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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:

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: 36

Showing 1-25 of 36 citing articles:

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: 40
Genetic Optimization of Homogeneous Catalysts
Rubén Laplaza, Simone Gallarati, Clémence Corminbœuf
Chemistry - Methods (2022) Vol. 2, Iss. 6
Open Access | Times Cited: 43
When machine learning meets molecular synthesis
João C. A. Oliveira, Johanna Frey, Shuo‐Qing Zhang, et al.
Trends in Chemistry (2022) Vol. 4, Iss. 10, pp. 863-885
Closed Access | Times Cited: 37
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: 24
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
Data Science Guided Multiobjective Optimization of a Stereoconvergent Nickel-Catalyzed Reduction of Enol Tosylates to Access Trisubstituted Alkenes
Natalie P. Romer, Daniel S. Min, Jason Y. Wang, et al.
ACS Catalysis (2024) Vol. 14, Iss. 7, pp. 4699-4708
Closed Access | Times Cited: 6
Machine Learning for Reaction Performance Prediction in Allylic Substitution Enhanced by Automatic Extraction of a Substrate-Aware Descriptor
Gufeng Yu, Xi Wang, Yugong Luo, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 312-325
Closed Access
Database Construction for the Virtual Screening of the Ruthenium-Catalyzed Hydrogenation of Ketones
Hidenori Nakajima, C. Murata, Naoki Noto, et al.
The Journal of Organic Chemistry (2025) Vol. 90, Iss. 2, pp. 1054-1060
Closed Access
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: 26
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: 26
High-throughput screening of CO2 cycloaddition MOF catalyst with an explainable machine learning model
Xuefeng Bai, Yi Li, Ya-Bo Xie, et al.
Green Energy & Environment (2024)
Open Access | Times Cited: 4
Ketogenic diet reshapes cancer metabolism through lysine β-hydroxybutyrylation
Junhong Qin, Xinhe Huang, Shengsong Gou, et al.
Nature Metabolism (2024) Vol. 6, Iss. 8, pp. 1505-1528
Closed Access | Times Cited: 4
Machine Learning Applications for Chemical Reactions
Sanggil Park, Herim Han, Hyungjun Kim, et al.
Chemistry - An Asian Journal (2022) Vol. 17, Iss. 14
Open Access | Times Cited: 25
An Ensemble Structure and Physicochemical (SPOC) Descriptor for Machine‐Learning Prediction of Chemical Reaction and Molecular Properties
Qi Yang, Yidi Liu, Junjie Cheng, et al.
ChemPhysChem (2022) Vol. 23, Iss. 14
Closed Access | Times Cited: 20
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
Machine-learning-guided prediction of Cu-based electrocatalysts towards ethylene production in CO2 reduction
Qing Zhang, Kai Zhu, Yuhong Luo, et al.
Molecular Catalysis (2023) Vol. 547, pp. 113366-113366
Closed Access | Times Cited: 8
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
https://2DMat.ChemDX.org: Experimental data platform for 2D materials from synthesis to physical properties
Jin‐Hoon Yang, Habin Kang, Hyuk Jin Kim, et al.
Digital Discovery (2024) Vol. 3, Iss. 3, pp. 573-585
Open Access | Times Cited: 1
Data-Driven Phosphine Ligand Design of Ni-Catalyzed Enantioselective Suzuki–Miyaura Cross-Coupling Reaction for the Synthesis of Biaryl Atropisomers: standing on the shoulder of Pd catalysis giants
Xinyuan Xu, Li‐Cheng Xu, Li‐Gao Liu, et al.
(2024)
Open Access | Times Cited: 1
Probing machine learning models based on high throughput experimentation data for the discovery of asymmetric hydrogenation catalysts
Adarsh V. Kalikadien, Cecile Valsecchi, Robbert van Putten, et al.
Chemical Science (2024) Vol. 15, Iss. 34, pp. 13618-13630
Open Access | Times Cited: 1
Personalized machine learning models of terminal olefin hydroformylation for regioselectivity prediction
Hao Wang, Yuzhuo Chen, Yu Hang, et al.
Chem Catalysis (2024) Vol. 4, Iss. 9, pp. 101079-101079
Closed Access | Times Cited: 1
Photocatalytic Hydrogenation of Alkenes Using Water as Both the Reductant and the Proton Source
Xinzhe Tian, Ming Qiu, Wankai An, et al.
Advanced Science (2024) Vol. 11, Iss. 44
Open Access | Times Cited: 1
QM9star, two Million DFT-computed Equilibrium Structures for Ions and Radicals with Atomic Information
Miao‐Jiong Tang, Tiancheng Zhu, Shuo‐Qing Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Machine learning for the yield prediction of CO2 cyclization reaction catalyzed by the ionic liquids
Jinya Li, Shuya Dong, Beibei An, et al.
Fuel (2022) Vol. 335, pp. 126942-126942
Closed Access | Times Cited: 9
Machine Learning Prediction of Structure‐Performance Relationship in Organic Synthesis
Li‐Cheng Yang, Lu‐Jing Zhu, Shuo‐Qing Zhang, et al.
Chinese Journal of Chemistry (2022) Vol. 40, Iss. 17, pp. 2106-2117
Closed Access | Times Cited: 8
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