2026 Junzhou 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	80	1077	1042	579	557	413	27215

Overview

Junzhou Huang is a researcher affiliated with The University of Texas at Arlington in the United States. Their work spans the intersection of computer science and biochemistry, genetics, and molecular biology, with a significant focus on artificial intelligence applications in biomedical fields.

The primary fields of study in Junzhou Huang's research include:

Computer Science
Biochemistry, Genetics and Molecular Biology

Within these disciplines, their notable subfields of study encompass:

Artificial Intelligence
Computer Vision and Pattern Recognition
Molecular Biology
Radiology, Nuclear Medicine and Imaging
Computational Theory and Mathematics

Junzhou Huang's work covers diverse main topics, including:

AI in cancer detection
Advanced Graph Neural Networks
Computational Drug Discovery Methods
Domain Adaptation and Few-Shot Learning
Radiomics and Machine Learning in Medical Imaging
Protein Structure and Dynamics
Machine Learning in Materials Science

Among their recent publications are the following papers:

"Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
"Transformer-based unsupervised contrastive learning for histopathological image classification," 2022, Medical Image Analysis
"scBERT as a large-scale pretrained deep language model for cell type annotation of single-cell RNA-seq data," 2022, Nature Machine Intelligence
"Self-Supervised Graph Transformer on Large-Scale Molecular Data," 2020, arXiv (Cornell University)
"Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks," 2020, Medical Image Analysis

The frequent coauthors collaborating with Junzhou Huang include:

Yu Rong
Peilin Zhao
Tingyang Xu
Hehuan Ma
Jianhua Yao

Junzhou Huang has published extensively in several venues, most often contributing to:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
bioRxiv (Cold Spring Harbor Laboratory)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Medical Image Analysis

Best Publications

Adaptive Graph Convolutional Neural Networks

Ruoyu Li;Sheng Wang;Feiyun Zhu;Junzhou Huang

786
Citations
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification

Yu Rong;Wenbing Huang;Tingyang Xu;Junzhou Huang

685
Citations
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks

Tian Bian;Xi Xiao;Tingyang Xu;Peilin Zhao

648
Citations
The Benefit of Group Sparsity

Junzhou Huang;Tong Zhang

612
Citations
Robust tracking using local sparse appearance model and K-selection

Baiyang Liu;Junzhou Huang;Lin Yang;Casimir Kulikowsk

606
Citations
Learning with Structured Sparsity

Junzhou Huang;Tong Zhang;Dimitris Metaxas

601
Citations
Large-scale multi-view spectral clustering via bipartite graph

Yeqing Li;Feiping Nie;Heng Huang;Junzhou Huang

572
Citations
Graph Representation Learning via Graphical Mutual Information Maximization

Zhen Peng;Wenbing Huang;Minnan Luo;Qinghua Zheng

561
Citations
Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng;Wenbing Huang;Chuang Gan;Mingkui Tan

532
Citations
Discrimination-aware channel pruning for deep neural networks

Zhuangwei Zhuang;Mingkui Tan;Bohan Zhuang;Jing Liu

524
Citations
Progressive Feature Alignment for Unsupervised Domain Adaptation

Chaoqi Chen;Weiping Xie;Wenbing Huang;Yu Rong

459
Citations
Learning active facial patches for expression analysis

Lin Zhong;Qingshan Liu;Peng Yang;Bo Liu

451
Citations
Self-Supervised Graph Transformer on Large-Scale Molecular Data

Yu Rong;Yatao Bian;Tingyang Xu;Weiyang Xie

442
Citations
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks

Jiawen Yao;Xinliang Zhu;Jitendra Jonnagaddala;Nicholas J. Hawkins

420
Citations
Vision-Language Pre-Training with Triple Contrastive Learning

Unknown

407
Citations
Efficient MR image reconstruction for compressed MR imaging

Junzhou Huang;Shaoting Zhang;Dimitris N. Metaxas

377
Citations
Adaptive Sampling Towards Fast Graph Representation Learning

Wenbing Huang;Tong Zhang;Yu Rong;Junzhou Huang

358
Citations
SMILES-BERT: Large Scale Unsupervised Pre-Training for Molecular Property Prediction

Sheng Wang;Yuzhi Guo;Yuhong Wang;Hongmao Sun

355
Citations
Pose-Free Facial Landmark Fitting via Optimized Part Mixtures and Cascaded Deformable Shape Model

Xiang Yu;Junzhou Huang;Shaoting Zhang;Wang Yan

326
Citations
Towards robust and effective shape prior modeling: sparse shape composition

Dimitris N. Metaxas;Shaoting Zhang

299
Citations
Early triage of critically ill COVID-19 patients using deep learning

Wenhua Liang;Jianhua Yao;Ailan Chen;Qingquan Lv

274
Citations
Graph Convolutional Networks for Temporal Action Localization

Runhao Zeng;Wenbing Huang;Mingkui Tan;Yu Rong

6
Citations

Frequent Co-Authors

Dimitris N. Metaxas Rutgers, The State University of New Jersey

Peilin Zhao Tencent (China)

Wenbing Huang Renmin University of China

Shaoting Zhang University of Electronic Science and Technology of China

Mingkui Tan South China University of Technology

Xiaolei Huang Pennsylvania State University

Jianhua Yao Tencent (China)

Tong Zhang University of Illinois at Urbana-Champaign

Chuang Gan University of Massachusetts Amherst

Wenwu Zhu Tsinghua University

External Links

Personal website of Junzhou Huang Google Scholar page

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

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a wide range of related online degrees and specialized career pathways. Students interested in security can pursue a cyber security bachelor degree online. This field is rapidly growing and highly relevant, as organizations need skilled professionals to protect their data and networks.

Diverse industries also require expertise in management, technology, and analysis. For example, those interested in project leadership may consider a bachelors construction management program. Such degrees combine technical knowledge with leadership skills, providing strong career prospects in construction and beyond.

Cost is an important factor when comparing degree options. If you are invested in the justice system and analyzing digital evidence, researching criminal justice degree cost can help you make an informed choice. Likewise, those with an interest in finance and data analytics can compare the cost of accounting degree to evaluate return on investment.

Exploring related degrees allows you to customize your academic experience and build a career path that aligns with your goals in technology, management, law, or finance.