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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 Development of Organic Solar Cell Materials: Issues, Analyses, and Outlooks
Yuta Miyake, Akinori Saeki
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 51, pp. 12391-12401
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Machine Learning for Organic Photovoltaic Polymers: A Minireview
Asif Mahmood, Ahmad Irfan, Jin‐Liang Wang
Chinese Journal of Polymer Science (2022) Vol. 40, Iss. 8, pp. 870-876
Closed Access | Times Cited: 138
Machine‐Learning‐Assisted Nanozyme Design: Lessons from Materials and Engineered Enzymes
Jie Zhuang, Adam C. Midgley, Yonghua Wei, et al.
Advanced Materials (2023) Vol. 36, Iss. 10
Closed Access | Times Cited: 78
Machine Learning in Polymer Research
Wei Ge, R. Silva‐González, Yanan Fan, et al.
Advanced Materials (2025)
Open Access | Times Cited: 2
Powering the Future: A Critical Review of Research Progress in Enhancing Stability of High‐Efficiency Organic Solar Cells
Maoheng Wu, Bing Ma, Sunsun Li, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 50
Open Access | Times Cited: 42
Calibration and generalizability of probabilistic models on low-data chemical datasets with DIONYSUS
Gary Tom, Riley J. Hickman, Aniket Zinzuwadia, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 759-774
Open Access | Times Cited: 26
Artificial Intelligence for Conjugated Polymers
Qiaomu Yang, Aikaterini Vriza, Cesar A. Castro Rubio, et al.
Chemistry of Materials (2024) Vol. 36, Iss. 6, pp. 2602-2622
Closed Access | Times Cited: 15
Screening Efficient Tandem Organic Solar Cells with Machine Learning and Genetic Algorithms
Brianna Greenstein, Geoffrey Hutchison
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 13, pp. 6179-6191
Open Access | Times Cited: 22
AlphaMat: a material informatics hub connecting data, features, models and applications
Zhilong Wang, An Chen, Kehao Tao, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 21
Singlet‐Triplet Energy Gap as a Critical Molecular Descriptor for Predicting Organic Photovoltaic Efficiency
Guangchao Han, Yuanping Yi
Angewandte Chemie International Edition (2022) Vol. 61, Iss. 49
Closed Access | Times Cited: 25
Performance Prediction and Experimental Optimization Assisted by Machine Learning for Organic Photovoltaics
Zhi‐Wen Zhao, Yun Geng, Alessandro Troisi, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 6
Open Access | Times Cited: 23
Machine learning in energy chemistry: introduction, challenges and perspectives
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Energy Advances (2023) Vol. 2, Iss. 7, pp. 896-921
Open Access | Times Cited: 15
Machine-learning-guided prediction of photovoltaic performance of non-fullerene organic solar cells using novel molecular and structural descriptors
Rakesh Suthar, T. Abhijith, Supravat Karak
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 41, pp. 22248-22258
Closed Access | Times Cited: 15
Cutting “lab-to-fab” short: high throughput optimization and process assessment in roll-to-roll slot die coating of printed photovoltaics
Michael J. Wagner, Andreas Distler, Vincent M. Le Corre, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 11, pp. 5454-5463
Open Access | Times Cited: 15
Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
Gang Wang, Shinya Mine, Duotian Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Recent advances and challenges in experiment-oriented polymer informatics
Kan Hatakeyama‐Sato
Polymer Journal (2022) Vol. 55, Iss. 2, pp. 117-131
Closed Access | Times Cited: 22
Machine Learning-Assisted Polymer Design for Improving the Performance of Non-Fullerene Organic Solar Cells
Kakaraparthi Kranthiraja, Akinori Saeki
ACS Applied Materials & Interfaces (2022) Vol. 14, Iss. 25, pp. 28936-28944
Closed Access | Times Cited: 21
Saccharide concentration prediction from proxy sea surface microlayer samples analyzed via infrared spectroscopy and quantitative machine learning
Abigail Enders, Nicole North, Jessica B. Clark, et al.
(2024)
Open Access | Times Cited: 4
Beyond molecular structure: critically assessing machine learning for designing organic photovoltaic materials and devices
Martin Seifrid, Stanley Lo, Dylan G. Choi, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 24, pp. 14540-14558
Open Access | Times Cited: 4
Third-generation photovoltaics: Introduction, overview, innovation, and potential markets
Sahaya Dennish Babu George, Ananthakumar Soosaimanickam, Senthilarasu Sundaram
Elsevier eBooks (2024), pp. 75-110
Closed Access | Times Cited: 4
Improved Predictions of Organic Photovoltaic Performance through Machine Learning Models Empowered by Artificially Generated Failure Data
Yuta Miyake, Kakaraparthi Kranthiraja, Fumitaka Ishiwari, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 15, pp. 6912-6920
Closed Access | Times Cited: 17
Opportunities and challenges for machine learning to select combination of donor and acceptor materials for efficient organic solar cells
Prateek Malhotra, Kanupriya Khandelwal, Subhayan Biswas, et al.
Journal of Materials Chemistry C (2022) Vol. 10, Iss. 47, pp. 17781-17811
Closed Access | Times Cited: 17
From Experimental Values to Predictive Models: Machine Learning‐Driven Energy Level Determination in Organic Semiconductors
Jules Bertrandie, Mehmet A. Noyan, Luis Huerta Hernandez, et al.
Advanced Energy Materials (2025)
Closed Access
Enhanced p-doping and efficiency in organic solar cells using Mg and Pd ions at the HTL/PTB7 interface
Jin Hee Lee, Merve Nur Ekmekci, Yeasin Khan, et al.
Next Energy (2025) Vol. 8, pp. 100248-100248
Closed Access
Advancing organic photovoltaic cells for a sustainable future: The role of artificial intelligence (AI) and deep learning (DL) in enhancing performance and innovation
Hussein Togun, Ali Basem, Muhsin J. Jweeg, et al.
Solar Energy (2025) Vol. 291, pp. 113378-113378
Closed Access
ChiGNN: Interpretable Algorithm Framework of Molecular Chiral Knowledge-Embedding and Stereosensitive Property Prediction
Jiaxin Yan, Haiyuan Wang, Wensheng Yang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
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