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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:

RedDB, a computational database of electroactive molecules for aqueous redox flow batteries
Elif Sorkun, Qi Zhang, Abhishek Khetan, et al.
Scientific Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 25

Showing 25 citing articles:

Benchmarking organic active materials for aqueous redox flow batteries in terms of lifetime and cost
Dominik Emmel, Simon Kunz, Nick Blume, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 22
Accelerating Computation of Acidity Constants and Redox Potentials for Aqueous Organic Redox Flow Batteries by Machine Learning Potential-Based Molecular Dynamics
Feng Wang, Ze-Bing Ma, Jun Cheng
Journal of the American Chemical Society (2024) Vol. 146, Iss. 21, pp. 14566-14575
Closed Access | Times Cited: 8
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
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
Llamol: a dynamic multi-conditional generative transformer for de novo molecular design
Niklas Dobberstein, Astrid Maaß, Jan Hamaekers
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 3
Towards eco-friendly redox flow batteries with all bio-sourced cell components
Musbaudeen O. Bamgbopa, Abdulmonem Fetyan, Mikhail Vagin, et al.
Journal of Energy Storage (2022) Vol. 50, pp. 104352-104352
Open Access | Times Cited: 17
Prediction of Redox Power for Photocatalysts: Synergistic Combination of DFT and Machine Learning
Péter Pál Fehér, Ádám Madarász, András Stirling
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 13, pp. 4125-4135
Open Access | Times Cited: 9
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
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
Quantum mechanical electronic and geometric parameters for DNA k-mers as features for machine learning
Kairi Masuda, Adib Afandi Abdullah, Patrick Pflughaupt, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Quinones for Aqueous Organic Redox Flow Battery: A Prospective on Redox Potential, Solubility, and Stability
Fuead Hasan, Vivekananda Mahanta, Ahmed Adel A. Abdelazeez
Advanced Materials Interfaces (2023) Vol. 10, Iss. 24
Open Access | Times Cited: 7
Unlocking the Potential: Predicting Redox Behavior of Organic Molecules, from Linear Fits to Neural Networks
Rostislav Fedorov, Ganna Gryn’ova
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 15, pp. 4796-4814
Closed Access | Times Cited: 7
Discovery of lead quinone cathode materials for Li-ion batteries
Xuan Zhou, Abhishek Khetan, Jie Zheng, et al.
Digital Discovery (2023) Vol. 2, Iss. 4, pp. 1016-1025
Open Access | Times Cited: 6
Virtual screening of organic quinones as cathode materials for sodium-ion batteries
Xuan Zhou, René A. J. Janssen, Süleyman Er
Energy Advances (2023) Vol. 2, Iss. 6, pp. 820-828
Open Access | Times Cited: 5
Estrogen receptor alpha (ER-α) antagonistic activity of phytoconstituents from Potentilla atrosanguinea and Potentilla fulgens in breast cancer
Amit Kumar, Harkomal Verma, Prabhakar Gangwar, et al.
Fitoterapia (2024) Vol. 177, pp. 106123-106123
Closed Access | Times Cited: 1
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries
Arsalan Hashemi, Reza Khakpour, Amir Mahdian, et al.
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1565-1576
Open Access | Times Cited: 4
Resonant electron capture by polycyclic aromatic hydrocarbon molecules: Effects of aza-substitution
Р. В. Хатымов, М. В. Муфтахов, Р. Ф. Туктаров, et al.
The Journal of Chemical Physics (2024) Vol. 160, Iss. 12
Open Access
RedPred, a machine learning model for the prediction of redox reaction energies of the aqueous organic electrolytes
Murat Cihan Sorkun, Elham Nour Ghassemi, Cihan Yatbaz, et al.
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 1, pp. 100064-100064
Open Access
Functional organic materials for energy storage and conversion: recent developments and future perspectives
Osemudiamhen D. Amienghemhen, Tochukwu Perpetua Okonkwo, Asishana Paul Onivefu, et al.
Chemical Papers (2024) Vol. 78, Iss. 13, pp. 7335-7374
Closed Access
Extracting Recalcitrant Redox Data on Fluorophores to Pair with Optical Data for Predicting Small-Molecule, Ionic Isolation Lattices
Michaela K. Loveless, Minwei Che, Alec J. Sanchez, et al.
Digital Discovery (2024)
Open Access
Machine learning for the redox potential prediction of molecules in organic redox flow battery
Peiyuan Gao, Didem Kochan, Yu-Hang Tang, et al.
Journal of Power Sources (2024) Vol. 629, pp. 236035-236035
Closed Access
Evolutionary Monte Carlo of QM Properties in Chemical Space: Electrolyte Design
Konstantin Karandashev, Jan Weinreich, Stefan Heinen, et al.
Journal of Chemical Theory and Computation (2023) Vol. 19, Iss. 23, pp. 8861-8870
Open Access | Times Cited: 1
Advancing energy storage through solubility prediction: leveraging the potential of deep learning
Mesfin Diro Chaka, Yedilfana Setarge Mekonnen, Qin Wu, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 46, pp. 31836-31847
Open Access | Times Cited: 1
Quantum mechanical electronic and geometric parameters for DNA k-mers as features for machine learning
Kairi Masuda, Adib Afandi Abdullah, Aleksandr B. Sahakyan
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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