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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:

Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis via Machine Learning
Manu Suvarna, Phil Preikschas, Javier Pérez‐Ramírez
ACS Catalysis (2022) Vol. 12, Iss. 24, pp. 15373-15385
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Embracing data science in catalysis research
Manu Suvarna, Javier Pérez‐Ramírez
Nature Catalysis (2024) Vol. 7, Iss. 6, pp. 624-635
Closed Access | Times Cited: 27
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: 24
Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture
Xiangzhou Yuan, Manu Suvarna, Juin Yau Lim, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 15, pp. 6628-6636
Open Access | Times Cited: 18
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
Optimization and prediction of catalysts for precise synthesis of methyl glycolate from dimethyl oxalate using machine learning coupled with particle swarm optimization algorithm
Qingchun Yang, Zhou Jianlong, Runjie Bao, et al.
Chemical Engineering Science (2024) Vol. 297, pp. 120295-120295
Closed Access | Times Cited: 14
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: 9
Active learning streamlines development of high performance catalysts for higher alcohol synthesis
Manu Suvarna, Tangsheng Zou, Sok Ho Chong, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 8
Data‐Driven Tunnel Oxide Passivated Contact Solar Cell Performance Analysis Using Machine Learning
Jiakai Zhou, T. Jesper Jacobsson, Zhi Wang, et al.
Advanced Materials (2024) Vol. 36, Iss. 14
Closed Access | Times Cited: 6
Unveiling the migration of Cr and Cd to biochar from pyrolysis of manure and sludge using machine learning
Jie Li, Lanjia Pan, Zhiwei Li, et al.
The Science of The Total Environment (2023) Vol. 885, pp. 163895-163895
Closed Access | Times Cited: 16
Accelerated discovery of multi-elemental reverse water-gas shift catalysts using extrapolative machine learning approach
Gang Wang, Shinya Mine, Duotian Chen, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 14
Identifying Catalyst Property Descriptors for CO2 Hydrogenation to Methanol via Big-Data Analysis
Dan Zhao, Nils Ortner, Martin Holeňa, et al.
ACS Catalysis (2023) Vol. 13, Iss. 16, pp. 10547-10559
Closed Access | Times Cited: 11
Methane Pyrolysis over Ordered Mesoporous Carbons and Carbon Blacks: Catalyst Design and Impact of Carbon Deposition
Simon De Langhe, Parviz Yazdani, Soroush Zareghorbaei, et al.
Industrial & Engineering Chemistry Research (2025)
Closed Access
Understanding the role of metal oxide support in ruthenium-based catalysts for ammonia synthesis via interpretable machine learning
Rasika Jayarathna, Rahat Javaid, Jochen Lauterbach
Journal of Catalysis (2025), pp. 116136-116136
Open Access
SPOCK Tool for Constructing Empirical Volcano Diagrams from Catalytic Data
Manu Suvarna, Rubén Laplaza, Romain Graux, et al.
ACS Catalysis (2025), pp. 7296-7307
Open Access
Data-Driven Insights into Porphyrin Geometry: Interpretable AI for Non-Planarity and Aromaticity Analyses
Shachar Fite, Zeev Gross
Journal of Chemical Information and Modeling (2025)
Closed Access
Machine-Learning-Assisted Descriptors Identification for Indoor Formaldehyde Oxidation Catalysts
Xinyuan Cao, Jisi Huang, Kexin Du, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 19, pp. 8372-8379
Closed Access | Times Cited: 3
A review of mechanistic insights into CO2 reduction to higher alcohols for rational catalyst design
Yao Sheng, Mikhail V. Polynski, Mathan K. Eswaran, et al.
Applied Catalysis B Environment and Energy (2023) Vol. 343, pp. 123550-123550
Closed Access | Times Cited: 9
The promotional role of Mn in CO2 hydrogenation over Rh-based catalysts from a surface organometallic chemistry approach
Wei Zhou, Scott R. Docherty, Christian Ehinger, et al.
Chemical Science (2023) Vol. 14, Iss. 20, pp. 5379-5385
Open Access | Times Cited: 8
Design of Cr-PNP catalysts for ethylene tri-/tetramerization assisted by a data-driven approach
Zijuan Luo, Jiale Peng, Yue Mu, et al.
Journal of Catalysis (2023) Vol. 428, pp. 115127-115127
Closed Access | Times Cited: 8
4D Catalysis Concept Enabled by Multilevel Data Collection and Machine Learning Analysis
Alexey S. Galushko, Valentine P. Ananikov
ACS Catalysis (2023) Vol. 14, Iss. 1, pp. 161-175
Closed Access | Times Cited: 7
Unravelling CO2 Reduction Reaction Intermediates on High Entropy Alloy Catalysts: An Interpretable Machine Learning Approach To Establish Scaling Relations
Diptendu Roy, Shyama Charan Mandal, A. Das, et al.
Chemistry - A European Journal (2023) Vol. 30, Iss. 6
Open Access | Times Cited: 5
A First Principles Mechanistic Study of Higher Alcohol Synthesis from Syngas on a Stepped Rhodium Surface
Ryan Lacdao Arevalo, Hiroshi Nakanishi
Catalysis Letters (2024) Vol. 154, Iss. 7, pp. 3418-3425
Open Access | Times Cited: 1
Exploring the role of process control and catalyst design in methane catalytic decomposition: A machine learning perspective
Yuming Wen, Shule Wang, Libo Wu, et al.
International Journal of Hydrogen Energy (2024) Vol. 72, pp. 601-613
Closed Access | Times Cited: 1
Influence of Cu:Fe ratio in synthesis of higher alcohols from syngas over CuFeCoK/attapulgite catalysts
Atte Aho, Noora Lind, Pasi Virtanen, et al.
Applied Catalysis O Open (2024) Vol. 193, pp. 206972-206972
Open Access | Times Cited: 1
Understanding the role of supported Rh atoms and clusters during hydroformylation and CO hydrogenation reactions with in situ/operando XAS and DRIFT spectroscopy
Bidyut Bikash Sarma, Dominik Neukum, Dmitry E. Doronkin, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12369-12379
Open Access | Times Cited: 1
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