World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
15863
World Ranking
3781
National Ranking
109

Overview

Lina Yao is a researcher affiliated with the Commonwealth Scientific and Industrial Research Organisation in Australia, focusing on the intersection of medicine and biochemistry, genetics, and molecular biology. Their research spans several subfields, including molecular biology, oncology, surgery, physiology, and pulmonary and respiratory medicine.

Their scientific output notably centers on topics such as drug transport and resistance mechanisms, adenosine and purinergic signaling, gut microbiota and health, pediatric hepatobiliary diseases and treatments, diet and metabolism studies, cancer mechanisms and therapy, and nuclear receptors and signaling.

Recent publications by Lina Yao include:

  • Human gut bacteria produce ΤΗ17-modulating bile acid metabolites, 2022, Nature
  • A bacterial bile acid metabolite modulates Treg activity through the nuclear hormone receptor NR4A1, 2021, Cell Host & Microbe
  • A microbial metabolite remodels the gut-liver axis following bariatric surgery, 2021, Cell Host & Microbe
  • Development of a covalent inhibitor of gut bacterial bile salt hydrolases, 2020, Nature Chemical Biology
  • A biosynthetic pathway for the selective sulfonation of steroidal metabolites by human gut bacteria, 2022, Nature Microbiology

Lina Yao frequently publishes in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature
  • Cell Host & Microbe
  • Developmental & Comparative Immunology
  • Nature Chemical Biology

Frequent collaborators include:

  • A. Sloan Devlin
  • Jun R. Huh
  • Donggi Paik
  • Yancong Zhang
  • Sena Bae

Best Publications

  • Deep Learning Based Recommender System: A Survey and New Perspectives

    Shuai Zhang;Lina Yao;Aixin Sun;Yi Tay

  • Adversarially regularized graph autoencoder for graph embedding

    Shirui Pan;Ruiqi Hu;Guodong Long;Jing Jiang

  • Deep Learning based Recommender System: A Survey and New Perspectives.

    Shuai Zhang;Lina Yao;Aixin Sun

  • Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities

    Kaixuan Chen;Dalin Zhang;Lina Yao;Bin Guo

  • Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

    Lei Bai;Lina Yao;Can Li;Xianzhi Wang

  • Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition

    Dalin Zhang;Lina Yao;Kaixuan Chen;Sen Wang

  • A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition

    Kaixuan Chen;Lina Yao;Dalin Zhang;Xianzhi Wang

  • Quaternion Knowledge Graph Embeddings

    Shuai Zhang;Yi Tay;Lina Yao;Qi Liu

  • STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

    Lei Bai;Lina Yao;Salil S. Kanhere;Xianzhi Wang

  • A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers.

    Xiang Zhang;Lina Yao;Xianzhi Wang;Jessica J M Monaghan

  • Unified Collaborative and Content-Based Web Service Recommendation

    Lina Yao;Quan Z. Sheng;Anne. H.H. Ngu;Jian Yu

  • CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services

    Talal H. Noor;Quan Z. Sheng;Lina Yao;Schahram Dustdar

  • A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis

    Dalin Zhang;Lina Yao;Kaixuan Chen;Jessica Monaghan

  • Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images

    Xiaocong Chen;Lina Yao;Tao Zhou;Jinming Dong

  • AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders

    Shuai Zhang;Lina Yao;Xiwei Xu

  • Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals

    Dalin Zhang;Kaixuan Chen;Debao Jian;Lina Yao

  • MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

    Manqing Dong;Feng Yuan;Lina Yao;Xiwei Xu

  • Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images

    Xiaocong Chen;Lina Yao;Yu Zhang

  • DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

    Feng Yuan;Lina Yao;Boualem Benatallah

  • A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers.

    Xiang Zhang;Lina Yao;Xianzhi Wang;Jessica Monaghan

  • Recommending Web Services via Combining Collaborative Filtering with Content-Based Features

    Lina Yao;Quan Z. Sheng;Aviv Segev;Jian Yu

  • Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface.

    Dalin Zhang;Lina Yao;Xiang Zhang;Sen Wang

  • Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface

    Dalin Zhang;Lina Yao;Xiang Zhang;Sen Wang

Frequent Co-Authors

Quan Z. Sheng
Quan Z. Sheng Macquarie University
Xiang Zhang
Xiang Zhang University of Hong Kong
Boualem Benatallah
Boualem Benatallah Dublin City University
Xue Li
Xue Li University of Queensland
Salil S. Kanhere
Salil S. Kanhere University of New South Wales
Guodong Long
Guodong Long University of Technology Sydney
Tao Gu
Tao Gu Macquarie University
Liming Zhu
Liming Zhu Commonwealth Scientific and Industrial Research Organisation
Zhiwen Yu
Zhiwen Yu Northwestern Polytechnical University
Xiwei Xu
Xiwei Xu Commonwealth Scientific and Industrial Research Organisation

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

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees and certificates can open new doors for students interested in computer science fields. For those looking for specialized roles, a data scientist degree provides in-demand technical and analytical skills. Data science continues to be one of the fastest-growing areas in tech, often leading to high-paying roles.

Engineering students can consider an online master’s in electrical engineering degree for advanced expertise that is widely valued by technology and energy firms. Such programs offer flexibility to study while working.

If you prefer a quicker route to employment, there are also easy licenses and certifications to get that can boost your resume without the need for a full degree. These certifications often focus on industry-recognized skills.

For professionals eager to accelerate their education, consider one of the shortest masters degree programs online. These let you upskill and qualify for advanced positions in a fraction of the usual time, maximizing your return on investment.

Best Scientists Citing Lina Yao

Trending Scientists