World's Best Scientists 2026 revealed!
Jianguo Xiao

Jianguo Xiao

D-Index & Metrics

Computer Science

D-Index
31
Citations
5116
World Ranking
13518
National Ranking
1650

Jianguo Xiao 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 Jianguo Xiao 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: 139 publications — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Jianguo Xiao 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 Jianguo Xiao 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: 31 D-Index — 6th percentile

6% of scientists in this discipline score the same or lower.

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

Overview

Jianguo Xiao is affiliated with Peking University in China and works primarily in the fields of Medicine and Computer Science. Their research spans several subfields, including Radiology, Nuclear Medicine and Imaging, Immunology, Ecology, Computational Mechanics, and Computer Graphics and Computer-Aided Design.

The scientist's work covers a range of topics reflecting interdisciplinary engagement, including:

  • Monoclonal and Polyclonal Antibodies Research
  • Toxin Mechanisms and Immunotoxins
  • Bacteriophages and microbial interactions
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Protein purification and stability

Jianguo Xiao has contributed to several publication venues, highlighting the diversity of their research domains:

  • Journal of Immunological Methods
  • Multimedia Tools and Applications
  • Chromatographia
  • World Neurosurgery
  • PLoS ONE

The following is a selection of recent papers authored or co-authored by Jianguo Xiao, indicating the scope and breadth of their research contributions:

  • The generation of a novel HER2-targeting nano PE25 immunotoxin with superior anti-tumor activity and high productivity, 2025, Journal of Immunological Methods
  • Letter to the Editor Regarding "Radiosurgery for Benign Vertebral Body Hemangiomas of the Spine: A Systematic Review and Meta-Analysis", 2022, World Neurosurgery
  • Sketch based modeling and editing via shape space exploration, 2020, Multimedia Tools and Applications

Jianguo Xiao frequently collaborates with a network of co-authors, which includes:

  • Xianfei Chen
  • Yibin Wan
  • Zhenhua Guo
  • Xiu Bao Ren
  • Haomin Huang

This professional network and range of publication venues reflect a cross-disciplinary approach combining computational techniques with biological and medical applications. The scientist's research topics align with both theoretical and applied aspects of their fields, involving complex biological systems, immunotoxin development, and advanced modeling methods.

Best Publications

  • Single document keyphrase extraction using neighborhood knowledge

    Xiaojun Wan;Jianguo Xiao

  • Abstractive Document Summarization with a Graph-Based Attentional Neural Model

    Jiwei Tan;Xiaojun Wan;Jianguo Xiao

  • Manifold-ranking based topic-focused multi-document summarization

    Xiaojun Wan;Jianwu Yang;Jianguo Xiao

  • Learning Cross-Media Joint Representation With Sparse and Semisupervised Regularization

    Xiaohua Zhai;Yuxin Peng;Jianguo Xiao

  • Attention-based LSTM Network for Cross-Lingual Sentiment Classification

    Xinjie Zhou;Xiaojun Wan;Jianguo Xiao

  • Towards an Iterative Reinforcement Approach for Simultaneous Document Summarization and Keyword Extraction

    Xiaojun Wan;Jianwu Yang;Jianguo Xiao

  • CollabRank: Towards a Collaborative Approach to Single-Document Keyphrase Extraction

    Xiaojun Wan;Jianguo Xiao

  • Recent advances in document summarization

    Jin-Ge Yao;Xiaojun Wan;Jianguo Xiao

  • Heterogeneous metric learning with joint graph regularization for cross-media retrieval

    Xiaohua Zhai;Yuxin Peng;Jianguo Xiao

  • Exploiting neighborhood knowledge for single document summarization and keyphrase extraction

    Xiaojun Wan;Jianguo Xiao

  • Cross-Lingual Sentiment Classification with Bilingual Document Representation Learning

    Xinjie Zhou;Xiaojun Wan;Jianguo Xiao

  • Cross-Language Document Summarization Based on Machine Translation Quality Prediction

    Xiaojun Wan;Huiying Li;Jianguo Xiao

  • DCFont: an end-to-end deep chinese font generation system

    Yue Jiang;Zhouhui Lian;Yingmin Tang;Jianguo Xiao

  • SCFont: Structure-Guided Chinese Font Generation via Deep Stacked Networks

    Yue Jiang;Zhouhui Lian;Yingmin Tang;Jianguo Xiao

  • From neural sentence summarization to headline generation: a coarse-to-fine approach

    Jiwei Tan;Xiaojun Wan;Jianguo Xiao

  • Representation learning for aspect category detection in online reviews

    Xinjie Zhou;Xiaojun Wan;Jianguo Xiao

  • Improving option price forecasts with neural networks and support vector regressions

    Xun Liang;Haisheng Zhang;Jianguo Xiao;Ying Chen

  • Artistic glyph image synthesis via one-stage few-shot learning

    Yue Gao;Yuan Guo;Zhouhui Lian;Yingmin Tang

  • Graph-based multi-modality learning for topic-focused multi-document summarization

    Xiaojun Wan;Jianguo Xiao

  • SRINet: Learning Strictly Rotation-Invariant Representations for Point Cloud Classification and Segmentation

    Xiao Sun;Zhouhui Lian;Jianguo Xiao

  • Automatic generation of large-scale handwriting fonts via style learning

    Zhouhui Lian;Bo Zhao;Jianguo Xiao

Frequent Co-Authors

Xiaojun Wan
Xiaojun Wan Peking University
Yuxin Peng
Yuxin Peng Peking University
Xiaohua Zhai
Xiaohua Zhai Google (United States)
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University
Paul L. Rosin
Paul L. Rosin Cardiff University
Wayne Xin Zhao
Wayne Xin Zhao Renmin University of China

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