
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:
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
Zhi‐Wen Zhao, Yun Geng, Alessandro Troisi, et al.
Advanced Intelligent Systems (2022) Vol. 4, Iss. 6
Open Access | Times Cited: 23
Showing 23 citing articles:
A materials physics perspective on structure–processing–function relations in blends of organic semiconductors
Zhengxing Peng, Natalie Stingelin, Harald Ade, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 7, pp. 439-455
Closed Access | Times Cited: 54
Zhengxing Peng, Natalie Stingelin, Harald Ade, et al.
Nature Reviews Materials (2023) Vol. 8, Iss. 7, pp. 439-455
Closed Access | Times Cited: 54
Autonomous optimization of an organic solar cell in a 4-dimensional parameter space
Tobias Osterrieder, F. Schmitt, Larry Lüer, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 9, pp. 3984-3993
Open Access | Times Cited: 24
Tobias Osterrieder, F. Schmitt, Larry Lüer, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 9, pp. 3984-3993
Open Access | Times Cited: 24
Machine Learning Assisted Analysis, Prediction, and Fabrication of High‐Efficiency CZTSSe Thin Film Solar Cells
Vijay Karade, Santosh S. Sutar, Seung Wook Shin, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 41
Open Access | Times Cited: 16
Vijay Karade, Santosh S. Sutar, Seung Wook Shin, et al.
Advanced Functional Materials (2023) Vol. 33, Iss. 41
Open Access | Times Cited: 16
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
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
The Value of Device Characterization for the Optimization of Organic Solar Cells
Leonard Christen, Beatriz Urbano, Andreas Krause, et al.
Advanced Energy Materials (2025)
Open Access
Leonard Christen, Beatriz Urbano, Andreas Krause, et al.
Advanced Energy Materials (2025)
Open Access
Machine Learning Determination of New Hammett’s Constants for meta- and para-Substituted Benzoic Acid Derivatives Employing Quantum Chemical Atomic Charge Methods
Gabriel Monteiro‐de‐Castro, Júlio César Duarte, Itamar Borges
The Journal of Organic Chemistry (2023) Vol. 88, Iss. 14, pp. 9791-9802
Open Access | Times Cited: 12
Gabriel Monteiro‐de‐Castro, Júlio César Duarte, Itamar Borges
The Journal of Organic Chemistry (2023) Vol. 88, Iss. 14, pp. 9791-9802
Open Access | Times Cited: 12
Deep transfer learning for predicting frontier orbital energies of organic materials using small data and its application to porphyrin photocatalysts
An Su, Xin Zhang, Chengwei Zhang, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 15, pp. 10536-10549
Closed Access | Times Cited: 11
An Su, Xin Zhang, Chengwei Zhang, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 15, pp. 10536-10549
Closed Access | Times Cited: 11
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
Hussein Togun, Ali Basem, Muhsin J. Jweeg, et al.
Solar Energy (2025) Vol. 291, pp. 113378-113378
Closed Access
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
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
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: 16
Yuta Miyake, Kakaraparthi Kranthiraja, Fumitaka Ishiwari, et al.
Chemistry of Materials (2022) Vol. 34, Iss. 15, pp. 6912-6920
Closed Access | Times Cited: 16
Multicomponent organic blend systems: A review of quaternary organic photovoltaics
Kekeli N’Konou, Souk Y. Kim, Nutifafa Y. Doumon
Carbon Energy (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 3
Kekeli N’Konou, Souk Y. Kim, Nutifafa Y. Doumon
Carbon Energy (2024) Vol. 6, Iss. 10
Open Access | Times Cited: 3
Machine learning of atomic force microscopy images of organic solar cells
Yasuhito Kobayashi, Yuta Miyake, Fumitaka Ishiwari, et al.
RSC Advances (2023) Vol. 13, Iss. 22, pp. 15107-15113
Open Access | Times Cited: 8
Yasuhito Kobayashi, Yuta Miyake, Fumitaka Ishiwari, et al.
RSC Advances (2023) Vol. 13, Iss. 22, pp. 15107-15113
Open Access | Times Cited: 8
Accelerated exploration of efficient ternary solar cells with PTB7:PC71BM:SMPV1 using machine-learning methods
Chaorong Guo, Zhennan Li, Kuo Wang, et al.
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 37, pp. 22538-22545
Closed Access | Times Cited: 12
Chaorong Guo, Zhennan Li, Kuo Wang, et al.
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 37, pp. 22538-22545
Closed Access | Times Cited: 12
Exploring exohedral functionalization of fullerene with automation and Neural Network Potential
Mingkang Liu, Yanbo Han, Yonghong Cheng, et al.
Carbon (2023) Vol. 213, pp. 118180-118180
Closed Access | Times Cited: 5
Mingkang Liu, Yanbo Han, Yonghong Cheng, et al.
Carbon (2023) Vol. 213, pp. 118180-118180
Closed Access | Times Cited: 5
Interpretable AI and Machine Learning Classification for Identifying High-Efficiency Donor–Acceptor Pairs in Organic Solar Cells
Hamza Siddiqui, Tahsin Usmani
ACS Omega (2024) Vol. 9, Iss. 32, pp. 34445-34455
Open Access | Times Cited: 1
Hamza Siddiqui, Tahsin Usmani
ACS Omega (2024) Vol. 9, Iss. 32, pp. 34445-34455
Open Access | Times Cited: 1
Construction frontier molecular orbital prediction model with transfer learning for organic materials
Xinyu Peng, Jiaojiao Liang, Kuo Wang, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Xinyu Peng, Jiaojiao Liang, Kuo Wang, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Image analysis optimization for nanowire-based optical detection of molecules
Rubina Davtyan, Nicklas Anttu, Julia Valderas-Gutiérrez, et al.
Nanophotonics (2024)
Open Access | Times Cited: 1
Rubina Davtyan, Nicklas Anttu, Julia Valderas-Gutiérrez, et al.
Nanophotonics (2024)
Open Access | Times Cited: 1
Machine learning determination of new Hammett's constants for meta- and para-substituted benzoic acid derivatives employing quantum chemical atomic charge methods
Gabriel Monteiro‐de‐Castro, Júlio César Duarte, Itamar Borges
(2023)
Open Access | Times Cited: 2
Gabriel Monteiro‐de‐Castro, Júlio César Duarte, Itamar Borges
(2023)
Open Access | Times Cited: 2
Transfer learning for molecular property predictions from small datasets
Thorren Kirschbaum, Annika Bande
AIP Advances (2024) Vol. 14, Iss. 10
Open Access
Thorren Kirschbaum, Annika Bande
AIP Advances (2024) Vol. 14, Iss. 10
Open Access
Active learning concept for materials process optimization of non-fullerene organic photovoltaic using small datasets
Majed Almalki, Yves André Chapuis, Nicolas Lachiche
(2024), pp. 9-9
Closed Access
Majed Almalki, Yves André Chapuis, Nicolas Lachiche
(2024), pp. 9-9
Closed Access
Machine‐Learning‐Assisted Process Optimization for High‐Performance Organic Thermoelectrics
Jeehyun Jeong, Suyeon Park, Juhyung Park, et al.
Advanced Energy Materials (2024)
Open Access
Jeehyun Jeong, Suyeon Park, Juhyung Park, et al.
Advanced Energy Materials (2024)
Open Access
Machine learning assisted classification of post-treatment amines for increasing the stability of organic-inorganic hybrid perovskites
Jing Zheng, Lu Tian, Zhengheng Lian, et al.
Materials Today Communications (2023) Vol. 35, pp. 105902-105902
Closed Access | Times Cited: 1
Jing Zheng, Lu Tian, Zhengheng Lian, et al.
Materials Today Communications (2023) Vol. 35, pp. 105902-105902
Closed Access | Times Cited: 1
Extended-charge-transfer excitations in crystalline non-fullerene acceptors
Zhixing Liu, Chunfeng Zhang
Electronic Structure (2023) Vol. 5, Iss. 2, pp. 024004-024004
Closed Access | Times Cited: 1
Zhixing Liu, Chunfeng Zhang
Electronic Structure (2023) Vol. 5, Iss. 2, pp. 024004-024004
Closed Access | Times Cited: 1