2026 Lipo Wang: 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	55	4248	4130	66	66	280	14584

Lipo Wang 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 Lipo Wang sits on this spectrum.

32 publications 991+

This scientist: 280 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Lipo Wang 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 Lipo Wang sits on this spectrum.

30 D-Index 131+

This scientist: 55 D-Index — 71st percentile

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

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

Overview

Lipo Wang is affiliated with Nanyang Technological University in Singapore and focuses research efforts primarily in the fields of Computer Science and Engineering. Their work encompasses various subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Biomedical Engineering, and Electrical and Electronic Engineering.

The scientist's research covers multiple topics, notably Medical Image Segmentation Techniques, EEG and Brain-Computer Interfaces, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, Stock Market Forecasting Methods, Face Recognition and Analysis, and Generative Adversarial Networks and Image Synthesis.

Selected recent papers authored or coauthored by Lipo Wang include:

"3D Deep Learning on Medical Images: A Review," 2020, MDPI (MDPI AG)
"Shallow 3D CNN for Detecting Acute Brain Hemorrhage From Medical Imaging Sensors," 2020, IEEE Sensors Journal
"Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting," 2020, Information Sciences
"Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics," 2022, IEEE Journal of Biomedical and Health Informatics
"TFormer: A time-frequency Transformer with batch normalization for driver fatigue recognition," 2024, Advanced Engineering Informatics

Frequent collaborators include:

Yaoli Wang
Olga Sourina
Ruilin Li
Pratik Chattopadhyay
Basim Azam

Lipo Wang has published extensively in venues such as arXiv (Cornell University), SSRN Electronic Journal, IEEE Sensors Journal, Methods, and Journal of Artificial Intelligence and Soft Computing Research.

The scientist's book publications span several publishers, including:

Springer International Publishing, with works such as "Communication and Intelligent Systems" (2022, 2023) and "Machine Intelligence for Research and Innovations" (2024)
Springer Science+Business Media, publishing "Communications, Networking, and Information Systems" and "Big Data and Cloud Computing" in 2023
Springer Nature, with "Proceedings of Academia-Industry Consortium for Data Science" (2022)
World Scientific, with "EEG Signal Classification Using Machine Learning" set for 2025

The scope of Lipo Wang's work reflects a combination of theoretical and applied research across multiple interconnected areas within computer science and engineering disciplines.

Best Publications

Support Vector Machines: Theory and Applications

Lipo Wang

1761
Citations
Deep Learning Applications in Medical Image Analysis

Justin Ker;Lipo Wang;Jai Rao;Tchoyoson Lim

1619
Citations
Data mining with computational intelligence

Lipo Wang

629
Citations
3D Deep Learning on Medical Images: A Review.

Satya Prakash Singh;Lipo Wang;Sukrit Gupta;Haveesh Goli

558
Citations
Advances in Natural Computation

Lipo Wang;Ke Chen;Yew Soon Ong

537
Citations
Accurate Cancer Classification Using Expressions of Very Few Genes

Lipo Wang;Feng Chu;Wei Xie

359
Citations
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance

Xiuju Fu;Lipo Wang

357
Citations
Feature selection methods for big data bioinformatics: A survey from the search perspective.

Lipo Wang;Yaoli Wang;Qing Chang

345
Citations
Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets

Zirui Lan;Olga Sourina;Lipo Wang;Reinhold Scherer

327
Citations
On chaotic simulated annealing

L. Wang;K. Smith

266
Citations
Real-time EEG-based emotion monitoring using stable features

Zirui Lan;Olga Sourina;Lipo Wang;Yisi Liu

232
Citations
Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum

Xiaolong Bai;Yuming Fang;Weisi Lin;Lipo Wang

226
Citations
Applications of support vector machines to cancer classification with microarray data.

Feng Chu;Lipo Wang

218
Citations
A noisy chaotic neural network for solving combinatorial optimization problems: stochastic chaotic simulated annealing

Lipo Wang;Sa Li;F. Tian;Xiuju Fu

214
Citations
An efficient semi-unsupervised gene selection method via spectral biclustering

Bing Liu;C. Wan;Lipo Wang

211
Citations
EEG Based Stress Monitoring

Xiyuan Hou;Yisi Liu;Olga Sourina;Yun Rui Eileen Tan

206
Citations
Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans

Justin Ker;Satya Prakash Singh;Yeqi Bai;Jai Rao

185
Citations
STEW: Simultaneous Task EEG Workload Data Set

W. L. Lim;O. Sourina;L. P. Wang

152
Citations
OSCILLATIONS AND CHAOS IN NEURAL NETWORKS : AN EXACTLY SOLVABLE MODEL

Lipo Wang;Elgar E. Pichler;John Ross

149
Citations
Automated brain histology classification using machine learning.

Justin Ker;Yeqi Bai;Hwei Yee Lee;Jai Rao

142
Citations
A General Wrapper Approach to Selection of Class-Dependent Features

Lipo Wang;Nina Zhou;Feng Chu

138
Citations

Frequent Co-Authors

Weisi Lin Nanyang Technological University

Hongkai Zhao Duke University

Reinhold Scherer University of Essex

Gernot R. Müller-Putz Graz University of Technology

Daniel L. Alkon West Virginia University

Yew-Soon Ong Nanyang Technological University

Krzysztof Cpałka Częstochowa University of Technology

Balázs Gulyás Nanyang Technological University

Leonard Mandel University of Rochester

Jacek M. Zurada University of Louisville

External Links

Personal website of Lipo Wang

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring your options in computer science often means looking beyond traditional campuses. Many students start with an associate's degree online, which offers flexibility and a solid foundation for more advanced study or entry-level tech roles.

Cost is a big consideration for most learners. Choosing from affordable online courses can help you manage your budget without sacrificing education quality. Plus, if you're worried about academic history, you’ll find online colleges that accept low gpa, making it more accessible for a wider range of students to break into this exciting field.

Not sure where a computer science degree might take you? Exploring career outcomes in related areas, such as discovering what jobs can you get with an environmental science degree, can provide useful insights. Tech skills are increasingly valuable across many fields. Whichever path you choose, online learning can open doors to new job opportunities and career growth.