Author

Ni Jiang

Chinese Academy of SciencesORCID 0000-0001-7997-7655Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Organism:plant (other)· 2 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Assay:imaging· 1

Frequent Co-Authors

Shusong ZhengiD· 2 shared Caihong ZhaoiD· 1 shared Fei HeiD· 1 shared Fujun SuniD· 1 shared Haojie WangiD· 1 shared Hong‐Qing LingiD· 1 shared Jiajie WuiD· 1 shared Jianqing NiuiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersPlant Biology

Shusong ZhengORCID

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2 papers

Recent·Most cited

Plant BiologyNature CommunicationsPeer-reviewedDec 15, 2025

Population-scale gene expression analysis reveals the contribution of expression diversity to the modern wheat improvement

Zhimeng Zhang, Shengwei Ma, Mou Yin…·Fei He

This study uses RNA-seq on 328 wheat lines to analyze gene expression diversity, identifying introgressed genes and their regulatory impacts on agronomic traits and disease resistance.

8 citations

plant (other)bulk RNA-seq

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Plant BiologybioRxivPreprintJun 6, 2025

Analysis of Wheat Spike Morphological Traits Using 2D Imaging

Fujun Sun, Shusong Zheng, Zongyang Li…·Ni Jiang

This study develops SpikePheno, a deep learning pipeline for precise wheat spike phenotyping, revealing correlations between spike morphology and yield, and identifying geographical and temporal phenotypic trends.

DOI 10.1101/2025.06.06.658159

plant (other)imaging

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