World's Best Scientists 2026 revealed!
Hua-Jun Zeng

Hua-Jun Zeng

D-Index & Metrics

Computer Science

D-Index
52
Citations
10041
World Ranking
5117
National Ranking
2360

Hua-Jun Zeng 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 Hua-Jun Zeng 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: 113 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Hua-Jun Zeng 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 Hua-Jun Zeng 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Hua-Jun Zeng is affiliated with Rulai, Inc. in the United States and engages primarily in research intersecting engineering and physics. Their work spans both theoretical and applied aspects of the fields, emphasizing computational and nonlinear physical phenomena.

Their recent publications include:

  • Fractional solitons: New phenomena and exact solutions (2023, Frontiers in Physics)
  • Thermal performance of fractal metasurface and its mathematical model (2024, Thermal Science)
  • Exact solutions of a class of generalized nanofluidic models (2024, Open Physics)

Zeng's research contributions focus significantly on nonlinear wave behaviors and fractional differential equation solutions, reflecting interests in complex dynamical systems.

Main topics addressed in their work are:

  • Nonlinear Waves and Solitons
  • Fractional Differential Equations Solutions
  • Nonlinear Photonic Systems
  • Surface Modification and Superhydrophobicity
  • Fluid Dynamics Simulations and Interactions
  • Adhesion, Friction, and Surface Interactions
  • Lattice Boltzmann Simulation Studies

Zeng's studies align with several subfields, including computational mechanics and statistical and nonlinear physics. Their expertise extends into modeling and simulation, as well as investigations into surfaces, coatings, films, and materials mechanics.

Frequent coauthors appearing in their publications are:

  • Yu-Xia Wang
  • Min Xiao
  • Ying Wang
  • Abdulrahman Ali Alsolami
  • Ji-Huan He

Key venues for Zeng's research dissemination include:

  • Frontiers in Physics
  • Thermal Science
  • Open Physics

This profile presents an overview of Hua-Jun Zeng's academic contributions characterized by interdisciplinary approaches in engineering and physics, with a distinctive focus on nonlinear phenomena, fractal and fractional mathematics, and nanofluidic system modeling.

Best Publications

  • Scalable collaborative filtering using cluster-based smoothing

    Gui-Rong Xue;Chenxi Lin;Qiang Yang;WenSi Xi

  • Learning to cluster web search results

    Hua-Jun Zeng;Qi-Cai He;Zheng Chen;Wei-Ying Ma

  • CubeSVD: a novel approach to personalized Web search

    Jian-Tao Sun;Hua-Jun Zeng;Huan Liu;Yuchang Lu

  • Demographic prediction based on user's browsing behavior

    Jian Hu;Hua-Jun Zeng;Hua Li;Cheng Niu

  • Support vector machines classification with a very large-scale taxonomy

    Tie-Yan Liu;Yiming Yang;Hao Wan;Hua-Jun Zeng

  • Optimizing web search using web click-through data

    Gui-Rong Xue;Hua-Jun Zeng;Zheng Chen;Yong Yu

  • Web-page classification through summarization

    Dou Shen;Zheng Chen;Qiang Yang;Hua-Jun Zeng

  • Enhancing text clustering by leveraging Wikipedia semantics

    Jian Hu;Lujun Fang;Yang Cao;Hua-Jun Zeng

  • Method and computing device used for identifying item relative to content of Web site

    Zheng Chen;Li Li;Ying Li;Tarek Najm

  • Query-based snippet clustering for search result grouping

    Hua-Jun Zeng;Qicai He;Guimei Liu;Zheng Chen

  • Using Wikipedia knowledge to improve text classification

    Pu Wang;Jian Hu;Hua-Jun Zeng;Zheng Chen

  • Identifying influential persons in a social network

    Dong Zhuang;Benyu Zhang;Heng Zhang;Jeremy Tantrum

  • METHOD AND SYSTEM FOR DETECTING TIME WHEN OUTGOING COMMUNICATION INCLUDES SPECIFIED CONTENT

    Zhang Benyu;Zeng Hua-Jun;Ma Wei-Ying;Chen Zheng

  • Reinforced clustering of multi-type data objects for search term suggestion

    Hua-Jun Zeng;Benyu Zhang;Zheng Chen;Wei-Ying Ma

  • ReCoM: reinforcement clustering of multi-type interrelated data objects

    Jidong Wang;Huajun Zeng;Zheng Chen;Hongjun Lu

  • Web-page summarization using clickthrough data

    Jian-Tao Sun;Dou Shen;Hua-Jun Zeng;Qiang Yang

  • System and method for utilizing the content of audio/video files to select advertising content for display

    Ying Li;Li Li;Tarek Najm;Hongbin Gao

  • Search engine enhancement using mined implicit links

    Hua-Jun Zeng;Gui-Rong Xue;Zheng Chen;Wei-Ying Ma

  • Exploiting the hierarchical structure for link analysis

    Gui-Rong Xue;Qiang Yang;Hua-Jun Zeng;Yong Yu

  • Implicit link analysis for small web search

    Gui-Rong Xue;Hua-Jun Zeng;Zheng Chen;Wei-Ying Ma

  • LCQMC:A Large-scale Chinese Question Matching Corpus

    Xin Liu;Qingcai Chen;Chong Deng;Huajun Zeng

Frequent Co-Authors

Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Benyu Zhang
Benyu Zhang Ant Group
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Gui-Rong Xue
Gui-Rong Xue Alibaba Group (China)
Ying Li
Ying Li Microsoft (United States)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Jian-Tao Sun
Jian-Tao Sun Microsoft (United States)
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Xuanhui Wang
Xuanhui Wang Google (United States)
Tie-Yan Liu
Tie-Yan Liu Microsoft (United States)

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