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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:

In Silico Chemical Experiments in the Age of AI: From Quantum Chemistry to Machine Learning and Back
Abdulrahman Aldossary, Jorge A. Campos-Gonzalez-Angulo, Sergio Pablo‐García, et al.
Advanced Materials (2024) Vol. 36, Iss. 30
Closed Access | Times Cited: 11

Showing 11 citing articles:

Accurate Neural Network Fine-Tuning Approach for Transferable Ab Initio Energy Prediction across Varying Molecular and Crystalline Scales
Wai-Pan Ng, Zili Zhang, Jun Yang
Journal of Chemical Theory and Computation (2025)
Open Access
Advancing organic photovoltaic cells for a sustainable future: The role of artificial intelligence (AI) and deep learning (DL) in enhancing performance and innovation
Hussein Togun, Ali Basem, Muhsin J. Jweeg, et al.
Solar Energy (2025) Vol. 291, pp. 113378-113378
Closed Access
DFT-assisted machine learning for polyester membrane design in textile wastewater recovery applications
Peng Liu, Hangbin Xu, Pengrui Jin, et al.
Water Research (2025) Vol. 279, pp. 123438-123438
Closed Access
Exploring the Intricacies of Glycerol Hydrodeoxygenation on Copper Surface: A Comprehensive Investigation with the Aid of Machine Learning Force Field
Srishti Gupta, Ajin Rajan, Edvin Fako, et al.
The Journal of Physical Chemistry C (2025)
Closed Access
Transferability Across Different Molecular Systems and Levels of Theory with the Data-Driven Coupled-Cluster Scheme
P. D. Varuna S. Pathirage, Brody Quebedeaux, Shahzad Akram, et al.
The Journal of Physical Chemistry A (2025)
Closed Access
Universal and Updatable Artificial Intelligence-Enhanced Quantum Chemical Foundational Models
Yuxinxin Chen, Yi-Fan Hou, Olexandr Isayev, et al.
(2024)
Open Access | Times Cited: 3
Unsupervised Machine Learning in the Analysis of Nonadiabatic Molecular Dynamics Simulation
Yifei Zhu, Jiawei Peng, Chao Xu, et al.
The Journal of Physical Chemistry Letters (2024), pp. 9601-9619
Closed Access | Times Cited: 3
Fusing Artificial Intelligence with Flexible Sensing to Forge Digital Health Innovations
Lingting Huang, Zhengjie Chen, Zhèn Yáng, et al.
BME Frontiers (2024) Vol. 5
Open Access | Times Cited: 2
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, et al.
Advanced Materials (2024)
Closed Access | Times Cited: 2
Data Quality in the Fitting of Approximate Models: A Computational Chemistry Perspective
Bun Chan, William Harbutt Dawson, Takahito Nakajima
Journal of Chemical Theory and Computation (2024)
Closed Access | Times Cited: 1
Using Graph Neural Networks to Predict Positions of the Absorption Maxima of a Number of Dyes
Mikhail M. Lukanov, Alexander A. Ksenofontov
Russian Journal of Physical Chemistry A (2024) Vol. 98, Iss. 14, pp. 3342-3346
Closed Access
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