D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 31 Citations 5,632 258 World Ranking 9662 National Ranking 132

Research.com Recognitions

Awards & Achievements

2009 - ACM Senior Member

2009 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Programming language
  • Database
  • Artificial intelligence

His primary areas of investigation include XML, Data mining, XML database, XML validation and Efficient XML Interchange. His study in XML is interdisciplinary in nature, drawing from both Query language, Information retrieval and Theoretical computer science. As part of the same scientific family, Tok Wang Ling usually focuses on Data mining, concentrating on Precision and recall and intersecting with Similarity.

His research ties Scheme and XML database together. His research combines XML schema and XML validation. Tok Wang Ling combines subjects such as XML framework, Document Structure Description and XML Schema Editor with his study of Efficient XML Interchange.

His most cited work include:

  • From region encoding to extended dewey: on efficient processing of XML twig pattern matching (266 citations)
  • On boosting holism in XML twig pattern matching using structural indexing techniques (175 citations)
  • Effective XML Keyword Search with Relevance Oriented Ranking (168 citations)

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

Tok Wang Ling mainly investigates Information retrieval, XML, Data mining, XML database and XML validation. The XQuery research Tok Wang Ling does as part of his general XML study is frequently linked to other disciplines of science, such as Twig, therefore creating a link between diverse domains of science. The concepts of his Data mining study are interwoven with issues in Process, Scalability and XML tree.

His biological study spans a wide range of topics, including Simple API for XML, Programming language and Database. His research in XML validation intersects with topics in Streaming XML, Efficient XML Interchange and Document Structure Description, XML schema. Tok Wang Ling interconnects Data exchange, XML framework and XML Schema Editor in the investigation of issues within Efficient XML Interchange.

He most often published in these fields:

  • Information retrieval (41.38%)
  • XML (36.55%)
  • Data mining (26.55%)

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

  • Information retrieval (41.38%)
  • XML (36.55%)
  • XML database (24.14%)

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

His primary scientific interests are in Information retrieval, XML, XML database, Document Structure Description and XML validation. His Information retrieval research integrates issues from Object, Semantics and XML Schema Editor. He specializes in XML, namely XQuery.

The XML database study combines topics in areas such as Query language, Data model, Database, Relational model and Streaming XML. His research in Document Structure Description is mostly concerned with XML schema. In XML validation, Tok Wang Ling works on issues like Efficient XML Interchange, which are connected to XML framework.

Between 2012 and 2021, his most popular works were:

  • A Semantic Approach to Keyword Search over Relational Databases (16 citations)
  • Discovering Semantics from Data-Centric XML (15 citations)
  • From Structure-Based to Semantics-Based: Towards Effective XML Keyword Search (13 citations)

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

  • Programming language
  • Artificial intelligence
  • Database

His scientific interests lie mostly in Information retrieval, XML, XML database, Document Structure Description and XML validation. His research in Information retrieval focuses on subjects like World Wide Web, which are connected to Query optimization, Data model and Query language. His research investigates the connection between XML and topics such as Semantics that intersect with problems in Data mining, Matching and Semi-structured data.

His study in the field of XQuery also crosses realms of Twig and Boolean expression. His study focuses on the intersection of Document Structure Description and fields such as Streaming XML with connections in the field of Object. Tok Wang Ling has researched XML schema in several fields, including Efficient XML Interchange and XML Schema Editor.

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

From region encoding to extended dewey: on efficient processing of XML twig pattern matching

Jiaheng Lu;Tok Wang Ling;Chee-Yong Chan;Ting Chen.
very large data bases (2005)

442 Citations

On boosting holism in XML twig pattern matching using structural indexing techniques

Ting Chen;Jiaheng Lu;Tok Wang Ling.
international conference on management of data (2005)

296 Citations

Effective XML Keyword Search with Relevance Oriented Ranking

Zhifeng Bao;Tok Wang Ling;Bo Chen;Jiaheng Lu.
international conference on data engineering (2009)

258 Citations

Cleansing Data for Mining and Warehousing

Mong-Li Lee;Tok Wang Ling;Hongjun Lu;Yee Teng Ko.
database and expert systems applications (1999)

256 Citations

Conceptual Modeling-ER 2003

Il-Yeol Song;Stephen W. Liddle;Tok-Wang Ling;Peter Scheuermann.
(2003)

250 Citations

Efficient processing of XML twig patterns with parent child edges: a look-ahead approach

Jiaheng Lu;Ting Chen;Tok Wang Ling.
conference on information and knowledge management (2004)

230 Citations

IntelliClean: a knowledge-based intelligent data cleaner

Mong Li Lee;Tok Wang Ling;Wai Lup Low.
knowledge discovery and data mining (2000)

230 Citations

Designing Functional Dependencies for XML

Mong-Li Lee;Tok Wang Ling;Wai Lup Low.
extending database technology (2002)

197 Citations

A knowledge-based approach for duplicate elimination in data cleaning

Wai Lup Low;Mong Li Lee;Tok Wang Ling.
Information Systems (2001)

158 Citations

Conceptual Modeling – ER 2004

Paolo Atzeni;Wesley Chu;Hongjun Lu;Shuigeng Zhou.
(2004)

140 Citations

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