jen hong, tan

National University of Singapore

H-index: 54

Asia-Singapore

About jen hong, tan

jen hong, tan, With an exceptional h-index of 54 and a recent h-index of 44 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of image processing, computer vision, deep learning, infrared thermography, fundus image.

His recent articles reflect a diverse array of research interests and contributions to the field:

Automated anxiety detection using probabilistic binary pattern with ECG signals

Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images

A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy

An investigation of deep learning models for EEG-based emotion recognition

jen hong, tan Information

University	National University of Singapore
Position	Highly Cited Researcher in Computer Science
Citations(all)	13554
Citations(since 2020)	11026
Cited By	7239
hIndex(all)	54
hIndex(since 2020)	44
i10Index(all)	82
i10Index(since 2020)	76
Email	Access Email
University Profile Page	National University of Singapore
Google Scholar	View Google Scholar Profile

jen hong, tan Skills & Research Interests

image processing

computer vision

deep learning

infrared thermography

fundus image

Top articles of jen hong, tan

Title	Journal	Author(s)	Publication Date
Automated anxiety detection using probabilistic binary pattern with ECG signals	Computer Methods and Programs in Biomedicine	Mehmet Baygin Prabal Datta Barua Sengul Dogan Turker Tuncer Tan Jen Hong ...	2024/2/10
Pre-training of Lightweight Vision Transformers on Small Datasets with Minimally Scaled Images	arXiv preprint arXiv:2402.03752	Jen Hong Tan	2024/2/6
A New Transfer Function for Volume Visualization of Aortic Stent and Its Application to Virtual Endoscopy	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)	Chenxi Huang Yisha Lan Guokai Zhang Gaowei Xu Landu Jiang ...	2020/6/20
An investigation of deep learning models for EEG-based emotion recognition	Frontiers in Neuroscience	Yaqing Zhang Jinling Chen Jen Hong Tan Yuxuan Chen Yunyi Chen ...	2020/12/23