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RESEARCH PAPER · Frontiers in Analytical Science · 2024

A retrospective view on non-linear methods in chemometrics, and future directions

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9 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

A retrospective view on non-linear methods in chemometrics, and future directionsOriginalGenerative Adversarial Network-driven high-resolution Raman spectral generation for accurate molecular feature recognition2A Greener, Safer, and More Understandable AI for Natural Science and Technology1Interpretability in near-infrared (NIR) spectroscopy: Current pathways to the long-standing challenge86Artificial Intelligence‐Enabled Analytical Technologies for Chemical Engineering7Advances in near-infrared spectroscopy for coal analysis0Engineering an interpretable chemometric pipeline for sugarcane wine fermentation using synthetic spectra and explainable ensembles0Multiblock Chemometric and Machine Learning Optimization of Energy‐Assisted Extraction From Hawthorn ( Crataegus songarica K. Koch) Fruit0ATR-FTIR spectroscopic characterization and interpretable machine learning for time since injury estimation in rat scabs0Machine learning–enabled vibrational spectroscopy for translational bioclinical applications0

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  1. Generative Adversarial Network-driven high-resolution Raman spectral generation for accurate molecular feature recognition

    The Analyst · 2025-01-01

    Vikas Yadav, Abhay Kumar Tiwari, Soumik Siddhanta

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  2. A Greener, Safer, and More Understandable AI for Natural Science and Technology

    Journal of Chemometrics · 2025-01-18

    Harald A. Martens

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  3. Interpretability in near-infrared (NIR) spectroscopy: Current pathways to the long-standing challenge

    TrAC Trends in Analytical Chemistry · 2025-04-14

    Krzysztof Bernard Beć, Justyna Grabska, Christian Wolfgang Huck

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  4. Artificial Intelligence‐Enabled Analytical Technologies for Chemical Engineering

    Chemical Engineering & Technology · 2026-04-01

    Sonia Jenifer Rayen, Ravikumar Jayabal, Pradeep Kumar Singh, Vinod Kumar Naidu Pamuluri, Sathish Kannan, Manikandan Ayyar, Shanmugapriya D, Madhappan Santhamoorthy, Mirjalol Ismoilov

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  5. Advances in near-infrared spectroscopy for coal analysis

    International Journal of Coal Preparation and Utilization · 2026-04-10

    Jiahua Cui, Di Su, Silong Zhou, Xiaosong Bai, Zechao Huangfu, Lin Ma, Yuntao Kang, Gen Huang, Jiushuai Deng, Xin Sun, Hua Xu

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  6. Engineering an interpretable chemometric pipeline for sugarcane wine fermentation using synthetic spectra and explainable ensembles

    Chemometrics and Intelligent Laboratory Systems · 2026-04-29

    Ebenezer Aquisman Asare, Dickson Abdul-Wahab, Elsie Effah Kaufmann, Rafeah Binti Wahi, Zainab Ngaini, Archibold Buah-Kwofie, Abdul Rashid Dickson

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  7. Multiblock Chemometric and Machine Learning Optimization of Energy‐Assisted Extraction From Hawthorn ( Crataegus songarica K. Koch) Fruit

    Journal of Food Science · 2026-06-30

    Mashkhura Sodikjonovna Zokirova, Narges Samanian

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  8. ATR-FTIR spectroscopic characterization and interpretable machine learning for time since injury estimation in rat scabs

    Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2026-07-14

    Hao Xiao, Wenjing Shen, Running Mao, Qiang Chen, Minzhu Zhao, Hongwei Li, Jianbo Li, Qi Wang

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  9. Machine learning–enabled vibrational spectroscopy for translational bioclinical applications

    Microchemical Journal · 2026-09-22

    Bamise I. Egbewole, Taye Motunrayo Ilesanmi, Simeon Kayowa Olatunde, Doyin Blessing Bamidele, Covenant Ebubechi Ogbonna, David B. Olawade

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