Jinmiao Chen
Molecular Biology · 2014–2023
A researcher in the Science corpus: 14 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 189 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Computer Vision and Pattern Recognition — 18 citations into it
- Artificial Intelligence — 13 citations into it
- Signal Processing — 7 citations into it
Whom Jinmiao Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jinmiao Chen overall
Papers from Jinmiao Chen's perspective
Ordered by how strongly the researchers Jinmiao Chen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Visualizing Data using t-SNE
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- A global geometric framework for nonlinear dimensionality reduction.
- Going deeper with convolutions
Their papers
- A benchmark of batch-effect correction methods for single-cell RNA sequencing data (2020) — 985 citations
- Two distinct interstitial macrophage populations coexist across tissues in specific subtissular niches (2019) — 934 citations
- Mapping the Diversity of Follicular Helper T Cells in Human Blood and Tonsils Using High-Dimensional Mass Cytometry Analysis. (2015) — 121 citations
- Unsupervised spatially embedded deep representation of spatial transcriptomics (2021) — 403 citations
- Self-renewing resident cardiac macrophages limit adverse remodeling following myocardial infarction (2018) — 766 citations
- Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST (2023) — 605 citations
- Comparison Between UMAP and t-SNE for Multiplex-Immunofluorescence Derived Single-Cell Data from Tissue Sections (2019) — 18 citations
- Single cell RNA sequencing of microglia throughout the mouse lifespan and in the injured brain reveals complex cell-state changes (2018) — 1,835 citations
- Developmental Analysis of Bone Marrow Neutrophils Reveals Populations Specialized in Expansion, Trafficking, and Effector Functions (2018) — 614 citations
- Microbiome Influences Prenatal and Adult Microglia in a Sex-Specific Manner (2017) — 660 citations
- Cytofkit: A Bioconductor Package for an Integrated Mass Cytometry Data Analysis Pipeline (2016) — 326 citations
- Unsupervised High-Dimensional Analysis Aligns Dendritic Cells across Tissues and Species (2016) — 752 citations
- C-Myb+ Erythro-Myeloid Progenitor-Derived Fetal Monocytes Give Rise to Adult Tissue-Resident Macrophages (2015) — 1,001 citations
- High-dimensional analysis of the murine myeloid cell system (2014) — 350 citations