World's Best Scientists 2026 revealed!
Xing-Ming Zhao

Xing-Ming Zhao

D-Index & Metrics

Computer Science

D-Index
45
Citations
6864
World Ranking
7298
National Ranking
968

Xing-Ming Zhao 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 Xing-Ming Zhao 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Xing-Ming Zhao 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 Xing-Ming Zhao 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: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

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

Overview

Xing-Ming Zhao is affiliated with Fudan University in China. Their research spans multiple domains within biochemistry, genetics, molecular biology, and medicine, with a strong focus on molecular biology and ecology.

Their main fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Medicine

Specific subfields that Zhao frequently works in are:

  • Molecular Biology
  • Ecology
  • Electrical and Electronic Engineering
  • Genetics
  • Cognitive Neuroscience

Key topics of Zhao's research cover areas such as:

  • Genomics and Phylogenetic Studies
  • Gut microbiota and health
  • Bioinformatics and Genomic Networks
  • Bacteriophages and microbial interactions
  • Gene expression and cancer classification
  • Machine Learning in Bioinformatics
  • Functional Brain Connectivity Studies

Zhao has published extensively, with frequent appearances in several academic venues including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • SSRN Electronic Journal
  • Nucleic Acids Research
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature Communications

Notable recent papers include:

  • "Discovery of antimicrobial peptides in the global microbiome with machine learning," 2024, Cell
  • "Associations of Social Isolation and Loneliness With Later Dementia," 2022, Neurology
  • "Towards the biogeography of prokaryotic genes," 2021, Nature
  • "GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison," 2021, Nucleic Acids Research
  • "A deep siamese neural network improves metagenome-assembled genomes in microbiome datasets across different environments," 2022, Nature Communications

Zhao has collaborated frequently with multiple researchers, including:

  • Peer Bork
  • Luís Pedro Coelho
  • Jingqi Chen
  • Wei-Hua Chen
  • Rongda Zhao

Best Publications

  • Inferring gene regulatory networks from gene expression data by path consistency algorithm based on conditional mutual information

    Xiujun Zhang;Xing-Ming Zhao;Kun He;Le Lu

  • Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data

    Xing-Ming Zhao;Murat Iskar;Georg Zeller;Michael Kuhn

  • APIS: accurate prediction of hot spots in protein interfaces by combining protrusion index with solvent accessibility

    Jun Feng Xia;Jun Feng Xia;Xing Ming Zhao;Jiangning Song;Jiangning Song;De Shuang Huang

  • Victors: a web-based knowledge base of virulence factors in human and animal pathogens

    Samantha Sayers;Li Li;Edison Ong;Shunzhou Deng;Shunzhou Deng

  • DeepPhos: prediction of protein phosphorylation sites with deep learning

    Fenglin Luo;Minghui Wang;Yu Liu;Xing Ming Zhao

  • OGEE v2: an update of the online gene essentiality database with special focus on differentially essential genes in human cancer cell lines.

    Wei-Hua Chen;Guanting Lu;Xiao Chen;Xing-Ming Zhao

  • Protein classification with imbalanced data.

    Xing-Ming Zhao;Xin Li;Luonan Chen;Kazuyuki Aihara

  • GMrepo: a database of curated and consistently annotated human gut metagenomes.

    Sicheng Wu;Chuqing Sun;Yanze Li;Teng Wang

  • NARROMI: a noise and redundancy reduction technique improves accuracy of gene regulatory network inference

    Xiujun Zhang;Keqin Liu;Zhi-Ping Liu;Béatrice Duval

  • Conditional mutual inclusive information enables accurate quantification of associations in gene regulatory networks

    Xiujun Zhang;Juan Zhao;Jin-Kao Hao;Xing-Ming Zhao

  • GMrepo v2: a curated human gut microbiome database with special focus on disease markers and cross-dataset comparison.

    Die Dai;Jiaying Zhu;Chuqing Sun;Min Li

  • Uncovering signal transduction networks from high-throughput data by integer linear programming

    Xing-Ming Zhao;Rui-Sheng Wang;Luonan Chen;Kazuyuki Aihara

  • Identifying disease genes and module biomarkers by differential interactions

    Xiaoping Liu;Zhi-Ping Liu;Xing-Ming Zhao;Luonan Chen;Luonan Chen;Luonan Chen

  • Identifying dysregulated pathways in cancers from pathway interaction networks

    Ke-Qin Liu;Ke-Qin Liu;Zhi-Ping Liu;Jin-Kao Hao;Luonan Chen;Luonan Chen;Luonan Chen

  • Drug discovery in the age of systems biology: the rise of computational approaches for data integration

    Murat Iskar;Georg Zeller;Xing-Ming Zhao;Vera van Noort

  • Gene function prediction using labeled and unlabeled data.

    Xing-Ming Zhao;Xing-Ming Zhao;Yong Wang;Luonan Chen;Kazuyuki Aihara

  • Macrel: antimicrobial peptide screening in genomes and metagenomes

    Célio Dias Santos-Júnior;Célio Dias Santos-Júnior;Shaojun Pan;Shaojun Pan;Xing-Ming Zhao;Xing-Ming Zhao;Luis Pedro Coelho;Luis Pedro Coelho

  • PPIM: A Protein-Protein Interaction Database for Maize.

    Guanghui Zhu;Aibo Wu;Xin-Jian Xu;Pei-Pei Xiao

  • Cascleave 2.0, a new approach for predicting caspase and granzyme cleavage targets

    Mingjun Wang;Xing-Ming Zhao;Hao Tan;Tatsuya Akutsu

  • Identifying cancer-related microRNAs based on gene expression data.

    Xing-Ming Zhao;Ke-Qin Liu;Guanghui Zhu;Feng He

  • Predicting protein–protein interactions from protein sequences using meta predictor

    Jun-Feng Xia;Jun-Feng Xia;Xing-Ming Zhao;De-Shuang Huang

  • Detecting early-warning signals of type 1 diabetes and its leading biomolecular networks by dynamical network biomarkers.

    Xiaoping Liu;Rui Liu;Rui Liu;Xing-Ming Zhao;Luonan Chen;Luonan Chen

Frequent Co-Authors

Luonan Chen
Luonan Chen Chinese Academy of Sciences
Jiangning Song
Jiangning Song Monash University
Kazuyuki Aihara
Kazuyuki Aihara University of Tokyo
Peer Bork
Peer Bork European Molecular Biology Laboratory
Jianfeng Feng
Jianfeng Feng Fudan University
De-Shuang Huang
De-Shuang Huang Tongji University
Jin-Kao Hao
Jin-Kao Hao University of Angers
Hong Yan
Hong Yan City University of Hong Kong
Yiu-ming Cheung
Yiu-ming Cheung Hong Kong Baptist University
Barbara J. Sahakian
Barbara J. Sahakian University of Cambridge

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