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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:

Machine Learning Assisted Simulations of Electrochemical Interfaces: Recent Progress and Challenges
Yipeng Zhou, Yixin Ouyang, Yehui Zhang, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 9, pp. 2308-2316
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Revealing the role of double-layer microenvironments in pH-dependent oxygen reduction activity over metal-nitrogen-carbon catalysts
Peng Li, Yuzhou Jiao, Yaner Ruan, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 91
Electric Double Layer Effects in Electrocatalysis: Insights from Ab Initio Simulation and Hierarchical Continuum Modeling
Peng Li, Yuzhou Jiao, Jun Huang, et al.
JACS Au (2023) Vol. 3, Iss. 10, pp. 2640-2659
Open Access | Times Cited: 57
Decoding Electrochemical Processes of Lithium‐Ion Batteries by Classical Molecular Dynamics Simulations
Xi Tan, Ming Chen, Jinkai Zhang, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 22
Closed Access | Times Cited: 18
Construction of High Accuracy Machine Learning Interatomic Potential for Surface/Interface of Nanomaterials—A Review
Kaiwei Wan, Jianxin He, Xinghua Shi
Advanced Materials (2023) Vol. 36, Iss. 22
Closed Access | Times Cited: 29
Ionic Covalent Organic Framework Solid‐State Electrolytes
Yoonseob Kim, Chen Li, Jun Huang, et al.
Advanced Materials (2024)
Open Access | Times Cited: 11
Photocatalytic activity of dual defect modified graphitic carbon nitride is robust to tautomerism: machine learning assisted ab initio quantum dynamics
Sraddha Agrawal, Bipeng Wang, Yifan Wu, et al.
Nanoscale (2024) Vol. 16, Iss. 18, pp. 8986-8995
Closed Access | Times Cited: 10
Coordination structure engineering of Cu-based electrocatalysts for electrocatalytic water splitting
Chengling Luo, Xinjuan Liu, Kun Yang, et al.
Coordination Chemistry Reviews (2024) Vol. 516, pp. 215936-215936
Closed Access | Times Cited: 10
Emerging Two-Dimensional Materials for Proton-Based Energy Storage
Junlei Qi, Kai Bao, Wenbin Wang, et al.
ACS Nano (2024)
Closed Access | Times Cited: 7
Corrosion of Electrochemical Energy Materials: Stability Analyses Beyond Pourbaix Diagrams
Alexandra Zagalskaya, Payal Chaudhary, Vitaly Alexandrov
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 30, pp. 14587-14598
Closed Access | Times Cited: 15
Improving Molecular‐Dynamics Simulations for Solid–Liquid Interfaces with Machine‐Learning Interatomic Potentials
Pengfei Hou, Yumiao Tian, Xing Meng
Chemistry - A European Journal (2024) Vol. 30, Iss. 49
Closed Access | Times Cited: 5
Solid‐State Electrolytes for Lithium Metal Batteries: State‐of‐the‐Art and Perspectives
Jun Huang, Chen Li, Dongkai Jiang, et al.
Advanced Functional Materials (2024) Vol. 35, Iss. 1
Open Access | Times Cited: 5
Machine-Learning Accelerated First-Principles Accurate Modeling of the Solid–Liquid Phase Transition in MgO under Mantle Conditions
Pandu Wisesa, Christopher M. Andolina, Wissam A. Saidi
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 39, pp. 8741-8748
Closed Access | Times Cited: 11
Enabling Ab Initio Molecular Dynamics under Bias: The CP2K+SMEAGOL Interface for Integrating Density Functional Theory and Non-Equilibrium Green Functions
Christian S. Ahart, Sergey K. Chulkov, Clotilde S. Cucinotta
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 15, pp. 6772-6780
Open Access | Times Cited: 4
Minimizing Redundancy and Data Requirements of Machine Learning Potential: A Case Study in Interface Combustion
Xiaoya Chang, Di Zhang, Qingzhao Chu, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 15, pp. 6813-6825
Closed Access | Times Cited: 4
Machine Learning Potentials for Heterogeneous Catalysis
Amir Omranpour, Jan Elsner, K. Nikolas Lausch, et al.
ACS Catalysis (2025) Vol. 15, Iss. 3, pp. 1616-1634
Open Access
Machine Learning Assisted Design of Type-II Two-Dimensional Heterostructures for Photocatalytic Water Splitting
Xianbo Yu, Tingbo Zhang, Liang Ma, et al.
ACS Materials Letters (2025), pp. 898-905
Closed Access
Recent advances in understanding iron/steel corrosion: Mechanistic insights from molecular simulations
Lakshitha Jasin Arachchige, Chunqing Li, Feng Wang
Current Opinion in Solid State and Materials Science (2025) Vol. 35, pp. 101216-101216
Open Access
Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access
Atomistic simulation of batteries via machine learning force fields: from bulk to interface
Jinkai Zhang, Yaopeng Li, Ming Chen, et al.
Journal of Energy Chemistry (2025)
Closed Access
Machine learning in modeling, analysis and control of electrochemical reactors: A tutorial review
Wenlong Wang, Zhe Wu, Dominic Peters, et al.
Digital Chemical Engineering (2025), pp. 100237-100237
Open Access
Mechanistic understanding of electrode corrosion driven by water electrolysis
Alexandra Zagalskaya, Mohammad Reza Nouri, Vitaly Alexandrov
Current Opinion in Electrochemistry (2023) Vol. 41, pp. 101352-101352
Open Access | Times Cited: 7
Recent advances in calculating potential of zero charge and Helmholtz capacitance of metal/aqueous solution interfaces from ab initio molecular dynamics
Xue Wang, Yongbo Kuang, Jiabo Le
Current Opinion in Electrochemistry (2023) Vol. 40, pp. 101341-101341
Closed Access | Times Cited: 4
Rational Design of Water Splitting Electrocatalysts through Computational Insights
Mingcheng Zhang, Yu-Chang Hou, Yuzhu Jiang, et al.
Chemical Communications (2024) Vol. 60, Iss. 98, pp. 14521-14536
Closed Access | Times Cited: 1
Accurate modeling of aqueous chemistry at the nano-/micro-scale
Jun Huo, Yijian Zhang, Kai-yu Zhang, et al.
Scientia Sinica Chimica (2023) Vol. 54, Iss. 1, pp. 93-111
Closed Access | Times Cited: 1
Comprehensive Electrochemical and Machine Learning-Based Study of Rancidity in Four Edible Oils Over Various Storage Periods
Song Wan, Lin Tang
International Journal of Electrochemical Science (2024), pp. 100799-100799
Open Access
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