World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
58
Citations
11668
World Ranking
3676
National Ranking
489

Qi 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 Qi 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Qi 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 Qi Liu sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 58 D-Index — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Overview

Qi Liu is affiliated with the University of Science and Technology of China in China. Their research primarily spans the fields of Computer Science and Engineering, with significant contributions to Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Molecular Biology, and Aerospace Engineering.

Their work encompasses a range of topics including Topic Modeling, Recommender Systems and Techniques, Natural Language Processing Techniques, Advanced Graph Neural Networks, Anomaly Detection Techniques and Applications, Text and Document Classification Technologies, and Video Surveillance and Tracking Methods.

Qi Liu has been involved in publishing research in multiple venues, frequently contributing to arXiv (Cornell University), SSRN Electronic Journal, Research Square, and the Proceedings of the AAAI Conference on Artificial Intelligence. Other venues include the 2022 IEEE International Conference series covering Dependable, Autonomic and Secure Computing, Pervasive Intelligence and Computing, Cloud and Big Data Computing, and Cyber Science and Technology Congress.

Recent published papers include:

  • TiDB, 2020, Proceedings of the VLDB Endowment
  • A survey on large language models for recommendation, 2024, World Wide Web
  • Recent advances in the medical applications of hemostatic materials, 2022, Theranostics
  • Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • A blockchain-based code copyright management system, 2021, Information Processing & Management

Qi Liu has collaborated with several frequent co-authors, notably Enhong Chen, Mingyue Cheng, Zhenya Huang, Xiaodong Liu, and Rong Cao. These collaborations have been sustained across many publications, indicating ongoing research partnerships.

Best Publications

  • Time series classification using multi-channels deep convolutional neural networks

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction

    Qi Liu;Zhenya Huang;Yu Yin;Enhong Chen

  • SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

    Hongwei Wang;Fuzheng Zhang;Min Hou;Xing Xie

  • Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking

    Qi Liu;Enhong Chen;Hui Xiong;C. H. Q. Ding

  • Exploiting multi-channels deep convolutional neural networks for multivariate time series classification

    Yi Zheng;Qi Liu;Enhong Chen;Yong Ge

  • Personalized Travel Package Recommendation

    Qi Liu;Yong Ge;Zhongmou Li;Enhong Chen

  • Exercise-Enhanced Sequential Modeling for Student Performance Prediction

    Yu Su;Qingwen Liu;Qi Liu;Zhenya Huang

  • Neural Cognitive Diagnosis for Intelligent Education Systems.

    Fei Wang;Qi Liu;Enhong Chen;Zhenya Huang

  • Exploiting Cognitive Structure for Adaptive Learning

    Qi Liu;Shiwei Tong;Chuanren Liu;Hongke Zhao

  • Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors

    Zhi Li;Hongke Zhao;Qi Liu;Zhenya Huang

  • Molecular property prediction: A multilevel quantum interactions modeling perspective

    Chengqiang Lu;Qi Liu;Chao Wang;Zhenya Huang

  • MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

    Hao Wang;Tong Xu;Qi Liu;Defu Lian

  • A Cocktail Approach for Travel Package Recommendation

    Qi Liu;Enhong Chen;Hui Xiong;Yong Ge

  • Fuzzy Cognitive Diagnosis for Modelling Examinee Performance

    Qi Liu;Runze Wu;Enhong Chen;Guandong Xu

  • Cost-aware travel tour recommendation

    Yong Ge;Qi Liu;Hui Xiong;Alexander Tuzhilin

  • Learning Process-consistent Knowledge Tracing

    Shuanghong Shen;Qi Liu;Enhong Chen;Zhenya Huang

  • Motif-based Graph Self-Supervised Learning for Molecular Property Prediction

    Zaixi Zhang;Qi Liu;Hao Wang;Chengqiang Lu

  • Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process

    Shuanghong Shen;Qi Liu;Enhong Chen;Han Wu

  • Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach

    Wei Huang;Enhong Chen;Qi Liu;Yuying Chen

  • RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

    Weibo Gao;Qi Liu;Zhenya Huang;Yu Yin

  • Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services

    Le Wu;Yong Ge;Qi Liu;Enhong Chen

  • Question Difficulty Prediction for READING Problems in Standard Tests.

    Zhenya Huang;Qi Liu;Enhong Chen;Hongke Zhao

  • A SURVEY OF CONTEXT-AWARE MOBILE RECOMMENDATIONS

    Qi Liu;Haiping Ma;Enhong Chen;Hui Xiong

  • Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach

    Yang Liu;Qi Liu;Hongke Zhao;Zhen Pan

  • Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.

    Kai Zhang;Hefu Zhang;Qi Liu;Hongke Zhao

  • ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction

    Zhongkai Hao;Chengqiang Lu;Zhenya Huang;Hao Wang

  • Exploiting Multi-Channels Deep Convolutional Neural Networks for Multivariate Time Series

    Yong Ge;Qi Liu;Enhong Chen;J. Leon Zhao

Frequent Co-Authors

Enhong Chen
Enhong Chen University of Science and Technology of China
Hui Xiong
Hui Xiong Rutgers, The State University of New Jersey
Yong Ge
Yong Ge University of Arizona
Defu Lian
Defu Lian University of Science and Technology of China
Xing Xie
Xing Xie Microsoft Research Asia (China)
Feida Zhu
Feida Zhu Singapore Management University
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
J. Leon Zhao
J. Leon Zhao Chinese University of Hong Kong, Shenzhen
Nicholas Jing Yuan
Nicholas Jing Yuan Microsoft (United States)
Alexander Tuzhilin
Alexander Tuzhilin New York University

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