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:
Quantitative Structure–Reactivity Relationships for Synthesis Planning: The Benzhydrylium Case
Maike Eckhoff, Johannes V. Diedrich, Maike Mücke, et al.
The Journal of Physical Chemistry A (2023) Vol. 128, Iss. 1, pp. 343-354
Open Access | Times Cited: 10
Maike Eckhoff, Johannes V. Diedrich, Maike Mücke, et al.
The Journal of Physical Chemistry A (2023) Vol. 128, Iss. 1, pp. 343-354
Open Access | Times Cited: 10
Showing 10 citing articles:
Predicting and Explaining Yields with Machine Learning for Carboxylated Azoles and Beyond
Kerrin Janssen, Jonny Proppe
Journal of Chemical Information and Modeling (2025)
Open Access
Kerrin Janssen, Jonny Proppe
Journal of Chemical Information and Modeling (2025)
Open Access
Unveiling CO2 reactivity with data-driven methods
Maike Eckhoff, Kerstin L. Bublitz, Jonny Proppe
Digital Discovery (2025)
Open Access
Maike Eckhoff, Kerstin L. Bublitz, Jonny Proppe
Digital Discovery (2025)
Open Access
Interoperable workflows by exchanging grid-based data between quantum-chemical program packages
Kevin Focke, Matteo De Santis, Mario Wolter, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 16
Open Access | Times Cited: 3
Kevin Focke, Matteo De Santis, Mario Wolter, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 16
Open Access | Times Cited: 3
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access | Times Cited: 1
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry B (2024) Vol. 128, Iss. 27, pp. 6435-6438
Closed Access | Times Cited: 1
Relevance and Potential Applications of C2‐Carboxylated 1,3‐Azoles
Kerrin Janssen, Johannes Kirchmair, Jonny Proppe
ChemMedChem (2024) Vol. 19, Iss. 21
Open Access | Times Cited: 1
Kerrin Janssen, Johannes Kirchmair, Jonny Proppe
ChemMedChem (2024) Vol. 19, Iss. 21
Open Access | Times Cited: 1
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 27, pp. 5225-5228
Closed Access
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 27, pp. 5225-5228
Closed Access
Virtual Special Issue on Machine Learning in Physical Chemistry Volume 2
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access
Andrew L. Ferguson, Jim Pfaendtner
The Journal of Physical Chemistry C (2024) Vol. 128, Iss. 27, pp. 11079-11082
Closed Access
QSAR and Machine Learning Predictors
Philipe Oliveira Fernandes, Vinícius Gonçalves Maltarollo
(2024), pp. 131-161
Closed Access
Philipe Oliveira Fernandes, Vinícius Gonçalves Maltarollo
(2024), pp. 131-161
Closed Access
Quantitative structure–reactivity relationships for synthesis planning: The benzhydrylium case
Maike Vahl, Johannes V. Diedrich, Maike Mücke, et al.
(2023)
Open Access
Maike Vahl, Johannes V. Diedrich, Maike Mücke, et al.
(2023)
Open Access
