| Metabolic reaction network-based recursive metabolite annotation for untargeted metabolomics X Shen, R Wang, X Xiong, Y Yin, Y Cai, Z Ma, N Liu, ZJ Zhu Nature communications 10 (1), 1516, 2019 | 236 | 2019 |
| Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics Z Zhou, M Luo, X Chen, Y Yin, X Xiong, R Wang, ZJ Zhu Nature communications 11 (1), 4334, 2020 | 228 | 2020 |
| LipidCCS: prediction of collision cross-section values for lipids with high precision to support ion mobility–mass spectrometry-based lipidomics Z Zhou, J Tu, X Xiong, X Shen, ZJ Zhu Analytical chemistry 89 (17), 9559-9566, 2017 | 196 | 2017 |
| MetCCS predictor: a web server for predicting collision cross-section values of metabolites in ion mobility-mass spectrometry based metabolomics Z Zhou, X Xiong, ZJ Zhu Bioinformatics, btx140, 2017 | 86 | 2017 |
| LipidIMMS Analyzer: integrating multi-dimensional information to support lipid identification in ion mobility—mass spectrometry based lipidomics Z Zhou, X Shen, X Chen, J Tu, X Xiong, ZJ Zhu Bioinformatics 35 (4), 698-700, 2019 | 65 | 2019 |
| Metabolic reaction network-based recursive metabolite identification for untargeted metabolomics X Shen, X Xiong, R Wang, Y Yin, Y Cai, Z Ma, N Liu, ZJ Zhu bioRxiv, 305201, 2018 | 1 | 2018 |
| DeSide: A unified deep learning approach for cellular decomposition of bulk tumors based on limited scRNA-seq data X Xiong, Y Liu, D Pu, Z Yang, Z Bi, L Tian, X Li bioRxiv, 2023.05. 11.540466, 2023 | | 2023 |
