World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
66
Citations
20658
World Ranking
2294
National Ranking
315

Liwei Wang 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 Liwei Wang 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Liwei Wang 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 Liwei Wang 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: 66 D-Index — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Overview

Liwei Wang is a researcher affiliated with Peking University in China, specializing primarily in the field of Engineering. Their work spans several subfields including Mechanical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment, and Civil and Structural Engineering.

Their research topics cover a range of specialized areas such as:

  • Adsorption and Cooling Systems
  • Phase Change Materials Research
  • Refrigeration and Air Conditioning Technologies
  • Thermodynamic and Exergetic Analyses of Power and Cooling Systems
  • Carbon Dioxide Capture Technologies
  • Advanced Battery Technologies Research
  • Solar-Powered Water Purification Methods

Liwei Wang has coauthored multiple publications with several frequent collaborators including Guoliang An, Chen Zhang, Shaofei Wu, Xinqi Zhang, and Ting Yan.

Their recent scholarly contributions include:

  • Deep generative modeling for mechanistic-based learning and design of metamaterial systems, 2020, published in Computer Methods in Applied Mechanics and Engineering
  • Data-Driven Topology Optimization With Multiclass Microstructures Using Latent Variable Gaussian Process, 2020, published in Journal of Mechanical Design

In addition to these, the most cited related works in the dataset highlight developments in 3D point cloud segmentation and materials science:

  • Stratified Transformer for 3D Point Cloud Segmentation, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Dissolution kinetics of the sulfide-oxide complex inclusion and resulting localized corrosion mechanism of X70 steel in deaerated acidic environment, 2020, Corrosion Science
  • High-performance cellulose nanofiber-derived composite films for efficient thermal management of flexible electronic devices, 2022, Chemical Engineering Journal

Liwei Wang has also contributed to book publications, notably with Springer Nature: Property and Energy Conversion Technology of Solid Composite Sorbents (2021).

Their research has been disseminated in several publication venues, most notably:

  • Applied Thermal Engineering
  • arXiv (Cornell University)
  • Chemical Engineering Journal
  • Energy
  • Energy Conversion and Management

Best Publications

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • Multi-scale Orderless Pooling of Deep Convolutional Activation Features

    Yunchao Gong;Liwei Wang;Ruiqi Guo;Svetlana Lazebnik

  • RepPoints: Point Set Representation for Object Detection

    Ze Yang;Shaohui Liu;Han Hu;Liwei Wang

  • Learning Deep Structure-Preserving Image-Text Embeddings

    Liwei Wang;Yin Li;Svetlana Lazebnik

  • On the Euclidean distance of images

    Liwei Wang;Yan Zhang;Jufu Feng

  • Dual learning for machine translation

    Di He;Yingce Xia;Tao Qin;Liwei Wang

  • The expressive power of neural networks: a view from the width

    Zhou Lu;Hongming Pu;Feicheng Wang;Zhiqiang Hu

  • Gradient descent finds global minima of deep neural networks

    Simon S. Du;Jason D. Lee;Haochuan Li;Liwei Wang

  • Learning to Navigate for Fine-grained Classification

    Ze Yang;Tiange Luo;Dong Wang;Zhiqiang Hu

  • Bayesian face revisited: a joint formulation

    Dong Chen;Xudong Cao;Liwei Wang;Fang Wen

  • Learning Two-Branch Neural Networks for Image-Text Matching Tasks

    Liwei Wang;Yin Li;Jing Huang;Svetlana Lazebnik

  • A Fast and Accurate One-Stage Approach to Visual Grounding

    Zhengyuan Yang;Boqing Gong;Liwei Wang;Wenbing Huang

  • Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

    Jia Ding;Aoxue Li;Zhiqiang Hu;Liwei Wang

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • On Layer Normalization in the Transformer Architecture

    Ruibin Xiong;Yunchang Yang;Di He;Kai Zheng

  • Dual Learning for Machine Translation

    Yingce Xia;Di He;Tao Qin;Liwei Wang

  • Memory Enhanced Global-Local Aggregation for Video Object Detection

    Yihong Chen;Yue Cao;Han Hu;Liwei Wang

  • Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

    Yunchao Gong;Liwei Wang;Micah Hodosh;Julia Hockenmaier

  • A Theoretical Analysis of NDCG Type Ranking Measures

    Yining Wang;Liwei Wang;Yuanzhi Li;Di He

  • Semi-Supervised Learning

    Xueyuan Zhou;Mikhail Belkin

  • A Theoretical Analysis of NDCG Type Ranking Measures

    Yining Wang;Liwei Wang;Yuanzhi Li;Di He

Frequent Co-Authors

Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Han Hu
Han Hu Microsoft Research Asia (China)
John E. Hopcroft
John E. Hopcroft Cornell University
Tao Qin
Tao Qin Microsoft (United States)
Yin Li
Yin Li Chinese Academy of Sciences
Ji-Rong Wen
Ji-Rong Wen Renmin University of China
Wei Chen
Wei Chen Zhejiang University
Alexander G. Schwing
Alexander G. Schwing University of Illinois at Urbana-Champaign

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