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Jonathan Li
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Computer Science
Canada
2025

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 77 1288 1247 43 38 513 21204

Jonathan Li publications per year

The chart shows the history of publications by Jonathan Li between 2001 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jonathan Li published across 26 years, from 2001 to 2026, averaging 31.1 papers a year. Output peaked at 81 publications in 2021. 55 of the 809 publications appeared in the last two years.

No. of publications
20 40 60 80
Bar chart. Horizontal axis: year, 2001 to 2026. Vertical axis: number of publications, 0 to 81. Peak 81 publications in 2021. 2001: 1 publication 2002: 3 publications 2003: 2 publications 2004: 5 publications 2005: 5 publications 2006: 5 publications 2007: 14 publications 2008: 6 publications 2009: 14 publications 2010: 15 publications 2011: 13 publications 2012: 23 publications 2013: 21 publications 2014: 41 publications 2015: 45 publications 2016: 52 publications 2017: 39 publications 2018: 49 publications 2019: 57 publications 2020: 61 publications 2021: 81 publications 2022: 73 publications 2023: 62 publications 2024: 67 publications 2025: 54 publications 2026: 1 publication
2001 2026

809 publications in total across all disciplines

View publications per year as a table
Jonathan Li: publications per year, 2001 to 2026
Year Publications
2001 1
2002 3
2003 2
2004 5
2005 5
2006 5
2007 14
2008 6
2009 14
2010 15
2011 13
2012 23
2013 21
2014 41
2015 45
2016 52
2017 39
2018 49
2019 57
2020 61
2021 81
2022 73
2023 62
2024 67
2025 54
2026 1
Total 809
Download as CSV

Jonathan Li publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Jonathan Li sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 512–521 publications, is where this scientist sits. 32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32–41 publications 991+

This scientist: 513 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57 513
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Jonathan Li D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Jonathan Li sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 76–77 D-Index, is where this scientist sits. 30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30–31 D-Index 131+

This scientist: 77 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139 77
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - IEEE Fellow for contributions to point cloud analytics in LiDAR remote sensing
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Fellow of the Engineering Institute of Canada
  • 2022 - Fellow of the Canadian Academy of Engineering
  • 2022 - Fellow of the Asia-Pacific Artificial Intelligence Association
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Jonathan Li is a researcher affiliated with the University of Waterloo in Canada. Their work spans multiple fields, with a focus on engineering, environmental science, and computer science. They have contributed extensively to subfields such as environmental engineering, computer vision and pattern recognition, geology, computational mechanics, and media technology.

Li's research covers a range of topics, particularly centered on remote sensing and LiDAR applications. Other main research themes include 3D surveying and cultural heritage, 3D shape modeling and analysis, automated road and building extraction, advanced neural network applications, remote-sensing image classification, and remote sensing in agriculture.

The scientist has published frequently in several venues, including:

  • International Journal of Applied Earth Observation and Geoinformation
  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Transactions on Intelligent Transportation Systems

Some recent papers authored or co-authored by Li include:

  • Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review (2020), published in IEEE Transactions on Neural Networks and Learning Systems
  • Review: Deep Learning on 3D Point Clouds (2020), published in Remote Sensing
  • A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices (2020), published in Computers and Electronics in Agriculture
  • The global carbon sink potential of terrestrial vegetation can be increased substantially by optimal land management (2022), published in Communications Earth & Environment
  • The Segment Anything Model (SAM) for remote sensing applications: From zero to one shot (2023), published in International Journal of Applied Earth Observation and Geoinformation

Jonathan Li collaborates frequently with several researchers, including José Marcato, Cheng Wang, Lingfei Ma, Wesley Nunes Gonçalves, and Kyle Gao. Their collaborative efforts have resulted in numerous publications.

Best Publications

  • Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework

    Zilong Zhong;Jonathan Li;Zhiming Luo;Michael Chapman

  • Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

    Ying Li;Lingfei Ma;Zilong Zhong;Fei Liu

  • A Review on Deep Learning in UAV Remote Sensing

    Lucas Prado Osco;José Marcato Junior;Ana Paula Marques Ramos;Lúcio André de Castro Jorge

  • Review: deep learning on 3D point clouds

    Saifullahi Aminu Bello;Shangshu Yu;Cheng Wang;Jibril Muhmmad Adam

  • Squeeze-and-Attention Networks for Semantic Segmentation

    Zilong Zhong;Zhong Qiu Lin;Rene Bidart;Xiaodan Hu

  • A study on DEM-derived primary topographic attributes for hydrologic applications: Sensitivity to elevation data resolution

    Simon Wu;Jonathan Li;G.H. Huang

  • Using mobile laser scanning data for automated extraction of road markings

    Haiyan Guan;Jonathan Li;Jonathan Li;Yongtao Yu;Cheng Wang

  • Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds

    Bisheng Yang;Lina Fang;Jonathan Li

  • Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways

    Weikai Tan;Nannan Qin;Lingfei Ma;Ying Li

  • A random forest ranking approach to predict yield in maize with uav-based vegetation spectral indices

    Ana Paula Marques Ramos;Lucas Prado Osco;Danielle Elis Garcia Furuya;Wesley Nunes Gonçalves

  • Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data

    Xianfeng Zhang;Chunhua Liao;Jonathan Li;Quan Sun

  • Use of mobile LiDAR in road information inventory: a review

    Haiyan Guan;Jonathan Li;Shuang Cao;Yongtao Yu

  • LO-Net: Deep Real-Time Lidar Odometry

    Qing Li;Shaoyang Chen;Cheng Wang;Xin Li

  • Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review

    Lingfei Ma;Ying Li;Jonathan Li;Cheng Wang

  • Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework

    Zilong Zhong;Ying Li;Lingfei Ma;Jonathan Li

  • Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests

    Haiyan Guan;Jonathan Li;Michael Chapman;Fei Deng

  • Fully convolutional networks for building and road extraction: Preliminary results

    Zilong Zhong;Jonathan Li;Weihong Cui;Han Jiang

  • Deep learning-based tree classification using mobile LiDAR data

    Haiyan Guan;Yongtao Yu;Zheng Ji;Jonathan Li

  • A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery

    Lucas Prado Osco;Mauro dos Santos de Arruda;José Marcato Junior;Neemias Buceli da Silva

  • Automated Extraction of Road Markings from Mobile Lidar Point Clouds

    Bisheng Yang;Lina Fang;Qingquan Li;Jonathan Li

  • Learning Hierarchical Features for Automated Extraction of Road Markings From 3-D Mobile LiDAR Point Clouds

    Yongtao Yu;Jonathan Li;Haiyan Guan;Fukai Jia

  • Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review

    Ying Li;Lingfei Ma;Zilong Zhong;Fei Liu

Frequent Co-Authors

Chenglu Wen
Chenglu Wen Xiamen University
Yongtao Yu
Yongtao Yu Huaiyin Institute of Technology
Yulan Guo
Yulan Guo Sun Yat-sen University
Jun Yu
Jun Yu Hangzhou Dianzi University
Bisheng Yang
Bisheng Yang Wuhan University
Guohe Huang
Guohe Huang University of Regina
Qingquan Li
Qingquan Li Shenzhen University
Alexander Wong
Alexander Wong University of Waterloo
Sisi Zlatanova
Sisi Zlatanova University of New South Wales
Dongpu Cao
Dongpu Cao University of Waterloo

External Links

Personal website of Jonathan Li Google Scholar page

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Best Scientists Citing Jonathan Li

Bisheng Yang

Bisheng Yang

Wuhan University

Publications: 24

Pedro Arias

Pedro Arias

Universidade de Vigo

Publications: 23

Juha Hyyppä

Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 20

Liangpei Zhang

Liangpei Zhang

Wuhan University

Publications: 20

Licheng Jiao

Licheng Jiao

Xidian University

Publications: 19

Belén Riveiro

Belén Riveiro

Universidade de Vigo

Publications: 17

Antero Kukko

Antero Kukko

Aalto University

Publications: 14

Shunlin Liang

Shunlin Liang

University of Hong Kong

Publications: 13

Biswajeet Pradhan

Biswajeet Pradhan

University of Technology Sydney

Publications: 12

David A. Clausi

David A. Clausi

University of Waterloo

Publications: 12

Ayman Habib

Ayman Habib

Purdue University West Lafayette

Publications: 12

Harri Kaartinen

Harri Kaartinen

University of Turku

Publications: 12

Qingquan Li

Qingquan Li

Shenzhen University

Publications: 11

Devis Tuia

Devis Tuia

École Polytechnique Fédérale de Lausanne

Publications: 11

Sisi Zlatanova

Sisi Zlatanova

University of New South Wales

Publications: 11

Uwe Stilla

Uwe Stilla

Technical University of Munich

Publications: 10

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