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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:

Navigating through the Maze of Homogeneous Catalyst Design with Machine Learning
Gabriel dos Passos Gomes, Robert Pollice, Alán Aspuru‐Guzik
Trends in Chemistry (2021) Vol. 3, Iss. 2, pp. 96-110
Open Access | Times Cited: 74

Showing 1-25 of 74 citing articles:

Machine Learning Methods for Small Data Challenges in Molecular Science
Bozheng Dou, Zailiang Zhu, Ekaterina Merkurjev, et al.
Chemical Reviews (2023) Vol. 123, Iss. 13, pp. 8736-8780
Open Access | Times Cited: 144
Accelerated dinuclear palladium catalyst identification through unsupervised machine learning
Julian A. Hueffel, Theresa Sperger, Ignacio Funes‐Ardoiz, et al.
Science (2021) Vol. 374, Iss. 6571, pp. 1134-1140
Closed Access | Times Cited: 106
Beyond generative models: superfast traversal, optimization, novelty, exploration and discovery (STONED) algorithm for molecules using SELFIES
AkshatKumar Nigam, Robert Pollice, Mario Krenn, et al.
Chemical Science (2021) Vol. 12, Iss. 20, pp. 7079-7090
Open Access | Times Cited: 99
Artificial design of organic emitters via a genetic algorithm enhanced by a deep neural network
AkshatKumar Nigam, Robert Pollice, Pascal Friederich, et al.
Chemical Science (2024) Vol. 15, Iss. 7, pp. 2618-2639
Open Access | Times Cited: 13
Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis
Miguel Steiner, Markus Reiher
Topics in Catalysis (2022) Vol. 65, Iss. 1-4, pp. 6-39
Open Access | Times Cited: 51
New Strategies for Direct Methane-to-Methanol Conversion from Active Learning Exploration of 16 Million Catalysts
Aditya Nandy, Chenru Duan, Conrad Goffinet, et al.
JACS Au (2022) Vol. 2, Iss. 5, pp. 1200-1213
Open Access | Times Cited: 51
Genetic Optimization of Homogeneous Catalysts
Rubén Laplaza, Simone Gallarati, Clémence Corminbœuf
Chemistry - Methods (2022) Vol. 2, Iss. 6
Open Access | Times Cited: 43
Using Computational Chemistry To Reveal Nature’s Blueprints for Single-Site Catalysis of C–H Activation
Aditya Nandy, Husain Adamji, David W. Kastner, et al.
ACS Catalysis (2022) Vol. 12, Iss. 15, pp. 9281-9306
Closed Access | Times Cited: 37
Deep learning metal complex properties with natural quantum graphs
Hannes Kneiding, Ruslan Lukin, Lucas Lang, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 618-633
Open Access | Times Cited: 21
Directional multiobjective optimization of metal complexes at the billion-system scale
Hannes Kneiding, Ainara Nova, David Balcells
Nature Computational Science (2024) Vol. 4, Iss. 4, pp. 263-273
Open Access | Times Cited: 11
Paving the road towards automated homogeneous catalyst design
Adarsh V. Kalikadien, A.H. Mirza, Aydin Najl Hossaini, et al.
ChemPlusChem (2024) Vol. 89, Iss. 7
Open Access | Times Cited: 9
Screening biomass by machine learning to construct Fe/Co loaded carbon for organic pollutants degradation via peroxymonosulfate activation
Baoying Wang, Huan‐Yan Xu, Jingming Lan, et al.
Separation and Purification Technology (2025), pp. 131664-131664
Closed Access
Towards quantifying catalytic activity of homogeneous Brønsted acid catalysts
G. M. Maksimov, Märt Lõkov, Lauri Toom, et al.
Molecular Catalysis (2025) Vol. 573, pp. 114846-114846
Closed Access
Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value‐added Products
Maurice Dörr, Maximilian M. Hielscher, Jonny Proppe, et al.
ChemElectroChem (2021) Vol. 8, Iss. 14, pp. 2621-2629
Closed Access | Times Cited: 52
Mechanistically Guided Workflow for Relating Complex Reactive Site Topologies to Catalyst Performance in C–H Functionalization Reactions
Ryan C. Cammarota, Wenbin Liu, John Bacsa, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 4, pp. 1881-1898
Closed Access | Times Cited: 27
Improving machine learning performance on small chemical reaction data with unsupervised contrastive pretraining
Mingjian Wen, Samuel M. Blau, Xiaowei Xie, et al.
Chemical Science (2022) Vol. 13, Iss. 5, pp. 1446-1458
Open Access | Times Cited: 26
Open-Source Chromatographic Data Analysis for Reaction Optimization and Screening
Christian P. Haas, Maximilian Lübbesmeyer, Edward H. Jin, et al.
ACS Central Science (2023) Vol. 9, Iss. 2, pp. 307-317
Open Access | Times Cited: 19
Machine Learning-Guided Development of Trialkylphosphine Ni(I) Dimers and Applications in Site-Selective Catalysis
Teresa M. Karl, Samir Bouayad‐Gervais, Julian A. Hueffel, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 28, pp. 15414-15424
Closed Access | Times Cited: 17
Transfer learning using attentions across atomic systems with graph neural networks (TAAG)
Adeesh Kolluru, Nima Shoghi, Muhammed Shuaibi, et al.
The Journal of Chemical Physics (2022) Vol. 156, Iss. 18
Open Access | Times Cited: 24
Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO2 hydrogenation to methanol and ethylene glycol process
Qingchun Yang, Yingjie Fan, Zhou Jianlong, et al.
Green Chemistry (2023) Vol. 25, Iss. 18, pp. 7216-7233
Closed Access | Times Cited: 12
Computational Organometallic Catalysis: Where We Are, Where We Are Going
Agustı́ Lledós
European Journal of Inorganic Chemistry (2021) Vol. 2021, Iss. 26, pp. 2547-2555
Open Access | Times Cited: 30
Descriptor-Free Design of Multicomponent Catalysts
Ying Zhang, Torin C. Peck, Gunugunuri K. Reddy, et al.
ACS Catalysis (2022) Vol. 12, Iss. 17, pp. 10562-10571
Closed Access | Times Cited: 20
An induced-fit model for asymmetric organocatalytic reactions: a case study of the activation of olefins via chiral Brønsted acid catalysts
Ingolf Harden, Frank Neese, Giovanni Bistoni
Chemical Science (2022) Vol. 13, Iss. 30, pp. 8848-8859
Open Access | Times Cited: 17
Computer‐Driven Development of Ylide Functionalized Phosphines for Palladium‐Catalyzed Hiyama Couplings
Jonas F. Goebel, Julian Löffler, Zhongyi Zeng, et al.
Angewandte Chemie International Edition (2022) Vol. 62, Iss. 9
Open Access | Times Cited: 15
Genetic Algorithms for the Discovery of Homogeneous Catalysts
Simone Gallarati, Puck van Gerwen, Alexandre A. Schoepfer, et al.
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 1/2, pp. 39-39
Open Access | Times Cited: 8
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