| Image-guided MALDI mass spectrometry for high-throughput single-organelle characterization DC Castro, YR Xie, SS Rubakhin, EV Romanova, JV Sweedler Nature Methods 18 (10), 1233-1238, 2021 | 71 | 2021 |
| Single-cell classification using mass spectrometry through interpretable machine learning YR Xie, DC Castro, SE Bell, SS Rubakhin, JV Sweedler Analytical chemistry 92 (13), 9338-9347, 2020 | 58 | 2020 |
| Toward generalizable prediction of antibody thermostability using machine learning on sequence and structure features A Harmalkar, R Rao, Y Richard Xie, J Honer, W Deisting, J Anlahr, ... MAbs 15 (1), 2163584, 2023 | 14 | 2023 |
| Enhancing the throughput of FT mass spectrometry imaging using joint compressed sensing and subspace modeling YR Xie, DC Castro, SS Rubakhin, JV Sweedler, F Lam Analytical chemistry 94 (13), 5335-5343, 2022 | 14 | 2022 |
| Accelerating Fourier transform-ion cyclotron resonance mass spectrometry imaging using a subspace approach YR Xie, DC Castro, F Lam, JV Sweedler Journal of the American Society for Mass Spectrometry 31 (11), 2338-2347, 2020 | 11 | 2020 |
| Multiscale biochemical mapping of the brain through deep-learning-enhanced high-throughput mass spectrometry YR Xie, DC Castro, SS Rubakhin, TJ Trinklein, JV Sweedler, F Lam Nature Methods 21 (3), 521-530, 2024 | 8 | 2024 |
| Data-Driven and Machine Learning-Based Framework for Image-Guided Single-Cell Mass Spectrometry YR Xie, VK Chari, DC Castro, R Grant, SS Rubakhin, JV Sweedler Journal of proteome research 22 (2), 491-500, 2023 | 5 | 2023 |
| A language-based recommendation system for material discovery J Qu, YR Xie, E Ertekin ICML SynS&ML Workshop, 2023 | 5 | 2023 |
| Leveraging language representation for materials exploration and discovery J Qu, YR Xie, KM Ciesielski, CE Porter, ES Toberer, E Ertekin npj Computational Materials 10 (1), 58, 2024 | 3 | 2024 |
| Integrative Multiscale Biochemical Mapping of the Brain via Deep-Learning-Enhanced High-Throughput Mass Spectrometry YR Xie, DC Castro, SS Rubakhin, TJ Trinklein, JV Sweedler, F Lam bioRxiv, 2023 | 2 | 2023 |
| Leveraging language representation for material recommendation, ranking, and exploration J Qu, YR Xie, KM Ciesielski, CE Porter, ES Toberer, E Ertekin arXiv preprint arXiv:2305.01101, 2023 | 2 | 2023 |
| Subspace approach to accelerate fourier transform mass spectrometry imaging F Lam, JV Sweedler, Y Xie US Patent App. 17/705,979, 2022 | | 2022 |
| Enhancing the Throughput of FT Mass Spectrometry Imaging Using Compressed Sensing and Subspace Modeling YR Xie, DC Castro, SS Rubakhin, JV Sweedler, F Lam | | 2021 |
