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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:

Predicting power conversion efficiency of binary organic solar cells based on Y6 acceptor by machine learning
Qiming Zhao, Yuqing Shan, Chongchen Xiang, et al.
Journal of Energy Chemistry (2023) Vol. 82, pp. 139-147
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Enhancing prediction of electron affinity and ionization energy in liquid organic electrolytes for lithium-ion batteries using machine learning
Yuxin Zhan, Xiaojie Ren, Shuai Zhao, et al.
Journal of Power Sources (2024) Vol. 629, pp. 235992-235992
Closed Access | Times Cited: 22
Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm
Chunhui Xie, Haoke Qiu, Lu Liu, et al.
SmartMat (2025) Vol. 6, Iss. 1
Open Access | Times Cited: 4
The prediction of donor number and acceptor number of electrolyte solvent molecules based on machine learning
Huaping Hu, Yuqing Shan, Qiming Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 98, pp. 374-382
Closed Access | Times Cited: 14
Physics-informed ensemble deep learning framework for improving state of charge estimation of lithium-ion batteries
Hanqing Yu, Zhengjie Zhang, Kaiyi Yang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 108915-108915
Closed Access | Times Cited: 17
Multiscale computational analysis of the effect of end group modification on PM6:BTP-x OSCs performance
Qingxing Wu, Chongchen Xiang, Guangjun Zhang, et al.
Journal of Materials Chemistry C (2024) Vol. 12, Iss. 34, pp. 13311-13324
Closed Access | Times Cited: 7
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
Machine learning-assisted performance prediction and molecular design of all-small-molecule organic solar cells based on the Y6 acceptor
Qiming Zhao, Yuqing Shan, Hu Zhou, et al.
Solar Energy (2023) Vol. 265, pp. 112115-112115
Closed Access | Times Cited: 11
Theoretical exploration of the molecular stacking and charge transfer mechanism of PBQx:Y6 OSCs
Qiuhua Liu, Chongchen Xiang, Qingxing Wu, et al.
Surfaces and Interfaces (2023) Vol. 44, pp. 103767-103767
Closed Access | Times Cited: 11
Machine learning empowers efficient design of ternary organic solar cells with PM6 donor
Kiran A. Nirmal, Tukaram D. Dongale, Santosh S. Sutar, et al.
Journal of Energy Chemistry (2024) Vol. 100, pp. 337-347
Closed Access | Times Cited: 4
Interpretable machine learning insights of power conversion efficiency for hybrid perovskites solar cells
Yudong Shi, Jiansen Wen, Cuilian Wen, et al.
Solar Energy (2025) Vol. 290, pp. 113373-113373
Closed Access
Data-assisted approach for optimal designing of small molecules for perovskite solar cells
Muhammad Saqib, Muhammad Sagir, Sairah, et al.
Journal of Solid State Chemistry (2025), pp. 125250-125250
Closed Access
Strategies and Mechanisms To Minimize Energy Loss in Non-Fullerene Bulk Heterojunction Organic Solar Cells: Experimental and Computational Approaches
Hemraj Dahiya, Rakesh Suthar, Supravat Karak, et al.
Energy & Fuels (2025)
Closed Access
Machine learning for predicting retention times of chiral analytes chromatographically separated by CMPA technique
Liu Xiong, He Zhang, Wei Zhou, et al.
Journal of Chromatography A (2025), pp. 465896-465896
Closed Access
Immobilizing active layer via crosslinking for improved efficiency and stability in organic solar cells
Yuxia Gong, Shu‐Fang Li, Yanyi Zhong, et al.
Materials Today Chemistry (2025) Vol. 45, pp. 102660-102660
Closed Access
Pseudocapacitance behavior enables efficient and stable electrochemical energy conversion and storage in glucose/air enzymatic biofuel cells
Yuxia Zhang, Hongfen Deng, Zheng Yan, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110604-110604
Closed Access | Times Cited: 3
Machine learning study on organic solar cells and virtual screening of designed non-fullerene acceptors
Cai‐Rong Zhang, Ming Li, Miao Zhao, et al.
Journal of Applied Physics (2023) Vol. 134, Iss. 15
Closed Access | Times Cited: 7
Substituting effect with end-capped groups on the photoelectric properties of non-fullerene acceptors for all-polymer solar cell
Cong Shen, Zifu Zang, Peng Song, et al.
Solar Energy (2024) Vol. 279, pp. 112794-112794
Closed Access | Times Cited: 2
Sustainable H 2 O 2 production via solution plasma catalysis
Shuang Liang, Qi Wu, Changhua Wang, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 34
Open Access | Times Cited: 2
Machine learning for predicting separation factors of chiral diphosphine ligands in chiral extraction of amino acid and mandelic acid enantiomers
Yingzi Peng, Wei Zhou, Xiaoliang Cao, et al.
Separation and Purification Technology (2024) Vol. 355, pp. 129797-129797
Closed Access | Times Cited: 2
High-throughput screening of promising bifunctional catalysts for OER/ORR in disulfides
Mengyuan Wang, Zhiyan Feng, P. Shi, et al.
Surfaces and Interfaces (2024) Vol. 53, pp. 105069-105069
Closed Access | Times Cited: 1
Predictive Modeling and Design of Organic Solar Cells: A Data-Driven Approach for Material Innovation
Bibhas Das, Anirban Mondal
ACS Applied Energy Materials (2024) Vol. 7, Iss. 20, pp. 9349-9363
Closed Access | Times Cited: 1
A hybrid model based on wavelet decomposition and LSTM for short-term energy consumption prediction of chillers
Y. Wang, H. L. Chen, Huanxin Chen, et al.
Journal of Building Engineering (2024), pp. 111539-111539
Closed Access | Times Cited: 1
Advances, Applications, and Perspectives of Machine Learning Approaches in Predicting Gas Hydrate Phase Equilibrium
Haonan Li, Huiru Sun, Jing Chen, et al.
Energy & Fuels (2024)
Closed Access | Times Cited: 1
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
Predictive modeling of patulin accumulation in apple lesions infected by Penicillium expansum using machine learning
Xiaoyan Cheng, Rongxia Li, Pengdong Xie, et al.
Postharvest Biology and Technology (2024) Vol. 217, pp. 113115-113115
Closed Access
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