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Yongtao Yu

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 39 9900 9619 1248 1242 121 4788

Yongtao Yu publications per year

The chart shows the history of publications by Yongtao Yu between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yongtao Yu published across 38 years, from 1988 to 2025, averaging 4.2 papers a year. Output peaked at 19 publications in 2021. 22 of the 158 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2021. 1988: 1 publication 1989: 0 publications 1990: 0 publications 1991: 0 publications 1992: 0 publications 1993: 0 publications 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 0 publications 2003: 0 publications 2004: 0 publications 2005: 0 publications 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 0 publications 2010: 0 publications 2011: 1 publication 2012: 6 publications 2013: 7 publications 2014: 13 publications 2015: 15 publications 2016: 14 publications 2017: 4 publications 2018: 7 publications 2019: 6 publications 2020: 15 publications 2021: 19 publications 2022: 16 publications 2023: 12 publications 2024: 13 publications 2025: 9 publications
1988 2025

158 publications in total across all disciplines

View publications per year as a table
Yongtao Yu: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 0
1991 0
1992 0
1993 0
1994 0
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 0
2003 0
2004 0
2005 0
2006 0
2007 0
2008 0
2009 0
2010 0
2011 1
2012 6
2013 7
2014 13
2015 15
2016 14
2017 4
2018 7
2019 6
2020 15
2021 19
2022 16
2023 12
2024 13
2025 9
Total 158
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Yongtao Yu publications per year - data summary

  • Yongtao Yu, a Computer Science scholar from Huaiyin Institute of Technology, has 158 publications recorded across 38 years, from 1988 to 2025.
  • The oldest publication on record dates to 1988 and the most recent to 2025.
  • The most productive year is 2021, with 19 publications.
  • The least productive years with any output are 1988 and 2011, with 1 publication each.
  • 22 of the 38 years in the span carry no publications at all (1989, 1990, 1991, 1992 and others).
  • The rate of publication averages 4.2 papers per year over the whole span, or 9.9 per year counting only the 16 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 69 publications, 44% of the career total.
  • Split into equal eras - 1988-2000: 1 publication (0.1 per year); 2001-2013: 14 publications (1.1 per year); 2014-2025: 143 publications (11.9 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Yongtao Yu 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 Yongtao Yu 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, 112–121 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: 121 publications — 15th percentile

15% 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
112–121 497 121
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
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

Yongtao Yu publication distribution in Computer Science in 2026 - data summary

  • The chart plots the publication count of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 97 ranges running from 32–41 to 991+ publications.
  • Yongtao Yu, a Computer Science scholar from Huaiyin Institute of Technology, records 121 publications - the 15th percentile of the discipline.
  • 15% of ranked Computer Science scientists score the same or lower than Yongtao Yu, and about 85% score higher.
  • The median of the discipline falls in the 202–211 publications range, and Yongtao Yu ranks below the median.
  • The most crowded range is 142–151 publications, holding 609 scientists (4% of the field).
  • 70% of the field sits in the lowest quarter of the value range (up to 272–281 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 991 publications or more, 100 scientists in all (<1% of the field).

Yongtao Yu 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 Yongtao Yu 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, 38–39 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: 39 D-Index — 33rd percentile

33% 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 39
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
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

Yongtao Yu D-index placement in Computer Science in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 14,188 Computer Science scientists ranked by Research.com in 2026, grouped into 52 ranges running from 30–31 to 131+ D-Index.
  • Yongtao Yu, a Computer Science scholar from Huaiyin Institute of Technology, records 39 D-Index - the 33rd percentile of the discipline.
  • 33% of ranked Computer Science scientists score the same or lower than Yongtao Yu, and about 67% score higher.
  • The median of the discipline falls in the 44–45 D-Index range, and Yongtao Yu ranks below the median.
  • The most crowded range is 36–37 D-Index, holding 990 scientists (7% of the field).
  • 71% of the field sits in the lowest quarter of the value range (up to 54–55 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 131 D-Index or more, 98 scientists in all (<1% of the field).

Overview

Yongtao Yu is affiliated with the Huaiyin Institute of Technology in China. Their research primarily spans the fields of Engineering, Computer Science, and Environmental Science, with a focus on applied technology and environmental applications.

The scientist's work encompasses several subfields, including Computer Vision and Pattern Recognition, Environmental Engineering, Civil and Structural Engineering, Media Technology, and Ocean Engineering. Their main research topics concentrate on Remote Sensing and LiDAR Applications, Advanced Neural Network Applications, Remote-Sensing Image Classification, Automated Road and Building Extraction, 3D Surveying and Cultural Heritage, 3D Shape Modeling and Analysis, and Remote Sensing in Agriculture.

Yongtao Yu has published multiple papers in well-recognized venues. Some of the recent significant publications include:

  • "An attention-based multiscale transformer network for remote sensing image change detection," 2023, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Pavement crack detection from CCD images with a locally enhanced transformer network," 2022, International Journal of Applied Earth Observation and Geoinformation
  • "Polyp Detection from Colorectum Images by Using Attentive YOLOv5," 2021, Diagnostics
  • "DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery," 2020, Remote Sensing

The scientist frequently publishes in venues such as the International Journal of Applied Earth Observation and Geoinformation, IEEE Geoscience and Remote Sensing Letters, Remote Sensing, IEEE Transactions on Intelligent Transportation Systems, and the ISPRS Journal of Photogrammetry and Remote Sensing.

Collaborations play a significant role in their research. Frequent co-authors include Haiyan Guan, Jonathan Li, Dilong Li, Lingfei Ma, and Changhui Yu, with co-authorship counts ranging from 8 to 33 shared publications.

Best Publications

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

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

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

    Haiyan Guan;Jonathan Li;Shuang Cao;Yongtao Yu

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

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Deep learning-based tree classification using mobile LiDAR data

    Haiyan Guan;Yongtao Yu;Zheng Ji;Jonathan Li

  • Automated Road Information Extraction From Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael Chapman

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

    Yongtao Yu;Jonathan Li;Haiyan Guan;Fukai Jia

  • An attention-based multiscale transformer network for remote sensing image change detection

    Unknown

  • Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments

    Lingfei Ma;Ying Li;Jonathan Li;Weikai Tan

  • Extraction of power-transmission lines from vehicle-borne lidar data

    Haiyan Guan;Yongtao Yu;Jonathan Li;Zheng Ji

  • Iterative Tensor Voting for Pavement Crack Extraction Using Mobile Laser Scanning Data

    Haiyan Guan;Jonathan Li;Yongtao Yu;Michael A. Chapman

  • Bag-of-visual-phrases and hierarchical deep models for traffic sign detection and recognition in mobile laser scanning data

    Yongtao Yu;Jonathan Li;Jonathan Li;Chenglu Wen;Haiyan Guan

  • Automated Extraction of Urban Road Facilities Using Mobile Laser Scanning Data

    Yongtao Yu;Jonathan Li;Haiyan Guan;Cheng Wang

  • Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters

    Suoyan Pan;Haiyan Guan;Yating Chen;Yongtao Yu

  • Using Mobile LiDAR Data for Rapidly Updating Road Markings

    Haiyan Guan;Jonathan Li;Yongtao Yu;Zheng Ji

  • Rapid Localization and Extraction of Street Light Poles in Mobile LiDAR Point Clouds: A Supervoxel-Based Approach

    Fan Wu;Chenglu Wen;Yulan Guo;Jingjing Wang

  • Automated Detection of Urban Road Manhole Covers Using Mobile Laser Scanning Data

    Yongtao Yu;Haiyan Guan;Zheng Ji

  • Vehicle Detection in High-Resolution Aerial Images Based on Fast Sparse Representation Classification and Multiorder Feature

    Ziyi Chen;Cheng Wang;Huan Luo;Hanyun Wang

  • Multispectral LiDAR Point Cloud Classification Using SE-PointNet++

    Zhuangwei Jing;Haiyan Guan;Peiran Zhao;Dilong Li

  • DA-CapsUNet: A Dual-Attention Capsule U-Net for Road Extraction from Remote Sensing Imagery

    Yongfeng Ren;Yongtao Yu;Haiyan Guan

  • Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images

    Haiyan Guan;Wanqian Yan;Yongtao Yu;Liang Zhong

  • Semantic Labeling of Mobile LiDAR Point Clouds via Active Learning and Higher Order MRF

    Huan Luo;Cheng Wang;Chenglu Wen;Ziyi Chen

  • Spatial-Related Traffic Sign Inspection for Inventory Purposes Using Mobile Laser Scanning Data

    Chenglu Wen;Jonathan Li;Huan Luo;Yongtao Yu

Frequent Co-Authors

Haiyan Guan
Haiyan Guan Nanjing University of Information Science and Technology
Jonathan Li
Jonathan Li University of Waterloo
Cheng Wang
Cheng Wang Xiamen University
Chenglu Wen
Chenglu Wen Xiamen University
Xingjun Liu
Xingjun Liu Harbin Institute of Technology
Jun Yu
Jun Yu Hangzhou Dianzi University
Yonglong Lu
Yonglong Lu Chinese Academy of Sciences
Cheng Wang
Cheng Wang Xiamen University
Deren Li
Deren Li Wuhan University
Dawei Wang
Dawei Wang Chinese Academy of Sciences

External Links

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