Manifold Learning
Manifold Learning is a dimensionality reduction technique that models high-dimensional data as lying on a low-dimensional manifold embedded in the higher-dimensional space, distinguishing itself by leveraging the intrinsic geometric structure of the data to preserve local relationships during nonlinear projection.
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2017–2026
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Nonlinear Dimensionality Reduction by Locally Linear Embedding
Sam T. Roweis, Lawrence K. Saul · Science · 2000 · 15K citations
UMAP: Uniform Manifold Approximation and Projection
Leland McInnes, John Healy, Nathaniel Saul et al. · The Journal of Open Source Software · 2018 · 9.6K citations · Full text
Inference and analysis of cell-cell communication using CellChat
Suoqin Jin, Christian F. Guerrero‐Juarez, Lihua Zhang et al. · Nature Communications · 2021 · 8.3K citations · Full text
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Chinese Academy of Sciences
Beijing, China
43 h-index
230 publications
18.1K citations

Zhejiang University
Hangzhou, China
30 h-index
177 publications
17.2K citations
Nanyang Technological University
Singapore, Singapore
30 h-index
90 publications
10.2K citations

Northwestern Polytechnical University
Xi'an, China
28 h-index
125 publications
6.9K citations
Tsinghua University
Beijing, China
27 h-index
103 publications
7.7K citations

Peking University
Beijing, China
24 h-index
94 publications
6.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
24 h-index
84 publications
8K citations

Xidian University
Xi'an, China
23 h-index
114 publications
5.6K citations
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Repository · 155 publications · 16.7K citations
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60 publications · 4K citations
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50 publications · 6.1K citations
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47 publications · 2.9K citations
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Conference · 50 publications · 3K citations
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