Author

Mingliang Xu

University of Science and Technology of ChinaPrimary ORCID profile (0000-0003-2328-474X · 1 paper)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

Mingliang XuiD1 paper · State Key Laboratory of Plant Physiology and Biochemistry

Biology Disciplines

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Bioengineering· 1 Genomics· 1 Neuroscience· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:experimental assay· 2 Assay:imaging· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1

Frequent Co-Authors

F H Li· 2 shared Fei HeiD· 2 shared Guanyi ZhuiD· 2 shared Haoran MaiD· 2 shared Boqi Zhang· 1 shared C YUiD· 1 shared Daiying ChaoiD· 1 shared Fei HeiD· 1 shared

Activity by Year

2020-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersNeuroscience

F H Li

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Author profile →

4 papers

Recent·Most cited

Electrolytic-Microbubble Dynamics Delineate Safety Thresholds During Intracortical Microstimulation with Flexible Neural Interfaces

Iliasov Artem, H F Ma, F H Li, Z Chen, Mingliang Xu, C YU, R K Li, Jinsong Wu, Fei He

This study identifies safety thresholds for intracortical microstimulation by analyzing bubble dynamics and vascular leakage in awake mice.

bioRxiv · Jun 23, 2026 · PreprintNeuroscience

Ultraflexible Ion-Specific Nanoelectrodes for Long-Term Potassium Monitoring in Plants

Zhongli Yang, Mingyu Shu, Haoran Ma, Guanyi Zhu, Han Sun, Mingliang Xu, Xiaoling Wei, W.M. Tsang, Daiying Chao, Ruxin Li, Fei He

This paper introduces PINE arrays for long-term, ultraflexible potassium monitoring in plants, enabling continuous tracking of ion dynamics without disrupting cellular structure.

bioRxiv · Jun 21, 2026 · PreprintPlant Biology

Ultra-low-illumination, high-fidelity longitudinal monitoring of cerebral perfusion via deep learning-enhanced laser speckle contrast imaging

Mingliang Xu, F H Li, Guanyi Zhu, Haoran Ma, Fei He

This paper introduces TunLSCI, a deep learning method that enhances low-illumination laser speckle contrast imaging for high-fidelity, long-term cerebral perfusion monitoring in mice.

bioRxiv · Mar 13, 2026 · PreprintBioengineering

Effectors with different gears: divergence of Ustilago maydis effector genes is associated with their temporal expression pattern during plant infection

Jasper R. L. Depotter, Weiliang Zuo, Maike Hansen, Boqi Zhang, Mingliang Xu, Gunther Doehlemann

The paper examines divergence in Ustilago maydis effector genes, finding that conserved genes peak during early infection stages while divergent genes peak during fungal proliferation.

Journal of Fungi · Dec 29, 2020Peer-reviewedGenomics