World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10817
World Ranking
5838
National Ranking
2651

Xiaoqian Jiang 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 Xiaoqian Jiang 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 229 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Xiaoqian Jiang 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 Xiaoqian Jiang sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Xiaoqian Jiang is affiliated with The University of Texas Health Science Center at Houston in the United States and has an extensive publication record spanning medicine and computer science with a focus on artificial intelligence applications in healthcare and biomedical research.

Their recent publications include:

  • Improving large language models for clinical named entity recognition via prompt engineering (2024), Journal of the American Medical Informatics Association
  • Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review (2020), Journal of Biomedical Informatics
  • Responsible, practical genomic data sharing that accelerates research (2020), Nature Reviews Genetics
  • Use of the deep learning approach to measure alveolar bone level (2021), Journal Of Clinical Periodontology
  • Anticancer drug synergy prediction in understudied tissues using transfer learning (2020), Journal of the American Medical Informatics Association

Jiang's frequent co-authors include:

  • Yejin Kim
  • Arif Harmanci
  • Hua Xu
  • Luyao Chen
  • Kai Zhang

The main publication venues where Jiang has contributed multiple works are:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Biomedical Informatics
  • Journal of the American Medical Informatics Association
  • BMC Medical Informatics and Decision Making

The principal fields of study encompass Medicine and Computer Science, with subfields focusing on:

  • Artificial Intelligence
  • Molecular Biology
  • Genetics
  • Epidemiology
  • Psychiatry and Mental health

The core research topics include:

  • Machine Learning in Healthcare
  • Privacy-Preserving Technologies in Data
  • Topic Modeling
  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Biomedical Text Mining and Ontologies
  • Dementia and Cognitive Impairment Research

Best Publications

  • Deep learning for healthcare: review, opportunities and challenges.

    Riccardo Miotto;Fei Wang;Shuang Wang;Xiaoqian Jiang

  • Secure Outsourced Matrix Computation and Application to Neural Networks

    Xiaoqian Jiang;Miran Kim;Kristin Lauter;Yongsoo Song

  • Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation

    Miran Kim;Yongsoo Song;Shuang Wang;Yuhou Xia

  • Privacy-Preserving SVM classification on vertically partitioned data

    Hwanjo Yu;Jaideep Vaidya;Xiaoqian Jiang

  • Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data

    Hwanjo Yu;Xiaoqian Jiang;Jaideep Vaidya

  • Privacy-preserving SVM classification

    Jaideep Vaidya;Hwanjo Yu;Xiaoqian Jiang

  • Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review

    Yuqi Si;Jingcheng Du;Zhao Li;Xiaoqian Jiang

  • Grid Binary LOgistic REgression (GLORE): building shared models without sharing data.

    Yuan Wu;Xiaoqian Jiang;Jihoon Kim;Lucila Ohno-Machado

  • Calibrating predictive model estimates to support personalized medicine.

    Xiaoqian Jiang;Melanie Osl;Jihoon Kim;Lucila Ohno-Machado

  • Privacy-Preserving Patient Similarity Learning in a Federated Environment: Development and Analysis.

    Junghye Lee;Jimeng Sun;Fei Wang;Shuang Wang

  • Overcome Support Vector Machine Diagnosis Overfitting

    Henry Han;Xiaoqian Jiang

  • WebDISCO: A web service for distributed cox model learning without patient-level data sharing

    Chia-Lun Lu;Shuang Wang;Zhanglong Ji;Yuan Wu

  • HEALER: Homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS

    Shuang Wang;Yuchen Zhang;Wenrui Dai;Kristin E. Lauter

  • iDASH: integrating data for analysis, anonymization, and sharing

    Lucila Ohno-Machado;Vineet Bafna;Aziz A Boxwala;Brian E Chapman

  • Use of the Deep Learning Approach to Measure Alveolar Bone Level

    Chun-Teh Lee;Tanjida Kabir;Jiman Nelson;Sally Sheng

  • PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.

    Feng Chen;Shuang Wang;Xiaoqian Jiang;Sijie Ding

  • Federated Tensor Factorization for Computational Phenotyping

    Yejin Kim;Jimeng Sun;Hwanjo Yu;Xiaoqian Jiang

  • Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States

    Shuang Wang;Xiaoqian Jiang;Siddharth Singh;Rebecca Marmor

  • Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks.

    Jean Louis Raisaro;Florian Tramèr;Zhanglong Ji;Diyue Bu

  • Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research.

    Jihoon Kim;Hyeoneui Kim;Elizabeth Bell;Tyler Bath

  • EXpectation Propagation LOgistic REgRession (EXPLORER): distributed privacy-preserving online model learning.

    Shuang Wang;Xiaoqian Jiang;Yuan Wu;Lijuan Cui;Lijuan Cui

  • Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions

    Haoran Li;Li Xiong;Xiaoqian Jiang

Frequent Co-Authors

Lucila Ohno-Machado
Lucila Ohno-Machado University of California, San Diego
Li Xiong
Li Xiong Emory University
Kristin E. Lauter
Kristin E. Lauter Microsoft (United States)
Jaideep Vaidya
Jaideep Vaidya Rutgers, The State University of New Jersey
Hua Xu
Hua Xu Yale University
Xiaofeng Wang
Xiaofeng Wang Free University of Bozen-Bolzano
Haixu Tang
Haixu Tang Indiana University
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Amalio Telenti
Amalio Telenti VIR Biotechnology (United States)
Zhongming Zhao
Zhongming Zhao The University of Texas Health Science Center at Houston

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