H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 84 Citations 24,229 334 World Ranking 357 National Ranking 7

Research.com Recognitions

Awards & Achievements

2011 - ACM Fellow For contributions to spatio-temporal and distributed data management.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Database
  • Operating system

Beng Chin Ooi mainly focuses on Data mining, Distributed computing, Search engine indexing, Scalability and Artificial intelligence. The concepts of his Data mining study are interwoven with issues in Set, k-nearest neighbors algorithm, Hash join, B-tree and Ranking. His Distributed computing research includes elements of Computer network, Server and Data management.

His Search engine indexing study deals with the bigger picture of Information retrieval. His research integrates issues of Volume, Cloud computing, Online analytical processing and Cache in his study of Scalability. The study incorporates disciplines such as Machine learning, Longest common subsequence problem and Pattern recognition in addition to Artificial intelligence.

His most cited work include:

  • Efficient Progressive Skyline Computation (680 citations)
  • iDistance: An adaptive B+-tree based indexing method for nearest neighbor search (500 citations)
  • Untangling Blockchain: A Data Processing View of Blockchain Systems (394 citations)

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

Data mining, Distributed computing, Database, Search engine indexing and Information retrieval are his primary areas of study. The Data mining study combines topics in areas such as Set and Artificial intelligence, k-nearest neighbors algorithm. His Distributed computing study combines topics from a wide range of disciplines, such as Scalability, Server and Concurrency control.

Beng Chin Ooi interconnects Cloud computing and Data management in the investigation of issues within Scalability. His studies examine the connections between Search engine indexing and genetics, as well as such issues in Theoretical computer science, with regards to Tree. His Information retrieval study combines topics in areas such as World Wide Web and Image retrieval.

He most often published in these fields:

  • Data mining (25.71%)
  • Distributed computing (19.02%)
  • Database (17.22%)

What were the highlights of his more recent work (between 2017-2021)?

  • Distributed computing (19.02%)
  • Artificial intelligence (12.60%)
  • Blockchain (3.60%)

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

Beng Chin Ooi mainly investigates Distributed computing, Artificial intelligence, Blockchain, Scalability and Cryptocurrency. His study in Distributed computing focuses on Load balancing in particular. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Analytics and Pattern recognition.

His studies deal with areas such as Computer data storage and Database as well as Blockchain. His Index study integrates concerns from other disciplines, such as Radix tree and Search engine indexing. His biological study spans a wide range of topics, including Tree, Protocol and Data mining.

Between 2017 and 2021, his most popular works were:

  • Untangling Blockchain: A Data Processing View of Blockchain Systems (394 citations)
  • Towards Scaling Blockchain Systems via Sharding (73 citations)
  • Forkbase: an efficient storage engine for blockchain and forkable applications (36 citations)

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

  • Artificial intelligence
  • Operating system
  • Database

His primary areas of study are Distributed computing, Blockchain, Analytics, Artificial intelligence and Cryptocurrency. His Analytics study incorporates themes from Software versioning, Inference and Computer data storage. Artificial intelligence is closely attributed to Machine learning in his study.

His studies in Machine learning integrate themes in fields like Usability and Big data. In his research on the topic of Cryptocurrency, Cloud computing, Liveness and Shard is strongly related with Database transaction. Beng Chin Ooi combines subjects such as Ensemble forecasting, Set and Data mining with his study of Random forest.

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 Progressive Skyline Computation

Kian-Lee Tan;Pin-Kwang Eng;Beng Chin Ooi.
very large data bases (2001)

967 Citations

iDistance: An adaptive B + -tree based indexing method for nearest neighbor search

H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu.
ACM Transactions on Database Systems (2005)

687 Citations

The performance of MapReduce: an in-depth study

Dawei Jiang;Beng Chin Ooi;Lei Shi;Sai Wu.
very large data bases (2010)

567 Citations

BATON: a balanced tree structure for peer-to-peer networks

H. V. Jagadish;Beng Chin Ooi;Quang Hieu Vu.
very large data bases (2005)

540 Citations

EASE: an effective 3-in-1 keyword search method for unstructured, semi-structured and structured data

Guoliang Li;Beng Chin Ooi;Jianhua Feng;Jianyong Wang.
international conference on management of data (2008)

528 Citations

PeerDB: a P2P-based system for distributed data sharing

W.S. Ng;B.C. Ooi;K.-L. Tan;Aoying Zhou.
international conference on data engineering (2003)

487 Citations

Query and update efficient B + -tree based indexing of moving objects

Christian S. Jensen;Dan Lin;Beng Chin Ooi.
very large data bases (2004)

469 Citations

Indexing the Distance: An Efficient Method to KNN Processing

Cui Yu;Beng Chin Ooi;Kian-Lee Tan;H. V. Jagadish.
very large data bases (2001)

423 Citations

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Tien Tuan Anh Dinh;Ji Wang;Gang Chen;Rui Liu.
international conference on management of data (2017)

394 Citations

XR-tree: indexing XML data for efficient structural joins

Haifeng Jiang;Hongjun Lu;Wei Wang;B.C. Ooi.
international conference on data engineering (2003)

392 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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Top Scientists Citing Beng Chin Ooi

Xiaofang Zhou

Xiaofang Zhou

Hong Kong University of Science and Technology

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Lei Chen

Lei Chen

Hong Kong University of Science and Technology

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Christian S. Jensen

Christian S. Jensen

Aalborg University

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Xuemin Lin

Xuemin Lin

UNSW Sydney

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Jianhua Feng

Jianhua Feng

Tsinghua University

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Heng Tao Shen

Heng Tao Shen

University of Electronic Science and Technology of China

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Mohamed F. Mokbel

Mohamed F. Mokbel

University of Minnesota

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Aoying Zhou

Aoying Zhou

East China Normal University

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Kian-Lee Tan

Kian-Lee Tan

National University of Singapore

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Jeffrey Xu Yu

Jeffrey Xu Yu

Chinese University of Hong Kong

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Jianliang Xu

Jianliang Xu

Hong Kong Baptist University

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Rui Zhang

Rui Zhang

National University of Singapore

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Anthony K. H. Tung

Anthony K. H. Tung

National University of Singapore

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Bin Cui

Bin Cui

Peking University

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Jianzhong Li

Jianzhong Li

Harbin Institute of Technology

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