World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
11262
World Ranking
10979
National Ranking
1357

Gui-Rong Xue publications per year

2002: 1 publications 2003: 1 publications 2004: 11 publications 2005: 11 publications 2006: 11 publications 2007: 7 publications 2008: 14 publications 2009: 12 publications 2010: 7 publications 2011: 5 publications 2012: 4 publications 2013: 0 publications 2014: 1 publications 2015: 1 publications 2016: 0 publications 2017: 0 publications 2018: 0 publications 2019: 0 publications 2020: 0 publications 2021: 0 publications 2022: 0 publications 2023: 0 publications 2024: 0 publications 2025: 3 publications
2002 2025

89 publications in total across all disciplines

Gui-Rong Xue publication distribution in Computer Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2027. The highlighted bar marks where Gui-Rong Xue 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Gui-Rong Xue D-index placement in Computer Science in 2027

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2027. The highlighted bar marks where Gui-Rong Xue 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Gui-Rong Xue is affiliated with Alibaba Group in China. Their research spans multiple disciplines, primarily within biochemistry, genetics, molecular biology, medicine, and engineering.

The main fields of study covered by Gui-Rong Xue include:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine
  • Engineering

The scientist's subfields of study highlight a focus on epidemiology, molecular biology, ecology, building and construction, and artificial intelligence.

  • Epidemiology
  • Molecular Biology
  • Ecology
  • Building and Construction
  • Artificial Intelligence

Gui-Rong Xue's research emphasizes several key topics, including:

  • Influenza Virus Research Studies
  • Respiratory viral infections research
  • Bacteriophages and microbial interactions
  • Traffic Prediction and Management Techniques
  • Neural Networks and Applications
  • Traffic control and management
  • RNA modifications and cancer

Their recent papers illustrate an interdisciplinary approach blending biology and engineering:

  • "Using Artificial Intelligence to Assess Cross-Species Transmission Potential of Influenza A Virus," 2025, bioRxiv (Cold Spring Harbor Laboratory)
  • "A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction," 2025, arXiv (Cornell University)
  • "Genos: A Human-Centric Genomic Foundation Model," 2025, GigaScience

Frequent collaborators in their research include:

  • Zhaorong Li
  • Jiaying Yang
  • Pan Fang
  • Jianqiang Liang
  • Yihao Chen

Gui-Rong Xue's publications have appeared in diverse venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), and GigaScience, reflecting a multi-domain research output.

Best Publications

  • Boosting for transfer learning

    Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu

  • EigenTransfer: a unified framework for transfer learning

    Wenyuan Dai;Ou Jin;Gui-Rong Xue;Qiang Yang

  • Scalable collaborative filtering using cluster-based smoothing

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

  • Optimizing web search using social annotations

    Shenghua Bao;Guirong Xue;Xiaoyuan Wu;Yong Yu

  • Transferring naive bayes classifiers for text classification

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Co-clustering based classification for out-of-domain documents

    Wenyuan Dai;Gui-Rong Xue;Qiang Yang;Yong Yu

  • Heterogeneous transfer learning for image classification

    Yin Zhu;Yuqiang Chen;Zhongqi Lu;Sinno Jialin Pan

  • Translated Learning: Transfer Learning across Different Feature Spaces

    Wenyuan Dai;Yuqiang Chen;Gui-rong Xue;Qiang Yang

  • Optimizing web search using web click-through data

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

  • Self-taught clustering

    Wenyuan Dai;Qiang Yang;Gui-Rong Xue;Yong Yu

  • Topic-bridged PLSA for cross-domain text classification

    Gui-Rong Xue;Wenyuan Dai;Qiang Yang;Yong Yu

  • Deep classification in large-scale text hierarchies

    Gui-Rong Xue;Dikan Xing;Qiang Yang;Yong Yu

  • Spectral domain-transfer learning

    Xiao Ling;Wenyuan Dai;Gui-Rong Xue;Qiang Yang

  • Heterogeneous Transfer Learning for Image Clustering via the SocialWeb

    Qiang Yang;Yuqiang Chen;Gui-Rong Xue;Wenyuan Dai

  • Enhancing diversity, coverage and balance for summarization through structure learning

    Liangda Li;Ke Zhou;Gui-Rong Xue;Hongyuan Zha

  • Can chinese web pages be classified with english data source

    Xiao Ling;Gui-Rong Xue;Wenyuan Dai;Yun Jiang

  • Search engine enhancement using mined implicit links

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

  • Advertising keyword suggestion based on concept hierarchy

    Yifan Chen;Gui-Rong Xue;Yong Yu

  • 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

Frequent Co-Authors

Yong Yu
Yong Yu Shanghai Jiao Tong University
Zheng Chen
Zheng Chen Microsoft Research Asia (China)
Hua-Jun Zeng
Hua-Jun Zeng Rulai, Inc.
Qiang Yang
Qiang Yang Hong Kong University of Science and Technology
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Benyu Zhang
Benyu Zhang Ant Group
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Juanzi Li
Juanzi Li Tsinghua University
Jie Tang
Jie Tang Tsinghua University
Yi Chang
Yi Chang Jilin University

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