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:
Auxiliary guidance manufacture and revealing potential mechanism of perovskite solar cell using machine learning
Quan Zhang, Jianqi Wang, Guohua Liu
Journal of Energy Chemistry (2023) Vol. 86, pp. 146-157
Closed Access | Times Cited: 7
Quan Zhang, Jianqi Wang, Guohua Liu
Journal of Energy Chemistry (2023) Vol. 86, pp. 146-157
Closed Access | Times Cited: 7
Showing 7 citing articles:
Application of machine learning in perovskite materials and devices: A review
Ming Chen, Zhenhua Yin, Zhicheng Shan, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 254-272
Closed Access | Times Cited: 18
Ming Chen, Zhenhua Yin, Zhicheng Shan, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 254-272
Closed Access | Times Cited: 18
Laser Processing in Halide Photovoltaic Cells
Chunpeng Song, Shenyi Deng, Shihui Lou, et al.
Battery energy (2025)
Open Access | Times Cited: 1
Chunpeng Song, Shenyi Deng, Shihui Lou, et al.
Battery energy (2025)
Open Access | Times Cited: 1
Optimizing Novel Device Configurations for Perovskite Solar Cells: Enhancing Stability and Efficiency Through Machine Learning on a Large Dataset
F J Kusuma, Eri Widianto, Wahyono Wahyono, et al.
Renewable Energy (2025), pp. 122947-122947
Closed Access
F J Kusuma, Eri Widianto, Wahyono Wahyono, et al.
Renewable Energy (2025), pp. 122947-122947
Closed Access
Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Bonghyun Jo, Wenning Chen, Hyun Suk Jung
Journal of Energy Chemistry (2024) Vol. 101, pp. 298-323
Closed Access | Times Cited: 3
Bonghyun Jo, Wenning Chen, Hyun Suk Jung
Journal of Energy Chemistry (2024) Vol. 101, pp. 298-323
Closed Access | Times Cited: 3
Comparative investigation of structural, electronic, mechanical and optical responses of CsPbI3-PbSe and CsPbI3 with Mg-doped for optoelectronic applications: A first-principles study
Mehrunisa Moin, Abdul Waheed Anwar, Muhammad Moin, et al.
Physica B Condensed Matter (2024), pp. 416545-416545
Closed Access | Times Cited: 1
Mehrunisa Moin, Abdul Waheed Anwar, Muhammad Moin, et al.
Physica B Condensed Matter (2024), pp. 416545-416545
Closed Access | Times Cited: 1
Temporal Decoupling-Based Machine Learning Framework for Precise Efficiency Prediction in Perovskite Solar Cells
Xunyong Yang, Yuqian Yang, Huimin Meng, et al.
The Journal of Physical Chemistry C (2024)
Closed Access
Xunyong Yang, Yuqian Yang, Huimin Meng, et al.
The Journal of Physical Chemistry C (2024)
Closed Access
Machine Learning-Driven Interface Engineering for Enhanced Microwave Absorption in MXene Films
Haowei Zhou, Li Xiao, Zhaochen Xi, et al.
Materials Today Physics (2024), pp. 101640-101640
Closed Access
Haowei Zhou, Li Xiao, Zhaochen Xi, et al.
Materials Today Physics (2024), pp. 101640-101640
Closed Access
