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Biology and Biochemistry
China
2023

D-Index & Metrics

Computer Science

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

Biology and Biochemistry

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

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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