| Space charge induced nonlinear effects in quadrupole ion traps D Guo, Y Wang, X Xiong, H Zhang, X Zhang, T Yuan, X Fang, W Xu Journal of the American Society for Mass Spectrometry 25 (3), 498-508, 2014 | 49 | 2014 |
| Sapag: A self-adaptive privacy attack from gradients Y Wang, J Deng, D Guo, C Wang, X Meng, H Liu, C Ding, S Rajasekaran arXiv preprint arXiv:2009.06228, 2020 | 32 | 2020 |
| Recent advances of capillary electrophoresis-mass spectrometry instrumentation and methodology Y Jiang, MY He, WJ Zhang, P Luo, D Guo, X Fang, W Xu Chinese Chemical Letters 28 (8), 1640-1652, 2017 | 31 | 2017 |
| Reducing space charge effects in a linear ion trap by rhombic ion excitation and ejection X Zhang, Y Wang, L Hu, D Guo, X Fang, M Zhou, W Xu Journal of The American Society for Mass Spectrometry 27, 1256-1262, 2016 | 20 | 2016 |
| Collision cross section measurements for biomolecules within a high-resolution FT-ICR cell: theory D Guo, Y Xin, D Li, W Xu Physical Chemistry Chemical Physics 17 (14), 9060-9067, 2015 | 20 | 2015 |
| Deep multiple instance learning classifies subtissue locations in mass spectrometry images from tissue-level annotations D Guo, MC Föll, V Volkmann, K Enderle-Ammour, P Bronsert, O Schilling, ... Bioinformatics 36 (Supplement_1), i300-i308, 2020 | 18 | 2020 |
| Realistic modeling of ion‐neutral collisions in quadrupole ion traps M He, D Guo, Y Feng, X Xiong, H Zhang, X Fang, W Xu Journal of Mass Spectrometry 50 (1), 95-102, 2015 | 17 | 2015 |
| Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: a case study of an urothelial cancer cohort analyzed in the Galaxy framework MC Föll, V Volkmann, K Enderle-Ammour, S Timme, K Wilhelm, D Guo, ... Clinical proteomics 19 (1), 8, 2022 | 13 | 2022 |
| Unsupervised segmentation of mass spectrometric ion images characterizes morphology of tissues D Guo, K Bemis, C Rawlins, J Agar, O Vitek Bioinformatics 35 (14), i208-i217, 2019 | 13 | 2019 |
| Ion collision crosssection measurements in quadrupole ion traps using a time–frequency analysis method M He, D Guo, Y Chen, X Xiong, X Fang, W Xu Analyst 139 (23), 6144-6153, 2014 | 13 | 2014 |
| Statistical detection of differentially abundant ions in mass spectrometry-based imaging experiments with complex designs KA Bemis, D Guo, AJ Harry, M Thomas, I Lanekoff, MP Stenzel-Poore, ... International Journal of Mass Spectrometry 437, 49-57, 2019 | 12 | 2019 |
| GPU Assisted Simulation Study of Ion–Ion Reactions within Quadrupole Ion Traps D Guo, M He, Y Wang, X Xiong, X Fang, W Xu Journal of The American Society for Mass Spectrometry 26 (7), 1233-1241, 2015 | 10 | 2015 |
| Analyzing and defending against membership inference attacks in natural language processing classification Y Wang, N Xu, S Huang, K Mahmood, D Guo, C Ding, W Wen, ... 2022 IEEE International Conference on Big Data (Big Data), 5823-5832, 2022 | 6 | 2022 |
| Dual-Polarity Ion Trap Mass Spectrometry: Dynamic Monitoring and Controlling Gas-phase Ion–Ion Reactions M He, Y Jiang, D Guo, X Xiong, X Fang, W Xu Journal of The American Society for Mass Spectrometry 28 (7), 1262-1270, 2017 | 5 | 2017 |
| Cardinal v. 3: a versatile open-source software for mass spectrometry imaging analysis KA Bemis, MC Föll, D Guo, SS Lakkimsetty, O Vitek Nature Methods 20 (12), 1883-1886, 2023 | 4 | 2023 |
| Variance of the gradient also matters: Privacy leakage from gradients Y Wang, J Deng, D Guo, C Wang, X Meng, H Liu, C Shang, B Wang, ... 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Ion collision cross section analyses in quadrupole ion traps using the filter diagonalization method: a theoretical study T Jiang, M He, D Guo, Y Zhai, W Xu Physical Chemistry Chemical Physics 18 (17), 12058-12064, 2016 | 2 | 2016 |
| M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector YN Truong Vu, D Guo, A Taha, J Su, TP Matthews International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| KE: A Knowledge Enhancing Framework for Machine Learning Models Y Wang, N Shah, A Soliman, D Guo, S Rajasekaran The Journal of Physical Chemistry A 127 (40), 8437-8446, 2023 | | 2023 |
| M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector YNT Vu, D Guo, A Taha, J Su, TP Matthews arXiv preprint arXiv:2308.06420, 2023 | | 2023 |
