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:
Active-learning accelerated computational screening of A2B@NG catalysts for CO2 electrochemical reduction
Xinyu Li, Haobo Li, Zhen Zhang, et al.
Nano Energy (2023) Vol. 115, pp. 108695-108695
Open Access | Times Cited: 8
Xinyu Li, Haobo Li, Zhen Zhang, et al.
Nano Energy (2023) Vol. 115, pp. 108695-108695
Open Access | Times Cited: 8
Showing 8 citing articles:
High-throughput screening and an interpretable machine learning model of single-atom hydrogen evolution catalysts with an asymmetric coordination environment constructed from heteroatom-doped graphdiyne
Ying Zhao, Shuaishuai Gao, Penghui Ren, et al.
Journal of Materials Chemistry A (2025)
Closed Access | Times Cited: 3
Ying Zhao, Shuaishuai Gao, Penghui Ren, et al.
Journal of Materials Chemistry A (2025)
Closed Access | Times Cited: 3
Computational electrocatalysis beyond conventional hydrogen electrode model: CO2 reduction to C2 species on copper facilitated by dynamically formed solvent halide ions at the solid–liquid interface
Xin Mao, Tianwei He, Gurpreet Kour, et al.
Chemical Science (2024) Vol. 15, Iss. 9, pp. 3330-3338
Open Access | Times Cited: 9
Xin Mao, Tianwei He, Gurpreet Kour, et al.
Chemical Science (2024) Vol. 15, Iss. 9, pp. 3330-3338
Open Access | Times Cited: 9
Machine learning accelerates the screening of single-atom catalysts towards CO2 electroreduction
Yaxin Shi, Zhiqin Liang
Applied Catalysis A General (2024) Vol. 676, pp. 119674-119674
Closed Access | Times Cited: 4
Yaxin Shi, Zhiqin Liang
Applied Catalysis A General (2024) Vol. 676, pp. 119674-119674
Closed Access | Times Cited: 4
Enhanced learning loop framework accelerates screening of bimetallic catalysts with high oxygen reduction properties in different coordination environments
Pei Song, Zepeng Jia, Sen Lu, et al.
International Journal of Hydrogen Energy (2024) Vol. 73, pp. 305-315
Closed Access | Times Cited: 4
Pei Song, Zepeng Jia, Sen Lu, et al.
International Journal of Hydrogen Energy (2024) Vol. 73, pp. 305-315
Closed Access | Times Cited: 4
Development of high-performance hybrid supercapacitor and hydrogen evolution reaction catalysts using carbon nanotube anchored Zr2O3/V2C@CNT//AC//NF composites
Bahaaudin M. Raffah, Muhammad Waqas Iqbal, Yas Al‒Hadeethi, et al.
Inorganic Chemistry Communications (2025), pp. 114109-114109
Closed Access
Bahaaudin M. Raffah, Muhammad Waqas Iqbal, Yas Al‒Hadeethi, et al.
Inorganic Chemistry Communications (2025), pp. 114109-114109
Closed Access
Rational design of trimetallic Single-Cluster catalysts for efficient electrocatalytic reduction of CO2
Haoyu Wang, Riming Hu, Ruochen Zhu, et al.
Applied Surface Science (2025), pp. 162672-162672
Closed Access
Haoyu Wang, Riming Hu, Ruochen Zhu, et al.
Applied Surface Science (2025), pp. 162672-162672
Closed Access
Recent Progress in High‐Throughput On‐Chip Synthesis, Screening, and Data‐Driven Optimization: Toward an Electrocatalyst Chip for Catalysis Universe Exploration
Zhongjie Huang, Zilong Chen, Jiawen Cheng, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 2
Zhongjie Huang, Zilong Chen, Jiawen Cheng, et al.
Advanced Functional Materials (2024)
Closed Access | Times Cited: 2
Machine Learning‐Driven Selection of Two‐Dimensional Carbon‐Based Supports for Dual‐Atom Catalysts in CO2 Electroreduction
Zhen Tan, Xinyu Li, Yanzhang Zhao, et al.
ChemCatChem (2024) Vol. 16, Iss. 22
Open Access | Times Cited: 1
Zhen Tan, Xinyu Li, Yanzhang Zhao, et al.
ChemCatChem (2024) Vol. 16, Iss. 22
Open Access | Times Cited: 1
