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:

Enumeration of de novo inorganic complexes for chemical discovery and machine learning
Stefan Gugler, Jon Paul Janet, Heather J. Kulik
Molecular Systems Design & Engineering (2019) Vol. 5, Iss. 1, pp. 139-152
Open Access | Times Cited: 35

Showing 26-50 of 35 citing articles:

Insights into the deviation from piecewise linearity in transition metal complexes from supervised machine learning models
Yael Cytter, Aditya Nandy, Chenru Duan, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 11, pp. 8103-8116
Open Access | Times Cited: 2
Electron configuration-based neural network model to predict physicochemical properties of inorganic compounds
Hyun Kil Shin
RSC Advances (2020) Vol. 10, Iss. 55, pp. 33268-33278
Open Access | Times Cited: 5
Inverse design of ligands using a deep generative model semi‐supervised by a data‐driven ligand field strength metric
Zhi‐Hang Lee, Po Chuan Lin, Tzuhsiung Yang
Journal of the Chinese Chemical Society (2023) Vol. 70, Iss. 5, pp. 1095-1101
Closed Access | Times Cited: 1
Virtual Ligand-Assisted Optimization: A Rational Strategy for Ligand Engineering
Wataru Matsuoka, Taihei Oki, Ren Yamada, et al.
ACS Catalysis (2024) Vol. 14, Iss. 21, pp. 16297-16312
Open Access
Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes
Ralf Meyer, Daniel B. K. Chu, Heather J. Kulik
Machine Learning Science and Technology (2024) Vol. 5, Iss. 4, pp. 045080-045080
Open Access
ChemSpaX: Exploration of Chemical Space by Automated Functionalization of Molecular Scaffold
Adarsh V. Kalikadien, Evgeny A. Pidko, Vivek Sinha
(2021)
Open Access | Times Cited: 3
Building machine learning assisted phase diagrams: Three chemically relevant examples
Xabier Telleria‐Allika, José M. Mercero, Xabier López, et al.
AIP Advances (2022) Vol. 12, Iss. 7
Open Access | Times Cited: 2
ChemSpaX: Exploration of Chemical Space by Automated Functionalization of Molecular Scaffold
Adarsh V. Kalikadien, Evgeny A. Pidko, Vivek Sinha
(2021)
Open Access | Times Cited: 1
Data-Driven Mapping of Inorganic Chemical Space for the Design of Transition Metal Complexes and Metal-Organic Frameworks
Jon Paul Janet
ACS symposium series (2022), pp. 127-179
Closed Access
ChemSpaX: Exploration of Chemical Space by Automated Functionalization of Molecular Scaffold
Adarsh V. Kalikadien, Evgeny A. Pidko, Vivek Sinha
(2021)
Open Access
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