2026 Kuanquan 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	4328	4207	573	570	397	11811

Overview

Kuanquan Wang is affiliated with the Harbin Institute of Technology in China. Their research spans disciplines primarily within Medicine and Computer Science, with significant contributions to specialized subfields such as Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Computer Vision and Pattern Recognition, and Artificial Intelligence.

Their research topics focus largely on cardiac-related subjects and medical imaging, including:

Cardiac electrophysiology and arrhythmias
ECG Monitoring and Analysis
Radiomics and Machine Learning in Medical Imaging
Ion channel regulation and function
Advanced MRI Techniques and Applications
Medical Image Segmentation Techniques
Medical Imaging Techniques and Applications

Kuanquan Wang has published extensively in venues covering biomedical imaging and clinical data analysis. Frequent publication venues include:

arXiv (Cornell University)
Computing in cardiology
Medical Image Analysis
IEEE Journal of Biomedical and Health Informatics
Frontiers in Physiology

Among the notable recent papers authored or co-authored by Kuanquan Wang are:

"A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging" (2020, Medical Image Analysis)
"ResNet-Attention model for human authentication using ECG signals" (2020, Expert Systems)
"Generating electrocardiogram signals by deep learning" (2020, Neurocomputing)
"Automatic Detection of QRS Complexes Using Dual Channels Based on U-Net and Bidirectional Long Short-Term Memory" (2020, IEEE Journal of Biomedical and Health Informatics)
"A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification" (2023, Biomedical Signal Processing and Control)

Collaboration is a significant aspect of their career, working frequently with peers such as:

Gongning Luo
Henggui Zhang
Qince Li
Shuo Li
Suyu Dong

In addition to journal publications, Kuanquan Wang has contributed to book publications under Frontiers Media, including the title "Intelligent Analysis of Biomedical Imaging Data for Precision Medicine" published in 2022.

Best Publications

Palmprint recognition using eigenpalms features

Guangming Lu;David Zhang;Kuanquan Wang

773
Citations
Neighborhood Component Feature Selection for High-Dimensional Data

Wei Yang;Kuanquan Wang;Wangmeng Zuo

591
Citations
Fisherpalms based palmprint recognition

Xiangqian Wu;David Zhang;Kuanquan Wang

560
Citations
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

428
Citations
Detecting atrial fibrillation by deep convolutional neural networks.

Yong Xia;Naren Wulan;Kuanquan Wang;Henggui Zhang

353
Citations
Palmprint classification using principal lines

Xiangqian Wu;David Zhang;Kuanquan Wang;Bo Huang

260
Citations
Computerized tongue diagnosis based on Bayesian networks

Bo Pang;D. Zhang;N. Li;Kuanquan Wang

250
Citations
A Review on solid oxide fuel cell models

K. Wang;D. Hissel;M.C. Péra;N. Steiner

241
Citations
Palm line extraction and matching for personal authentication

Xiangqian Wu;D. Zhang;Kuanquan Wang

220
Citations
Multimodal Biometric Authentication Systems Using Convolution Neural Network Based on Different Level Fusion of ECG and Fingerprint

Mohamed Hammad;Yashu Liu;Kuanquan Wang

220
Citations
Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images

Chao Ma;Gongning Luo;Kuanquan Wang

205
Citations
Automatic Cardiac Arrhythmia Classification Using Combination of Deep Residual Network and Bidirectional LSTM

Runnan He;Yang Liu;Kuanquan Wang;Na Zhao

203
Citations
Ability-training-oriented automated assessment in introductory programming course

Tiantian Wang;Xiaohong Su;Peijun Ma;Yuying Wang

192
Citations
Detection of abnormal heart conditions based on characteristics of ECG signals

Mohamed Hammad;Mohamed Hammad;Asmaa Maher;Kuanquan Wang;Feng Jiang

188
Citations
The bi-elliptical deformable contour and its application to automated tongue segmentation in Chinese medicine

Bo Pang;D. Zhang;Kuanquan Wang

175
Citations
BDPCA plus LDA: a novel fast feature extraction technique for face recognition

Wangmeng Zuo;D. Zhang;Jian Yang;Kuanquan Wang

167
Citations
Fast neighborhood component analysis

Wei Yang;Kuanquan Wang;Wangmeng Zuo

165
Citations
Bidirectional PCA with assembled matrix distance metric for image recognition

Wangmeng Zuo;D. Zhang;Kuanquan Wang

161
Citations
Wavelet-based cascaded adaptive filter for removing baseline drift in pulse waveforms

Lisheng Xu;D. Zhang;Kuanquan Wang

153
Citations
Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks.

Runnan He;Kuanquan Wang;Na Zhao;Yang Liu

139
Citations
Coarse iris classification using box-counting to estimate fractal dimensions

Li Yu;David Zhang;Kuanquan Wang;Wen Yang

134
Citations

Frequent Co-Authors

David Zhang Chinese University of Hong Kong, Shenzhen

Wangmeng Zuo Harbin Institute of Technology

Xiangqian Wu Harbin Institute of Technology

Lei Zhang Hong Kong Polytechnic University

Yue Zhang Westlake University

Wei Wang Harbin Institute of Technology

Shuo Li Case Western Reserve University

Max Q.-H. Meng Southern University of Science and Technology

Yong Xu Harbin Institute of Technology

Deyu Meng Xi'an Jiaotong University

External Links

Personal website of Kuanquan Wang Google Scholar page

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