World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
6708
World Ranking
6945
National Ranking
3036

Qiang 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 Qiang 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: 155 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Qiang 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 Qiang 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Qiang Liu is affiliated with The University of Texas at Austin in the United States. Their research spans multiple fields including Computer Science and Engineering, with a particular focus on subfields such as Artificial Intelligence, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Aerospace Engineering, and Control and Systems Engineering.

Their research topics cover a diverse range with notable emphasis on Robotics and Sensor-Based Localization, Topic Modeling, Robotic Path Planning Algorithms, Neural and Behavioral Psychology Studies, Natural Language Processing Techniques, Advanced Neural Network Applications, and 3D Surveying and Cultural Heritage.

Qiang Liu has contributed extensively to several publication venues. The most frequent include:

  • arXiv (Cornell University)
  • Journal of Vision
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Evidence-Based Mental Health
  • The British Journal of Psychiatry

Recent papers by Qiang Liu or associated with their research include:

  • Language Is Not All You Need: Aligning Perception with Language Models, 2023, arXiv (Cornell University)
  • AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • LLM+P: Empowering Large Language Models with Optimal Planning Proficiency, 2023, arXiv (Cornell University)
  • Natural language processing for structuring clinical text data on depression using UK-CRIS, 2020, Evidence-Based Mental Health
  • Personalised treatment for cognitive impairment in dementia: development and validation of an artificial intelligence model, 2022, BMC Medicine

Frequent coauthors who collaborate with Qiang Liu include:

  • Alejo Nevado-Holgado
  • Xunyu Zhong
  • Andrey Kormilitzin
  • Xungao Zhong
  • Nemanja Vaci

Best Publications

  • Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

    Qiang Liu;Dilin Wang

  • Variational Inference for Crowdsourcing

    Qiang Liu;Jian Peng;Alex T Ihler

  • Language Is Not All You Need: Aligning Perception with Language Models

    Unknown

  • A kernelized stein discrepancy for goodness-of-fit tests

    Qiang Liu;Jason D. Lee;Michael Jordan

  • Breaking the curse of horizon: Infinite-horizon off-policy estimation

    Qiang Liu;Lihong Li;Ziyang Tang;Dengyong Zhou

  • Stein Variational Gradient Descent as Gradient Flow

    Qiang Liu

  • Communication-efficient sparse regression

    Jason D. Lee;Qiang Liu;Yuekai Sun;Jonathan E. Taylor

  • Practical Human Sensing in the Light

    Tianxing Li;Qiang Liu;Xia Zhou

  • KeepAugment: A Simple Information-Preserving Data Augmentation Approach

    Chengyue Gong;Dilin Wang;Meng Li;Vikas Chandra

  • Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

    Dilin Wang;Qiang Liu

  • Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy

    Dengyong Zhou;Qiang Liu;John Platt;Christopher Meek

  • An Optimization View on Dynamic Routing Between Capsules

    Dilin Wang;Qiang Liu

  • Conflict-Averse Gradient Descent for Multi-task learning

    Bo Liu;Xingchao Liu;Xiaojie Jin;Peter Stone

  • Learning Scale Free Networks by Reweighted L1 regularization

    Qiang Liu;Alexander T. Ihler

  • SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions

    Mao Ye;Chengyue Gong;Qiang Liu

  • Stein variational policy gradient

    Yang Liu;Prajit Ramachandran;Qiang Liu;Jian Peng

  • The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers

    Stephen M. Mattingly;Julie M. Gregg;Pino Audia;Ayse Elvan Bayraktaroglu

  • Variational algorithms for marginal MAP

    Qiang Liu;Alexander Ihler

  • Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing

    Shayan Mirjafari;Kizito Masaba;Ted Grover;Weichen Wang

  • Regularized Minimax Conditional Entropy for Crowdsourcing

    Dengyong Zhou;Qiang Liu;John C. Platt;Christopher Meek

  • Bounding the Partition Function using Holder's Inequality

    Qiang Liu;Alexander T. Ihler

  • On the Margin Theory of Feedforward Neural Networks

    Colin Wei;Jason D. Lee;Qiang Liu;Tengyu Ma

  • On the Discrimination-Generalization Tradeoff in GANs

    Pengchuan Zhang;Qiang Liu;Dengyong Zhou;Tao Xu

  • Learning to Draw Samples with Amortized Stein Variational Gradient Descent.

    Yihao Feng;Dilin Wang;Qiang Liu

Frequent Co-Authors

Jian Peng
Jian Peng University of Illinois at Urbana-Champaign
Alexander T. Ihler
Alexander T. Ihler University of California, Irvine
Dengyong Zhou
Dengyong Zhou Google (United States)
Jason D. Lee
Jason D. Lee Princeton University
Peter Stone
Peter Stone The University of Texas at Austin
Julie A. McCann
Julie A. McCann Imperial College London
Padhraic Smyth
Padhraic Smyth University of California, Irvine
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Bogi Andersen
Bogi Andersen University of California, Irvine

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 related fields can open new career opportunities for Computer Science students. Many choose to pursue data science degrees, which build on foundational computing skills and lead to roles in analytics, machine learning, and research. Graduates often find high demand across industries seeking experts in big data technologies.

Another popular path is electrical engineering. Thanks to remote learning, students can now access online electrical engineering career outcomes, ranging from design engineering to telecommunications. Such programs offer flexibility for those balancing jobs or other commitments while aiming for lucrative tech-driven roles.

Beyond full degrees, you can boost your career quickly by earning quick certifications that pay well. These certifications focus on skill areas like cybersecurity, network management, or database administration and can significantly improve job prospects in a short time.

For those eager to advance fast, consider the shortest masters degree programs online. These accelerated options provide advanced credentials without requiring lengthy commitments—helping you stand out and progress in your tech career more efficiently.

Best Scientists Citing Qiang Liu

Trending Scientists

Recently Published Articles