11 citations as recorded by crossref.

1. A Monte Carlo Method for Analyzing Systematic and Random Uncertainty in Quantitative Nuclear Magnetic Resonance Measurements G. Khirich 10.1021/acs.analchem.1c00407
2. Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few in Vivo Data D. Chen et al. 10.1109/TCI.2023.3267623
3. NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm M. Brinks Sørensen et al. 10.1016/j.heliyon.2024.e36998
4. Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra toward Food Process Monitoring K. Hara et al. 10.3390/pr10071264
5. Accurate measurements of self‐diffusion coefficients with benchtop NMR using a QM model‐based approach E. Steimers et al. 10.1002/mrc.5300
6. Calibration‐Free Chemical Process and Quality Control Units as Enablers for Modular Production  M. Bornemann‐Pfeiffer et al. 10.1002/cite.202000150
7. Rational method for defining and quantifying pseudo-components based on NMR spectroscopy T. Specht et al. 10.1039/D3CP00509G
8. Automated nuclear magnetic resonance fingerprinting of mixtures T. Specht et al. 10.1002/mrc.5381
9. Spectral and chromatographic analysis of food-related components produced by bacteria, plants, and fungi. A review F. Granados-Chinchilla 10.1016/j.microc.2023.109499
10. Application of Odd-Order Derivatives in Fourier Transform Nuclear Magnetic Resonance Spectroscopy toward Quantitative Deconvolution S. Chen et al. 10.1021/acsomega.4c04536
11. Artificial neural networks for quantitative online NMR spectroscopy S. Kern et al. 10.1007/s00216-020-02687-5