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:

Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios
Fernando Jaume-Santero, Alban Bornet, Alain Valery, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 7, pp. 1914-1924
Open Access | Times Cited: 18

Showing 18 citing articles:

Large language models for science and medicine
Amalio Telenti, Michael Auli, Brian Hie, et al.
European Journal of Clinical Investigation (2024) Vol. 54, Iss. 6
Closed Access | Times Cited: 10

Application of Transformers to Chemical Synthesis
Dong Jin, Yuan Liang, Zihao Xiong, et al.
Molecules (2025) Vol. 30, Iss. 3, pp. 493-493
Open Access

Do Chemformers Dream of Organic Matter? Evaluating a Transformer Model for Multistep Retrosynthesis
Annie M. Westerlund, Siva Manohar Koki, Supriya Kancharla, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3021-3033
Closed Access | Times Cited: 5

Application of Transformers in Cheminformatics
Kha-Dinh Luong, Ambuj K. Singh
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 11, pp. 4392-4409
Open Access | Times Cited: 5

Machine learning-guided strategies for reaction conditions design and optimization
Lung-Yi Chen, Yi‐Pei Li
Beilstein Journal of Organic Chemistry (2024) Vol. 20, pp. 2476-2492
Open Access | Times Cited: 3

Leveraging Language Model Multitasking To Predict C–H Borylation Selectivity
Ruslan Kotlyarov, Konstantinos Papachristos, Geoffrey P. F. Wood, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 10, pp. 4286-4297
Open Access | Times Cited: 2

SynRoute: A Retrosynthetic Planning Software
Mario Latendresse, Jeremiah P. Malerich, James A. Herson, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 17, pp. 5484-5495
Open Access | Times Cited: 6

Machine Learning Models Capable of Chemical Deduction for Identifying Reaction Products
Tianfan Jin, Qiyuan Zhao, Andrew B. Schofield, et al.
(2023)
Open Access | Times Cited: 5

Investigating Enzyme Biochemistry by Deep Learning: A Computational Tool for a New Era
Milad Rayka, Morteza Mirzaei, Gholamreza Farnoosh, et al.
Journal of Computational Biophysics and Chemistry (2024) Vol. 23, Iss. 06, pp. 781-799
Closed Access | Times Cited: 1

Completion of Partial Chemical Equations
Federico Zipoli, Zeineb Ayadi, Philippe Schwaller, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025071-025071
Open Access | Times Cited: 1

Artificial Intelligence Methods and Models for Retro-Biosynthesis: A Scoping Review
Guillaume Gricourt, Philippe Meyer, Thomas Duigou, et al.
ACS Synthetic Biology (2024) Vol. 13, Iss. 8, pp. 2276-2294
Open Access | Times Cited: 1

Do Chemformers dream of organic matter? Evaluating a transformer model for multi-step retrosynthesis
Annie M. Westerlund, Siva Manohar Koki, Supriya Kancharla, et al.
(2023)
Open Access | Times Cited: 2

BARTReact: SELFIES-driven precision in reaction modeling
Daniel Farfán, Carolina Gómez-Márquez, Dania Sandoval-Nuñez, et al.
Franklin Open (2024) Vol. 7, pp. 100106-100106
Open Access

Deductive machine learning models for product identification
Tianfan Jin, Qiyuan Zhao, Andrew B. Schofield, et al.
Chemical Science (2024) Vol. 15, Iss. 30, pp. 11995-12005
Open Access

CatScore: Evaluating Asymmetric Catalyst Design at High Efficiency
Bing Yan, Kyunghyun Cho
Digital Discovery (2024) Vol. 3, Iss. 8, pp. 1624-1637
Open Access

Computer‐Aided Synthesis Planning (CASP) and Machine Learning: Optimizing Chemical Reaction Conditions
Han Yu, Mingjing Deng, Ke Liu, et al.
Chemistry - A European Journal (2024)
Closed Access

RLSynC: Offline–Online Reinforcement Learning for Synthon Completion
Frazier N. Baker, Ziqi Chen, Daniel Adu‐Ampratwum, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 17, pp. 6723-6735
Open Access

Reacon: a template- and cluster-based framework for reaction condition prediction
Zihan Wang, Kangjie Lin, Jianfeng Pei, et al.
Chemical Science (2024)
Open Access

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