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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:

Selective functionalization of hindered meta-C–H bond of o-alkylaryl ketones promoted by automation and deep learning
Jia Qiu, Jiancong Xie, Shimin Su, et al.
Chem (2022) Vol. 8, Iss. 12, pp. 3275-3287
Open Access | Times Cited: 22

Showing 22 citing articles:

Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
David F. Nippa, Kenneth Atz, Remo Hohler, et al.
Nature Chemistry (2023) Vol. 16, Iss. 2, pp. 239-248
Open Access | Times Cited: 32
Hybrid Machine Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation
Eike Caldeweyher, Masha Elkin, Golsa Gheibi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 31, pp. 17367-17376
Closed Access | Times Cited: 26
Transform Drug Discovery and Development With Generative Artificial Intelligence
Antonio Lavecchia
(2025), pp. 489-537
Closed Access
From intuition to AI: evolution of small molecule representations in drug discovery
Miles McGibbon, Steven Shave, Jie Dong, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 17
HTE and machine learning-assisted development of iridium(i)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones
Yougen Xu, Feixiao Ren, Lebin Su, et al.
Organic Chemistry Frontiers (2023) Vol. 10, Iss. 5, pp. 1153-1159
Closed Access | Times Cited: 16
High‐Throughput Experimentation and Machine Learning‐Assisted Optimization of Iridium‐Catalyzed Cross‐Dimerization of Sulfoxonium Ylides
Yougen Xu, Ya-Dong Gao, Lebin Su, et al.
Angewandte Chemie International Edition (2023) Vol. 62, Iss. 48
Closed Access | Times Cited: 14
HTE- and AI-assisted development of DHP-catalyzed decarboxylative selenation
Zhunzhun Yu, Yaxian Kong, Baiqing Li, et al.
Chemical Communications (2023) Vol. 59, Iss. 20, pp. 2935-2938
Closed Access | Times Cited: 10
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
Self-Supervised Contrastive Molecular Representation Learning with a Chemical Synthesis Knowledge Graph
Jiancong Xie, Yi Wang, Jiahua Rao, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1945-1954
Closed Access | Times Cited: 2
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: 2
A Hybrid Machine-Learning Approach to Predict the Site Selectivity of Iridium-Catalyzed Arene Borylation
Eike Caldeweyher, Masha Elkin, Golsa Gheibi, et al.
(2023)
Open Access | Times Cited: 5
Prediction of the Infrared Absorbance Intensities and Frequencies of Hydrocarbons: A Message Passing Neural Network Approach
Maliheh Shaban Tameh, Veaceslav Coropceanu, Thomas A. R. Purcell, et al.
The Journal of Physical Chemistry A (2024) Vol. 128, Iss. 44, pp. 9695-9706
Open Access | Times Cited: 1
High-throughput experimentation and machine learning-promoted synthesis of α-phosphoryloxy ketones via Ru-catalyzed P(O)O-H insertion reactions of sulfoxonium ylides
Lin An, Jingyuan Liu, Yougen Xu, et al.
Science China Chemistry (2024)
Closed Access | Times Cited: 1
Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
David F. Nippa, Kenneth Atz, Remo Hohler, et al.
(2022)
Open Access | Times Cited: 7
High‐Throughput Experimentation and Machine Learning‐Assisted Optimization of Iridium‐Catalyzed Cross‐Dimerization of Sulfoxonium Ylides
Yougen Xu, Ya-Dong Gao, Lebin Su, et al.
Angewandte Chemie (2023) Vol. 135, Iss. 48
Closed Access | Times Cited: 3
Enabling late-stage drug diversification by high-throughput experimentation with geometric deep learning
David F. Nippa, Kenneth Atz, Remo Hohler, et al.
(2022)
Open Access | Times Cited: 6
Intermediate Knowledge Enhanced the Performance of N-Acylation Yield Prediction Model
Chonghuan Zhang, Qianghua Lin, Hao Deng, et al.
(2024)
Open Access
Artificial Intelligence-Driven Development of Nickel-Catalyzed Enantioselective Cross-Coupling Reactions
Yadong Gao, Kunjun Hu, Jianhang Rao, et al.
ACS Catalysis (2024), pp. 18457-18468
Closed Access
Integrating supercomputing and artificial intelligence for life science
Jiahua Rao, Shuangjia Zheng, Yuedong Yang
Patterns (2022) Vol. 3, Iss. 12, pp. 100653-100653
Open Access | Times Cited: 1
Synthesize in a Smart Way: A Brief Introduction to Intelligence and Automation in Organic Synthesis
Dian‐Zhao Lin, Guichun Fang, Kuangbiao Liao
Challenges and advances in computational chemistry and physics (2023), pp. 227-275
Closed Access
Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence
Chengchun Liu, Yuntian Chen, Fanyang Mo
National Science Open (2023), pp. 20230037-20230037
Open Access
Automated and intelligent chemical synthesis
Ling Yu, Changxu Lin, Da Zhou, et al.
Scientia Sinica Chimica (2022) Vol. 53, Iss. 1, pp. 48-65
Open Access
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