Open Access Helper

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:

A database of experimentally measured lithium solid electrolyte conductivities evaluated with machine learning
Cameron J. Hargreaves, Michael W. Gaultois, Luke M. Daniels, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 37

Showing 26-50 of 37 citing articles:

A universal machine learning framework to automatically identify high‐performance covalent organic framework membranes for CH4/H2 separation
Yong Qiu, Letian Chen, Xu Zhang, et al.
AIChE Journal (2024) Vol. 70, Iss. 12
Open Access | Times Cited: 2
Exploration of Chemical Space through Automated Reasoning
Judith Clymo, Christopher M. Collins, Katie Atkinson, et al.
Angewandte Chemie International Edition (2024)
Open Access | Times Cited: 2
Accelerated Discovery of Novel Inorganic Solid-State Electrolytes through Machine Learning-Assisted Hierarchical Screening
Weijian Chen, Jiahe Zhou, Shuting Li, et al.
Journal of Alloys and Compounds (2024), pp. 177981-177981
Closed Access | Times Cited: 2
Machine Learning Prediction Models for Solid Electrolytes Based on Lattice Dynamics Properties
Jiyeon Kim, Donggeon Lee, Dongwoo Lee, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 22, pp. 5914-5922
Open Access | Times Cited: 1
Development and application of Few-shot learning methods in materials science under data scarcity
Yongxing Chen, Long Peng, Bin Liu, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 44, pp. 30249-30268
Closed Access | Times Cited: 1
The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity
Hui Zheng, Eric Sivonxay, Rasmus Christensen, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
The Liverpool materials discovery server: a suite of computational tools for the collaborative discovery of materials
Samantha Durdy, Cameron J. Hargreaves, Mark Dennison, et al.
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1601-1611
Open Access | Times Cited: 1
Data-driven Design of Electrolyte Additives for High-Performance 5 V LiNi0.5Mn1.5O4 Cathodes
Chen Liao, Bingning Wang, Hieu A. Doan, et al.
Research Square (Research Square) (2024)
Open Access
Optical materials discovery and design with federated databases and machine learning
Victor Trinquet, Matthew L. Evans, Cameron J. Hargreaves, et al.
Faraday Discussions (2024)
Closed Access
Exploration of Chemical Space through Automated Reasoning
Judith Clymo, Christopher M. Collins, Katie Atkinson, et al.
Angewandte Chemie (2024)
Closed Access
XRDMatch: A Semi-Supervised Learning Framework to Efficiently Discover Room Temperature Lithium Superionic Conductors
Zheng Wan, Zhenying Chen, Hao Chen, et al.
Energy & Environmental Science (2024)
Closed Access
A review of transport properties of electrolytes in redox flow batteries
Xiangchi Liu, Lyuming Pan, H. Suresh Rao, et al.
Deleted Journal (2024), pp. 100019-100019
Open Access
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