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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:

Machine learning-based q-RASPR modeling of power conversion efficiency of organic dyes in dye-sensitized solar cells
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Sustainable Energy & Fuels (2023) Vol. 7, Iss. 14, pp. 3412-3431
Closed Access | Times Cited: 15

Showing 15 citing articles:

How to correctly develop q-RASAR models for predictive cheminformatics
Arkaprava Banerjee, Kunal Roy
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 9, pp. 1017-1022
Closed Access | Times Cited: 10
Application of machine learning‐based read‐across structure‐property relationship (RASPR) as a new tool for predictive modelling: Prediction of power conversion efficiency (PCE) for selected classes of organic dyes in dye‐sensitized solar cells (DSSCs)
Souvik Pore, Arkaprava Banerjee, Kunal Roy
Molecular Informatics (2024) Vol. 43, Iss. 4
Closed Access | Times Cited: 7
Benzothiophene semiconductor polymer design by machine learning with low exciton binding energy: A vast chemical space generation for new structures
Shaimaa Hassan Mallah, Cihat Güleryüz, Sajjad Hussain Sumrra, et al.
Materials Science in Semiconductor Processing (2025) Vol. 190, pp. 109331-109331
Closed Access
Advancements in ruthenium-based sensitizers for dye-sensitized solar cells - from structural tailoring to AI-ML
K. Sreedhar, S. Mahalakshmi
Coordination Chemistry Reviews (2025) Vol. 530, pp. 216472-216472
Closed Access
Theoretical modelling of metal-based and metal-free dye sensitizers for efficient dye-sensitized solar cells: A review
Wenpeng Wu, Yuanyuan Li, Jinglai Zhang, et al.
Solar Energy (2024) Vol. 277, pp. 112748-112748
Closed Access | Times Cited: 5
Insights into Pharmacokinetic Properties for Exposure Chemicals: Predictive Modelling of Human Plasma Fraction Unbound (fu) and Hepatocyte Intrinsic Clearance (Clint) Data Using Machine Learning
Souvik Pore, Kunal Roy
Digital Discovery (2024) Vol. 3, Iss. 9, pp. 1852-1877
Open Access | Times Cited: 4
Development of a read-across-derived classification model for the predictions of mutagenicity data and its comparison with traditional QSAR models and expert systems
Sapna Kumari Pandey, Kunal Roy
Toxicology (2023) Vol. 500, pp. 153676-153676
Closed Access | Times Cited: 12
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: 11
The Round Robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
Dimitra‐Danai Varsou, Arkaprava Banerjee, Joyita Roy, et al.
(2024)
Open Access | Times Cited: 1
Predictive binary mixture toxicity modeling of fluoroquinolones (FQs) and the projection of toxicity of hypothetical binary FQ mixtures: a combination of 2D-QSAR and machine-learning approaches
Mainak Chatterjee, Kunal Roy
Environmental Science Processes & Impacts (2023) Vol. 26, Iss. 1, pp. 105-118
Closed Access | Times Cited: 5
The round-robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
Dimitra‐Danai Varsou, Arkaprava Banerjee, Joyita Roy, et al.
Beilstein Journal of Nanotechnology (2024) Vol. 15, pp. 1536-1553
Open Access | Times Cited: 1
Tools, Applications, and Case Studies (q-RA and q-RASAR)
Kunal Roy, Arkaprava Banerjee
Springer briefs in molecular science (2024), pp. 51-88
Closed Access
Predictive cheminformatics modeling of reorganization energy (RE) for p-type organic semiconductors: Integration of quantitative read-across structure-property relationship (q-RASPR) and stacking regression analysis
Shubham Kumar Pandey, Kunal Roy
Materials Today Communications (2024) Vol. 41, pp. 110430-110430
Closed Access
Molecular Similarity in Predictive Toxicology with a Focus on the q-RASAR Technique
Arkaprava Banerjee, Kunal Roy
Methods in molecular biology (2024), pp. 41-63
Closed Access
Research progress and prospects of machine learning applications in renewable energy: a comprehensive bibliometric-based review
Xuping Wang, Yong Shen, Chang Su
International Journal of Environmental Science and Technology (2024)
Closed Access
Intelligent Consensus-Based Predictions of Early Life Stage Toxicity in Fish Tested in Compliance with OECD Test Guideline 210
Souvik Pore, A. Pelloux, Anders Bergqvist, et al.
Aquatic Toxicology (2024) Vol. 279, pp. 107216-107216
Closed 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
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