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 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
Yuzhi Xu, Jiankai Ge, Cheng‐Wei Ju
Energy Advances (2023) Vol. 2, Iss. 7, pp. 896-921
Open Access | Times Cited: 15
Showing 15 citing articles:
Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 14
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 14
Integrating artificial intelligence in energy transition: A comprehensive review
Qiang Wang, Yuanfan Li, Rongrong Li
Energy Strategy Reviews (2025) Vol. 57, pp. 101600-101600
Open Access | Times Cited: 5
Qiang Wang, Yuanfan Li, Rongrong Li
Energy Strategy Reviews (2025) Vol. 57, pp. 101600-101600
Open Access | Times Cited: 5
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 23
Machine Learning for Quantitative Structural Information from Infrared Spectra: The Case of Palladium Hydride
Oleg A. Usoltsev, Andrei A. Tereshchenko, Alina A. Skorynina, et al.
Small Methods (2024) Vol. 8, Iss. 7
Open Access | Times Cited: 5
Oleg A. Usoltsev, Andrei A. Tereshchenko, Alina A. Skorynina, et al.
Small Methods (2024) Vol. 8, Iss. 7
Open Access | Times Cited: 5
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 4
Computational modeling guided design of metal–organic frameworks for photocatalysis – a mini review
Sheng Yu, Q. Wang, Jinglei Wang, et al.
Catalysis Science & Technology (2023) Vol. 13, Iss. 23, pp. 6583-6603
Closed Access | Times Cited: 7
Sheng Yu, Q. Wang, Jinglei Wang, et al.
Catalysis Science & Technology (2023) Vol. 13, Iss. 23, pp. 6583-6603
Closed Access | Times Cited: 7
Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Exploring Optimized Organic Fluorophore Search Through Simple Experimental Data-Driven VAE
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Cheng‐Wei Ju, Yuzhi Xu, Yongrui Luo, et al.
(2024)
Open Access | Times Cited: 1
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access | Times Cited: 3
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access | Times Cited: 3
Enhancing glucose classification in continuous flow hydrothermal biomass liquefaction streams through generative AI and IR spectroscopy
Silviu Florin Acaru, Rosnah Abdullah, Daphne Teck Ching Lai, et al.
Energy Advances (2023) Vol. 2, Iss. 8, pp. 1204-1214
Open Access | Times Cited: 2
Silviu Florin Acaru, Rosnah Abdullah, Daphne Teck Ching Lai, et al.
Energy Advances (2023) Vol. 2, Iss. 8, pp. 1204-1214
Open Access | Times Cited: 2
A machine learning approach for prediction the reactivity power of hypervalent iodine compounds
Vaneet Saini, Ramesh Kataria, Shruti Rajput
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100032-100032
Open Access | Times Cited: 2
Vaneet Saini, Ramesh Kataria, Shruti Rajput
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100032-100032
Open Access | Times Cited: 2
TransTg: a new transformer model for predicting glass transition temperature of polymers from monomers’ molecular structures
Nassima Aleb, Nedal Y. Abu-Thabit
Neural Computing and Applications (2024)
Closed Access
Nassima Aleb, Nedal Y. Abu-Thabit
Neural Computing and Applications (2024)
Closed Access
A brief overview of deep generative models and how they can be used to discover new electrode materials
Anders Hellman
Current Opinion in Electrochemistry (2024), pp. 101629-101629
Open Access
Anders Hellman
Current Opinion in Electrochemistry (2024), pp. 101629-101629
Open Access
NestedAE: interpretable nested autoencoders for multi-scale materials characterization
Nikhil Thota, Maitreyee Sharma Priyadarshini, Rigoberto Hernandez
Materials Horizons (2023) Vol. 11, Iss. 3, pp. 700-707
Closed Access | Times Cited: 1
Nikhil Thota, Maitreyee Sharma Priyadarshini, Rigoberto Hernandez
Materials Horizons (2023) Vol. 11, Iss. 3, pp. 700-707
Closed Access | Times Cited: 1
Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access
