World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
28799
World Ranking
1388
National Ranking
188

Liqiang Nie 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 Liqiang Nie 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: 353 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Liqiang Nie 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 Liqiang Nie 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: 75 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

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

Overview

Liqiang Nie is affiliated with Shandong University in China and has a considerable body of work primarily in the field of Computer Science. Their research output spans key subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computational Mechanics, and Signal Processing.

Their scholarly contributions focus on a range of topics such as Multimodal Machine Learning Applications, Topic Modeling, Advanced Image and Video Retrieval Techniques, Recommender Systems and Techniques, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, and Natural Language Processing Techniques.

Some of the recent papers authored by or involving Liqiang Nie include:

  • DualGNN: Dual Graph Neural Network for Multimedia Recommendation, 2021, IEEE Transactions on Multimedia
  • HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification, 2021, ACM Transactions on Information Systems
  • BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing, 2020, IEEE Transactions on Knowledge and Data Engineering
  • A Survey of Knowledge Enhanced Pre-Trained Language Models, 2023, IEEE Transactions on Knowledge and Data Engineering
  • Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Liqiang Nie frequently collaborates with other researchers, with notable coauthors including Xuemeng Song, Weili Guan, Zhiyong Cheng, Yinwei Wei, and Mohan Kankanhalli.

The predominant venues where Liqiang Nie's work has been published include:

  • arXiv (Cornell University)
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Knowledge and Data Engineering
  • ACM Transactions on Information Systems
  • ACM Transactions on Multimedia Computing Communications and Applications

In addition to journal and conference publications, Liqiang Nie has authored books published by Morgan & Claypool Publishers. These include:

  • Compatibility Modeling (2020)
  • Graph Learning for Fashion Compatibility Modeling (2022)
  • Advanced Multimodal Compatibility Modeling and Recommendation (expected 2025)

Best Publications

  • Neural Collaborative Filtering

    Xiangnan He;Lizi Liao;Hanwang Zhang;Liqiang Nie

  • SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning

    Long Chen;Hanwang Zhang;Jun Xiao;Liqiang Nie

  • Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention

    Jingyuan Chen;Hanwang Zhang;Xiangnan He;Liqiang Nie

  • From action to activity

    Ye Liu;Liqiang Nie;Li Liu;David S. Rosenblum

  • MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • Depression detection via harvesting social media: a multimodal dictionary learning solution

    Guangyao Shen;Jiang Jia;Liqiang Nie;Fuli Feng

  • Action2Activity: recognizing complex activities from sensor data

    Ye Liu;Liqiang Nie;Lei Han;Luming Zhang

  • An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition

    Minnan Luo;Xiaojun Chang;Liqiang Nie;Yi Yang

  • Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

    Yinwei Wei;Xiang Wang;Liqiang Nie;Xiangnan He

  • Contrastive Learning for Cold-Start Recommendation

    Yinwei Wei;Xiang Wang;Qi Li;Liqiang Nie

  • Attentive Moment Retrieval in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Xiangnan He

  • Interest-aware Message-Passing GCN for Recommendation

    Fan Liu;Zhiyong Cheng;Lei Zhu;Zan Gao

  • Item Silk Road: Recommending Items from Information Domains to Social Users

    Xiang Wang;Xiangnan He;Liqiang Nie;Tat-Seng Chua

  • Fortune teller: predicting your career path

    Ye Liu;Luming Zhang;Liqiang Nie;Yan Yan

  • Denoising Implicit Feedback for Recommendation

    Wenjie Wang;Fuli Feng;Xiangnan He;Liqiang Nie

  • Rank-Constrained Spectral Clustering With Flexible Embedding

    Zhihui Li;Feiping Nie;Xiaojun Chang;Liqiang Nie

  • Cross-modal Moment Localization in Videos

    Meng Liu;Xiang Wang;Liqiang Nie;Qi Tian

  • TEM: Tree-enhanced Embedding Model for Explainable Recommendation

    Xiang Wang;Xiangnan He;Fuli Feng;Liqiang Nie

  • Disease Inference from Health-Related Questions via Sparse Deep Learning

    Liqiang Nie;Meng Wang;Luming Zhang;Shuicheng Yan

  • NeuroStylist: Neural Compatibility Modeling for Clothing Matching

    Xuemeng Song;Fuli Feng;Jinhuan Liu;Zekun Li

  • Harvesting visual concepts for image search with complex queries

    Liqiang Nie;Shuicheng Yan;Meng Wang;Richang Hong

Frequent Co-Authors

Tat-Seng Chua
Tat-Seng Chua National University of Singapore
Xiangnan He
Xiangnan He University of Science and Technology of China
Zhiyong Cheng
Zhiyong Cheng Qilu University of Technology
Meng Wang
Meng Wang Hefei University of Technology
Fuli Feng
Fuli Feng University of Science and Technology of China
Richang Hong
Richang Hong Hefei University of Technology
Xin-Shun Xu
Xin-Shun Xu Shandong University
Lei Zhu
Lei Zhu Tongji University
Hanwang Zhang
Hanwang Zhang Nanyang Technological University
Mohan S. Kankanhalli
Mohan S. Kankanhalli National University of Singapore

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