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OpenAlex Citation Counts

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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:

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

Showing 17 citing articles:

Generation of library of dyes for photovoltaic applications: A machine learning assisted framework
Nafees Ahmad, Bandar R. Alsehli, Asif Mahmood, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024), pp. 116053-116053
Closed Access | Times Cited: 8
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
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
A machine learning and DFT assisted analysis of benzodithiophene based organic dyes for possible photovoltaic applications
Cihat Güleryüz, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024) Vol. 460, pp. 116157-116157
Closed Access | Times Cited: 7
Predictive Modeling of Allowable Storage Time of Finger Millet Grains using Artificial Neural Network and Support Vector Regression Approaches
T. Jayasree Joshi, P. Srinivasa Rao
Journal of Food Engineering (2024) Vol. 383, pp. 112224-112224
Closed Access | Times Cited: 5
Machine learning-aided algorithm for predicting spectral properties and cytotoxicity of BODIPY-appended platinum complexes
Michael M. Lukanov, Ksenia V. Ksenofontova, Anastasia A. Kerner, et al.
Optical Materials (2025), pp. 116703-116703
Closed Access
Curating Benzothiophene Experimental Absorption and Emission Spectra to Design Fluorescent Organic Polymer Chemical Space: A Machine Learning Quest
Shaimaa Hassan Mallah, Azal Shakir Waheeb, Abrar U. Hassan, et al.
Journal of Fluorescence (2025)
Closed Access
Harnessing machine learning for the rational design of high-performance fluorescent dyes
Nafees Ahmad, Ghada Eid, Mohamed M El-Toony, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2025) Vol. 334, pp. 125918-125918
Closed Access
Fluor-Predictor: An Interpretable Tool for Multiproperty Prediction and Retrieval of Fluorescent Dyes
Wenxiang Song, Le Xiong, Xinmin Li, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Machine Learning-Driven Web Tools for Predicting Properties of Materials and Molecules
Dmitriy M. Makarov, Pavel S. Bocharov, Michail M. Lukanov, et al.
Challenges and advances in computational chemistry and physics (2025), pp. 273-292
Closed Access
Applications of Predictive Modeling for Dye-Sensitized Solar Cells (DSSCs)
Supratik Kar
Challenges and advances in computational chemistry and physics (2025), pp. 167-198
Closed Access
A machine learning assisted designing and chemical space generation of benzophenone based organic semiconductors with low lying LUMO energies
Cihat Güleryüz, Abrar U. Hassan, Hasan Güleryüz, et al.
Materials Science and Engineering B (2025) Vol. 317, pp. 118212-118212
Closed Access
A faster computational frame work for dye design and screening: A goal to achieve higher ionization energy
Sumaira Naeem, Tagir Kadyrov, Norah Salem Alsaiari, et al.
Chemical Physics Letters (2025), pp. 142106-142106
Closed Access
Machine Learning Prediction of Quantum Yields and Wavelengths of Aggregation-Induced Emission Molecules
Hele Bi, Jiale Jiang, Junzhao Chen, et al.
Materials (2024) Vol. 17, Iss. 7, pp. 1664-1664
Open Access | Times Cited: 1
Lattice thermal conductivity of material and its correlation with Debye temperature using regression models
Sayantan Dandapat, Nepal Sahu, Chandrashekhar Azad, et al.
(2024), pp. 1-6
Closed Access
Study and prediction of photocurrent density with external validation using machine learning models
Nepal Sahu, Chandrashekhar Azad, Uday Kumar
International Journal of Hydrogen Energy (2024) Vol. 92, pp. 1335-1355
Closed Access
Investigation of the Combination of Indoline and Naphthalimide in the Preparation of Photosensitizers for Photovoltaic Devices
Mozhgan Hosseinnezhad, Sohrab Nasiri, N. Venkatramaiah, et al.
Journal of Electronic Materials (2024)
Closed Access
Stokes Shift Prediction of Fluorescent Organic Dyes Using Machine Learning Regression Techniques
Kapil Dev Mahato
SSRN Electronic Journal (2023)
Closed Access
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