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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 assisted designing of Y-series small molecule acceptors: Library generation and property prediction
Farooq Ahmad, Asif Mahmood, Islam H. El Azab, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024) Vol. 453, pp. 115670-115670
Closed Access | Times Cited: 22

Showing 22 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: 6
Dielectric constant prediction of polymers for organic solar cells and generation of library of new organic compounds
Mudassir Hussain Tahir, Mahmoud A. A. Ibrahim, Shaban R. M. Sayed, et al.
Journal of Solid State Chemistry (2025), pp. 125213-125213
Closed Access
Machine learning assisted designing of small molecule acceptors with multiple terminal electron-deficient groups and performance prediction for next-generation photovoltaics
Zunaira Shafiq, Mudassir Hussain Tahir, Syed Shoaib Ahmad Shah, et al.
Journal of Solid State Chemistry (2025), pp. 125240-125240
Closed Access
Polymer design using machine learning: A quest for high glass transition temperature
Abrar U. Hassan, Syed Shoaib Ahmad Shah, Hala M. Abo‐Dief, et al.
Synthetic Metals (2024) Vol. 307, pp. 117659-117659
Closed Access | Times Cited: 1
Machine learning assisted designing of conjugated organic chromophores, light absorption, and emission behavior prediction
Yulin Xie, Ghulam Mustafa, Najla AlMasoud, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 321, pp. 124746-124746
Closed Access | Times Cited: 1
Designing of small molecule donors with the help of machine learning for organic solar cells and performance prediction
Bilal Siddique, Taghrid S. Alomar, Mudassir Hussain Tahir, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024), pp. 116026-116026
Closed Access | Times Cited: 1
Machine Learning Approaches for Predicting Power Conversion Efficiency in Organic Solar Cells: A Comprehensive Review
Yang Jiang, Chuang Yao, Yezi Yang, et al.
Solar RRL (2024)
Closed Access | Times Cited: 1
A systematic approach to generate polymer library: A search for polymers with high dipole moment
Khadijah Mohammedsaleh Katubi, Syed Shoaib Ahmad Shah, Sumaira Naeem, et al.
Chemical Physics Letters (2024) Vol. 850, pp. 141450-141450
Closed Access
Machine learning assisted designing of low bandgap indacenodithiophene (IDT)-based organic semi-conductors
Jawayria Najeeb, Mudassir Hussain Tahir, Ahmed I. Hanafy, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024) Vol. 457, pp. 115877-115877
Closed Access
Machine learning using fingerprints and dye design in the search of lower hole reorganization energy.
Cunming Shu, Ghulam Mustafa, Mudassir Hussain Tahir, et al.
Dyes and Pigments (2024) Vol. 231, pp. 112382-112382
Closed Access
Generation of chemical library of near-IR dyes for photovoltaics applications
Yurong Guan, Mudassir Hussain Tahir, Yasser M. Riyad, et al.
Dyes and Pigments (2024) Vol. 231, pp. 112429-112429
Closed Access
How to choose proper electron acceptor groups for highly efficient copper electrolyte-based dye-sensitized solar cells?
Huimin Xie, Xing Hu, Zi-feng Gu, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024), pp. 116060-116060
Closed Access
Machine learning assisted prediction of absorption maxima in cyclohexene: A comparison using molecular descriptors and fingerprints
Mudassir Hussain Tahir, Sumaira Naeem, Ashraf Y. Elnaggar, et al.
Chemical Physics (2024) Vol. 588, pp. 112476-112476
Closed Access
Polymer design with enhanced crystallization tendency aided by machine learning
Ejaz Hussain, Mudassir Hussain Tahir, Avijit Dalal, et al.
Physica B Condensed Matter (2024) Vol. 694, pp. 416437-416437
Closed Access
Data-driven designing of organic electrode materials for batteries and property prediction
Muhammad Saqib, Sana Farooq, Mohamed Mohamed Soliman, et al.
Journal of Solid State Chemistry (2024), pp. 125059-125059
Closed Access
Accelerated discovery of polymer donors for organic solar cells through machine learning: From library creation to performance forecasting
Mudassir Hussain Tahir, Aftab Farrukh, Faleh Zafer Alqahtany, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 326, pp. 125298-125298
Closed Access
Generation of Database of Polymer Acceptors and Machine Learning‐Assisted Screening of Efficient Candidates
Mudassir Hussain Tahir, Naeem‐Ul‐Haq Khan, Khalid M. Elhindi
International Journal of Quantum Chemistry (2024) Vol. 124, Iss. 21
Closed Access
Data-driven designing of dyes: Chemical space generation and dipole moment prediction
Mudassir Hussain Tahir, Tagir Kadyrov, Ihab Mohamed Moussa
Materials Science and Engineering B (2024) Vol. 311, pp. 117792-117792
Closed Access
Machine learning assisted designing of hole-transporting materials for high performance perovskite solar cells
Muhammad Saqib, Uzma Shoukat, Mohamed Mohamed Soliman, et al.
Chemical Physics (2024) Vol. 589, pp. 112515-112515
Closed Access
UV/visible absorption maxima prediction of water-soluble organic compounds and generation of library of new organic compounds
Aftab Farrukh, Ibrahim A. Shaaban, M.S. Al-Assiri, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2024) Vol. 328, pp. 125453-125453
Closed Access
Machine Learning-Assisted Designing and Screening of Polymers with a High Melting Point: Database Visualization and Synthetic Feasibility Assessment
Zaheer Ahmed Dayo, Guosong Jiang, Mohamed A. El-Tayeb, et al.
ACS Omega (2024) Vol. 9, Iss. 48, pp. 47480-47488
Open Access
Data driven design of dyes with high dielectric constant for efficient optoelectronics
Laraib Kiran, Muhammad Hammad Ijaz, Z.I. Zaki, et al.
Journal of Solid State Chemistry (2024), pp. 125169-125169
Closed Access
Data-mining and machine learning based search for optimal materials for perovskite and organic solar cells
Nafees Ahmad, Mahmoud A. A. Ibrahim, Shaban R. M. Sayed, et al.
Solar Energy (2024) Vol. 287, pp. 113223-113223
Closed Access
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