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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:

Data-driven design of dual-metal-site catalysts for the electrochemical carbon dioxide reduction reaction
Haisong Feng, Hu Ding, Peinan He, et al.
Journal of Materials Chemistry A (2022) Vol. 10, Iss. 36, pp. 18803-18811
Closed Access | Times Cited: 23

Showing 23 citing articles:

Insights into the electronic structure coupling effect of dual-metal atomic electrocatalytic platform for efficient clean energy conversion
Wei Xu, Yunfei Wang, Cheng Zhang, et al.
Chemical Engineering Journal (2023) Vol. 461, pp. 141911-141911
Closed Access | Times Cited: 27
Tailoring the electronic structure of In2O3/C photocatalysts for enhanced CO2reduction
Awu Zhou, Zhao Chen, Jianchi Zhou, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 24, pp. 12950-12957
Open Access | Times Cited: 22
Data-driven design of electrocatalysts: principle, progress, and perspective
Shan Zhu, Kezhu Jiang, Biao Chen, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 8, pp. 3849-3870
Closed Access | Times Cited: 20
Activity versus stability of atomically dispersed transition-metal electrocatalysts
Gang Wu, Piotr Zelenay
Nature Reviews Materials (2024) Vol. 9, Iss. 9, pp. 643-656
Closed Access | Times Cited: 11
The Synergistic Effect between Metal and Sulfur Vacancy to Boost CO2 Reduction Efficiency: A Study on Descriptor Transferability and Activity Prediction
Qin Zhu, Yating Gu, Xinzhu Wang, et al.
JACS Au (2024) Vol. 4, Iss. 1, pp. 125-138
Open Access | Times Cited: 10
Machine learning for CO2 capture and conversion: A review
Sung Eun Jerng, Yang Jeong Park, Ju Li
Energy and AI (2024) Vol. 16, pp. 100361-100361
Open Access | Times Cited: 10
Study of the catalytic pyrolysis mechanism of guaiacol over seaweed-derived carbon catalyst: Based on density function theory and machine learning
Ding Jiang, Xuping Yang, Arman Amani Babadi, et al.
Fuel (2024) Vol. 369, pp. 131529-131529
Closed Access | Times Cited: 6
A Route Map of Machine Learning Approaches in Heterogeneous CO2 Reduction Reaction
Diptendu Roy, A. Das, Souvik Manna, et al.
The Journal of Physical Chemistry C (2023) Vol. 127, Iss. 2, pp. 871-881
Closed Access | Times Cited: 14
Micro-kinetic modelling of the CO reduction reaction on single atom catalysts accelerated by machine learning
Qing-Meng Zhang, Zhaoyu Wang, Hao Zhang, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 14, pp. 11037-11047
Closed Access | Times Cited: 3
Accelerating electrocatalyst design for CO2 conversion through machine learning: Interpretable models and data-driven innovations
Zijing Li, Yingchuan Zhang, Tao Zhou, et al.
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 100029-100029
Open Access | Times Cited: 3
Electrocatalytic CO2 reduction to C2H4: From lab to fab
Zeyu Guo, F.F. Yang, Xiaotong Li, et al.
Journal of Energy Chemistry (2023) Vol. 90, pp. 540-564
Open Access | Times Cited: 10
Active Learning Accelerating to Screen Dual-Metal-Site Catalysts for Electrochemical Carbon Dioxide Reduction Reaction
Hu Ding, Yawen Shi, Zeyang Li, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 10, pp. 12986-12997
Closed Access | Times Cited: 9
Density functional theory study of transition metal dual-atom anchored phthalocyanine as high-performance electrocatalysts for carbon dioxide reduction reaction
Zhenzhen Wang, Aling Ma, Zhiyi Liu, et al.
Applied Surface Science (2024) Vol. 669, pp. 160532-160532
Closed Access | Times Cited: 2
Data-driven design of double-atom catalysts with high H2 evolution activity/CO2 reduction selectivity based on simple features
Chenyang Wei, Dingyi Shi, Zhaohui Yang, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 34, pp. 18168-18178
Closed Access | Times Cited: 7
Machine learning enabled rational design of atomic catalysts for electrochemical reactions
Lianping Wu, Teng Li
Materials Chemistry Frontiers (2023) Vol. 7, Iss. 19, pp. 4445-4459
Closed Access | Times Cited: 6
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: 1
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: 1
Data-Driven Design of Single-Atom Electrocatalysts with Intrinsic Descriptors for Carbon Dioxide Reduction Reaction
Xiaoyun Lin, Shiyu Zhen, Xiaohui Wang, et al.
Transactions of Tianjin University (2024)
Open Access | Times Cited: 1
C2H2 semi-hydrogenation over N-doped graphene supported diatomic metal catalysts: Unraveling the roles of metal type and its coordination environment in tuning catalytic performance
Xuebai Lan, Mifeng Xue, Baojun Wang, et al.
Applied Surface Science (2023) Vol. 641, pp. 158413-158413
Closed Access | Times Cited: 2
A Revised High‐Throughput Screening Model on Oxygen Reduction Reaction Over Dual Atom Catalysts Based on the Axial Pre‐Adsorption and O2 Adsorption
Danyang Li, Panpan Sun, Haoxiang Xu, et al.
Advanced Energy Materials (2024)
Closed Access
Towards superior CO2RR catalysts: Deciphering the selectivity puzzle over dual-atom catalyst
Jia Zhao, Sen Lin
Journal of Colloid and Interface Science (2024) Vol. 680, pp. 257-264
Closed Access
F and N Codoped Bimetallic Oxide‐Reduced Graphene Oxide Composite Electrode FN‐NA‐CLDH@RGO for Electrocatalytic Reduction of CO2 to CO
Tianxia Liu, Errui Liu, Yaping Zhang
Energy Technology (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 1
Accelerating Design of Catalysts for the Co2 Electroreduction to Hcooh: A Data-Driven Dft-Machine Learning Screening of Dual Atom Catalysts
Huiwen Zhu, Zeyu Guo, Dawei Lan, et al.
(2023)
Closed Access
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