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Xuan Xiao

D-Index & Metrics

Computer Science

D-Index
63
Citations
14415
World Ranking
2778
National Ranking
378

Xuan 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 Xuan 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.

Xuan 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 Xuan 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: 63 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Xuan Xiao is affiliated with the Jingdezhen Ceramic Institute in China and works primarily in the field of Engineering. Their research spans several subfields, including Electrical and Electronic Engineering, Biomedical Engineering, Molecular Biology, Statistics and Probability, and Mechanical Engineering.

Their recent publications include:

  • A single-atom manganese nanozyme mediated membrane reactor for water decontamination, 2024, Water Research
  • CT texture analysis predicts abdominal aortic aneurysm post-endovascular aortic aneurysm repair progression, 2020, Scientific Reports
  • Perfect light absorption in monolayer MoS2 empowered by optical Tamm states, 2021, Chinese Optics Letters
  • LncRNA gadd7 promotes mitochondrial membrane potential decrease and apoptosis of alveolar type II epithelial cells in hyperoxia-induced lung injury by promoting MFN1, 2023, European Journal of Histochemistry
  • Relay Power Allocation for NAF Cooperation Assisted NOMA Network, 2020, IEEE Wireless Communications Letters

Xiao's frequent coauthors include Jianlin Zhao, Guoyue Liu, Cunzhi Yin, Hang Wu, and Jin-Hong Lin, each having collaborated on multiple projects.

The scientist has published regularly in venues such as PubMed, Water Research, Scientific Reports, Chinese Optics Letters, and the European Journal of Histochemistry.

Xiao's main topics of work cover a diverse array of research interests:

  • Photonic and Optical Devices
  • Cancer-related molecular mechanisms research
  • Mitochondrial Function and Pathology
  • Fluorine in Organic Chemistry
  • Advanced Nanomaterials in Catalysis
  • Electrochemical sensors and biosensors
  • Advanced Photocatalysis Techniques

Best Publications

  • pSuc-Lys: Predict lysine succinylation sites in proteins with PseAAC and ensemble random forest approach

    Jianhua Jia;Jianhua Jia;Zi Liu;Xuan Xiao;Bingxiang Liu

  • iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components

    Wang Ren Qiu;Xuan Xiao;Kuo Chen Chou

  • iPTM-mLys: identifying multiple lysine PTM sites and their different types

    Wang-Ren Qiu;Bi-Qian Sun;Xuan Xiao;Zhao-Chun Xu

  • iATC-mISF: a multi-label classifier for predicting the classes of anatomical therapeutic chemicals.

    Xiang Cheng;Xiang Cheng;Shu-Guang Zhao;Xuan Xiao;Kuo-Chen Chou;Kuo-Chen Chou

  • iPPI-Esml: An ensemble classifier for identifying the interactions of proteins by incorporating their physicochemical properties and wavelet transforms into PseAAC.

    Jianhua Jia;Zi Liu;Xuan Xiao;Bingxiang Liu

  • iSuc-PseOpt: Identifying lysine succinylation sites in proteins by incorporating sequence-coupling effects into pseudo components and optimizing imbalanced training dataset

    Jianhua Jia;Zi Liu;Xuan Xiao;Bingxiang Liu

  • pLoc-mEuk: Predict subcellular localization of multi-label eukaryotic proteins by extracting the key GO information into general PseAAC

    Xiang Cheng;Xuan Xiao;Kuo-Chen Chou

  • iRNAm5C-PseDNC: identifying RNA 5-methylcytosine sites by incorporating physical-chemical properties into pseudo dinucleotide composition

    Wang-Ren Qiu;Shi-Yu Jiang;Zhao-Chun Xu;Xuan Xiao

  • iDrug-Target: predicting the interactions between drug compounds and target proteins in cellular networking via benchmark dataset optimization approach.

    Xuan Xiao;Jian-Liang Min;Wei-Zhong Lin;Zi Liu

  • iMethyl-PseAAC: identification of protein methylation sites via a pseudo amino acid composition approach.

    Wang-Ren Qiu;Xuan Xiao;Wei-Zhong Lin;Kuo-Chen Chou

  • pLoc-mPlant: predict subcellular localization of multi-location plant proteins by incorporating the optimal GO information into general PseAAC

    Xiang Cheng;Xuan Xiao;Kuo-Chen Chou

  • pLoc-mAnimal: predict subcellular localization of animal proteins with both single and multiple sites.

    Xiang Cheng;Xiang Cheng;Shu-Guang Zhao;Wei-Zhong Lin;Xuan Xiao

  • iUbiq-Lys: prediction of lysine ubiquitination sites in proteins by extracting sequence evolution information via a gray system model.

    Wang-Ren Qiu;Xuan Xiao;Wei-Zhong Lin;Kuo-Chen Chou

  • pSumo-CD: predicting sumoylation sites in proteins with covariance discriminant algorithm by incorporating sequence-coupled effects into general PseAAC.

    Jianhua Jia;Liuxia Zhang;Zi Liu;Xuan Xiao

  • iCar-PseCp: identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into general PseAAC.

    Jianhua Jia;Zi Liu;Xuan Xiao;Bingxiang Liu

  • pLoc-mVirus: Predict subcellular localization of multi-location virus proteins via incorporating the optimal GO information into general PseAAC.

    Xiang Cheng;Xuan Xiao;Kuo-Chen Chou

  • pLoc-mGneg: Predict subcellular localization of Gram-negative bacterial proteins by deep gene ontology learning via general PseAAC.

    Xiang Cheng;Xuan Xiao;Kuo-Chen Chou;Kuo-Chen Chou

  • iHyd-PseCp: Identify hydroxyproline and hydroxylysine in proteins by incorporating sequence-coupled effects into general PseAAC.

    Wang-Ren Qiu;Bi-Qian Sun;Xuan Xiao;Zhao-Chun Xu

  • iKcr-PseEns: Identify lysine crotonylation sites in histone proteins with pseudo components and ensemble classifier.

    Wang-Ren Qiu;Bi-Qian Sun;Xuan Xiao;Zhao-Chun Xu

  • pLoc-mHum: predict subcellular localization of multi-location human proteins via general PseAAC to winnow out the crucial GO information.

    Xiang Cheng;Xuan Xiao;Kuo-Chen Chou;Kuo-Chen Chou

  • iPhos-PseEn: identifying phosphorylation sites in proteins by fusing different pseudo components into an ensemble classifier.

    Wang-Ren Qiu;Xuan Xiao;Zhao-Chun Xu;Kuo-Chen Chou

Frequent Co-Authors

Kuo-Chen Chou
Kuo-Chen Chou The Gordon Life Science Institute
Dong Xu
Dong Xu University of Missouri
Licheng Jiao
Licheng Jiao Xidian University
Dong-Jun Yu
Dong-Jun Yu Nanjing University of Science and Technology

External Links

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Related Online Degrees & Career Pathways

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Exploring these related degrees can expand your career options while allowing you to specialize in areas closely connected to computer science.

Best Scientists Citing Xuan Xiao

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