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Computer Science
Canada
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 93 265 258 12 12 840 28784
Computer Science 102 341 330 11 10 1103 34543

Laurence T. Yang publications per year

The chart shows the history of publications by Laurence T. Yang between 1964 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Laurence T. Yang published across 62 years, from 1964 to 2025, averaging 20.8 papers a year. Output peaked at 81 publications in 2021. 129 of the 1,290 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 1964 to 2025. Vertical axis: number of publications, 0 to 81. Peak 81 publications in 2021. 1964: 1 publication 1965: 0 publications 1966: 0 publications 1967: 0 publications 1968: 0 publications 1969: 0 publications 1970: 0 publications 1971: 0 publications 1972: 0 publications 1973: 0 publications 1974: 0 publications 1975: 0 publications 1976: 0 publications 1977: 0 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 0 publications 1985: 0 publications 1986: 0 publications 1987: 0 publications 1988: 0 publications 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 2 publications 1997: 7 publications 1998: 2 publications 1999: 5 publications 2000: 8 publications 2001: 9 publications 2002: 13 publications 2003: 4 publications 2004: 19 publications 2005: 35 publications 2006: 58 publications 2007: 47 publications 2008: 64 publications 2009: 65 publications 2010: 74 publications 2011: 39 publications 2012: 35 publications 2013: 66 publications 2014: 57 publications 2015: 70 publications 2016: 50 publications 2017: 68 publications 2018: 68 publications 2019: 49 publications 2020: 71 publications 2021: 81 publications 2022: 30 publications 2023: 64 publications 2024: 60 publications 2025: 69 publications
1964 2025

1,290 publications in total across all disciplines

View publications per year as a table
Laurence T. Yang: publications per year, 1964 to 2025
Year Publications
1964 1
1965 0
1966 0
1967 0
1968 0
1969 0
1970 0
1971 0
1972 0
1973 0
1974 0
1975 0
1976 0
1977 0
1978 0
1979 0
1980 0
1981 0
1982 0
1983 0
1984 0
1985 0
1986 0
1987 0
1988 0
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 2
1997 7
1998 2
1999 5
2000 8
2001 9
2002 13
2003 4
2004 19
2005 35
2006 58
2007 47
2008 64
2009 65
2010 74
2011 39
2012 35
2013 66
2014 57
2015 70
2016 50
2017 68
2018 68
2019 49
2020 71
2021 81
2022 30
2023 64
2024 60
2025 69
Total 1,290
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Laurence T. Yang publications per year - data summary

  • Laurence T. Yang, a Electronics and Electrical Engineering scholar from St. Francis Xavier University, has 1,290 publications recorded across 62 years, from 1964 to 2025.
  • The oldest publication on record dates to 1964 and the most recent to 2025.
  • The most productive year is 2021, with 81 publications.
  • The least productive year with any output is 1964, with 1 publication.
  • 31 of the 62 years in the span carry no publications at all (1965, 1966, 1967, 1968 and others).
  • The rate of publication averages 20.8 papers per year over the whole span, or 41.6 per year counting only the 31 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 304 publications, 24% of the career total.
  • Split into equal eras - 1964-1984: 1 publication (0.0 per year); 1985-2005: 104 publications (5.0 per year); 2006-2025: 1,185 publications (59.3 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 834–853 publications, is where this scientist sits. 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: 445 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16 840
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
Download as CSV

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

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Laurence T. Yang, a Electronics and Electrical Engineering scholar from St. Francis Xavier University, records 840 publications - the 97th percentile of the discipline.
  • 97% of ranked Electronics and Electrical Engineering scientists score the same or lower than Laurence T. Yang, and about 3% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Laurence T. Yang ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 93 D-Index, is where this scientist sits. 30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9 93
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Laurence T. Yang, a Electronics and Electrical Engineering scholar from St. Francis Xavier University, records 93 D-Index - the 96th percentile of the discipline.
  • 96% of ranked Electronics and Electrical Engineering scientists score the same or lower than Laurence T. Yang, and about 4% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Laurence T. Yang ranks above the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

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
  • 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

  • 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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