World's Best Scientists 2026 revealed!
Hanchuan Peng

Hanchuan Peng

D-Index & Metrics

Computer Science

D-Index
51
Citations
30936
World Ranking
5192
National Ranking
706

Overview

Hanchuan Peng is affiliated with Southeast University in China and has produced extensive research contributions primarily in the fields of Biochemistry, Genetics and Molecular Biology, and Neuroscience. Their work spans several interconnected subfields including Biophysics, Molecular Biology, Cognitive Neuroscience, Neurology, and Cellular and Molecular Neuroscience.

The scientist has published extensively on topics related to Cell Image Analysis Techniques, Single-cell and Spatial Transcriptomics, and Advanced Fluorescence Microscopy Techniques. Additional research interests include Neural Dynamics and Brain Function, Neuroinflammation and Neurodegeneration Mechanisms, Image Processing Techniques and Applications, and Neuroscience and Neuropharmacology Research.

Recent notable publications include:

  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells, 2020, Cell
  • Morphological Diversity of Single Neurons in Molecularly Defined Cell Types, 2021, Nature
  • Human Neocortical Expansion Involves Glutamatergic Neuron Diversification, 2021, Nature
  • Cellular Anatomy of the Mouse Primary Motor Cortex, 2021, Nature
  • Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking, 2020, Neuron

Frequent collaborators include Lijuan Liu, Michael Hawrylycz, Hongkui Zeng, Zhixi Yun, and Giorgio A. Ascoli.

Publishing venues for Hanchuan Peng's work often include bioRxiv (Cold Spring Harbor Laboratory), with 20 publications, Nature Methods (8 publications), Nature (4 publications), Nature Communications (4 publications), and Bioinformatics (4 publications).

In addition to research articles, the scientist has contributed to book publications, including a volume titled Frontiers in Bioimage Informatics Methodology, published by World Scientific in 2023.

Best Publications

  • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

    Hanchuan Peng;Fuhui Long;C. Ding

  • Minimum redundancy feature selection from microarray gene expression data.

    Chris H. Q. Ding;Hanchuan Peng

  • A mesoscale connectome of the mouse brain

    Seung Wook Oh;Julie A. Harris;Lydia Ng;Brent Winslow

  • V3D enables real-time 3D visualization and quantitative analysis of large-scale biological image data sets

    Hanchuan Peng;Zongcai Ruan;Fuhui Long;Julie H Simpson

  • Biological imaging software tools

    Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez

  • Integrated Morphoelectric and Transcriptomic Classification of Cortical GABAergic Cells.

    Nathan W. Gouwens;Staci A. Sorensen;Fahimeh Baftizadeh;Agata Budzillo

  • Classification of electrophysiological and morphological neuron types in the mouse visual cortex.

    Nathan W. Gouwens;Staci A. Sorensen;Jim Berg;Changkyu Lee

  • Bioimage informatics

    Hanchuan Peng;Alex Bateman;Alfonso Valencia;Jonathan D. Wren

  • Morphological diversity of single neurons in molecularly defined cell types

    Hanchuan Peng;Hanchuan Peng;Peng Xie;Lijuan Liu;Xiuli Kuang

  • Extensible visualization and analysis for multidimensional images using Vaa3D

    Hanchuan Peng;Alessandro Bria;Zhi Zhou;Giulio Iannello

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Cellular anatomy of the mouse primary motor cortex

    Rodrigo Muñoz-Castañeda;Brian Zingg;Brian Zingg;Katherine S. Matho;Xiaoyin Chen;Xiaoyin Chen

  • BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

    Hanchuan Peng;Michael Hawrylycz;Jane Roskams;Sean Hill

  • APP2: automatic tracing of 3D neuron morphology based on hierarchical pruning of a gray-weighted image distance-tree.

    Hang Xiao;Hanchuan Peng

  • A 3d digital atlas of C. elegans and its application to single-cell analyses

    Fuhui Long;Hanchuan Peng;Xiao Liu;Stuart K. Kim

  • Imagining the future of bioimage analysis

    Erik Meijering;Anne E Carpenter;Hanchuan Peng;Fred A Hamprecht

  • Automatic 3D neuron tracing using all-path pruning

    Hanchuan Peng;Fuhui Long;Gene Myers

  • Analysis of Cell Fate from Single-Cell Gene Expression Profiles in C. elegans

    Xiao Liu;Fuhui Long;Hanchuan Peng;Sarah J. Aerni

  • BrainAligner: 3D registration atlases of Drosophila brains

    Hanchuan Peng;Phuong Chung;Fuhui Long;Lei Qu

  • Whole-Neuron Synaptic Mapping Reveals Spatially Precise Excitatory/Inhibitory Balance Limiting Dendritic and Somatic Spiking.

    Daniel Maxim Iascone;Yujie Li;Yujie Li;Uygar Sümbül;Uygar Sümbül;Michael Doron

  • A multimodal cell census and atlas of the mammalian primary motor cortex

    Ricky Adkins;Andrew Aldridge;Shona Allen

  • Feature selection based on mutual information: criteria ofmax-dependency, max-relevance, and min-redundancy

    Hanchuan Peng;Fuhui Long;Chris Ding

Frequent Co-Authors

Eugene W. Myers
Eugene W. Myers Max Planck Institute of Molecular Cell Biology and Genetics
Weidong Cai
Weidong Cai University of Sydney
Michael Hawrylycz
Michael Hawrylycz Allen Institute for Brain Science
Hongkui Zeng
Hongkui Zeng Allen Institute for Brain Science
Yang Song
Yang Song California Institute of Technology
Chris Ding
Chris Ding Chinese University of Hong Kong, Shenzhen
Christof Koch
Christof Koch Allen Institute for Brain Science
Ed S. Lein
Ed S. Lein University of Washington
Giorgio A. Ascoli
Giorgio A. Ascoli George Mason University
Lydia Ng
Lydia Ng Allen Institute for Brain Science

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