World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
12285
World Ranking
2655
National Ranking
364

Xiaohong Chen 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 Xiaohong Chen 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: 198 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Xiaohong Chen 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 Xiaohong Chen 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Xiaohong Chen is affiliated with Central South University in China and has made contributions primarily in the fields of Medicine and Engineering. Their research intersects multiple subfields including Molecular Biology, Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, and Renewable Energy, Sustainability and the Environment.

The scientist's published work includes topics such as:

  • Nanoplatforms for cancer theranostics
  • Advanced battery technologies research
  • Electrocatalysts for Energy Conversion
  • Advanced Photocatalysis Techniques
  • 2D Materials and Applications
  • Advancements in Battery Materials
  • Extracellular vesicles in disease

Recent papers featuring Xiaohong Chen's contributions include:

  • Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China (2020) published in JAMA Internal Medicine
  • Pembrolizumab in combination with gemcitabine and cisplatin compared with gemcitabine and cisplatin alone for patients with advanced biliary tract cancer (KEYNOTE-966): a randomised, double-blind, placebo-controlled, phase 3 trial (2023) published in The Lancet
  • The EPR effect and beyond: Strategies to improve tumor targeting and cancer nanomedicine treatment efficacy (2020) published in Theranostics
  • Trial of Endovascular Therapy for Acute Ischemic Stroke with Large Infarct (2023) published in New England Journal of Medicine
  • Camrelizumab in patients with previously treated advanced hepatocellular carcinoma: a multicentre, open-label, parallel-group, randomised, phase 2 trial (2020) published in The Lancet Oncology

Frequent co-authors of Xiaohong Chen include:

  • Wei Lü
  • Guanhai Li
  • Zijian Zhou
  • Jian Ji
  • Lin Wang

Publication venues where Xiaohong Chen has published multiple times encompass the following:

  • Nature Communications
  • Advanced Functional Materials
  • Advanced Materials
  • Chemical Engineering Journal
  • ACS Nano

Best Publications

  • Consensus model for multi-criteria large-group emergency decision making considering non-cooperative behaviors and minority opinions

    Unknown

  • Intuitionistic fuzzy Choquet integral operator for multi-criteria decision making

    Unknown

  • Simplified neutrosophic sets and their applications in multi-criteria group decision-making problems

    Juan-juan Peng;Jian-qiang Wang;Jing Wang;Hong-yu Zhang

  • Interval-valued hesitant fuzzy linguistic sets and their applications in multi-criteria decision-making problems

    Jian-qiang Wang;Jia-ting Wu;Jing Wang;Hong-yu Zhang

  • Co-op advertising and emission reduction cost sharing contracts and coordination in low-carbon supply chain based on fairness concerns

    Yanju Zhou;Maojing Bao;Xiaohong Chen;Xuanhua Xu

  • An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets

    Juan-juan Peng;Jian-qiang Wang;Hong-yu Zhang;Xiao-hong Chen

  • Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information

    Jian-qiang Wang;Lu Peng;Hong-yu Zhang;Xiao-hong Chen

  • An Uncertain Linguistic Multi-criteria Group Decision-Making Method Based on a Cloud Model

    Jian-qiang Wang;Juan-juan Peng;Juan-juan Peng;Hong-yu Zhang;Tao Liu

  • Confidence consensus-based model for large-scale group decision making: A novel approach to managing non-cooperative behaviors

    Xuan-hua Xu;Zhi-jiao Du;Zhi-jiao Du;Xiao-hong Chen;Xiao-hong Chen;Chen-guang Cai

  • Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number

    Junhua Hu;Yan Zhang;Xiaohong Chen;Yongmei Liu

  • A partial binary tree DEA-DA cyclic classification model for decision makers in complex multi-attribute large-group interval-valued intuitionistic fuzzy decision-making problems

    Unknown

  • Some cosine similarity measures and distance measures between q‐rung orthopair fuzzy sets

    Unknown

  • An outranking approach for multi-criteria decision-making problems with interval-valued neutrosophic sets

    Hongyu Zhang;Jianqiang Wang;Xiaohong Chen

  • Multi-attribute decision analysis under a linguistic hesitant fuzzy environment

    Fanyong Meng;Fanyong Meng;Xiaohong Chen;Qiang Zhang

  • An interval-valued intuitionistic fuzzy principal component analysis model-based method for complex multi-attribute large-group decision-making

    Unknown

  • A two-layer weight determination method for complex multi-attribute large-group decision-making experts in a linguistic environment

    Unknown

  • Multiple telecouplings and their complex interrelationships

    Jianguo Liu;Vanessa Hull;Junyan Luo;Wu Yang

  • Improving employees' job satisfaction and innovation performance using conflict management

    Xiao‐Hong Chen;Ke Zhao;Xiang Liu;Desheng Dash Wu

  • A dynamical consensus method based on exit-delegation mechanism for large group emergency decision making

    Unknown

  • Fermatean fuzzy linguistic set and its application in multicriteria decision making

    Unknown

  • Atanassov's Interval-Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Model

    Jian-Qiang Wang;Pei Wang;Jing Wang;Hong-Yu Zhang

  • Multi-criteria decision-making methods based on the Hausdorff distance of hesitant fuzzy linguistic numbers

    Jian-Qiang Wang;Jia-Ting Wu;Jing Wang;Hong-Yu Zhang

  • Multi-criteria decision-making based on hesitant fuzzy linguistic term sets: An outranking approach

    Jing Wang;Jing Wang;Jian-qiang Wang;Hong-yu Zhang;Xiao-hong Chen

  • Hesitant fuzzy Hamacher aggregation operators for multicriteria decision making

    Chunqiao Tan;Wentao Yi;Xiaohong Chen

  • An extension of ELECTRE to multi-criteria decision-making problems with multi-hesitant fuzzy sets

    Juan-juan Peng;Jian-qiang Wang;Jing Wang;Li-Jun Yang

  • An Improved Weighted Correlation Coefficient Based on Integrated Weight for Interval Neutrosophic Sets and its Application in Multi-criteria Decision-making Problems

    Hong-yu Zhang;Pu Ji;Jian-qiang Wang;Xiao-hong Chen

  • An Empirical Study of Word-of-Mouth Generation and Consumption

    Sha Yang;Mantian (Mandy) Hu;Russell S. Winer;Henry Assael

  • The fuzzy cross-entropy for intuitionistic hesitant fuzzy sets and their application in multi-criteria decision-making

    Juan-juan Peng;Jian-qiang Wang;Xiao-hui Wu;Hong-yu Zhang

Frequent Co-Authors

Jianqiang Wang
Jianqiang Wang Central South University
Hong-yu Zhang
Hong-yu Zhang Central South University
Jun Zhuang
Jun Zhuang University at Buffalo, State University of New York
W. H. Ip
W. H. Ip Hong Kong Polytechnic University
Pei Wang
Pei Wang Shenzhen University
Desheng Dash Wu
Desheng Dash Wu Chinese Academy of Sciences
Mark Goh
Mark Goh National University of Singapore
Genshiro Kitagawa
Genshiro Kitagawa The Institute of Statistical Mathematics

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