World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
9843
World Ranking
7126
National Ranking
227

Lingqiao Liu publications per year

2008: 2 publications 2009: 0 publications 2010: 0 publications 2011: 4 publications 2012: 2 publications 2013: 5 publications 2014: 8 publications 2015: 7 publications 2016: 10 publications 2017: 18 publications 2018: 6 publications 2019: 20 publications 2020: 18 publications 2021: 16 publications 2022: 31 publications 2023: 30 publications 2024: 31 publications 2025: 25 publications
2008 2025

233 publications in total across all disciplines

Lingqiao Liu publication distribution in Computer Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Lingqiao Liu sits on this spectrum.

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 publications 991+

This scientist: 147 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Lingqiao Liu D-index placement in Computer Science in 2027

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Lingqiao Liu sits on this spectrum.

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 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Lingqiao Liu is affiliated with the University of Adelaide in Australia and contributes extensively to the field of computer science, focusing particularly on artificial intelligence and computer vision. Their research spans several subfields including radiology, nuclear medicine and imaging, media technology, and biomedical engineering.

The scientist's work covers a range of main research topics such as domain adaptation and few-shot learning, topic modeling, multimodal machine learning applications, advanced neural network applications, video surveillance and tracking methods, natural language processing techniques, and advanced image and video retrieval techniques.

Frequent co-authors of Lingqiao Liu include:

  • Luping Zhou
  • Yinjie Lei
  • Peng Wang
  • Yanning Zhang
  • Zhanyu Wang

Lingqiao Liu has published primarily in venues known for computer vision and neural networks, with notable frequent publication venues including:

  • arXiv (Cornell University)
  • Pattern Recognition
  • IEEE Transactions on Neural Networks and Learning Systems
  • Meta-Radiology
  • International Journal of Computer Vision

Among recent papers authored or co-authored by Lingqiao Liu are:

  • Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A Biomimetic Polymer Magnetic Nanocarrier Polarizing Tumor-Associated Macrophages for Potentiating Immunotherapy, 2020, Small
  • Towards using count-level weak supervision for crowd counting, 2020, Pattern Recognition
  • R2GenGPT: Radiology Report Generation with frozen LLMs, 2023, Meta-Radiology

Best Publications

  • Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection

    Dong Gong;Lingqiao Liu;Vuong Le;Budhaditya Saha

  • In defense of soft-assignment coding

    Lingqiao Liu;Lei Wang;Xinwang Liu

  • What Value Do Explicit High Level Concepts Have in Vision to Language Problems

    Qi Wu;Chunhua Shen;Lingqiao Liu;Anthony Dick

  • From Motion Blur to Motion Flow: A Deep Learning Solution for Removing Heterogeneous Motion Blur

    Dong Gong;Jie Yang;Lingqiao Liu;Yanning Zhang

  • Graph-Structured Representations for Visual Question Answering

    Damien Teney;Lingqiao Liu;Anton van den Hengel

  • Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation

    Yu Chen;Chunhua Shen;Xiu-Shen Wei;Lingqiao Liu

  • Deep learning features at scale for visual place recognition

    Zetao Chen;Adam Jacobson;Niko Sunderhauf;Ben Upcroft

  • Towards Effective Low-Bitwidth Convolutional Neural Networks

    Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

  • The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification

    Lingqiao Liu;Chunhua Shen;Anton van den Hengel

  • ZegCLIP: Towards Adapting CLIP for Zero-shot Semantic Segmentation

    Unknown

  • Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression

    Ruizhi Qiao;Lingqiao Liu;Chunhua Shen;Anton van den Hengel

  • Seeing Deeply and Bidirectionally: A Deep Learning Approach for Single Image Reflection Removal

    Jie Yang;Dong Gong;Lingqiao Liu;Qinfeng Shi

  • Towards Context-Aware Interaction Recognition for Visual Relationship Detection

    Bohan Zhuang;Lingqiao Liu;Chunhua Shen;Ian Reid

  • Structured Binary Neural Networks for Accurate Image Classification and Semantic Segmentation

    Bohan Zhuang;Chunhua Shen;Mingkui Tan;Lingqiao Liu

  • Temporal Pyramid Pooling-Based Convolutional Neural Network for Action Recognition

    Peng Wang;Yuanzhouhan Cao;Chunhua Shen;Lingqiao Liu

  • Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples

    Xiu-Shen Wei;Peng Wang;Lingqiao Liu;Chunhua Shen

  • Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection.

    Yingjie Zhou;Xucheng Song;Yanru Zhang;Fanxing Liu

  • Mid-level deep pattern mining

    Yao Li;Lingqiao Liu;Chunhua Shen;Anton van den Hengel

  • METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens

    Unknown

  • RPC: A Large-Scale Retail Product Checkout Dataset.

    Xiu-Shen Wei;Quan Cui;Lei Yang;Peng Wang

  • Learning Context Flexible Attention Model for Long-Term Visual Place Recognition

    Zetao Chen;Lingqiao Liu;Inkyu Sa;Zongyuan Ge

  • Multi-attention Network for One Shot Learning

    Peng Wang;Lingqiao Liu;Chunhua Shen;Zi Huang

  • Towards Context-aware Interaction Recognition

    Bohan Zhuang;Lingqiao Liu;Chunhua Shen;Ian D. Reid

Frequent Co-Authors

Chunhua Shen
Chunhua Shen Zhejiang University
Anton van den Hengel
Anton van den Hengel University of Adelaide
Ian Reid
Ian Reid University of Adelaide
Lei Wang
Lei Wang University of Wollongong
Mingkui Tan
Mingkui Tan South China University of Technology
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Xiu-Shen Wei
Xiu-Shen Wei Southeast University
Qinfeng Shi
Qinfeng Shi University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University
Lei Zhang
Lei Zhang Hong Kong Polytechnic University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens up numerous online degree options and career pathways. Many programs now offer flexible and affordable options, making education accessible regardless of your background. For instance, there are online schools that accept low gpa, providing opportunities for students with varied academic histories to pursue their passion for technology.

If you seek a fast-track approach, consider enrolling in a online computer science degree that allows you to complete your coursework more quickly than traditional programs. These pathways cater to students eager to transition into high-demand tech jobs efficiently.

Career opportunities also overlap with related fields such as environmental science and engineering. An environmental science degree equips graduates for roles in sustainability, data analysis, and research, sometimes intersecting with computing. Similarly, becoming an environmental engineer is possible with a environmental engineer degree online, combining technology and environmental solutions.

Best Scientists Citing Lingqiao Liu

Trending Scientists

Recently Published Articles