Author

Pengwei Hu

Inner Mongolia UniversityPrimary ORCID profile (0000-0001-5974-7932 · 3 papers)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Pengwei HuiD3 papers · Chinese Academy of Sciences

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:database / resource· 2 Organism:mouse· 2 Research Focus:spatial domain detection· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1

Frequent Co-Authors

Bingjie DaiiD· 2 shared Litai YiiD· 2 shared Yongchun ZuoiD· 2 shared Yuchao Liang· 2 shared Zhiyuan YuaniD· 2 shared Bin‐Zhi QianiD· 1 shared Binzhi Qian· 1 shared Chenglong Sun· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Bingjie DaiORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Unifying physical and molecular coordinate systems across modalities in spatial biology

Bingjie Dai, Yunzhi Yan, Zhikang Wang, Yuchao Liang, Sijie Li, Pengwei Hu, Xinwang Yang, Chuyao Wang, Litai Yi, Chenglong Sun, Jinhai Huang, Xingtao Zhou, Hebing Chen, Daoliang Zhang, Qi Zou, , Zhiyuan Yuan

The paper introduces MAPS, a platform for unifying physical and molecular coordinates across modalities in spatial biology, demonstrating its effectiveness on diverse datasets and applications.

bioRxiv · Sep 4, 2026 · PreprintBioinformatics

A lightweight, ultrafast and general embedding framework for large-scale spatial omics data

Bingjie Dai, Yuchao Liang, Litai Yi, Pengwei Hu, Yancheng Song, Binzhi Qian, Miaoxia He, Linhui Wang, Zhiyuan Yuan, Yongchun Zuo

This paper introduces SpaLP, a framework for spatial omics data that outperforms existing methods in efficiency and accuracy across multiple tasks.

bioRxiv · Feb 6, 2026 · PreprintBioinformatics