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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.

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Showing 20 citing articles:

Dual Doping in Precious Metal Oxides: Accelerating Acidic Oxygen Evolution Reaction
Guoxin Ma, Fei Wang, Rui Jin, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 4, pp. 1582-1582
Open Access | Times Cited: 3
AI in single-atom catalysts: a review of design and applications
Qijun Yu, Ninggui Ma, Chihon Leung, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 2
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
Guohai Chen, Dai‐Ming Tang
Nanomaterials (2024) Vol. 14, Iss. 21, pp. 1688-1688
Open Access | Times Cited: 4
Advanced carbon as emerging energy materials in lithium batteries: A theoretical perspective
Legeng Yu, Xiang Chen, Nan Yao, et al.
InfoMat (2025)
Open Access
Hydrogen encapsulation properties of heteroatoms doped fullerenes: A DFT study for potential hydrogen storage application
Idongesit J. Mbonu, Musa Runde, Destiny E. Charlie, et al.
Diamond and Related Materials (2025), pp. 111994-111994
Closed Access
Unlocking the potential of chemical-assisted water electrolysis for green hydrogen production
Jiwoo Lee, Sol A Lee, Tae Hyung Lee, et al.
Industrial Chemistry and Materials (2025)
Open Access
Artificial intelligence and robotics in the hydrogen lifecycle: A systematic review
Paulina Quintanilla, Ayman Elhalwagy, Lijia Duan, et al.
International Journal of Hydrogen Energy (2025) Vol. 113, pp. 801-817
Open Access
Machine learning assisted Co3O4/NiO popsicle sticks-infused electrospun nanofibers for efficient oxygen evolution reaction
Azza A. Al‐Ghamdi, Abdul Sami, Salah M. El‐Bahy, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Recent Progress in the Design and Application of Machine Learning for the Hydrogen Evolution Reaction in Electrocatalysis and Photocatalysis
Kaifeng Zhang, Xudong Wang, Yanjing Su
Materials Today Communications (2025), pp. 112462-112462
Closed Access
Advancements and challenges in numerical analysis of hydrogen energy storage methods: Techniques, applications, and future direction
K. Kadirgama, Lingenthiran Samylingam, Navid Aslfattahi, et al.
International Journal of Hydrogen Energy (2025) Vol. 125, pp. 67-85
Closed Access
Parametric Optimization of Transition Metal-Based Nanocomposite Electrocatalysts for Oxygen Evolution Reaction in Alkaline Media
Vedasri Bai Khavala, Abhijai Velluva, Adhithyan Kathiravan, et al.
Electrocatalysis (2025)
Closed Access
First-principles calculations insight into non-noble-metal bifunctional electrocatalysts for zinc–air batteries
W.W. Zhang, Yue Wang, Yongjun Li, et al.
Applied Energy (2025) Vol. 391, pp. 125925-125925
Closed Access
Engineering the regulation strategy of active sites to explore the intrinsic mechanism over single‑atom catalysts in electrocatalysis
Wen Jiang, Qiang Xiao, Weidong Zhu, et al.
Journal of Colloid and Interface Science (2025) Vol. 693, pp. 137595-137595
Closed Access
Machine-learning-assisted Design of Cathode Catalysts for Metal-Sulfur/Oxygen/Carbon Dioxide Batteries
Qi Zhang, Rui Yang, Zhengran Wang, et al.
Energy storage materials (2025), pp. 104261-104261
Closed Access
Guided electrocatalyst design through in-situ techniques and data mining approaches
Mingyu Ma, Yuqing Wang, Yanting Liu, et al.
Nano Convergence (2025) Vol. 12, Iss. 1
Open Access
Advancing electrocatalyst discovery through the lens of data science: State of the art and perspectives☆
Xue Jia, Tianyi Wang, Di Zhang, et al.
Journal of Catalysis (2025), pp. 116162-116162
Open 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
Machine learning-driven prediction and optimization of selective glycerol electrocatalytic reduction into propanediols
M.M. Harussani, Cries Avian, Shuo Cheng, et al.
Journal of Electroanalytical Chemistry (2025), pp. 119150-119150
Closed Access
Influence of metal–organic framework structure on the electrocatalytic activity of nickel phosphide nanoparticles synthesized from solvothermal phosphidization
Chao Wang, Yichuang Xing
Ionics (2025)
Closed Access
Engineering Local Coordination and Electronic Structures of Dual-Atom Catalysts
Xinzhe Li, Xuan Liu, Muzammil Hussain, et al.
ACS Nano (2025)
Closed Access
High-throughput screening of the oxygen reduction/evolution reactions catalyst supported on covalent organic framework doped by main group metal using a constant potential method
Yu Jin, Daoxiong Wu, Wenjun Xiao, et al.
International Journal of Hydrogen Energy (2024) Vol. 94, pp. 1435-1443
Closed Access | Times Cited: 1
A brief overview of deep generative models and how they can be used to discover new electrode materials
Anders Hellman
Current Opinion in Electrochemistry (2024), pp. 101629-101629
Open Access
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