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Biology and Biochemistry
China
2023

D-Index & Metrics

Biology and Biochemistry

D-Index
83
Citations
22117
World Ranking
3550
National Ranking
98

Computer Science

D-Index
76
Citations
19198
World Ranking
1360
National Ranking
184

Luonan 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 Luonan 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: 494 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

Luonan 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 Luonan 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: 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.

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in China Leader Award

Overview

Luonan Chen is affiliated with the Chinese Academy of Sciences in China. Their research spans various domains within biochemistry, genetics, molecular biology, and medicine, with a strong focus on molecular biology and computational approaches.

The primary fields of study include:

  • Biochemistry, Genetics and Molecular Biology (298 publications)
  • Medicine (123 publications)

Subfields of study highlight specialization in:

  • Molecular Biology (236 publications)
  • Artificial Intelligence (32 publications)
  • Oncology (28 publications)
  • Immunology (25 publications)
  • Cancer Research (23 publications)

Their research topics concentrate on:

  • Single-cell and spatial transcriptomics (84 publications)
  • Bioinformatics and Genomic Networks (82 publications)
  • Gene Regulatory Network Analysis (64 publications)
  • Gene expression and cancer classification (60 publications)
  • Cell Image Analysis Techniques (30 publications)
  • RNA modifications and cancer (24 publications)
  • Cancer Genomics and Diagnostics (22 publications)

Chen has contributed frequently to several publication venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory) - 20 publications
  • National Science Review - 12 publications
  • Briefings in Bioinformatics - 10 publications
  • Nature Communications - 9 publications
  • arXiv (Cornell University) - 9 publications

Notable recent papers include:

  • Single-cell RNA-sequencing atlas reveals an MDK-dependent immunosuppressive environment in ErbB pathway-mutated gallbladder cancer (2021, Journal of Hepatology)
  • Single-cell transcriptomics identifies a distinct luminal progenitor cell type in distal prostate invagination tips (2020, Nature Genetics)
  • Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data (2020, Briefings in Bioinformatics)
  • CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis (2020, Scientific Data)
  • Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation (2020, Nature Communications)

Their collaborative network includes frequent co-authors such as:

  • Hongbin Ji (23 joint publications)
  • Kazuyuki Aihara (20 joint publications)
  • Dong Gao (19 joint publications)
  • Shijie Tang (18 joint publications)
  • Tao Zeng (18 joint publications)

Chen has also published a book with Springer Science+Business Media titled Intelligent Life System Modelling, Image Processing and Analysis (2021), which has been cited in academic literature.

Best Publications

  • Chaotic simulated annealing by a neural network model with transient chaos

    Luonan Chen;Kazuyuki Aihara

  • Detecting early-warning signals for sudden deterioration of complex diseases by dynamical network biomarkers

    Luonan Chen;Luonan Chen;Rui Liu;Zhi-Ping Liu;Meiyi Li

  • Short-term load forecasting based on an adaptive hybrid method

    S. Fan;L. Chen

  • Quantitative function for community detection.

    Zhenping Li;Zhenping Li;Shihua Zhang;Rui-Sheng Wang;Xiang-Sun Zhang

  • Stability of genetic regulatory networks with time delay

    L. Chen;K. Aihara

  • Inferring gene regulatory networks from multiple microarray datasets

    Yong Wang;Trupti Joshi;Xiang-Sun Zhang;Dong Xu

  • 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

  • Stability of Genetic Networks With SUM Regulatory Logic: Lur'e System and LMI Approach

    Chunguang Li;L. Chen;K. Aihara

  • Personalized characterization of diseases using sample-specific networks.

    Xiaoping Liu;Xiaoping Liu;Yuetong Wang;Hongbin Ji;Hongbin Ji;Kazuyuki Aihara

  • Early Diagnosis of Complex Diseases by Molecular Biomarkers, Network Biomarkers, and Dynamical Network Biomarkers

    Rui Liu;Xiangdong Wang;Kazuyuki Aihara;Luonan Chen;Luonan Chen

  • Optimal operation solutions of power systems with transient stability constraints

    L. Chen;Y. Taka;H. Okamoto;R. Tanabe

  • Forecasting the Wind Generation Using a Two-Stage Network Based on Meteorological Information

    Shu Fan;J.R. Liao;R. Yokoyama;Luonan Chen

  • Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma

    Biwei Yang;Meiyi Li;Meiyi Li;Wenqing Tang;Weixin Liu;Weixin Liu

  • Identifying critical transitions and their leading biomolecular networks in complex diseases

    Rui Liu;Meiyi Li;Zhi-Ping Liu;Jiarui Wu

  • Biomolecular Networks: Methods and Applications in Systems Biology

    Luonan Chen;Rui-Sheng Wang;Xiang-Sun Zhang

  • Components of Nodal Prices for Electric Power Systems

    Luonan Chen;H. Suzuki;T. Wachi;Y. Shimura

  • Molecular communication through stochastic synchronization induced by extracellular fluctuations.

    Tianshou Zhou;Luonan Chen;Kazuyuki Aihara

  • Part mutual information for quantifying direct associations in networks

    Juan Zhao;Yiwei Zhou;Xiujun Zhang;Luonan Chen

  • Chaos and asymptotical stability in discrete-time neural networks

    Luonan Chen;Kazuyuki Aihara

  • Global searching ability of chaotic neural networks

    Luonan Chen;K. Aihara

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

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

  • Cell-specific network constructed by single-cell RNA sequencing data

    Hao Dai;Lin Li;Tao Zeng;Luonan Chen

  • Network-based drug repositioning

    Zikai Wu;Yong Wang;Luonan Chen;Luonan Chen

  • Prediction of protein–RNA binding sites by a random forest method with combined features

    Zhi-Ping Liu;Ling-Yun Wu;Yong Wang;Xiang-Sun Zhang

  • Inference of Gene Regulatory Network Based on Local Bayesian Networks.

    Fei Liu;Fei Liu;Shao-Wu Zhang;Wei-Feng Guo;Ze-Gang Wei

Frequent Co-Authors

Xiang-Sun Zhang
Xiang-Sun Zhang Chinese Academy of Sciences
Kazuyuki Aihara
Kazuyuki Aihara University of Tokyo
Yong Wang
Yong Wang Nanjing University
Xing-Ming Zhao
Xing-Ming Zhao Fudan University
John R. Speakman
John R. Speakman University of Aberdeen
David Lusseau
David Lusseau Technical University of Denmark
Sharon E. Mitchell
Sharon E. Mitchell University of Aberdeen
Daniel E. L. Promislow
Daniel E. L. Promislow University of Washington
Chunguang Li
Chunguang Li Zhejiang University
Dong Xu
Dong Xu University of Missouri

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