| Discipline name | D-Index | World Ranking | Current World Ranking | National Ranking | Current National Ranking | Publications | Citations |
|---|---|---|---|---|---|---|---|
| Computer Science | 55 | 4359 | 4237 | 581 | 578 | 257 | 10635 |
The chart shows the history of publications by Ligang Liu between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ligang Liu published across 27 years, from 1999 to 2025, averaging 13.4 papers a year. Output peaked at 45 publications in 2025. 71 of the 361 publications appeared in the last two years.
361 publications in total across all disciplines
| Year | Publications |
|---|---|
| 1999 | 1 |
| 2000 | 1 |
| 2001 | 0 |
| 2002 | 4 |
| 2003 | 1 |
| 2004 | 1 |
| 2005 | 6 |
| 2006 | 6 |
| 2007 | 6 |
| 2008 | 2 |
| 2009 | 5 |
| 2010 | 15 |
| 2011 | 9 |
| 2012 | 12 |
| 2013 | 12 |
| 2014 | 21 |
| 2015 | 15 |
| 2016 | 16 |
| 2017 | 16 |
| 2018 | 17 |
| 2019 | 22 |
| 2020 | 16 |
| 2021 | 29 |
| 2022 | 23 |
| 2023 | 34 |
| 2024 | 26 |
| 2025 | 45 |
| Total | 361 |
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 Ligang Liu sits on this spectrum.
This scientist: 257 publications — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
| 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 | 257 |
| 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 |
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 Ligang Liu sits on this spectrum.
This scientist: 55 D-Index — 71st percentile
71% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
| 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 | 55 |
| 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 |
Ligang Liu is affiliated with the University of Science and Technology of China in China. Their research spans multiple disciplines, with a primary focus on engineering and computer science. This work encompasses a substantial body of publications emphasizing computational mechanics, computer vision and pattern recognition, as well as computer graphics and computer-aided design.
The scientist's prominent subfields of study include:
Their research covers several main topics, reflecting the breadth and depth of their academic contributions:
Ligang Liu has published extensively in notable venues, with frequent contributions to:
Their collaborative work involves several frequent co-authors, indicating ongoing research partnerships. Key collaborators include:
Among recent publications, these papers illustrate their research scope:
In addition to articles, Ligang Liu has contributed to book publications, including the recent title:
Jing Tong;Jin Zhou;Ligang Liu;Zhigeng Pan
Ligang Liu;Lei Zhang;Yin Xu;Craig Gotsman
Xin Tong;Jingdan Zhang;Ligang Liu;Xi Wang
Ligang Liu;Renjie Chen;Lior Wolf;Daniel Cohen-Or
Weiming Wang;Tuanfeng Y. Wang;Zhouwang Yang;Ligang Liu
Unknown
Wenming Wu;Xiao-Ming Fu;Rui Tang;Yuhan Wang
Shizhe Zhou;Hongbo Fu;Ligang Liu;Daniel Cohen-Or
Wangyu Zhang;Bailin Deng;Bailin Deng;Juyong Zhang;Sofien Bouaziz
Ruizhen Hu;Lubin Fan;Ligang Liu
Yiqun Lin;Zizheng Yan;Haibin Huang;Dong Du
Zhongping Ji;Ligang Liu;Zhonggui Chen;Guojin Wang
Hui Lin;Jizhou Gao;Yu Zhou;Guiliang Lu
Luo Jiang;Juyong Zhang;Bailin Deng;Hao Li
Yanzhen Wang;Yanzhen Wang;Kai Xu;Kai Xu;Jun Li;Hao Zhang
Boyi Jiang;Juyong Zhang;Yang Hong;Jinhao Luo
Kai Xu;Hao Zhang;Andrea Tagliasacchi;Ligang Liu
O.K.-C. Au;C.L. Tai;L. Liu;H. Fu
Peng Song;Zhongqi Fu;Ligang Liu;Chi-Wing Fu
Kai Xu;Hanlin Zheng;Hao Zhang;Daniel Cohen-Or
Ruimin Wang;Zhouwang Yang;Ligang Liu;Jiansong Deng
Weiming Wang;Haiyuan Chao;Jing Tong;Zhouwang Yang
If you think any of the details on this page are incorrect, let us know.
Exploring online education can open doors to many high-demand tech careers. For students interested in engineering, pursuing an online electrical engineering degree ranking offers a look at top programs available across the USA. These flexible programs prepare graduates for evolving roles in the technology sector.
Some may prefer faster options. Choosing from the fastest masters degree online allows students to earn qualifications in less time, advancing careers swiftly. Others can benefit from earning quick certifications that pay well, which can be a practical, cost-effective way to upskill and boost employability.
For those wondering about long-term prospects, it’s useful to consider which master's degree is most in demand in usa. This can help guide your educational choices and align your studies with the current needs of the job market, maximizing opportunities after graduation.
Oak Ridge National Laboratory
University of Montpellier
Czech Academy of Sciences
Kansas State University
Sapienza University of Rome
Technical University of Denmark
Imperial College London
Amazon (United States)
Cleveland Clinic Lerner College of Medicine
University of Calgary
Peking University
Ikorongo Technology
Tel Aviv University
Institute of Science and Technology Austria
Columbia University
Thomas Jefferson University