World's Best Scientists 2026 revealed!
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Computer Science
Canada
2026

D-Index & Metrics

Computer Science

D-Index
102
Citations
34543
World Ranking
341
National Ranking
11

Electronics and Electrical Engineering

D-Index
93
Citations
28784
World Ranking
265
National Ranking
12

Research.com Recognitions

  • 2026 - Research.com Computer Science in Canada Leader Award
  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award
  • 2020 - ACM Senior Member
  • 2020 - ACM Distinguished Member
  • 2020 - IEEE Fellow For contributions to modeling and design for cyber-physical-social systems
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering
  • The Canadian Academy of Engineering

Overview

Laurence T. Yang is affiliated with St. Francis Xavier University in Canada. Their research spans numerous fields, predominantly focusing on Biochemistry, Genetics and Molecular Biology as well as Computer Science. Within these domains, their primary subfields include Molecular Biology, Artificial Intelligence, Biomedical Engineering, Genetics, and Computer Networks and Communications.

The scientist's recent work covers a variety of interdisciplinary topics. Key research areas include:

  • Microbial Metabolic Engineering and Bioproduction
  • Biofuel production and bioconversion
  • Bioinformatics and Genomic Networks
  • Metabolomics and Mass Spectrometry Studies
  • Gene Regulatory Network Analysis
  • Advanced Graph Neural Networks
  • Photosynthetic Processes and Mechanisms

Laurence T. Yang has contributed to multiple papers published in diverse venues. Some recent publications include:

  • "Neighbor Contrastive Learning on Learnable Graph Augmentation," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A biochemically-interpretable machine learning classifier for microbial GWAS," 2020, Nature Communications
  • "Metabolic and genetic basis for auxotrophies in Gram-negative species," 2020, Proceedings of the National Academy of Sciences
  • "Synthesizing Systems Biology Knowledge from Omics Using Genome-Scale Models," 2020, PROTEOMICS
  • "Restoration of fitness lost due to dysregulation of the pyruvate dehydrogenase complex is triggered by ribosomal binding site modifications," 2021, Cell Reports

Laurence T. Yang frequently publishes in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Cell Reports, and BMC Bioinformatics.

The scientist has a history of collaborations with several recurring coauthors, including:

  • Bernhard Ø. Palsson
  • Sanjeev Dahal
  • Amitesh Anand
  • Anand V. Sastry
  • Shirui Pan

Throughout their career, Laurence T. Yang has received several professional recognitions including:

  • ACM Senior Member (2020)
  • ACM Distinguished Member (2020)
  • IEEE Fellow (2020) for contributions to modeling and design for cyber-physical-social systems
  • Membership in The Canadian Academy of Engineering

Best Publications

  • A survey on deep learning for big data

    Qingchen Zhang;Qingchen Zhang;Laurence T. Yang;Laurence T. Yang;Zhikui Chen;Peng Li

  • Data Mining for Internet of Things: A Survey

    Chun-Wei Tsai;Chin-Feng Lai;Ming-Chao Chiang;Laurence T. Yang

  • Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things

    Xiaokang Zhou;Wei Liang;Kevin I-Kai Wang;Hao Wang

  • Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions

    Jiafu Wan;Daqiang Zhang;Shengjie Zhao;Laurence T. Yang

  • The Internet of Things: From RFID to the Next-Generation Pervasive Networked Systems

    Lu Yan;Yan Zhang;Laurence T. Yang;Huansheng Ning

  • Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

    Hang Yu;Hang Yu;Laurence T. Yang;Qingchen Zhang;David Armstrong

  • A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

    Xuyun Zhang;Laurence T. Yang;Chang Liu;Jinjun Chen

  • CloudThings: A common architecture for integrating the Internet of Things with Cloud Computing

    Jiehan Zhou;Teemu Leppanen;Erkki Harjula;Mika Ylianttila

  • Cyberentity Security in the Internet of Things

    Huansheng Ning;Hong Liu;L. T. Yang

  • Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning

    Qingchen Zhang;Laurence T. Yang;Zhikui Chen

  • A Cloud-Edge Computing Framework for Cyber-Physical-Social Services

    Xiaokang Wang;Laurence T. Yang;Xia Xie;Jirong Jin

  • Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds

    Xiaomin Zhu;Laurence T. Yang;Huangke Chen;Ji Wang

  • Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks

    Zhenyu Zhou;Mianxiong Dong;Kaoru Ota;Guojun Wang

  • Authorized Public Auditing of Dynamic Big Data Storage on Cloud with Efficient Verifiable Fine-Grained Updates

    Chang Liu;Jinjun Chen;Laurence T. Yang;Xuyun Zhang

  • Trace analysis and mining for smart cities: issues, methods, and applications

    Gang Pan;Guande Qi;Wangsheng Zhang;Shijian Li

  • Intelligent Small Object Detection for Digital Twin in Smart Manufacturing With Industrial Cyber-Physical Systems

    Xiaokang Zhou;Xuesong Xu;Wei Liang;Zhi Zeng

  • Proceedings of the 5th international symposium on Parallel and Distributed Processing and Applications

    Ivan Stojmenovic;Ruppa K. Thulasiram;Laurence T. Yang;Weijia Jia

  • Deep Correlation Mining Based on Hierarchical Hybrid Networks for Heterogeneous Big Data Recommendations

    Xiaokang Zhou;Wei Liang;Kevin I-Kai Wang;Laurence T. Yang

  • An Efficient Deep Learning Model to Predict Cloud Workload for Industry Informatics

    Qingchen Zhang;Laurence T. Yang;Zheng Yan;Zhikui Chen

  • Real-Time Locating Systems Using Active RFID for Internet of Things

    Daqiang Zhang;Laurence Tianruo Yang;Min Chen;Shengjie Zhao

  • TPGF: geographic routing in wireless multimedia sensor networks

    Lei Shu;Yan Zhang;Laurence T. Yang;Yu Wang

  • RFID and Sensor Networks: Architectures, Protocols, Security, and Integrations

    Yan Zhang;Laurence T. Yang;Jiming Chen

Frequent Co-Authors

Naixue Xiong
Naixue Xiong Northeastern State University
Hai Jin
Hai Jin Huazhong University of Science and Technology
Jianhua Ma
Jianhua Ma Hosei University
Chunsheng Zhu
Chunsheng Zhu Southern University of Science and Technology
Zheng Yan
Zheng Yan Xidian University
Geyong Min
Geyong Min University of Exeter
Lei Shu
Lei Shu Nanjing Agricultural University
Victor C. M. Leung
Victor C. M. Leung Shenzhen University
Huansheng Ning
Huansheng Ning University of Science and Technology Beijing
Jong Hyuk Park
Jong Hyuk Park Seoul National University of Science and Technology

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