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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:

Modelling electrified microporous carbon/electrolyte electrochemical interface and unraveling charge storage mechanism by machine learning accelerated molecular dynamics
Yifeng Zhang, Hui Huang, Jie Tian, et al.
Energy storage materials (2023) Vol. 63, pp. 103069-103069
Closed Access | Times Cited: 11

Showing 11 citing articles:

Strong Lewis-acid coordinated PEO electrolyte achieves 4.8 V-class all-solid-state batteries over 580 Wh kg−1
Hanwen An, Menglu Li, Qingsong Liu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 17
Design Principles for Gradient Porous Carbon on Aqueous Zinc-Ion Hybrid Capacitors: A Combined Molecular Dynamic and Machine Learning Study
Yifeng Zhang, Jie Tian, Guanyu Li, et al.
ACS Applied Materials & Interfaces (2025)
Closed Access | Times Cited: 1
Probing additives for green lubricants with the aid of machine learning molecular dynamics: The case of gallate molecules for aqueous solutions
Huong Ta Thi Thuy, Mauro Ferrario, Sophie Loehlé, et al.
Applied Surface Science (2025), pp. 162836-162836
Closed Access | Times Cited: 1
Machine learning Approach to Battery Management and Balancing Techniques for Enhancing Electric Vehicle Battery Performance
Basavaraju Bennehalli
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 885-892
Open Access | Times Cited: 6
Ab initio informed machine learning potential for tribochemistry and mechanochemistry: Application for eco–friendly gallate lubricant additive
Huong T. T. Ta, Mauro Ferrario, Sophie Loehlé, et al.
Deleted Journal (2024) Vol. 1, pp. 100005-100005
Open Access | Times Cited: 4
New insights into the role of nitrogen doping in microporous carbon on the capacitive charge storage mechanism: from ab initio to machine learning accelerated molecular dynamics
Yifeng Zhang, Jie Tian, Hui Huang, et al.
Carbon (2024) Vol. 229, pp. 119498-119498
Closed Access | Times Cited: 4
Low temperature electrochemical properties and energy storage mechanisms of gently modified porous carbon fabric-based flexible supercapacitors
Mingliang Xiang, Jing Liao, Ni Wang, et al.
Chemical Engineering Journal (2024), pp. 157620-157620
Closed Access | Times Cited: 3
Integrating IoT and Artificial intelligent for Enhanced Electric Vehicle Charging and Autonomous Driving for sustainable transportation
Y.Madhu Sudhana Reddy
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 893-900
Open Access | Times Cited: 2
Probing degradation at solid-state battery interfaces using machine-learning interatomic potential
Kihong Kim, Aniruddha Dive, Andrew Grieder, et al.
Energy storage materials (2024) Vol. 73, pp. 103842-103842
Closed Access | Times Cited: 1
Critical role of submicropores in lignin-based carbon for enhanced supercapacitive performance in aqueous electrolyte
Xinyi Wang, Yuanzhe Fu, Xiaofeng Zhou, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114233-114233
Closed Access
Research on the wellbore cleaning mechanism and prediction of cleaning ability of well-flushing fluid based on experiment-molecular dynamics simulation-machine learning
Hanxuan Song, Fuli Li, Binru Li, et al.
Separation and Purification Technology (2024), pp. 130875-130875
Closed Access
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