Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Data-Driven Discovery of Graphene-Based Dual-Atom Catalysts for Hydrogen Evolution Reaction with Graph Neural Network and DFT Calculations
Kajjana Boonpalit, Yutthana Wongnongwa, Chanatkran Prommin, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 10, pp. 12936-12945
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Inter‐Metal Interaction of Dual‐Atom Catalysts in Heterogeneous Catalysis
Yang Chen, Jian Lin, Qin Pan, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 42
Open Access | Times Cited: 50
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 24
Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 22
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
A Surrogate Machine Learning Model for the Design of Single-Atom Catalyst on Carbon and Porphyrin Supports towards Electrochemistry
Mohsen Tamtaji, Shuguang Chen, Ziyang Hu, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 21, pp. 9992-10000
Closed Access | Times Cited: 27
Catalysis in the digital age: Unlocking the power of data with machine learning
B. Moses Abraham, M. V. Jyothirmai, Priyanka Sinha, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 11
Harnessing Lateral Transfer Learning for Pioneering Solid Electrolyte Interphase Innovation
Kehao Tao, Wei He, An Chen, et al.
Energy storage materials (2025), pp. 104034-104034
Closed Access | Times Cited: 1
Machine Learning-Assisted High-Throughput Screening for Electrocatalytic Hydrogen Evolution Reaction
Geng Yin, Haiyan Zhu, Shanlin Chen, et al.
Molecules (2025) Vol. 30, Iss. 4, pp. 759-759
Open Access | Times Cited: 1
Complimentary Computational Cues for Water Electrocatalysis: A DFT and ML Perspective
Ahmed Badreldin, O. Bouhali, Ahmed Abdel‐Wahab
Advanced Functional Materials (2023) Vol. 34, Iss. 12
Closed Access | Times Cited: 21
Inter‐Metal Interaction of Dual‐Atom Catalysts in Heterogeneous Catalysis
Yang Chen, Jian Lin, Qin Pan, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 42
Open Access | Times Cited: 19
Screening of transition metal dual-atom catalysts for hydrogen evolution reaction based on high-throughput calculation and searching surrogate prediction model using simple features
Jiu-Ning Wang, Wei Xu, Jun He, et al.
Applied Surface Science (2024) Vol. 659, pp. 159942-159942
Closed Access | Times Cited: 8
Accelerating the design of catalysts for CO2 electroreduction to HCOOH: A data-driven DFT-ML screening of dual atom catalysts
Huiwen Zhu, Zeyu Guo, Dawei Lan, et al.
Journal of Energy Chemistry (2024) Vol. 99, pp. 627-635
Open Access | Times Cited: 5
Highly efficient transition metal doped C24 electrocatalysts for hydrogen evolution reaction: Kinetic and thermodynamic aspects
Sehrish Sarfaraz, Muhammad Yar, Muhammad Umair Ashraf, et al.
Materials Science in Semiconductor Processing (2023) Vol. 168, pp. 107840-107840
Closed Access | Times Cited: 13
Comparative study and screening of Single-Atom and homonuclear Dual-Atom catalysts for NO reduction via electrocatalysis
Xiuxia Zhang, Lianxin Xia, Yanze Li, et al.
Fuel (2024) Vol. 366, pp. 131432-131432
Closed Access | Times Cited: 4
Theoretical Calculation Assisted by Machine Learning Accelerate Optimal Electrocatalyst Finding for Hydrogen Evolution Reaction
Yue‐Fei Zhang, Xuefei Liu, Wentao Wang
ChemElectroChem (2024) Vol. 11, Iss. 13
Open Access | Times Cited: 4
Screened (Co, Rh, Ir)–N4 graphene single atom catalysts for hydrogen production via tunable surrounding coordination shell: Computation and machine learning
Jiu-Ning Wang, Wei Xu, Hao Ma, et al.
International Journal of Hydrogen Energy (2025) Vol. 106, pp. 186-193
Closed Access
Strain-induced water reorientation for enhanced alkaline hydrogen evolution reaction
Lianbao Wang, Bixuan Wang, Xien Liu, et al.
International Journal of Hydrogen Energy (2025) Vol. 111, pp. 33-39
Closed Access
Advances in Atomically Dispersed Catalysts for Water Splitting
Yuqiong Li, Yubin Liu, Mengyao Guo, et al.
Advanced Functional Materials (2025)
Closed Access
The Future of Catalysis: Applying Graph Neural Networks for Intelligent Catalyst Design
Zhihao Wang, Wentao Li, Siying Wang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 2
Closed Access
Recent Progresses in Two‐Dimensional Carbon‐Metal Composites for Catalysis Applications
Yongjie Zhang, Kah Meng Yam, Hao Wang, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2025) Vol. 15, Iss. 2
Closed Access
High-throughput screening of single-atom catalysts confined in monolayer black phosphorus for efficient nitrogen reduction reaction
Xiaoyan Li, Man-Yi Duan, Pengfei Ou
Nano Research (2023) Vol. 17, Iss. 4, pp. 2360-2367
Closed Access | Times Cited: 8
Expanding the Applicability Domain of Machine Learning Model for Advancements in Electrochemical Material Discovery
Kajjana Boonpalit, Jiramet Kinchagawat, Supawadee Namuangruk‬
ChemElectroChem (2024) Vol. 11, Iss. 10
Open Access | Times Cited: 2
Platinum monolayer dispersed on MXenes for electrocatalyzed hydrogen evolution: a first-principles study
Mingqi He, Yanan Zhou, Qiquan Luo, et al.
Nanoscale (2024) Vol. 16, Iss. 33, pp. 15670-15676
Closed Access | Times Cited: 1
An application of graph neural network in pollution abatement: Acceleration heterogeneous catalyst design
Qianhong Qiu, Changming Du
Materials Today Communications (2024) Vol. 40, pp. 109916-109916
Closed Access | Times Cited: 1
Dual Electron Donating Metal‐Boron Reaction Center Boosts Electrocatalytic Urea Synthesis from N2 and CO2
Nuttapon Yodsin, Poobodin Mano, Kaito Takahashi, et al.
ChemCatChem (2024) Vol. 16, Iss. 21
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top