World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
6261
World Ranking
11170
National Ranking
151

Overview

Wee Keong Ng is affiliated with Nanyang Technological University in Singapore and has contributed extensively to the field of computer science. Their research spans multiple subfields, primarily focusing on artificial intelligence, information systems, and computer networks and communications.

The scientist's work covers a variety of main topics, including:

  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Cryptography and Data Security
  • Cloud Computing and Resource Management
  • IoT and Edge/Fog Computing
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining

Recent papers authored or co-authored by Wee Keong Ng illustrate a diverse range of subjects and venues, such as:

  • Privacy-Preserving Weighted Federated Learning Within the Secret Sharing Framework, 2020, IEEE Access
  • Development of energy efficient drive for ventilation system using recurrent neural network, 2021, Neural Computing and Applications
  • Social media analytics in nutrition research: a rapid review of current usage in investigation of dietary behaviours, 2020, Public Health Nutrition
  • Context-Aware Sliding Window for Sentiment Classification, 2020, IEEE Access
  • Comprehensive Performance Analysis of Homomorphic Cryptosystems for Practical Data Processing, 2022, arXiv (Cornell University)

Frequent co-authors collaborating with Wee Keong Ng include:

  • Sachin Shetty
  • Xueping Liang
  • Eranga Bandara
  • Kasun De Zoysa
  • Peter Foytik

The scientist's publications have appeared predominantly in the following venues:

  • arXiv (Cornell University)
  • IEEE Access
  • SSRN Electronic Journal
  • Neural Computing and Applications
  • Public Health Nutrition

Wee Keong Ng's contributions are centered within the computer science domain, where they have produced most of their work. Key subfields include artificial intelligence, information systems, computer networks and communications, control and systems engineering, and general health professions.

Best Publications

  • Research Issues in Web Data Mining

    Sanjay Kumar Madria;Sourav S. Bhowmick;Wee Keong Ng;Ee-Peng Lim

  • A survey of Web metrics

    Devanshu Dhyani;Wee Keong Ng;Sourav S. Bhowmick

  • A survey on data stream clustering and classification

    Hai-Long Nguyen;Yew-Kwong Woon;Wee-Keong Ng

  • Web classification using support vector machine

    Aixin Sun;Ee-Peng Lim;Wee-Keong Ng

  • Private data deduplication protocols in cloud storage

    Wee Keong Ng;Yonggang Wen;Huafei Zhu

  • Density-based clustering of data streams at multiple resolutions

    Li Wan;Wee Keong Ng;Xuan Hong Dang;Philip S. Yu

  • Ontologies and electronic commerce

    D. Fensel;D.L. McGuiness;E. Schulten;Wee Keong Ng

  • Blockchain-Based System for Secure Data Storage with Private Keyword Search

    Hoang Giang Do;Wee Keong Ng

  • Rapid association rule mining

    Amitabha Das;Wee-Keong Ng;Yew-Kwong Woon

  • Block-oriented compression techniques for large statistical databases

    Wee-Keong Ng;C.V. Ravishankar

  • G-Portal: a map-based digital library for distributed geospatial and georeferenced resources

    Ee-Peng Lim;Dion Hoe-Lian Goh;Zehua Liu;Wee-Keong Ng

  • Privacy-preservation for gradient descent methods

    Li Wan;Wee Keong Ng;Shuguo Han;Vincent C. S. Lee

  • Blocking reduction strategies in hierarchical text classification

    A. Sun;E.-P. Lim;W.-K. Ng;J. Srivastava

  • Performance measurement framework for hierarchical text classification

    Aixin Sun;Ee-Peng Lim;Wee Keong Ng

  • Privacy-Preserving Gradient-Descent Methods

    Shuguo Han;Wee Keong Ng;Li Wan;Vincent C S Lee

  • Graph-Based Data Mining

    Wenyuan Li;Wee-Keong Ng;Kok-Leong Ong

  • DTD-Miner: a tool for mining DTD from XML documents

    Chuang-Hue Moh;Ee-Peng Lim;Wee-Keong Ng

  • Heterogeneous ensemble for feature drifts in data streams

    Hai-Long Nguyen;Yew-Kwong Woon;Wee-Keong Ng;Li Wan

  • Heterogeneous product description in electronic commerce

    Wee Keong Ng;Guanghao Yan;Ee-Peng Lim

  • Towards security in sharing data on cloud-based social networks

    Duc H. Tran;Hai-Long Nguyen;Wei Zha;Wee Keong Ng

  • Mystiko—Blockchain Meets Big Data

    Eranga Bandara;Wee Keong Ng;Kasun De Zoysa;Newton Fernando

Frequent Co-Authors

Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Sourav S. Bhowmick
Sourav S. Bhowmick Nanyang Technological University
Haifeng Liu
Haifeng Liu Tianjin University
Feifei Li
Feifei Li Alibaba Group (China)
Aixin Sun
Aixin Sun Nanyang Technological University
Steven C. H. Hoi
Steven C. H. Hoi Alibaba Group (China)
Wen Feng Lu
Wen Feng Lu National University of Singapore
Dion Hoe-Lian Goh
Dion Hoe-Lian Goh Nanyang Technological University
Jie Zhang
Jie Zhang Nanyang Technological University
Sunghyun Choi
Sunghyun Choi Samsung (South Korea)

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