Author

Xinwang Yang

Harbin Institute of Technology

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

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Assay:spatial transcriptomics· 3 Organism:human· 2 Research Focus:spatial domain detection· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Daoliang ZhangiD· 3 shared Qi ZouiD· 3 shared Yixuan DuiD· 3 shared Zhikang WangiD· 3 shared Zhiyuan YuaniD· 3 shared Sijie LiiD· 2 shared Yunzhi Yan· 2 shared Zheqi HuiD· 2 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Daoliang ZhangORCID

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3 papers

Recent·Most cited

Platform-specific count-matrix preprocessing workflows for spatial transcriptomics data analysis

Yixuan Du, Sijie Li, Xinwang Yang, Han Shu, Zhikang Wang, Daoliang Zhang, Qi Zou, Zhiyuan Yuan

This study benchmarks preprocessing workflows for spatial transcriptomics data across multiple platforms and identifies platform-specific recommendations to improve downstream analysis.

bioRxiv · Sep 29, 2026 · PreprintBioinformatics

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

AI-enabled reconstruction of 3D spatial multi-omics at single-cell resolution

Zhikang Wang, Yunzhi Yan, Xinwang Yang, Daoliang Zhang, Chuangyi Han, Qi Zou, Yixuan Du, Zheqi Hu, Zhiyuan Yuan

This paper introduces Histo3D-MO, a framework for reconstructing 3D spatial multi-omics maps at single-cell resolution, revealing spatial patterns in tumor microenvironments.

bioRxiv · Jul 14, 2026 · PreprintBioinformatics