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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:

Machine Learning for Chemical Reactions
Markus Meuwly
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 10218-10239
Closed Access | Times Cited: 290

Showing 1-25 of 290 citing articles:

Lattice oxygen redox chemistry in solid-state electrocatalysts for water oxidation
Ning Zhang, Yang Chai
Energy & Environmental Science (2021) Vol. 14, Iss. 9, pp. 4647-4671
Closed Access | Times Cited: 347
Applying Classical, Ab Initio, and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries
Nan Yao, Xiang Chen, Zhongheng Fu, et al.
Chemical Reviews (2022) Vol. 122, Iss. 12, pp. 10970-11021
Closed Access | Times Cited: 261
Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery
Haoxin Mai, Tu C. Le, Dehong Chen, et al.
Chemical Reviews (2022) Vol. 122, Iss. 16, pp. 13478-13515
Closed Access | Times Cited: 242
Perspective on integrating machine learning into computational chemistry and materials science
Julia Westermayr, Michael Gastegger, Kristof T. Schütt, et al.
The Journal of Chemical Physics (2021) Vol. 154, Iss. 23
Open Access | Times Cited: 157
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel, et al.
Patterns (2022) Vol. 3, Iss. 10, pp. 100588-100588
Open Access | Times Cited: 144
Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors
Li‐Tao Zhu, Xizhong Chen, Bo Ouyang, et al.
Industrial & Engineering Chemistry Research (2022) Vol. 61, Iss. 28, pp. 9901-9949
Open Access | Times Cited: 133
Applying Machine Learning to Rechargeable Batteries: From the Microscale to the Macroscale
Xiang Chen, Xinyan Liu, Xin Shen, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 46, pp. 24354-24366
Closed Access | Times Cited: 112
Combustion, Chemistry, and Carbon Neutrality
Katharina Kohse‐Höinghaus
Chemical Reviews (2023) Vol. 123, Iss. 8, pp. 5139-5219
Open Access | Times Cited: 104
Overview on Theoretical Simulations of Lithium‐Ion Batteries and Their Application to Battery Separators
D. Miranda, Renato Gonçalves, Stefan Wuttke, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 13
Open Access | Times Cited: 76
Chemical reaction networks and opportunities for machine learning
Mingjian Wen, Evan Walter Clark Spotte‐Smith, Samuel M. Blau, et al.
Nature Computational Science (2023) Vol. 3, Iss. 1, pp. 12-24
Closed Access | Times Cited: 62
Machine Learning-Assisted Low-Dimensional Electrocatalysts Design for Hydrogen Evolution Reaction
Jin Li, Naiteng Wu, Jian Zhang, et al.
Nano-Micro Letters (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 56
Exploiting machine learning for controlled synthesis of carbon dots-based corrosion inhibitors
Haijie He, E Shuang, Li Ai, et al.
Journal of Cleaner Production (2023) Vol. 419, pp. 138210-138210
Closed Access | Times Cited: 49
Machine learning assisted advanced battery thermal management system: A state-of-the-art review
Ao Li, Jingwen Weng, Anthony Chun Yin Yuen, et al.
Journal of Energy Storage (2023) Vol. 60, pp. 106688-106688
Closed Access | Times Cited: 43
Electron Microscopy Studies of Soft Nanomaterials
Zhiheng Lyu, Lehan Yao, Wenxiang Chen, et al.
Chemical Reviews (2023) Vol. 123, Iss. 7, pp. 4051-4145
Closed Access | Times Cited: 41
Reactant-induced dynamics of lithium imide surfaces during the ammonia decomposition process
Manyi Yang, Umberto Raucci, Michele Parrinello
Nature Catalysis (2023) Vol. 6, Iss. 9, pp. 829-836
Open Access | Times Cited: 38
Perovskite oxide composites for bifunctional oxygen electrocatalytic activity and zinc-air battery application- a mini-review
Pandiyarajan Anand, Ming‐Show Wong, Yen‐Pei Fu
Energy storage materials (2023) Vol. 58, pp. 362-380
Closed Access | Times Cited: 37
Accelerated chemical science with AI
Seoin Back, Alán Aspuru-Guzik, Michele Ceriotti, et al.
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 23-33
Open Access | Times Cited: 37
Advancements in nanomaterials for nanosensors: a comprehensive review
Moustafa A. Darwish, Walaa Abd‐Elaziem, Ammar H. Elsheikh, et al.
Nanoscale Advances (2024) Vol. 6, Iss. 16, pp. 4015-4046
Open Access | Times Cited: 29
Biomolecular dynamics with machine-learned quantum-mechanical force fields trained on diverse chemical fragments
Oliver T. Unke, Martin Stöhr, Stefan Ganscha, et al.
Science Advances (2024) Vol. 10, Iss. 14
Open Access | Times Cited: 16
Machine Learning of Reaction Properties via Learned Representations of the Condensed Graph of Reaction
Esther Heid, William H. Green
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 9, pp. 2101-2110
Open Access | Times Cited: 77
Neural network potentials for chemistry: concepts, applications and prospects
Silvan Käser, Luis Itza Vazquez-Salazar, Markus Meuwly, et al.
Digital Discovery (2022) Vol. 2, Iss. 1, pp. 28-58
Open Access | Times Cited: 61
Opportunities and challenges of organic flow battery for electrochemical energy storage technology
Ziming Zhao, Changkun Zhang, Xianfeng Li
Journal of Energy Chemistry (2021) Vol. 67, pp. 621-639
Open Access | Times Cited: 58
Progress of Experimental and Computational Catalyst Design for Electrochemical Nitrogen Fixation
Zhe Chen, Chunli Liu, Licheng Sun, et al.
ACS Catalysis (2022) Vol. 12, Iss. 15, pp. 8936-8975
Closed Access | Times Cited: 57
Toward autonomous laboratories: Convergence of artificial intelligence and experimental automation
Yunchao Xie, Kianoosh Sattari, Chi Zhang, et al.
Progress in Materials Science (2022) Vol. 132, pp. 101043-101043
Open Access | Times Cited: 53
Fast Predictions of Reaction Barrier Heights: Toward Coupled-Cluster Accuracy
Kevin Spiekermann, Lagnajit Pattanaik, William H. Green
The Journal of Physical Chemistry A (2022) Vol. 126, Iss. 25, pp. 3976-3986
Open Access | Times Cited: 52
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