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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:

Data Science Meets Physical Organic Chemistry
Jennifer M. Crawford, Cian Kingston, F. Dean Toste, et al.
Accounts of Chemical Research (2021) Vol. 54, Iss. 16, pp. 3136-3148
Open Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Recognition in the Domain of Molecular Chirality: From Noncovalent Interactions to Separation of Enantiomers
Paola Peluso, Bezhan Chankvetadze
Chemical Reviews (2022) Vol. 122, Iss. 16, pp. 13235-13400
Closed Access | Times Cited: 170
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: 156
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: 77
Enantioselectivity prediction of pallada-electrocatalysed C–H activation using transition state knowledge in machine learning
Li‐Cheng Xu, Johanna Frey, Xiaoyan Hou, et al.
Nature Synthesis (2023) Vol. 2, Iss. 4, pp. 321-330
Closed Access | Times Cited: 48
Photocatalyzed Enantioselective Functionalization of C(sp3)–H Bonds
Guo‐Qiang Xu, Wei David Wang, Peng‐Fei Xu
Journal of the American Chemical Society (2024) Vol. 146, Iss. 2, pp. 1209-1223
Closed Access | Times Cited: 36
Applying statistical modeling strategies to sparse datasets in synthetic chemistry
Brittany C. Haas, Dipannita Kalyani, Matthew S. Sigman
Science Advances (2025) Vol. 11, Iss. 1
Closed Access | Times Cited: 3
Data-Driven Multi-Objective Optimization Tactics for Catalytic Asymmetric Reactions Using Bisphosphine Ligands
Jordan J. Dotson, Lucy van Dijk, Jacob C. Timmerman, et al.
Journal of the American Chemical Society (2022) Vol. 145, Iss. 1, pp. 110-121
Open Access | Times Cited: 68
Stereoconvergent and -divergent Synthesis of Tetrasubstituted Alkenes by Nickel-Catalyzed Cross-Couplings
Daniel Zell, Cian Kingston, Janis Jermaks, et al.
Journal of the American Chemical Society (2021) Vol. 143, Iss. 45, pp. 19078-19090
Open Access | Times Cited: 59
Asymmetric Hydrophosphinylation of Alkynes: Facile Access to Axially Chiral Styrene‐Phosphines
Baohua Cai, Yuan Cui, Jian Zhou, et al.
Angewandte Chemie International Edition (2022) Vol. 62, Iss. 3
Closed Access | Times Cited: 47
Predicting Highly Enantioselective Catalysts Using Tunable Fragment Descriptors**
Nobuya Tsuji, Pavel Sidorov, Chendan Zhu, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 11
Open Access | Times Cited: 41
Dataset Design for Building Models of Chemical Reactivity
Priyanka Raghavan, Brittany C. Haas, Madeline E. Ruos, et al.
ACS Central Science (2023) Vol. 9, Iss. 12, pp. 2196-2204
Open Access | Times Cited: 37
Molecular Machine Learning for Chemical Catalysis: Prospects and Challenges
Sukriti Singh, Raghavan B. Sunoj
Accounts of Chemical Research (2023) Vol. 56, Iss. 3, pp. 402-412
Closed Access | Times Cited: 35
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: 27
Using Data Science for Mechanistic Insights and Selectivity Predictions in a Non-Natural Biocatalytic Reaction
Hanna D. Clements, Autumn R. Flynn, Bryce T. Nicholls, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 32, pp. 17656-17664
Open Access | Times Cited: 25
Automation and machine learning augmented by large language models in a catalysis study
Yuming Su, Xue Wang, Yuanxiang Ye, et al.
Chemical Science (2024) Vol. 15, Iss. 31, pp. 12200-12233
Open Access | Times Cited: 13
Nickel-Catalyzed Atroposelective C–H Alkylation Enabled by Bimetallic Catalysis with Air-Stable Heteroatom-Substituted Secondary Phosphine Oxide Preligands
Zijing Zhang, Matthias M. Simon, Shuang Yu, et al.
Journal of the American Chemical Society (2024) Vol. 146, Iss. 13, pp. 9172-9180
Closed Access | Times Cited: 12
AI for organic and polymer synthesis
Hong Xin, Qi Yang, Kuangbiao Liao, et al.
Science China Chemistry (2024) Vol. 67, Iss. 8, pp. 2461-2496
Closed Access | Times Cited: 11
Automated Transition Metal Catalysts Discovery and Optimisation with AI and Machine Learning
S. Macé, Yingjian Xu, Bao N. Nguyen
ChemCatChem (2024) Vol. 16, Iss. 10
Open Access | Times Cited: 9
Parametrization of κ2-N,O-Oxazoline Preligands for Enantioselective Cobaltaelectro-Catalyzed C–H Activations
Suman Dana, Neeraj Kumar Pandit, Philipp Boos, et al.
ACS Catalysis (2025), pp. 4450-4459
Closed Access | Times Cited: 1
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
Mechanistic Inference from Statistical Models at Different Data-Size Regimes
Danilo M. Lustosa, Anat Milo
ACS Catalysis (2022) Vol. 12, Iss. 13, pp. 7886-7906
Closed Access | Times Cited: 29
Bridging Chemical Knowledge and Machine Learning for Performance Prediction of Organic Synthesis
Shuo‐Qing Zhang, Li‐Cheng Xu, Shu‐Wen Li, et al.
Chemistry - A European Journal (2022) Vol. 29, Iss. 6
Open Access | Times Cited: 29
Ligand-Based Principal Component Analysis Followed by Ridge Regression: Application to an Asymmetric Negishi Reaction
H. Ray Kelly, Sanil Sreekumar, Vidhyadhar Manee, et al.
ACS Catalysis (2024) Vol. 14, Iss. 7, pp. 5027-5038
Closed Access | Times Cited: 6
In-silico-assisted derivatization of triarylboranes for the catalytic reductive functionalization of aniline-derived amino acids and peptides with H2
Yusei Hisata, Takashi Washio, Shinobu Takizawa, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
High-Level Data Fusion Enables the Chemoinformatically Guided Discovery of Chiral Disulfonimide Catalysts for Atropselective Iodination of 2-Amino-6-arylpyridines
Brennan T. Rose, Jacob C. Timmerman, Seth A. Bawel, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 50, pp. 22950-22964
Closed Access | Times Cited: 27
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