World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 52 5026 4889 675 670 211 13005

Yu Liu publications per year

The chart shows the history of publications by Yu Liu between 1995 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yu Liu published across 32 years, from 1995 to 2026, averaging 18.7 papers a year. Output peaked at 60 publications in 2024. 55 of the 597 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1995 to 2026. Vertical axis: number of publications, 0 to 60. Peak 60 publications in 2024. 1995: 1 publication 1996: 0 publications 1997: 1 publication 1998: 0 publications 1999: 1 publication 2000: 1 publication 2001: 1 publication 2002: 4 publications 2003: 1 publication 2004: 6 publications 2005: 9 publications 2006: 8 publications 2007: 6 publications 2008: 17 publications 2009: 15 publications 2010: 21 publications 2011: 13 publications 2012: 20 publications 2013: 20 publications 2014: 18 publications 2015: 17 publications 2016: 16 publications 2017: 17 publications 2018: 31 publications 2019: 32 publications 2020: 45 publications 2021: 54 publications 2022: 55 publications 2023: 52 publications 2024: 60 publications 2025: 50 publications 2026: 5 publications
1995 2026

597 publications in total across all disciplines

View publications per year as a table
Yu Liu: publications per year, 1995 to 2026
Year Publications
1995 1
1996 0
1997 1
1998 0
1999 1
2000 1
2001 1
2002 4
2003 1
2004 6
2005 9
2006 8
2007 6
2008 17
2009 15
2010 21
2011 13
2012 20
2013 20
2014 18
2015 17
2016 16
2017 17
2018 31
2019 32
2020 45
2021 54
2022 55
2023 52
2024 60
2025 50
2026 5
Total 597
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Yu Liu 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 Yu Liu 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, 202–211 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: 211 publications — 50th percentile

50% 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
202–211 508 211
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
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Yu Liu 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 Yu Liu 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, 52–53 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: 52 D-Index — 65th percentile

65% 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 52
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
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Overview

Yu Liu is a researcher affiliated with Peking University in China, specializing primarily in social sciences with significant contributions to transportation and urban studies.

Their research spans several subfields, including:

  • Transportation
  • Global and Planetary Change
  • Building and Construction
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Yu Liu's work extensively covers topics such as:

  • Human Mobility and Location-Based Analysis
  • Urban Transport and Accessibility
  • Transportation Planning and Optimization
  • Land Use and Ecosystem Services
  • Impact of Light on Environment and Health
  • Geographic Information Systems Studies
  • Traffic Prediction and Management Techniques

They have published frequently in venues including:

  • arXiv (Cornell University)
  • International Journal of Geographical Information Systems
  • SSRN Electronic Journal
  • Computers Environment and Urban Systems
  • Cities

Recent notable publications by Yu Liu include:

  • "A review of urban physical environment sensing using street view imagery in public health studies," 2020, Annals of GIS
  • "Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks," 2020, Annals of the American Association of Geographers
  • "Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Access to hospitals: Potential vs. observed," 2020, Cities
  • "A national-scale assessment of land subsidence in China's major cities," 2024, Science

Yu Liu frequently collaborates with several researchers, including:

  • Zhou Huang
  • Fan Zhang
  • Chaogui Kang
  • Yongxi Gong
  • Xiaojian Chen

Best Publications

  • Social Sensing: A New Approach to Understanding Our Socioeconomic Environments

    Yu Liu;Xi Liu;Song Gao;Li Gong

  • Measuring human perceptions of a large-scale urban region using machine learning

    Fan Zhang;Fan Zhang;Fan Zhang;Bolei Zhou;Liu Liu;Yu Liu

  • Uncovering Patterns of Inter-Urban Trip and Spatial Interaction from Social Media Check-In Data

    Yu Liu;Zhengwei Sui;Chaogui Kang;Yong Gao

  • Understanding intra-urban trip patterns from taxi trajectory data

    Yu Liu;Chaogui Kang;Song Gao;Yu Xiao

  • Correlating mobile phone usage and travel behavior – A case study of Harbin, China

    Yihong Yuan;Martin Raubal;Martin Raubal;Yu Liu

  • Discovering Spatial Interaction Communities from Mobile Phone Data

    Song Gao;Yu Liu;Yaoli Wang;Xiujun Ma

  • Inferring trip purposes and uncovering travel patterns from taxi trajectory data

    Li Gong;Xi Liu;Lun Wu;Yu Liu

  • Intra-urban human mobility and activity transition: evidence from social media check-in data.

    Lun Wu;Ye Zhi;Zhengwei Sui;Yu Liu

  • Understanding Urban Traffic-Flow Characteristics: A Rethinking of Betweenness Centrality

    Song Gao;Yaoli Wang;Yong Gao;Yu Liu

  • Everyday space–time geographies: using mobile phone-based sensor data to monitor urban activity in Harbin, Paris, and Tallinn

    R. Ahas;A. Aasa;Y. Yuan;M. Raubal

  • Automatic Pavement Crack Detection by Multi-Scale Image Fusion

    Haifeng Li;Dezhen Song;Yu Liu;Binbin Li

  • Incorporating spatial interaction patterns in classifying and understanding urban land use

    Xi Liu;Chaogui Kang;Li Gong;Yu Liu

  • ModEco: an integrated software package for ecological niche modeling

    Qinghua Guo;Yu Liu

  • Spatial interpolation using conditional generative adversarial neural networks

    Di Zhu;Di Zhu;Ximeng Cheng;Fan Zhang;Fan Zhang;Xin Yao

  • Representing place locales using scene elements

    Fan Zhang;Fan Zhang;Ding Zhang;Yu Liu;Hui Lin

  • Exploring human movements in Singapore: a comparative analysis based on mobile phone and taxicab usages

    Chaogui Kang;Stanislav Sobolevsky;Yu Liu;Carlo Ratti

  • Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns

    Fan Zhang;Lun Wu;Di Zhu;Di Zhu;Yu Liu

  • Understanding Place Characteristics in Geographic Contexts through Graph Convolutional Neural Networks

    Di Zhu;Fan Zhang;Fan Zhang;Shengyin Wang;Yaoli Wang

  • Towards Estimating Urban Population Distributions from Mobile Call Data

    Chaogui Kang;Yu Liu;Xiujun Ma;Lun Wu

  • Analyzing and geo-visualizing individual human mobility patterns using mobile call records

    Chaogui Kang;Song Gao;Xing Lin;Yu Xiao

  • Difference of urban development in China from the perspective of passenger transport around Spring Festival

    Jun Xu;Aoyong Li;Dong Li;Yu Liu

  • Pervasive location acquisition technologies: Opportunities and challenges for geospatial studies

    Yongmei Lu;Yu Liu

  • Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks

    Xin Yao;Yong Gao;Di Zhu;Ed Manley

Frequent Co-Authors

Song Gao
Song Gao University of Wisconsin–Madison
Qinghua Guo
Qinghua Guo Chinese Academy of Sciences
Fahui Wang
Fahui Wang Louisiana State University
Hui Lin
Hui Lin Jiangxi Normal University
Xinyue Ye
Xinyue Ye Texas A&M University
Mei-Po Kwan
Mei-Po Kwan Chinese University of Hong Kong
Martin Raubal
Martin Raubal ETH Zurich
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Tom K. Hei
Tom K. Hei Columbia University

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