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

Laurence T. Yang publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Laurence T. Yang sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 446 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 840 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Laurence T. Yang D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Laurence T. Yang sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 263 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 93 D-Index — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

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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