Aller au contenu principal
Profil bibliographique

Xiaoqi Shi

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

22Publications signalées
178Citations signalées
4Affiliations récentes

Les institutions déclarées

Les domaines associés

NMR spectroscopy and applicationsAdvanced NMR Techniques and ApplicationsAdvanced MRI Techniques and ApplicationsMolecular spectroscopy and chiralityMetabolomics and Mass Spectrometry Studies

Les publications récentes

2026 article OpenAlex

Enhancing NMR Chemical Exchange Signals of Azo Compounds via Chemical-Shift Scaling

Xiaoqi Shi, Zeng Qing, Huiqiang Lu, Yi Luo et autres

Azo compounds offer wide-range applications due to their unique structures and properties. The N═N double bond in azo compounds can form a nonrotatable plane, frequently causing spins to experience different magnetic environments, and thus leading to chemical exchange. This may result in …

cn, us, bg (code pays fourni par la source)

0 citations Analytical Chemistry
Accès ouvert 2026 preprint OpenAlex

Quantitative Analysis in Complex Reaction Systems: The Role of USTAR in High-Resolution NMR Spectroscopy

Xiaoqi Shi, Qing Zeng, L S Wang, Wen Zhu et autres

Nuclear magnetic resonance (NMR) has played an essential role in real-time monitoring of reaction systems. However, accurate quantification of complex reactions remains challenging due to issues such as spectral overlap mainly due to structural similarities between reactants and products, low product concentrations …

cn, us (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2025 article OpenAlex

Fast acquisition of high resolution liquid NMR spectroscopy

Wen Zhu, Mengjie Qiu, Yao Luo, Xiaoqi Shi et autres

Nuclear magnetic resonance (NMR) spectroscopy is a powerful tool for analyzing molecular structure and composition. However, traditional NMR experiments suffer from long acquisition times, especially in multidimensional NMR spectroscopy. This problem, to some extent, limits broader applications of NMR techniques. Various methods …

cn (code pays fourni par la source)

3 citations Magnetic Resonance Letters
2025 article OpenAlex

Sensitivity-Enhanced Pure Shift Spectroscopy Empowered by Deep Learning and PSYCHE

Xiaoxu Zheng, Wen Zhu, Xiaoqi Shi, Xinjing Gao et autres

Proton nuclear magnetic resonance (NMR) is the most used NMR technique. However, the limited range of chemical shifts and the complicated multiplet splitting often lead to severe spectral overlapping, making spectral analysis complex. Pure shift methods convert multiplets into singlets to greatly …

cn, us (code pays fourni par la source)

4 citations Analytical Chemistry
Accès ouvert 2025 preprint OpenAlex

Enhancing NMR chemical exchange signal of azo compound via chemical-shift scaling

Xiaoqi Shi, Qing Zeng, Huiqiang Lu, Yao Luo et autres

Azo compounds offer wide-range applications due to their unique structures and properties. The N = N double bond in azo compounds can form a non-rotatable plane, frequently causing spins to experience different magnetic environments, and thus leading to chemical exchange. This may …

cn (code pays fourni par la source)

0 citations ChemRxiv
Accès ouvert 2025 article OpenAlex

In Situ Monitoring of Kefir Fermentation Process Using Signal-Separable NMR Techniques

Xiaoqi Shi, Yaoping Gou, Mengjie Qiu, Wen Zhu et autres

The fermentation time of fermented milk significantly influences its taste and nutritional value. Monitoring the fermentation process is crucial for ensuring the quality, flavor, and safety of fermented products. In this paper, the kefir fermentation process, as an example, was monitored in …

cn (code pays fourni par la source)

0 citations Foods
Accès ouvert 2025 article OpenAlex

Deep learning network for NMR spectra reconstruction in time-frequency domain and quality assessment

Yao Luo, Wenhan Chen, Zhenhua Su, Xiaoqi Shi et autres

High-quality nuclear magnetic resonance (NMR) spectra can be rapidly acquired by combining non-uniform sampling techniques (NUS) with reconstruction algorithms. However, current deep learning (DL) based reconstruction methods focus only on single-domain reconstruction (time or frequency domain), leading to drawbacks like peak loss …

cn (code pays fourni par la source)

32 citations Nature Communications

BNTIC News n’est pas le producteur de ces données. Les publications sont interrogées à la demande dans Crossref, OpenAIRE, DOAJ, Europe PMC, HAL, DataCite, AfricArXiv, ROR et la Banque mondiale, sans clé d’accès. OpenAlex reste optionnel. Aucun service payant n’est nécessaire et aucune donnée externe n’est enregistrée en base. Consulter les sources et leurs limites.