2026 Kar-Ann Toh: 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	11275	10954	137	137	226	5436

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

11275

10954

137

226

5436

Overview

Kar-Ann Toh is affiliated with Yonsei University in South Korea and has contributed extensively to research in Computer Science and Engineering. Their work spans multiple subfields, with a particular focus on Artificial Intelligence, Computer Vision and Pattern Recognition, Biophysics, Biomedical Engineering, and Signal Processing.

The primary topics addressed in Kar-Ann Toh's research include:

Indoor and Outdoor Localization Technologies
Neural Networks and Applications
Machine Learning and Extreme Learning Machines (ELM)
Biometric Identification and Security
Domain Adaptation and Few-Shot Learning
Spectroscopy Techniques in Biomedical and Chemical Research
Advanced Fluorescence Microscopy Techniques

Their recent publications demonstrate a diverse set of interests and methods across several domains:

"Surface Plasmon Localization-Based Super-resolved Raman Microscopy," 2020, published in Nano Letters
"Super-resolved Raman microscopy using random structured light illumination: Concept and feasibility," 2021, published in The Journal of Chemical Physics
"Blockwise Recursive Moore-Penrose Inverse for Network Learning," 2021, published in IEEE Transactions on Systems Man and Cybernetics Systems
"An Analytic Layer-wise Deep Learning Framework with Applications to Robotics," 2021, published on arXiv (Cornell University)
"Correlation Projection for Analytic Learning of a Classification Network," 2021, published in Neural Processing Letters

Kar-Ann Toh frequently collaborates with a group of co-authors, including:

Donghyun Kim
Zhiping Lin
Huiping Zhuang
Hongki Lee
Kentaro Mochizuki

Their work often appears in several academic venues, highlighting their interdisciplinary and evolving research focus. Frequent publication venues include:

arXiv (Cornell University)
Sensors
IEEE Access
Information Sciences
Nano Letters

Best Publications

Extreme Learning Machine

Erik Cambria;Guang-Bin Huang;Liyanaarachchi Lekamalage Chamara Kasun;Hongming Zhou

620
Citations
Alignment-Free Cancelable Fingerprint Templates Based on Local Minutiae Information

Chulhan Lee;Jeung-Yoon Choi;Kar-Ann Toh;Sangyoun Lee

231
Citations
Benchmarking a reduced multivariate polynomial pattern classifier

Kar-Ann Toh;Quoc-Long Tran;D. Srinivasan

175
Citations
Exploiting global and local decisions for multimodal biometrics verification

K.-A. Toh;Xudong Jiang;Wei-Yun Yau

154
Citations
Fingerprint image quality analysis

E. Lim;K.-A. Toh;P.N. Suganthan;X. Jiang

138
Citations
Deterministic neural classification

Kar-Ann Toh

131
Citations
Identity verification through palm vein and crease texture

Kar-Ann Toh;How-Lung Eng;Yuen-Siong Choo;Yoon-Leon Cha

124
Citations
Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

Bilal Mirza;Zhiping Lin;Kar-Ann Toh

124
Citations
Face detection based on skin color likelihood

Yuseok Ban;Sang-Ki Kim;Sooyeon Kim;Kar-Ann Toh

121
Citations
Micro-Doppler Mini-UAV Classification Using Empirical-Mode Decomposition Features

Beom-Seok Oh;Xin Guo;Fangyuan Wan;Kar-Ann Toh

113
Citations
2^N discretisation of biophasor in cancellable biometrics

Andrew Beng Jin Teoh;Kar-Ann Toh;Wai Kuan Yip

112
Citations
SVM-based feature extraction for face recognition

Sang-Ki Kim;Youn Jung Park;Kar-Ann Toh;Sangyoun Lee

111
Citations
An automatic drowning detection surveillance system for challenging outdoor pool environments

Unknown

104
Citations
Biometric scores fusion based on total error rate minimization

Kar-Ann Toh;Jaihie Kim;Sangyoun Lee

92
Citations
Between Classification-Error Approximation and Weighted Least-Squares Learning

Kar-Ann Toh;How-Lung Eng

91
Citations
Realtime training on mobile devices for face recognition applications

Kwontaeg Choi;Kar-Ann Toh;Hyeran Byun

90
Citations
DEWS: A Live Visual Surveillance System for Early Drowning Detection at Pool

How-Lung Eng;Kar-Ann Toh;Wei-Yun Yau;Junxian Wang

89
Citations
Combination of hyperbolic functions for multimodal biometrics data fusion

K.-A. Toh;Wei-Yun Yau

86
Citations
Maximizing area under ROC curve for biometric scores fusion

Kar-Ann Toh;Jaihie Kim;Sangyoun Lee

84
Citations
Model-guided deformable hand shape recognition without positioning aids

Wei Xiong;Kar-Ann Toh;Wei-Yun Yau;Xudong Jiang

82
Citations
Changeable Biometrics for Appearance Based Face Recognition

MinYi Jeong;Chulhan Lee;Jongsun Kim;Jeung-Yoon Choi

80
Citations

Frequent Co-Authors

Zhiping Lin Nanyang Technological University

Andrew Beng Jin Teoh Yonsei University

Wei-Yun Yau Institute for Infocomm Research

Jaihie Kim Yonsei University

Xudong Jiang Nanyang Technological University

Dipti Srinivasan National University of Singapore

Donghyun Kim Yonsei University

Badong Chen Xi'an Jiaotong University

Chien Chern Cheah Nanyang Technological University

Amaury Lendasse University of Houston

External Links

Personal website of Kar-Ann Toh

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

Related Online Degrees & Career Pathways

Pursuing a computer science degree in the USA opens doors to a wide array of career paths, both inside and outside the tech industry. Many students are now choosing flexible study options, including the fastest computer science degree programs online, to accelerate their learning and enter the workforce sooner.

Career versatility is a major advantage of this field. Students with an interest in environmental impacts and sustainability often explore alternatives, such as online mechanical engineering degrees or even the cheapest online environmental science degree programs.

The skills developed in these programs are highly transferable to roles ranging from IT, engineering, and data analysis, to more specialized fields such as those available to jobs for environmental science majors. Exploring these pathways can help you choose the best fit for your interests, goals, and budget.