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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:

Artificial-intelligence-driven discovery of catalyst genes with application to CO2 activation on semiconductor oxides
Aliaksei Mazheika, Yang‐Gang Wang, Rosendo Valero, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Facilitating Molecular Activation and Proton Feeding by Dual Active Sites on Polymeric Carbon Nitride for Efficient CO2Photoreduction
Xiaoqiang An, Qingwen Tang, Huachun Lan, et al.
Angewandte Chemie International Edition (2022) Vol. 61, Iss. 46
Closed Access | Times Cited: 79
Machine Learning: A New Paradigm in Computational Electrocatalysis
Xu Zhang, Yun Tian, Letian Chen, et al.
The Journal of Physical Chemistry Letters (2022) Vol. 13, Iss. 34, pp. 7920-7930
Closed Access | Times Cited: 74
Fusing a machine learning strategy with density functional theory to hasten the discovery of 2D MXene-based catalysts for hydrogen generation
B. Moses Abraham, Priyanka Sinha, Prosun Halder, et al.
Journal of Materials Chemistry A (2023) Vol. 11, Iss. 15, pp. 8091-8100
Closed Access | Times Cited: 62
Machine Learning Descriptors for Data‐Driven Catalysis Study
Li‐Hui Mou, TianTian Han, Pieter E. S. Smith, et al.
Advanced Science (2023) Vol. 10, Iss. 22
Open Access | Times Cited: 45
Machine-Learning-Driven High-Throughput Screening of Transition-Metal Atom Intercalated g-C3N4/MX2 (M = Mo, W; X = S, Se, Te) Heterostructures for the Hydrogen Evolution Reaction
M. V. Jyothirmai, Roshini Dantuluri, Priyanka Sinha, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 10, pp. 12437-12445
Closed Access | Times Cited: 23
Universal machine learning aided synthesis approach of two-dimensional perovskites in a typical laboratory
Yilei Wu, Changfeng Wang, Ming‐Gang Ju, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 21
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: 16
Learning Design Rules for Selective Oxidation Catalysts from High-Throughput Experimentation and Artificial Intelligence
Lucas Foppa, Christopher Sutton, Luca M. Ghiringhelli, et al.
ACS Catalysis (2022) Vol. 12, Iss. 4, pp. 2223-2232
Open Access | Times Cited: 38
Atom-Precise Low-Nuclearity Cluster Catalysis: Opportunities and Challenges
Jian Gu, Yuxing Xu, Junling Lu
ACS Catalysis (2023) Vol. 13, Iss. 8, pp. 5609-5634
Closed Access | Times Cited: 38
MatGPT: A Vane of Materials Informatics from Past, Present, to Future
Zhilong Wang, An Chen, Kehao Tao, et al.
Advanced Materials (2023) Vol. 36, Iss. 6
Closed Access | Times Cited: 29
Impacts of catalyst and process parameters on Ni-catalyzed methane dry reforming via interpretable machine learning
Keerthana Vellayappan, Yifei Yue, Kang Hui Lim, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 330, pp. 122593-122593
Closed Access | Times Cited: 23
Machine Learning-Driven Discovery of Key Descriptors for CO2Activation over Two-Dimensional Transition Metal Carbides and Nitrides
B. Moses Abraham, Oriol Piqué, Mohd Aamir Khan, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 25, pp. 30117-30126
Open Access | Times Cited: 23
Surface termination dependent carbon dioxide reduction reaction on Ti3C2 MXene
Ling Meng, Li‐Kai Yan, Francesc Viñes, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 13, pp. 7856-7874
Open Access | Times Cited: 13
Complementary supramolecular drug associates in perfecting the multidrug therapy against multidrug resistant bacteria
Pathik Sahoo
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 10
Interpretable Data‐Driven Descriptors for Establishing the Structure‐Activity Relationship of Metal–Organic Frameworks Toward Oxygen Evolution Reaction
Zhou Jian, Liangliang Xu, Huiyu Gai, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 36
Closed Access | Times Cited: 9
MXenes as Electrocatalysts for the CO2 Reduction Reaction: Recent Advances and Future Challenges
Ling Meng, Ebrahim Tayyebi, Kai S. Exner, et al.
ChemElectroChem (2024) Vol. 11, Iss. 5
Open Access | Times Cited: 8
Roadmap on data-centric materials science
Sebastian Bauer, Peter Benner, Tristan Bereau, et al.
Modelling and Simulation in Materials Science and Engineering (2024) Vol. 32, Iss. 6, pp. 063301-063301
Open Access | Times Cited: 8
Fundamental Understanding of Nonaqueous and Hybrid Na–CO2 Batteries: Challenges and Perspectives
Changfan Xu, Yulian Dong, Yonglong Shen, et al.
Small (2023) Vol. 19, Iss. 15
Open Access | Times Cited: 19
Looking for an Optimal Composition of Nickel-Based Catalysts for CO2 Methanation
Guido Busca, Elena Spennati, Paola Riani, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5304-5304
Open Access | Times Cited: 18
Designing materials acceleration platforms for heterogeneous CO2 photo(thermal)catalysis
Andrew Wang, Carlota Bozal‐Ginesta, Sai Govind Hari Kumar, et al.
Matter (2023) Vol. 6, Iss. 5, pp. 1334-1347
Open Access | Times Cited: 17
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: 16
Understanding the Reverse Water Gas Shift Reaction over Mo2C MXene Catalyst: A Holistic Computational Analysis
Daniel Dolz, Raúl De Armas, Pablo Lozano‐Reis, et al.
ChemCatChem (2024) Vol. 16, Iss. 15
Open Access | Times Cited: 7
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: 7
Structural Design of Single‐Atom Catalysts for Enhancing Petrochemical Catalytic Reaction Process
Min Li, Guangxun Sun, Zhidong Wang, et al.
Advanced Materials (2024) Vol. 36, Iss. 25
Closed Access | Times Cited: 6
A Critical Review on Artificial Intelligence for Fuel Cell Diagnosis
Somasundaram Chandra Kishore, Suguna Perumal, Raji Atchudan, et al.
Catalysts (2022) Vol. 12, Iss. 7, pp. 743-743
Open Access | Times Cited: 27
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