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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:

Design and Optimization of Catalysts Based on Mechanistic Insights Derived from Quantum Chemical Reaction Modeling
Seihwan Ahn, Mannkyu Hong, Mahesh Sundararajan, et al.
Chemical Reviews (2019) Vol. 119, Iss. 11, pp. 6509-6560
Closed Access | Times Cited: 192

Showing 1-25 of 192 citing articles:

Computational Discovery of Transition-metal Complexes: From High-throughput Screening to Machine Learning
Aditya Nandy, Chenru Duan, Michael G. Taylor, et al.
Chemical Reviews (2021) Vol. 121, Iss. 16, pp. 9927-10000
Closed Access | Times Cited: 213
Exploiting attractive non-covalent interactions for the enantioselective catalysis of reactions involving radical intermediates
Rupert S. J. Proctor, Avene C. Colgan, Robert J. Phipps
Nature Chemistry (2020) Vol. 12, Iss. 11, pp. 990-1004
Open Access | Times Cited: 184
Quantitative Structure–Selectivity Relationships in Enantioselective Catalysis: Past, Present, and Future
Andrew F. Zahrt, Soumitra V. Athavale, Scott E. Denmark
Chemical Reviews (2019) Vol. 120, Iss. 3, pp. 1620-1689
Open Access | Times Cited: 177
Automated in Silico Design of Homogeneous Catalysts
Marco Foscato, Vidar R. Jensen
ACS Catalysis (2020) Vol. 10, Iss. 3, pp. 2354-2377
Open Access | Times Cited: 175
Deep Learning for Deep Chemistry: Optimizing the Prediction of Chemical Patterns
Tânia Cova, Alberto A. C. C. Pais
Frontiers in Chemistry (2019) Vol. 7
Open Access | Times Cited: 163
Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex
Pascal Friederich, Gabriel dos Passos Gomes, Riccardo De Bin, et al.
Chemical Science (2020) Vol. 11, Iss. 18, pp. 4584-4601
Open Access | Times Cited: 152
Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 75
Picking the lock of coordination cage catalysis
Tomasz K. Piskorz, Vicente Martí‐Centelles, Rebecca L. Spicer, et al.
Chemical Science (2023) Vol. 14, Iss. 41, pp. 11300-11331
Open Access | Times Cited: 55
Exploring paths of chemical transformations in molecular and periodic systems: An approach utilizing force
Satoshi Maeda, Yu Harabuchi
Wiley Interdisciplinary Reviews Computational Molecular Science (2021) Vol. 11, Iss. 6
Open Access | Times Cited: 102
Development of a Computer-Guided Workflow for Catalyst Optimization. Descriptor Validation, Subset Selection, and Training Set Analysis
Jeremy Henle, Andrew F. Zahrt, Brennan T. Rose, et al.
Journal of the American Chemical Society (2020) Vol. 142, Iss. 26, pp. 11578-11592
Closed Access | Times Cited: 82
Building a Toolbox for the Analysis and Prediction of Ligand and Catalyst Effects in Organometallic Catalysis
Derek J. Durand, Natalie Fey
Accounts of Chemical Research (2021) Vol. 54, Iss. 4, pp. 837-848
Open Access | Times Cited: 65
Mechanism and Stereochemistry of Rhodium-Catalyzed [5 + 2 + 1] Cycloaddition of Ene–Vinylcyclopropanes and Carbon Monoxide Revealed by Visual Kinetic Analysis and Quantum Chemical Calculations
Yi Wang, Wei Liao, Yuanyuan Wang, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 6, pp. 2624-2636
Closed Access | Times Cited: 41
AQME: Automated quantum mechanical environments for researchers and educators
Juan V. Alegre‐Requena, Shree Sowndarya S. V., Raúl Pérez‐Soto, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 34
Data-driven design of new chiral carboxylic acid for construction of indoles with C-central and C–N axial chirality via cobalt catalysis
Zijing Zhang, Shuwen Li, João C. A. Oliveira, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 31
Computational Evolution Of New Catalysts For The Morita–Baylis–Hillman Reaction**
Julius Seumer, Jonathan Kirschner Solberg Hansen, Mogens Brøndsted Nielsen, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 18
Open Access | Times Cited: 28
Reaction performance prediction with an extrapolative and interpretable graph model based on chemical knowledge
Shu-Wen Li, Li‐Cheng Xu, Cheng Zhang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 24
Advances in in situ/operando techniques for catalysis research: enhancing insights and discoveries
Linfeng Chen, Xinzhi Ding, Zheren Wang, et al.
Surface Science and Technology (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 10
Quantum-mechanical transition-state model combined with machine learning provides catalyst design features for selective Cr olefin oligomerization
Steven M. Maley, Doo‐Hyun Kwon, Nick E. Rollins, et al.
Chemical Science (2020) Vol. 11, Iss. 35, pp. 9665-9674
Open Access | Times Cited: 66
Established and Emerging Computational Tools to Study Homogeneous Catalysis—From Quantum Mechanics to Machine Learning
Ignacio Funes‐Ardoiz, Franziska Schoenebeck
Chem (2020) Vol. 6, Iss. 8, pp. 1904-1913
Open Access | Times Cited: 64
SEQCROW: AChimeraXbundle to facilitate quantum chemical applications to complex molecular systems
Anthony J. Schaefer, Victoria M. Ingman, Steven E. Wheeler
Journal of Computational Chemistry (2021) Vol. 42, Iss. 24, pp. 1750-1754
Closed Access | Times Cited: 44
Towards Data‐Driven Design of Asymmetric Hydrogenation of Olefins: Database and Hierarchical Learning
Li‐Cheng Xu, Shuo‐Qing Zhang, Xin Li, et al.
Angewandte Chemie International Edition (2021) Vol. 60, Iss. 42, pp. 22804-22811
Closed Access | Times Cited: 41
New Insights and Predictions into Complex Homogeneous Reactions Enabled by Computational Chemistry in Synergy with Experiments: Isotopes and Mechanisms
Jialing Lan, Xin Li, Yuhong Yang, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 8, pp. 1109-1123
Closed Access | Times Cited: 30
Transition metal oxide complexes as molecular catalysts for selective methane to methanol transformation: any prospects or time to retire?
Emily E. Claveau, Safaa Sader, Benjamin A. Jackson, et al.
Physical Chemistry Chemical Physics (2023) Vol. 25, Iss. 7, pp. 5313-5326
Closed Access | Times Cited: 19
Palladium-Catalyzed Synthesis of Linked Bis-Heterocycles─Synthesis and Investigation of Photophysical Properties
Ramon Arora, Bijan Mirabi, Andrew G. Durant, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 49, pp. 26623-26631
Closed Access | Times Cited: 18
Catalyst-Substrate Helical Character Matching Determines the Enantioselectivity in the Ishihara-Type Iodoarenes Catalyzed Asymmetric Kita-Dearomative Spirolactonization
Hanliang Zheng, Cai Liu, Ming Pan, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 13, pp. 7301-7312
Closed Access | Times Cited: 17
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