Research graph
References from Shared-private multimodal fusion of near-infrared diffuse-reflectance and UV–Vis chromogenic spectra for geographical authentication of Meconopsis integrifolia. Local targets link to admitted publications; unresolved targets remain external evidence.
Assessment of population genetic diversity of medicinal Meconopsis integrifolia (Maxim.) franch. Using newly developed SSR markers
10.3390/plants13182561 · 2024 · External reference
In vitro and in vivo hepatoprotective and antioxidant activity of ethanolic extract from Meconopsis integrifolia (Maxim.) Franch
10.1016/j.jep.2013.05.027 · 2013 · External reference
Investigation of active components of Meconopsis integrifolia (Maxim.) franch in mitigating non-alcoholic fatty liver disease
10.3390/ijms26010050 · 2025 · External reference
Structure and function analysis of cultivated Meconopsis integrifolia soil microbial community based on high-throughput sequencing and culturability
10.3390/biology12020160 · 2023 · External reference
Quality and safety of herbal medical products: regulation and the need for quality assurance along the value chains
10.1111/bcp.12586 · 2015 · External reference
Identification of anti-nociceptive constituents from the pollen of Typha angustifolia L. using effect-directed fractionation
10.1080/14786419.2018.1539979 · 2020 · External reference
Chemical characterization of extracts of leaves of Kadsua coccinea (Lem.) A.C. Sm. by UHPLC-Q-Exactive Orbitrap mass spectrometry and assessment of their antioxidant and anti-inflammatory activities
10.1016/j.biopha.2022.112828 · 2022 · External reference
Extraction, purification, structural characterization, and anti-inflammatory activity of a polysaccharide from Lespedeza Formosa
10.1016/j.ijbiomac.2025.140154 · 2025 · External reference
Separation, purification, structure characterization, and immune activity of a polysaccharide from Alocasia cucullata obtained by freeze-thaw treatment
10.1016/j.ijbiomac.2024.137232 · 2024 · External reference
Species authentication and geographical origin discrimination of herbal medicines by near infrared spectroscopy: a review
10.1016/j.jpha.2015.04.001 · 2015 · External reference
Application of near-and mid-infrared spectroscopy combined with chemometrics for discrimination and authentication of herbal products: a review
10.7324/japs.2019.90319 · 2019 · External reference
Comprehensive evaluation of Dendrobium officinale from different geographical origins using near-infrared spectroscopy and chemometrics
10.1016/j.saa.2022.121249 · 2022 · External reference
Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques
10.1016/j.jfca.2023.105265 · 2023 · External reference
Review of the most common pre-processing techniques for near-infrared spectra
10.1016/j.trac.2009.07.007 · 2009 · External reference
Smoothing and differentiation of data by simplified least squares procedures
10.1021/ac60214a047 · 1964 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
10.1016/j.aca.2009.06.046 · 2009 · External reference
Isolation Forest
2008 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Support-vector networks
10.1023/a:1022627411411 · 1995 · External reference
LightGBM: a highly efficient gradient boosting decision tree
2017 · External reference
Learning representations by back-propagating errors
10.1038/323533a0 · 1986 · External reference
Three-stage training strategy phase unwrapping method for high speckle noises
10.1364/oe.544968 · 2024 · External reference
Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning
10.1007/s10103-025-04487-8 · 2025 · External reference
A review of data fusion techniques
10.1155/2013/704504 · 2013 · External reference
Spectral data fusion in nondestructive detection of food products: strategies, recent applications, and future perspectives
10.1111/1541-4337.13301 · 2024 · External reference
Data fusion and multivariate analysis for food authenticity analysis
10.1038/s41467-023-38382-z · 2023 · External reference
Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion
10.1038/s41538-025-00376-0 · 2025 · External reference
Rapid identification of Radix Astragali by data fusion of laser-induced breakdown spectroscopy and Raman spectroscopy coupled with deep learning
10.1016/j.talanta.2024.127016 · 2025 · External reference
Multimodal machine learning: a survey and taxonomy
10.1109/tpami.2018.2798607 · 2019 · External reference
Common and distinct components in data fusion
10.1002/cem.2900 · 2017 · External reference
MISA: Modality-invariant and -specific representations for multimodal sentiment analysis
2020 · External reference
Multimodal deep learning for biomedical data fusion: a review
10.1093/bib/bbab569 · 2022 · External reference
Fast discrimination and quantification analysis of Atractylodis rhizoma using NIR spectroscopy coupled with chemometrics tools
10.1021/acs.jafc.3c08812 · 2024 · External reference
SPiForest: an anomaly detecting algorithm using space partition constructed by probability density-based inverse sampling
10.1109/tnnls.2022.3223342 · 2022 · External reference
The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples
10.1016/j.aca.2023.341532 · 2023 · External reference
Leakage and the reproducibility crisis in machine-learning-based science
10.1016/j.patter.2023.100804 · 2023 · External reference
Being aware of data leakage and cross-validation scaling in chemometric model validation
10.1002/cem.70026 · 2025 · External reference
A review on spectral data preprocessing techniques for machine learning and quantitative analysis
10.1016/j.isci.2025.112759 · 2025 · External reference
An evaluation of different NIR-spectral pre-treatments to derive the soil parameters C and N of a humus-clay-rich soil
10.3390/s21041423 · 2021 · External reference
A review of machine learning for near-infrared spectroscopy
10.3390/s22249764 · 2022 · External reference
A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection
10.1016/j.aca.2023.341782 · 2023 · External reference
NIRS-based fresh grape ripeness prediction with SPA-LASSO spectral feature selection
10.1039/d5ay00403a · 2025 · External reference
Geographic origin discrimination of Millet using Vis-NIR spectroscopy combined with machine learning techniques
10.3390/foods10112767 · 2021 · External reference
Data fusion strategies for the integration of diverse non-destructive spectral sensors (NDSS) in food analysis
10.1016/j.trac.2024.117957 · 2024 · External reference
Note on the sampling error of the difference between correlated proportions or percentages
10.1007/bf02295996 · 1947 · External reference
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
10.1016/j.imavis.2025.105509 · 2025 · External reference
A vision-based inspection system for pharmaceutical production line
10.1007/s11227-025-07135-8 · 2025 · External reference
Collaborative surgical instrument segmentation for monocular depth estimation in minimally invasive surgery
10.1016/j.media.2025.103765 · 2025 · External reference
An improved cross algorithm edge detection method and its application in coal gangue identification
10.1080/19392699.2025.2481147 · 2026 · External reference
Microseismic source localization method based on ABC-CS improved fusion algorithm
10.1007/s11600-026-01843-2 · 2026 · External reference
Common and distinct components in data fusion
10.1002/cem.2900 · ExternalCitation · doi-reference
Being aware of data leakage and cross-validation scaling in chemometric model validation
10.1002/cem.70026 · ExternalCitation · doi-reference
Note on the sampling error of the difference between correlated proportions or percentages
10.1007/bf02295996 · ExternalCitation · doi-reference
Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning
10.1007/s10103-025-04487-8 · ExternalCitation · doi-reference
A vision-based inspection system for pharmaceutical production line
10.1007/s11227-025-07135-8 · ExternalCitation · doi-reference
Microseismic source localization method based on ABC-CS improved fusion algorithm
10.1007/s11600-026-01843-2 · ExternalCitation · doi-reference
Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration
10.1016/j.aca.2009.06.046 · ExternalCitation · doi-reference
The importance of choosing a proper validation strategy in predictive models. A tutorial with real examples
10.1016/j.aca.2023.341532 · ExternalCitation · doi-reference
A Monte Carlo resampling based multiple feature-spaces ensemble (MFE) strategy for consistency-enhanced spectral variable selection
10.1016/j.aca.2023.341782 · ExternalCitation · doi-reference
Chemical characterization of extracts of leaves of Kadsua coccinea (Lem.) A.C. Sm. by UHPLC-Q-Exactive Orbitrap mass spectrometry and assessment of their antioxidant and anti-inflammatory activities
10.1016/j.biopha.2022.112828 · ExternalCitation · doi-reference
Separation, purification, structure characterization, and immune activity of a polysaccharide from Alocasia cucullata obtained by freeze-thaw treatment
10.1016/j.ijbiomac.2024.137232 · ExternalCitation · doi-reference
Extraction, purification, structural characterization, and anti-inflammatory activity of a polysaccharide from Lespedeza Formosa
10.1016/j.ijbiomac.2025.140154 · ExternalCitation · doi-reference
A systematic review of intermediate fusion in multimodal deep learning for biomedical applications
10.1016/j.imavis.2025.105509 · ExternalCitation · doi-reference
A review on spectral data preprocessing techniques for machine learning and quantitative analysis
10.1016/j.isci.2025.112759 · ExternalCitation · doi-reference
In vitro and in vivo hepatoprotective and antioxidant activity of ethanolic extract from Meconopsis integrifolia (Maxim.) Franch
10.1016/j.jep.2013.05.027 · ExternalCitation · doi-reference
Geographical origin identification of Chinese red wines using ultraviolet-visible spectroscopy coupled with machine learning techniques
10.1016/j.jfca.2023.105265 · ExternalCitation · doi-reference
Species authentication and geographical origin discrimination of herbal medicines by near infrared spectroscopy: a review
10.1016/j.jpha.2015.04.001 · ExternalCitation · doi-reference
Collaborative surgical instrument segmentation for monocular depth estimation in minimally invasive surgery
10.1016/j.media.2025.103765 · ExternalCitation · doi-reference
Leakage and the reproducibility crisis in machine-learning-based science
10.1016/j.patter.2023.100804 · ExternalCitation · doi-reference
Comprehensive evaluation of Dendrobium officinale from different geographical origins using near-infrared spectroscopy and chemometrics
10.1016/j.saa.2022.121249 · ExternalCitation · doi-reference
Rapid identification of Radix Astragali by data fusion of laser-induced breakdown spectroscopy and Raman spectroscopy coupled with deep learning
10.1016/j.talanta.2024.127016 · ExternalCitation · doi-reference
Review of the most common pre-processing techniques for near-infrared spectra
10.1016/j.trac.2009.07.007 · ExternalCitation · doi-reference
Data fusion strategies for the integration of diverse non-destructive spectral sensors (NDSS) in food analysis
10.1016/j.trac.2024.117957 · ExternalCitation · doi-reference
Smoothing and differentiation of data by simplified least squares procedures
10.1021/ac60214a047 · ExternalCitation · doi-reference
Fast discrimination and quantification analysis of Atractylodis rhizoma using NIR spectroscopy coupled with chemometrics tools
10.1021/acs.jafc.3c08812 · ExternalCitation · doi-reference
Random forests
10.1023/a:1010933404324 · ExternalCitation · doi-reference
Support-vector networks
10.1023/a:1022627411411 · ExternalCitation · doi-reference
Learning representations by back-propagating errors
10.1038/323533a0 · ExternalCitation · doi-reference
Data fusion and multivariate analysis for food authenticity analysis
10.1038/s41467-023-38382-z · ExternalCitation · doi-reference
Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion
10.1038/s41538-025-00376-0 · ExternalCitation · doi-reference
NIRS-based fresh grape ripeness prediction with SPA-LASSO spectral feature selection
10.1039/d5ay00403a · ExternalCitation · doi-reference
Identification of anti-nociceptive constituents from the pollen of Typha angustifolia L. using effect-directed fractionation
10.1080/14786419.2018.1539979 · ExternalCitation · doi-reference
An improved cross algorithm edge detection method and its application in coal gangue identification
10.1080/19392699.2025.2481147 · ExternalCitation · doi-reference
Multimodal deep learning for biomedical data fusion: a review
10.1093/bib/bbab569 · ExternalCitation · doi-reference
SPiForest: an anomaly detecting algorithm using space partition constructed by probability density-based inverse sampling
10.1109/tnnls.2022.3223342 · ExternalCitation · doi-reference
Multimodal machine learning: a survey and taxonomy
10.1109/tpami.2018.2798607 · ExternalCitation · doi-reference
Spectral data fusion in nondestructive detection of food products: strategies, recent applications, and future perspectives
10.1111/1541-4337.13301 · ExternalCitation · doi-reference
Quality and safety of herbal medical products: regulation and the need for quality assurance along the value chains
10.1111/bcp.12586 · ExternalCitation · doi-reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · ExternalCitation · doi-reference
A review of data fusion techniques
10.1155/2013/704504 · ExternalCitation · doi-reference
Three-stage training strategy phase unwrapping method for high speckle noises
10.1364/oe.544968 · ExternalCitation · doi-reference
Structure and function analysis of cultivated Meconopsis integrifolia soil microbial community based on high-throughput sequencing and culturability
10.3390/biology12020160 · ExternalCitation · doi-reference
Geographic origin discrimination of Millet using Vis-NIR spectroscopy combined with machine learning techniques
10.3390/foods10112767 · ExternalCitation · doi-reference
Investigation of active components of Meconopsis integrifolia (Maxim.) franch in mitigating non-alcoholic fatty liver disease
10.3390/ijms26010050 · ExternalCitation · doi-reference
Assessment of population genetic diversity of medicinal Meconopsis integrifolia (Maxim.) franch. Using newly developed SSR markers
10.3390/plants13182561 · ExternalCitation · doi-reference
An evaluation of different NIR-spectral pre-treatments to derive the soil parameters C and N of a humus-clay-rich soil
10.3390/s21041423 · ExternalCitation · doi-reference
A review of machine learning for near-infrared spectroscopy
10.3390/s22249764 · ExternalCitation · doi-reference
Application of near-and mid-infrared spectroscopy combined with chemometrics for discrimination and authentication of herbal products: a review
10.7324/japs.2019.90319 · ExternalCitation · doi-reference
