Bing Yao

Bing Yao

Oklahoma State University

H-index: 12

North America-United States

About Bing Yao

Bing Yao, With an exceptional h-index of 12 and a recent h-index of 12 (since 2020), a distinguished researcher at Oklahoma State University, specializes in the field of Physical-statistical Modeling, Spatiotemporal Regularization, Healthcare Informatics, Data Analytics, Additive Manufacturing.

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

Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet

The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation

Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction

Hierarchical active learning for defect localization in 3D systems

Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals

Sensing, Modeling and Optimization of Cardiac Systems: A New Generation of Digital Twin for Heart Health Informatics

Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics

Physics-constrained deep learning for robust inverse ecg modeling

Bing Yao Information

University

Position

Assistant Professor -

Citations(all)

482

Citations(since 2020)

416

Cited By

174

hIndex(all)

12

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

14

Email

University Profile Page

Oklahoma State University

Google Scholar

View Google Scholar Profile

Bing Yao Skills & Research Interests

Physical-statistical Modeling

Spatiotemporal Regularization

Healthcare Informatics

Data Analytics

Additive Manufacturing

Top articles of Bing Yao

Title

Journal

Author(s)

Publication Date

Automated identification of atrial fibrillation from single-lead ECGs using multi-branching ResNet

AIP Conference Proceedings

Bidyut Bikash Borah

Uddipan Hazarika

Pomy Doley

Satyabrat Malla Bujar Baruah

Soumik Roy

2024/3/19

The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimation

arXiv preprint arXiv:2403.08154

Jianxin Xie

Bing Yao

Zheyu Jiang

2024/3/13

Multi-branching Temporal Convolutional Network with Tensor Data Completion for Diabetic Retinopathy Prediction

IEEE Journal of Biomedical and Health Informatics

Zekai Wang

Suhao Chen

Tieming Liu

Bing Yao

2024/1/9

Hierarchical active learning for defect localization in 3D systems

IISE Transactions on Healthcare Systems Engineering

Jianxin Xie

Bing Yao

2023/7/10

Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals

Computers in Biology and Medicine

Zekai Wang

Stavros Stavrakis

Bing Yao

2023/3/1

Sensing, Modeling and Optimization of Cardiac Systems: A New Generation of Digital Twin for Heart Health Informatics

Hui Yang

Bing Yao

2023/8/18

Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics

IEEE Transactions on Circuits and Systems for Video Technology

Zhangyang Wang

Vishal Patel

Bing Yao

Steve Jiang

Huimin Lu

...

2022/5/4

Physics-constrained deep learning for robust inverse ecg modeling

IEEE Transactions on Automation Science and Engineering

Jianxin Xie

Bing Yao

2022/1/28

Multi-branching neural network for myocardial infarction prediction

Zekai Wang

Chenang Liu

Bing Yao

2022/8/20

Prediction of diabetic retinopathy using longitudinal electronic health records

Suhao Chen

Zekai Wang

Bing Yao

Tieming Liu

2022/8/20

Physics-constrained deep active learning for spatiotemporal modeling of cardiac electrodynamics

Computers in Biology and Medicine

Jianxin Xie

Bing Yao

2022/7/1

Multi-branching temporal convolutional network for sepsis prediction

IEEE journal of biomedical and health informatics

Zekai Wang

Bing Yao

2021/6/28

Spatiotemporal modeling and optimization for personalized cardiac simulation

IISE Transactions on Healthcare Systems Engineering

Bing Yao

2021/2/11

Constrained Markov decision process modeling for optimal sensing of cardiac events in mobile health

IEEE Transactions on Automation Science and Engineering

Bing Yao

Yun Chen

Hui Yang

2021/1/28

Spatiotemporal regularization for inverse ECG modeling

IISE Transactions on Healthcare Systems Engineering

Bing Yao

Hui Yang

2020/10/7

See List of Professors in Bing Yao University(Oklahoma State University)

Co-Authors

H-index: 35
Prahalada Rao

Prahalada Rao

University of Nebraska-Lincoln

H-index: 34
Edward W. Reutzel

Edward W. Reutzel

Penn State University

H-index: 31
Hui Yang

Hui Yang

Penn State University

H-index: 27
Hai-Ou Li

Hai-Ou Li

University of Science and Technology of China

H-index: 12
Ruimin Chen

Ruimin Chen

Penn State University

H-index: 7
Jianxin Xie

Jianxin Xie

Oklahoma State University

academic-engine