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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:

Designing of symmetric and asymmetric small molecule acceptors for organic solar cells: A farmwork based on Machine learning, virtual screening and structural analysis
Tayyaba Mubashir, Mudassir Hussain Tahir, M.H.H. Mahmoud, et al.
Journal of Photochemistry and Photobiology A Chemistry (2023) Vol. 444, pp. 114977-114977
Closed Access | Times Cited: 19

Showing 19 citing articles:

Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Xinyuan Bi, Li Lin, Zhou Chen, et al.
Small Methods (2023) Vol. 8, Iss. 1
Closed Access | Times Cited: 47
A machine learning and data-oriented quest to screen the degree of long-range order/disorder in polymeric materials
Cihat Güleryüz, Sajjad Hussain Sumrra, Abrar U. Hassan, et al.
Materials Today Communications (2025), pp. 111624-111624
Closed Access | Times Cited: 1
Designing of Polymers for Photovoltaics Applications and Prediction of Band Gap as a Polymers Screening Criterion
Nafees Ahmad, Ihab Mohamed Moussa, Asif Mahmood, et al.
ACS Applied Energy Materials (2025)
Closed Access | Times Cited: 1
A combined ML and DFT strategy for the prediction of dye candidates for indoor DSSCs
Carmen Coppola, Anna Visibelli, Maria Laura Parisi, et al.
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Computational design of new polymers having low exciton binding energy for organic solar cells fabrication: Chemical generation and visualization
Fatimah Mohammed Alzahrani, Alvi Muhammad Rouf, Jawayria Najeeb, et al.
Journal of Photochemistry and Photobiology A Chemistry (2024) Vol. 450, pp. 115457-115457
Closed Access | Times Cited: 5
Designing Donors and Nonfullerene Acceptors for Organic Solar Cells Assisted by Machine Learning and Fragment‐Based Molecular Fingerprints
Cai‐Rong Zhang, Rui Cao, Xiao‐Meng Liu, et al.
Solar RRL (2025)
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) Vol. 345, pp. 125240-125240
Closed Access
Examining the Relationship between Synthetic Accessibility and Efficiency in Organic Solar Cells: A Statistical Analysis
Sohail Aftab, Farooq Ahmad, Sumaira Naeem, et al.
ACS Applied Energy Materials (2025)
Closed Access
Screening and designing of a large chemical space of organic semiconductors for photodetectors
Muhammad Saqib, Muhammad Sagir, Munawar Lal Joshi, et al.
Materials Today Communications (2024) Vol. 38, pp. 108062-108062
Closed Access | Times Cited: 3
Chemical library generation of polymer acceptors for organic solar cells with higher electron affinity
Fatimah Mohammed Alzahrani, Sumaira Naeem, Numan Khan, et al.
Computational Materials Science (2024) Vol. 239, pp. 112984-112984
Closed Access | Times Cited: 3
Designing of low band gap organic semiconductors through data mining from multiple databases and machine learning assisted property prediction
Muhammad Saqib, Mashal Rani, Tayyaba Mubashir, et al.
Optical Materials (2024) Vol. 150, pp. 115295-115295
Closed Access | Times Cited: 3
Design of organic electronic materials with lower exciton binding energy: machine learning analysis and high-throughput screening
Mudassir Hussain Tahir, Nimra Sultan, Zunaira Shafiq, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 8
Closed Access | Times Cited: 3
An innovative approach to design readily synthesizable polymers for all-polymer solar cells
Norah Salem Alsaiari, Mudassir Hussain Tahir, Aamir Hussain, et al.
Chemical Physics (2024) Vol. 586, pp. 112379-112379
Closed Access | Times Cited: 2
Designing efficient materials for high-performance organic solar cells: Detailed chemical space exploration, machine learning and virtual screening
Muhammad Khurram Tufail, Syed Shoaib Ahmad Shah, Salahuddin Khan, et al.
Chemical Physics Letters (2023) Vol. 834, pp. 140974-140974
Closed Access | Times Cited: 5
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 | Times Cited: 1
Synthetic accessibility-informed designing of efficient organic semi-conductors for organic solar cells
Beriham Basha, Farooq Ahmad, Misbah Sehar Abbasi, et al.
Chemical Physics Letters (2023) Vol. 831, pp. 140852-140852
Closed Access | Times Cited: 2
Performance prediction of polymer-fullerene organic solar cells and data mining-assisted designing of new polymers
Xiao Fei, Muhammad Saqib, Soha Razzaq, et al.
Journal of Molecular Modeling (2023) Vol. 29, Iss. 8
Closed Access | Times Cited: 1
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
Design of polymers with higher atomization energy with help of machine learning and chemical space generation
Nadeem Muhammad, Mudassir Hussain Tahir, Mohamed Mohamed Soliman, et al.
Materials Today Communications (2024), pp. 111045-111045
Closed Access
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