OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Data-driven machine learning models for quick prediction of the Stokes shift of organic fluorescent materials
Yihuan Zhao, Kuan Chen, Lei Zhu, et al.
Dyes and Pigments (2023) Vol. 220, pp. 111670-111670
Closed Access | Times Cited: 13
Yihuan Zhao, Kuan Chen, Lei Zhu, et al.
Dyes and Pigments (2023) Vol. 220, pp. 111670-111670
Closed Access | Times Cited: 13
Showing 13 citing articles:
Machine learning based hybrid ensemble models for prediction of organic dyes photophysical properties: Absorption wavelengths, emission wavelengths, and quantum yields
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 11
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
APL Machine Learning (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 11
Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
Hiroyasu Ochiai, Hiromasa Kaneko
ACS Omega (2025) Vol. 10, Iss. 1, pp. 665-672
Open Access | Times Cited: 1
Hiroyasu Ochiai, Hiromasa Kaneko
ACS Omega (2025) Vol. 10, Iss. 1, pp. 665-672
Open Access | Times Cited: 1
NIRFluor: A Deep Learning Platform for Rapid Screening of Small Molecule Near-Infrared Fluorophores with Desired Optical Properties
Xiaozhi Wang, Hai‐Long Wu, Tong Wang, et al.
Analytical Chemistry (2025)
Closed Access | Times Cited: 1
Xiaozhi Wang, Hai‐Long Wu, Tong Wang, et al.
Analytical Chemistry (2025)
Closed Access | Times Cited: 1
Optimized Machine learning techniques Enable prediction of organic dyes photophysical Properties: Absorption Wavelengths, emission Wavelengths, and quantum yields
Kapil Dev Mahato, Uday Kumar
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 308, pp. 123768-123768
Closed Access | Times Cited: 17
Kapil Dev Mahato, Uday Kumar
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2023) Vol. 308, pp. 123768-123768
Closed Access | Times Cited: 17
Development of organic aggregation-induced emission fluorescent materials based on machine learning models and experimental validation
Yihuan Zhao, Kuan Chen, Binhai Yu, et al.
Journal of Molecular Structure (2024) Vol. 1317, pp. 139126-139126
Closed Access | Times Cited: 4
Yihuan Zhao, Kuan Chen, Binhai Yu, et al.
Journal of Molecular Structure (2024) Vol. 1317, pp. 139126-139126
Closed Access | Times Cited: 4
Machine learning assisted prediction of disperse dye exhaustion on polylactic acid fiber with interpretable model
Shicheng Liu, Du Chen, Fengxuan Zhang, et al.
Dyes and Pigments (2025), pp. 112693-112693
Closed Access
Shicheng Liu, Du Chen, Fengxuan Zhang, et al.
Dyes and Pigments (2025), pp. 112693-112693
Closed Access
Stokes shift prediction of fluorescent organic dyes using machine learning based hybrid cascade models
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
Dyes and Pigments (2023) Vol. 222, pp. 111918-111918
Closed Access | Times Cited: 10
Kapil Dev Mahato, Shraban Das, Chandrashekhar Azad, et al.
Dyes and Pigments (2023) Vol. 222, pp. 111918-111918
Closed Access | Times Cited: 10
AI-driven precision subcellular navigation with fluorescent probes
Yingli Zhu, Yanpeng Fang, Wenzhi Huang, et al.
Journal of Materials Chemistry B (2024) Vol. 12, Iss. 43, pp. 11054-11062
Closed Access | Times Cited: 3
Yingli Zhu, Yanpeng Fang, Wenzhi Huang, et al.
Journal of Materials Chemistry B (2024) Vol. 12, Iss. 43, pp. 11054-11062
Closed Access | Times Cited: 3
Data-driven machine learning models for predicting the maximum absorption and emission wavelengths of single benzene fluorophores
Y.D. Jin, Z.-Y. Wang, Miao Dong, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 326, pp. 125213-125213
Closed Access | Times Cited: 2
Y.D. Jin, Z.-Y. Wang, Miao Dong, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 326, pp. 125213-125213
Closed Access | Times Cited: 2
Synthesis of a Large Stokes-Shift Dye and Intercalation into the Nanochannels of Zeolite L
Fabian Walther, M. Bornand, Achim Ecker, et al.
(2024)
Closed Access
Fabian Walther, M. Bornand, Achim Ecker, et al.
(2024)
Closed Access
The Synthesis of a Large Stokes-Shift Dye and Intercalation into the Nanochannels of Zeolite L
Fabian Walther, Achim Ecker, Dominik Brühwiler, et al.
Materials (2024) Vol. 17, Iss. 22, pp. 5669-5669
Open Access
Fabian Walther, Achim Ecker, Dominik Brühwiler, et al.
Materials (2024) Vol. 17, Iss. 22, pp. 5669-5669
Open Access
Optimized Machine Learning Techniques Enable Prediction of Organic Dyes Photophysical Properties: Absorption Wavelengths, Emission Wavelengths, and Quantum Yields
Kapil Dev Mahato, Uday Kumar
(2023)
Closed Access | Times Cited: 1
Kapil Dev Mahato, Uday Kumar
(2023)
Closed Access | Times Cited: 1
Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques
Kapil Dev Mahato
SSRN Electronic Journal (2023)
Closed Access
Kapil Dev Mahato
SSRN Electronic Journal (2023)
Closed Access
