World's Best Scientists 2026 revealed!
Shenghuo Zhu

Shenghuo Zhu

D-Index & Metrics

Computer Science

D-Index
53
Citations
12955
World Ranking
4768
National Ranking
637

Shenghuo Zhu 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 Shenghuo Zhu 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: 173 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

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

Shenghuo Zhu 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 Shenghuo Zhu 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: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Shenghuo Zhu is a researcher affiliated with Aibee in China, whose work primarily spans computer science and engineering disciplines. Their research focuses on areas within artificial intelligence and computational mechanics, reflecting a blend of theoretical and applied methodologies.

The main subjects of Shenghuo Zhu's scholarly contributions include:

  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Domain Adaptation and Few-Shot Learning

One of their recent publications is titled "High-dimensional model recovery from random sketched data by exploring intrinsic sparsity", published in 2020 in the journal Machine Learning. This paper examines model recovery through sparsity in the context of sketched data.

Shenghuo Zhu has collaborated frequently with several coauthors who contribute to overlapping academic interests. Notable collaborators include:

  • Tianbao Yang
  • Lijun Zhang
  • Qihang Lin
  • Rong Jin

The researcher's publications have been featured in prominent academic venues. The most cited venue in their record is:

  • Machine Learning

Overall, Shenghuo Zhu's contributions lie within broad fields such as computer science and engineering, with a more concentrated focus on artificial intelligence and computational mechanics subfields.

Best Publications

  • Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

    Hao Yu;Sen Yang;Shenghuo Zhu

  • Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Large-scale image classification: Fast feature extraction and SVM training

    Yuanqing Lin;Fengjun Lv;Shenghuo Zhu;Ming Yang

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Regionlets for Generic Object Detection

    Xiaoyu Wang;Ming Yang;Shenghuo Zhu;Yuanqing Lin

  • Community discovery using nonnegative matrix factorization

    Fei Wang;Tao Li;Xin Wang;Shenghuo Zhu

  • Combining link and content for community detection: a discriminative approach

    Tianbao Yang;Rong Jin;Yun Chi;Shenghuo Zhu

  • Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization

    Dingding Wang;Tao Li;Shenghuo Zhu;Chris Ding

  • Detecting communities and their evolutions in dynamic social networks--a Bayesian approach

    Tianbao Yang;Yun Chi;Shenghuo Zhu;Yihong Gong

  • A survey on wavelet applications in data mining

    Tao Li;Qi Li;Shenghuo Zhu;Mitsunori Ogihara

  • Analyzing communities and their evolutions in dynamic social networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Using discriminant analysis for multi-class classification: an experimental investigation

    Tao Li;Shenghuo Zhu;Mitsunori Ogihara

  • Combining content and link for classification using matrix factorization

    Shenghuo Zhu;Kai Yu;Yun Chi;Yihong Gong

  • Multi-labelled classification using maximum entropy method

    Shenghuo Zhu;Xiang Ji;Wei Xu;Yihong Gong

  • Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

    Cong Leng;Hao Li;Shenghuo Zhu;Rong Jin

  • Efficient Object Detection and Segmentation for Fine-Grained Recognition

    Anelia Angelova;Shenghuo Zhu

  • Contextual weighting for vocabulary tree based image retrieval

    Xiaoyu Wang;Ming Yang;Timothee Cour;Shenghuo Zhu

  • RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

    Qingsong Wen;Jingkun Gao;Xiaomin Song;Liang Sun

  • Fast nonparametric matrix factorization for large-scale collaborative filtering

    Kai Yu;Shenghuo Zhu;John Lafferty;Yihong Gong

  • Multi-Document Summarization using Sentence-based Topic Models

    Dingding Wang;Shenghuo Zhu;Tao Li;Yihong Gong

  • Predicting query execution time: Are optimizer cost models really unusable?

    Wentao Wu;Yun Chi;Shenghuo Zhu;J. Tatemura

Frequent Co-Authors

Rong Jin
Rong Jin Alibaba Group (China)
Yihong Gong
Yihong Gong Xi'an Jiaotong University
Tao Li
Tao Li Florida International University
Tianbao Yang
Tianbao Yang Texas A&M University
Yun Chi
Yun Chi Robinhood
Kai Yu
Kai Yu Horizon Robotics Inc.
Mitsunori Ogihara
Mitsunori Ogihara University of Miami
Yuanqing Lin
Yuanqing Lin Aibee Inc.
Belle L. Tseng
Belle L. Tseng Apple (United States)
Zhongfei Zhang
Zhongfei Zhang Binghamton University

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