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:
SOMAS: a platform for data-driven material discovery in redox flow battery development
Peiyuan Gao, Amity Andersen, Jonathan Sepulveda, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Peiyuan Gao, Amity Andersen, Jonathan Sepulveda, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 17
Showing 17 citing articles:
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 20
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 20
An integrated high-throughput robotic platform and active learning approach for accelerated discovery of optimal electrolyte formulations
Juran Noh, Hieu A. Doan, Heather Job, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Juran Noh, Hieu A. Doan, Heather Job, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 15
Evaluation of Deep Learning Architectures for Aqueous Solubility Prediction
Gihan Panapitiya, Michael Girard, Aaron Hollas, et al.
ACS Omega (2022) Vol. 7, Iss. 18, pp. 15695-15710
Open Access | Times Cited: 53
Gihan Panapitiya, Michael Girard, Aaron Hollas, et al.
ACS Omega (2022) Vol. 7, Iss. 18, pp. 15695-15710
Open Access | Times Cited: 53
High-Throughput Electrochemical Characterization of Aqueous Organic Redox Flow Battery Active Material
Eric M. Fell, Michael J. Aziz
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 10, pp. 100507-100507
Open Access | Times Cited: 11
Eric M. Fell, Michael J. Aziz
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 10, pp. 100507-100507
Open Access | Times Cited: 11
Digitization of flow battery experimental process research and development
Changyu Chen, Gaole Dai, Yuechen Gao, et al.
Energy Materials (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 3
Changyu Chen, Gaole Dai, Yuechen Gao, et al.
Energy Materials (2024) Vol. 4, Iss. 2
Open Access | Times Cited: 3
Physics-Guided Continual Learning for Predicting Emerging Aqueous Organic Redox Flow Battery Material Performance
Yucheng Fu, Amanda A. Howard, Chao Zeng, et al.
ACS Energy Letters (2024) Vol. 9, Iss. 6, pp. 2767-2774
Open Access | Times Cited: 3
Yucheng Fu, Amanda A. Howard, Chao Zeng, et al.
ACS Energy Letters (2024) Vol. 9, Iss. 6, pp. 2767-2774
Open Access | Times Cited: 3
Towards a comprehensive data infrastructure for redox-active organic molecules targeting non-aqueous redox flow batteries
Rebekah Duke, Vinayak Bhat, Parker Sornberger, et al.
Digital Discovery (2023) Vol. 2, Iss. 4, pp. 1152-1162
Open Access | Times Cited: 9
Rebekah Duke, Vinayak Bhat, Parker Sornberger, et al.
Digital Discovery (2023) Vol. 2, Iss. 4, pp. 1152-1162
Open Access | Times Cited: 9
Advanced Research Directions on AI for Energy
Claus Daniel, Jess C Gehin, K.F. Laurin-Kovitz, et al.
(2024)
Open Access | Times Cited: 2
Claus Daniel, Jess C Gehin, K.F. Laurin-Kovitz, et al.
(2024)
Open Access | Times Cited: 2
Machine Learning Orchestrating the Materials Discovery and Performance Optimization of Redox Flow Battery
Lina Tang, Puiki Leung, Qian Xu, et al.
ChemElectroChem (2024)
Open Access | Times Cited: 2
Lina Tang, Puiki Leung, Qian Xu, et al.
ChemElectroChem (2024)
Open Access | Times Cited: 2
https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties
JinâHoon Yang, Habin Kang, Hyuk Jin Kim, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 573-585
Open Access | Times Cited: 1
JinâHoon Yang, Habin Kang, Hyuk Jin Kim, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 573-585
Open Access | Times Cited: 1
High-Throughput Electrochemical Characterization of Aqueous Organic Redox Flow Battery Active Material
Eric M. Fell, Michael J. Aziz
(2023)
Open Access | Times Cited: 4
Eric M. Fell, Michael J. Aziz
(2023)
Open Access | Times Cited: 4
Enhanced Prediction of Molecular Properties Using Transfer Learning on Sigma Profiles
Tianzhixi Yin, Peiyuan Gao, Audrey Xu, et al.
Research Square (Research Square) (2024)
Open Access
Tianzhixi Yin, Peiyuan Gao, Audrey Xu, et al.
Research Square (Research Square) (2024)
Open Access
Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models
Gihan Panapitiya, Emily Saldanha
(2023)
Open Access | Times Cited: 1
Gihan Panapitiya, Emily Saldanha
(2023)
Open Access | Times Cited: 1
Physics-Guided Continual Learning for Accelerating Aqueous Organic Redox Flow Battery Material Discovery
Yucheng Fu, Amanda A. Howard, Chao Zeng, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Yucheng Fu, Amanda A. Howard, Chao Zeng, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Outlier-Based Domain of ApplicabilityIdentification for Materials PropertyPrediction Models
Gihan Panapitiya, Emily Saldanha
(2023)
Open Access
Gihan Panapitiya, Emily Saldanha
(2023)
Open Access
A comprehensive data infrastructure for redox-active organic molecules towards non-aqueous redox flow batteries
Rebekah Duke, Vinayak Bhat, Parker Sornberger, et al.
(2023)
Open Access
Rebekah Duke, Vinayak Bhat, Parker Sornberger, et al.
(2023)
Open Access
