World's Best Scientists 2026 revealed!
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Computer Science
Singapore
2025

D-Index & Metrics

Computer Science

D-Index
93
Citations
29811
World Ranking
530
National Ranking
11

Research.com Recognitions

  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2023 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2011 - ACM Fellow For contributions to spatio-temporal and distributed data management.

Overview

Beng Chin Ooi is affiliated with the National University of Singapore. Their research work spans multiple areas within Computer Science, with a focus on Artificial Intelligence, Information Systems, Computer Networks and Communications, Biomedical Engineering, and Surgery.

The scientist has contributed extensively to topics including Medical Imaging and Analysis, Privacy-Preserving Technologies in Data, Blockchain Technology Applications and Security, Cryptography and Data Security, Spine and Intervertebral Disc Pathology, Cloud Computing and Resource Management, and Distributed Systems and Fault Tolerance.

Recent publications by Beng Chin Ooi include the following:

  • Deep Learning Model for Automated Detection and Classification of Central Canal, Lateral Recess, and Neural Foraminal Stenosis at Lumbar Spine MRI (2021, Radiology)
  • BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • The Disruptions of 5G on Data-Driven Technologies and Applications (2020, IEEE Transactions on Knowledge and Data Engineering)
  • The Seattle Report on Database Research (2020, ACM SIGMOD Record)
  • Interoperability in Blockchain: A Survey (2023, IEEE Transactions on Knowledge and Data Engineering)

Frequent coauthors in Beng Chin Ooi's collaborative research include:

  • Meihui Zhang
  • Xiaokui Xiao
  • James Thomas Patrick Decourcy Hallinan
  • Shaofeng Cai
  • Andrew Makmur

Publication venues where Beng Chin Ooi has appeared regularly comprise:

  • arXiv (Cornell University)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Management of Data
  • IEEE Transactions on Knowledge and Data Engineering
  • Cancers

Beng Chin Ooi's scholarly contributions have been recognized by the ACM Fellow award received in 2011 for work on spatio-temporal and distributed data management.

Best Publications

  • Untangling Blockchain: A Data Processing View of Blockchain Systems

    Tien Tuan Anh Dinh;Rui Liu;Meihui Zhang;Gang Chen

  • Efficient Progressive Skyline Computation

    Kian-Lee Tan;Pin-Kwang Eng;Beng Chin Ooi

  • BLOCKBENCH: A Framework for Analyzing Private Blockchains

    Tien Tuan Anh Dinh;Ji Wang;Gang Chen;Rui Liu

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

    H. V. Jagadish;Beng Chin Ooi;Kian-Lee Tan;Cui Yu

  • The performance of MapReduce: an in-depth study

    Dawei Jiang;Beng Chin Ooi;Lei Shi;Sai Wu

  • 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

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

    H. V. Jagadish;Beng Chin Ooi;Quang Hieu Vu

  • Towards Scaling Blockchain Systems via Sharding

    Hung Dang;Tien Tuan Anh Dinh;Dumitrel Loghin;Ee-Chien Chang

  • In-Memory Big Data Management and Processing: A Survey

    Hao Zhang;Gang Chen;Beng Chin Ooi;Kian-Lee Tan

  • PeerDB: a P2P-based system for distributed data sharing

    W.S. Ng;B.C. Ooi;K.-L. Tan;Aoying Zhou

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

    Christian S. Jensen;Dan Lin;Beng Chin Ooi

  • Indexing the Distance: An Efficient Method to KNN Processing

    Cui Yu;Beng Chin Ooi;Kian-Lee Tan;H. V. Jagadish

  • Collective spatial keyword querying

    Xin Cao;Gao Cong;Christian S. Jensen;Beng Chin Ooi

  • XR-tree: indexing XML data for efficient structural joins

    Haifeng Jiang;Hongjun Lu;Wei Wang;B.C. Ooi

  • CDAS: a crowdsourcing data analytics system

    Xuan Liu;Meiyu Lu;Beng Chin Ooi;Yanyan Shen

  • Efficient processing of k nearest neighbor joins using MapReduce

    Wei Lu;Yanyan Shen;Su Chen;Beng Chin Ooi

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • Privacy preserving vertical federated learning for tree-based models

    Yuncheng Wu;Shaofeng Cai;Xiaokui Xiao;Gang Chen

  • Indexing multi-dimensional data in a cloud system

    Jinbao Wang;Sai Wu;Hong Gao;Jianzhong Li

  • Skyline Queries Against Mobile Lightweight Devices in MANETs

    Zhiyong Huang;C.S. Jensen;Hua Lu;Beng Chin Ooi

  • KLEE: A Framework for Distributed Top-k Query Algorithms

    Sebastian Michel;Peter Triantafillou;Gerhard Weikum;Klemens Böhm

Frequent Co-Authors

Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Anthony K. H. Tung
Anthony K. H. Tung National University of Singapore
Hosagrahar V. Jagadish
Hosagrahar V. Jagadish University of Michigan–Ann Arbor
Christian S. Jensen
Christian S. Jensen Aalborg University
Aoying Zhou
Aoying Zhou East China Normal University
Laura M. Haas
Laura M. Haas University of Massachusetts Amherst
Divyakant Agrawal
Divyakant Agrawal University of California, Santa Barbara
Dan Lin
Dan Lin University of Missouri
Rui Zhang
Rui Zhang National University of Singapore
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China

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