2026 Wee Keong Ng: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	36	11168	10851	151	151	287	6261

Wee Keong Ng publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Wee Keong Ng sits on this spectrum.

32 publications 991+

This scientist: 287 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Wee Keong Ng D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Wee Keong Ng sits on this spectrum.

30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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

415
Citations
A survey of Web metrics

Devanshu Dhyani;Wee Keong Ng;Sourav S. Bhowmick

393
Citations
A survey on data stream clustering and classification

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

378
Citations
Web classification using support vector machine

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

334
Citations
Private data deduplication protocols in cloud storage

Wee Keong Ng;Yonggang Wen;Huafei Zhu

272
Citations
Density-based clustering of data streams at multiple resolutions

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

196
Citations
Ontologies and electronic commerce

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

176
Citations
Blockchain-Based System for Secure Data Storage with Private Keyword Search

Hoang Giang Do;Wee Keong Ng

154
Citations
Rapid association rule mining

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

145
Citations
Block-oriented compression techniques for large statistical databases

Wee-Keong Ng;C.V. Ravishankar

112
Citations
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

108
Citations
Privacy-preservation for gradient descent methods

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

101
Citations
Blocking reduction strategies in hierarchical text classification

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

100
Citations
Performance measurement framework for hierarchical text classification

Aixin Sun;Ee-Peng Lim;Wee Keong Ng

96
Citations
Privacy-Preserving Gradient-Descent Methods

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

95
Citations
Graph-Based Data Mining

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

87
Citations
DTD-Miner: a tool for mining DTD from XML documents

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

87
Citations
Heterogeneous ensemble for feature drifts in data streams

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

85
Citations
Heterogeneous product description in electronic commerce

Wee Keong Ng;Guanghao Yan;Ee-Peng Lim

75
Citations
Towards security in sharing data on cloud-based social networks

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

69
Citations
Mystiko—Blockchain Meets Big Data

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

62
Citations

Frequent Co-Authors

Ee-Peng Lim Singapore Management University

Sourav S. Bhowmick Nanyang Technological University

Sanjay Kumar Madria Missouri University of Science and Technology

Haifeng Liu Tianjin University

Feifei Li Alibaba Group (China)

Aixin Sun Nanyang Technological University

Steven C. H. Hoi Alibaba Group (China)

Wen Feng Lu National University of Singapore

Dion Hoe-Lian Goh Nanyang Technological University

Sunghyun Choi Samsung (South Korea)

External Links

Personal website of Wee Keong Ng Google Scholar page

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