2026 Hua Huang: 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	11201	10883	4636	4438	136	5987

Overview

Hua Huang is affiliated with the University of California, Merced in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a strong emphasis on subfields such as Computer Vision and Pattern Recognition, Media Technology, Biomedical Engineering, Artificial Intelligence, and Electrical and Electronic Engineering.

Their body of work encompasses a broad range of topics, including:

Image and Signal Denoising Methods
Advanced Image Fusion Techniques
Advanced Image Processing Techniques
Advanced Vision and Imaging
Remote-Sensing Image Classification
Video Surveillance and Tracking Methods
Image Processing Techniques and Applications

Hua Huang has published extensively, with frequent contributions to venues such as:

arXiv (Cornell University)
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Image Processing
Neurocomputing

They have collaborated regularly with a group of co-authors, including Lizhi Wang, Lei Zhang, Yuanfei Huang, Lingfei Song, and Hansen Feng.

Some recent papers highlight the diversity and focus of Hua Huang's research:

"3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising," published in 2020 in IEEE Transactions on Neural Networks and Learning Systems
"NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results," published in 2022 at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
"Coded Hyperspectral Image Reconstruction using Deep External and Internal Learning," published in 2021 in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model," published in 2020 in IEEE Transactions on Geoscience and Remote Sensing
"SIND: A Drone Dataset at Signalized Intersection in China," published in 2022 at the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Best Publications

No-reference image quality assessment based on spatial and spectral entropies

Lixiong Liu;Bao Liu;Hua Huang;Alan Conrad Bovik

778
Citations
Blind image quality assessment by relative gradient statistics and adaboosting neural network

Lixiong Liu;Yi Hua;Qingjie Zhao;Hua Huang

302
Citations
Occlusion-Aware Real-Time Object Tracking

Xingping Dong;Jianbing Shen;Dajiang Yu;Wenguan Wang

263
Citations
Super-resolution of human face image using canonical correlation analysis

Hua Huang;Huiting He;Xin Fan;Junping Zhang

252
Citations
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising

Kaixuan Wei;Ying Fu;Jiaolong Yang;Hua Huang

217
Citations
No-reference image quality assessment in curvelet domain

Lixiong Liu;Hongping Dong;Hua Huang;Alan C. Bovik

217
Citations
3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

Kaixuan Wei;Ying Fu;Hua Huang

207
Citations
Neighbor embedding based super-resolution algorithm through edge detection and feature selection

Tak-Ming Chan;Junping Zhang;Jian Pu;Hua Huang

202
Citations
Hyperspectral Image Reconstruction Using a Deep Spatial-Spectral Prior

Lizhi Wang;Chen Sun;Ying Fu;Min H. Kim

180
Citations
Incremental Learning Using Conditional Adversarial Networks

Ye Xiang;Ying Fu;Pan Ji;Hua Huang

177
Citations
HyperReconNet: Joint Coded Aperture Optimization and Image Reconstruction for Compressive Hyperspectral Imaging

Lizhi Wang;Tao Zhang;Ying Fu;Hua Huang

166
Citations
Super-Resolution Method for Face Recognition Using Nonlinear Mappings on Coherent Features

Hua Huang;Huiting He

161
Citations
Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements

Kaixuan Wei;Jiaolong Yang;Ying Fu;David Wipf

145
Citations
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging

Lizhi Wang;Chen Sun;Maoqing Zhang;Ying Fu

116
Citations
Hyperspectral Image Super-Resolution With Optimized RGB Guidance

Ying Fu;Tao Zhang;Yinqiang Zheng;Debing Zhang

95
Citations
Arcimboldo-like collage using internet images

Hua Huang;Lei Zhang;Hong-Chao Zhang

92
Citations
Coded Hyperspectral Image Reconstruction using Deep External and Internal Learning.

Ying Fu;Tao Zhang;Lizhi Wang;Hua Huang

92
Citations
Binocular spatial activity and reverse saliency driven no-reference stereopair quality assessment

Lixiong Liu;Bao Liu;Che-Chun Su;Hua Huang

89
Citations
Small Target Detection in Infrared Videos Based on Spatio-Temporal Tensor Model

Hong-Kang Liu;Lei Zhang;Hua Huang

86
Citations
Spectral Reflectance Recovery From a Single RGB Image

Ying Fu;Yongrong Zheng;Lin Zhang;Hua Huang

82
Citations
Fast Facial Image Super-Resolution via Local Linear Transformations for Resource-Limited Applications

Hua Huang;Ning Wu

81
Citations
Computational Hyperspectral Imaging Based on Dimension-Discriminative Low-Rank Tensor Recovery

Shipeng Zhang;Lizhi Wang;Ying Fu;Xiaoming Zhong

78
Citations

Frequent Co-Authors

Yinqiang Zheng National Institute of Informatics

Alan C. Bovik The University of Texas at Austin

Carola-Bibiane Schönlieb University of Cambridge

Xin Fan Dalian University of Technology

Z. Jane Wang University of British Columbia

David Wipf Amazon (United States)

Paul L. Rosin Cardiff University

Daniel Zeng Chinese Academy of Sciences

Tak-Ming Chan Hong Kong Polytechnic University

Wenguan Wang Zhejiang University

External Links

Personal website of Hua Huang

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

Related Online Degrees & Career Pathways

Exploring related fields can open diverse and lucrative career opportunities. For those interested in data-driven roles, pursuing a data science degree is one of the most affordable and in-demand options. It equips you with statistical analysis, programming, and machine learning skills that are widely sought after.

If your passion lies in technology and innovation, consider looking into electrical engineering degree online admissions. Studying electrical engineering online allows you to tailor your education to your schedule while gaining access to technical disciplines that lead to high-paying jobs.

Interested in entering the tech job market quickly? Some quick certifications that pay well can offer specialized training and job-ready skills in less time than a full degree. These options are ideal for both career changers and those looking to upskill rapidly.

For professionals seeking to enhance their credentials or advance into leadership, the shortest masters degree programs online let you earn a graduate qualification in less time. These accelerated pathways are perfect for busy individuals wanting to elevate their careers efficiently.