on research and development in information retrieval (2004)

856 Citations

Mining user similarity based on location history

Quannan Li;Yu Zheng;Xing Xie;Yukun Chen.
advances in geographic information systems (2008)

687 Citations

Probabilistic query expansion using query logs

Hang Cui;Ji-Rong Wen;Jian-Yun Nie;Wei-Ying Ma.
the web conference (2002)

576 Citations

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Singapore Management University

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