Author

Yu Jin

University of Electronic Science and Technology of China

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

Biology Disciplines

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Neuroscience· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

María L. Bringas-VegaiD· 2 shared Pedro Antonio Valdes-SosaiD· 2 shared Ronaldo García ReyesiD· 2 shared Ying WangiD· 2 shared Ariosky Areces-GonzáleziD· 1 shared Cheng LuoiD· 1 shared Deguang Song· 1 shared Dejiang WangiD· 1 shared

Activity by Year

2026-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersNeuroscience

María L. Bringas-VegaORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Spatially resolved host-fungal transcriptomics profiling by fungal-DBiT

Xiaohui Yu, Fu Qiang Gao, Deguang Song, Gaocai Li, Dejiang Wang, Shenjie Wang, Xiangjun Di, Shujie He, Liyun Lin, Junyi Xu, Di Zhang, Yu Jin, Jing Du, Noah W. Palm, Liu Yang

This study introduces fungal-DBiT, a spatial transcriptomic platform that maps host and fungal RNAs in tissue sections, revealing spatial heterogeneity in fungal localization and host responses during infection and under physiological conditions.

bioRxiv · Oct 19, 2026 · PreprintMicrobiology

Source-space precision charts for lifespan EEG connectomics

Yu Jin, Ronaldo García Reyes, Ying Wang, María L. Bringas-Vega, Pedro Antonio Valdes-Sosa

The paper introduces JSPACE, a method for estimating source precision matrices from EEG data, and applies it to create a lifespan atlas of cortical interactions.

bioRxiv · Jun 24, 2026 · PreprintNeuroscience

Lifespan Development of EEG Alpha and Aperiodic Component Sources is Shaped by the Connectome and Axonal Delays

Ronaldo García Reyes, Ariosky Areces-González, Ying Wang, Yu Jin, Shahwar Yasir, María L. Bringas-Vega, Mitchell Joseph Valdés-Sosa, Cheng Luo, Peng Xu, Viktor Jirsa, Dezhong Yao, Ludovico Minati, Pedro Antonio Valdes-Sosa

The paper introduces {xi}-Net, a generative model of cortical activity that estimates EEG components and connectivity across lifespan using rsEEG data.

National Science Review · Feb 5, 2026Peer-reviewedNeuroscience