H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 58 Citations 14,626 144 World Ranking 1825 National Ranking 172

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Database
  • Algorithm

Her primary areas of study are Data mining, Data publishing, Nearest neighbor search, Theoretical computer science and Artificial intelligence. Her Data mining study combines topics from a wide range of disciplines, such as Metric, Cluster analysis and k-anonymity. Her biological study spans a wide range of topics, including Online transaction processing, Information sensitivity, Distributed transaction and Anonymity.

Her Nearest neighbor search study incorporates themes from Point, Nearest-neighbor chain algorithm, Search engine indexing and Pruning. In her research on the topic of Theoretical computer science, FSA-Red Algorithm and Apriori algorithm is strongly related with Scalability. Hierarchical clustering, CURE data clustering algorithm and Correlation clustering is closely connected to Pattern recognition in her research, which is encompassed under the umbrella topic of Artificial intelligence.

Her most cited work include:

  • Efficient time series matching by wavelets (894 citations)
  • (α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing (531 citations)
  • HOT SAX: efficiently finding the most unusual time series subsequence (526 citations)

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

Data mining, Theoretical computer science, Artificial intelligence, Data publishing and Distributed computing are her primary areas of study. She has included themes like Cluster analysis and k-anonymity in her Data mining study. Her Theoretical computer science study combines topics in areas such as Scalability, Computation, Maximal independent set and Graph.

Her Artificial intelligence research includes elements of Machine learning and Pattern recognition. Her Data publishing research incorporates themes from Adversary, Information sensitivity, Information privacy and Anonymity. Her Anomaly detection research includes themes of Algorithm and Outlier.

She most often published in these fields:

  • Data mining (35.33%)
  • Theoretical computer science (21.56%)
  • Artificial intelligence (11.98%)

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

  • Theoretical computer science (21.56%)
  • Graph (8.98%)
  • Distributed computing (9.58%)

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

Ada Wai-Chee Fu focuses on Theoretical computer science, Graph, Distributed computing, Computation and Data mining. Ada Wai-Chee Fu interconnects Scalability, Key and Maximal independent set in the investigation of issues within Theoretical computer science. Ada Wai-Chee Fu has researched Graph in several fields, including Algorithm, Shortest path problem and Search engine indexing.

Her research in the fields of Distributed algorithm overlaps with other disciplines such as Road networks. The concepts of her Computation study are interwoven with issues in Redundancy, Artificial intelligence, Machine learning and Enumeration. Her research in Data mining is mostly focused on Differential privacy.

Between 2012 and 2021, her most popular works were:

  • Collective spatial keyword queries: a distance owner-driven approach (89 citations)
  • TF-Label: a topological-folding labeling scheme for reachability querying in a large graph (60 citations)
  • IS-Label: an independent-set based labeling scheme for point-to-point distance querying (49 citations)

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

  • Artificial intelligence
  • Database
  • Algorithm

Her primary areas of investigation include Theoretical computer science, Graph, Computation, Approximation algorithm and Vertex. Her Theoretical computer science research is multidisciplinary, relying on both Scalability, Pathwidth, Graph product, Maximal independent set and Topology. Her Scalability research incorporates elements of Implicit graph, Graph and Exact algorithm.

Her studies deal with areas such as Redundancy, Search engine indexing, Artificial intelligence and Enumeration as well as Computation. The study incorporates disciplines such as Keyword search, Keyword density, RDF and Data mining in addition to Approximation algorithm. Her work carried out in the field of Vertex brings together such families of science as Similarity, Key, Modular decomposition and Indifference graph.

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.

Top Publications

Efficient time series matching by wavelets

Kin-Pong Chan;Ada Wai-Chee Fu.
international conference on data engineering (1999)

1644 Citations

HOT SAX: efficiently finding the most unusual time series subsequence

E. Keogh;J. Lin;A. Fu.
international conference on data mining (2005)

795 Citations

Entropy-based subspace clustering for mining numerical data

Chun-Hung Cheng;Ada Waichee Fu;Yi Zhang.
knowledge discovery and data mining (1999)

769 Citations

A fast distributed algorithm for mining association rules

D.W. Cheung;Jiawei Han;V.T. Ng;A.W. Fu.
international conference on parallel and distributed information systems (1996)

715 Citations

Mining association rules with weighted items

C.H. Cai;A.W.C. Fu;C.H. Cheng;W.W. Kwong.
international database engineering and applications symposium (1998)

695 Citations

Efficient mining of association rules in distributed databases

D.W. Cheung;V.T. Ng;A.W. Fu;Yongjian Fu.
IEEE Transactions on Knowledge and Data Engineering (1996)

566 Citations

(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing

Raymond Chi-Wing Wong;Jiuyong Li;Ada Wai-Chee Fu;Ke Wang.
knowledge discovery and data mining (2006)

531 Citations

Enhancing Effectiveness of Outlier Detections for Low Density Patterns

Jian Tang;Zhixiang Chen;Ada Wai-Chee Fu;David Wai-Lok Cheung.
knowledge discovery and data mining (2002)

505 Citations

Utility-based anonymization using local recoding

Jian Xu;Wei Wang;Jian Pei;Xiaoyuan Wang.
knowledge discovery and data mining (2006)

505 Citations

K-isomorphism: privacy preserving network publication against structural attacks

James Cheng;Ada Wai-chee Fu;Jia Liu.
international conference on management of data (2010)

398 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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