World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
41259
World Ranking
1310
National Ranking
175

Yu Xue 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 Yu 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: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Yu Xue 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 Yu 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: 76 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Overview

Yu Xue is affiliated with Nanjing University of Information Science and Technology in China. Their research primarily spans the fields of Medicine and Biochemistry, Genetics and Molecular Biology, with notable focus in subfields such as Molecular Biology, Infectious Diseases, Epidemiology, Oncology, and Physiology.

The scientist's work covers key topics including Autophagy in Disease and Therapy, COVID-19 Clinical Research Studies, Machine Learning in Bioinformatics, SARS-CoV-2 and COVID-19 Research, Genomics and Phylogenetic Studies, RNA and Protein Synthesis Mechanisms, and Ubiquitin and Proteasome Pathways.

Yu Xue has contributed to several recent papers, some of which are:

  • Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19, 2020, published in Immunity
  • GPS 5.0: An Update on the Prediction of Kinase-Specific Phosphorylation Sites in Proteins, 2020, published in Genomics Proteomics & Bioinformatics
  • AnimalTFDB 4.0: a comprehensive animal transcription factor database updated with variation and expression annotations, 2022, published in Nucleic Acids Research
  • Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning, 2020, published in Nature Biomedical Engineering
  • Metformin activates chaperone-mediated autophagy and improves disease pathologies in an Alzheimer disease mouse model, 2021, published in Protein & Cell

Among their frequent coauthors are Di Peng, Wanshan Ning, Yujie Gou, Chenwei Wang, and Jia Zhou.

The scientist often publishes in reputable venues, with a majority of their works appearing in:

  • Nature Communications
  • Nucleic Acids Research
  • SSRN Electronic Journal
  • Research Square (Research Square)
  • Cells

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

    Daniel J. Klionsky;Amal Kamal Abdel-Aziz;Sara Abdelfatah;Mahmoud Abdellatif

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • IBS: an illustrator for the presentation and visualization of biological sequences.

    Wenzhong Liu;Yubin Xie;Jiyong Ma;Xiaotong Luo

  • HemI: a toolkit for illustrating heatmaps.

    Wankun Deng;Yongbo Wang;Zexian Liu;Han Cheng

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • GPS 2.0, a Tool to Predict Kinase-specific Phosphorylation Sites in Hierarchy

    Yu Xue;Jian Ren;Xinjiao Gao;Changjiang Jin

  • DOG 1.0: illustrator of protein domain structures.

    Jian Ren;Longping Wen;Xinjiao Gao;Changjiang Jin

  • CSS-Palm 2.0: an updated software for palmitoylation sites prediction.

    Jian Ren;Longping Wen;Xinjiao Gao;Changjiang Jin

  • GPS-SUMO: a tool for the prediction of sumoylation sites and SUMO-interaction motifs

    Qi Zhao;Yubin Xie;Yueyuan Zheng;Shuai Jiang

  • A rapid learning algorithm for vehicle classification

    Xuezhi Wen;Ling Shao;Yu Xue;Wei Fang

  • Stabilization effect of traffic flow in an extended car-following model based on an intelligent transportation system application.

    H. X. Ge;S. Q. Dai;L. Y. Dong;Y. Xue

  • A self-adaptive artificial bee colony algorithm based on global best for global optimization

    Yu Xue;Jiongming Jiang;Binping Zhao;Tinghuai Ma

  • A hybrid feature selection algorithm for gene expression data classification

    Huijuan Lu;Junying Chen;Ke Yan;Qun Jin

  • Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification

    Yu Xue;Bing Xue;Mengjie Zhang

  • A novel oriented cuckoo search algorithm to improve DV-Hop performance for cyberphysical systems

    Zhihua Cui;Bin Sun;Gaige Wang;Yu Xue

  • GPS: a comprehensive www server for phosphorylation sites prediction

    Yu Xue;Fengfeng Zhou;Minjie Zhu;Kashif Ahmed

  • GPS-SNO: computational prediction of protein S-nitrosylation sites with a modified GPS algorithm.

    Yu Xue;Zexian Liu;Xinjiao Gao;Changjiang Jin

  • GPS 2.1: enhanced prediction of kinase-specific phosphorylation sites with an algorithm of motif length selection

    Yu Xue;Yu Xue;Zexian Liu;Jun Cao;Qian Ma

  • GPS 5.0: An Update on the Prediction of Kinase-specific Phosphorylation Sites in Proteins.

    Chenwei Wang;Haodong Xu;Shaofeng Lin;Wankun Deng

  • Text classification based on deep belief network and softmax regression

    Mingyang Jiang;Yanchun Liang;Xiaoyue Feng;Xiaojing Fan

  • Systematic study of protein sumoylation: Development of a site-specific predictor of SUMOsp 2.0

    Jian Ren;Xinjiao Gao;Changjiang Jin;Mei Zhu

Frequent Co-Authors

Xuebiao Yao
Xuebiao Yao University of Science and Technology of China
Shifei Ding
Shifei Ding China University of Mining and Technology
Longping Wen
Longping Wen South China University of Technology
Licheng Jiao
Licheng Jiao Xidian University
Tiago F. Outeiro
Tiago F. Outeiro University of Göttingen
Evelina Gatti
Evelina Gatti Aix-Marseille University
Boris Zhivotovsky
Boris Zhivotovsky Karolinska Institute
Sergio Lavandero
Sergio Lavandero University of Chile
Ferrante Neri
Ferrante Neri University of Nottingham
Beth Levine
Beth Levine The University of Texas Southwestern Medical Center

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