Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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: 40

Showing 1-25 of 40 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: 46
Self-Driving Laboratories for Chemistry and Materials Science
Gary Tom, Stefan P. Schmid, Sterling G. Baird, et al.
Chemical Reviews (2024) Vol. 124, Iss. 16, pp. 9633-9732
Open Access | Times Cited: 33
%VBur index and steric maps: from predictive catalysis to machine learning
Sílvia Escayola, Naeimeh Bahri‐Laleh, Albert Poater
Chemical Society Reviews (2023) Vol. 53, Iss. 2, pp. 853-882
Open 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: 24
Design rules applied to silver nanoparticles synthesis: A practical example of machine learning application.
Irini Furxhi, Lara Faccani, Ilaria Zanoni, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 25, pp. 20-33
Open 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: 8
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: 28
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: 18
Kinetically-driven reactivity of sulfinylamines enables direct conversion of carboxylic acids to sulfinamides
Hang T. Dang, Arka Porey, Sachchida Nand, et al.
Chemical Science (2023) Vol. 14, Iss. 46, pp. 13384-13391
Open Access | Times Cited: 17
A genetic optimization strategy with generality in asymmetric organocatalysis as a primary target
Simone Gallarati, Puck van Gerwen, Rubén Laplaza, et al.
Chemical Science (2024) Vol. 15, Iss. 10, pp. 3640-3660
Open Access | Times Cited: 6
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: 6
Toward Next-Generation Heterogeneous Catalysts: Empowering Surface Reactivity Prediction with Machine Learning
Xinyan Liu, Hong‐Jie Peng
Engineering (2024) Vol. 39, pp. 25-44
Open Access | Times Cited: 5
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 5
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
Connecting the Complexity of Stereoselective Synthesis to the Evolution of Predictive Tools
Jiajing Li, Jolene P. Reid
Chemical Science (2025)
Open Access
Dedenser: A Python Package for Clustering and Downsampling Chemical Libraries
Armen G. Beck, Jonathan Fine, Yu‐hong Lam, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Artificial Intelligence in Retrosynthesis Prediction and its Applications in Medicinal Chemistry
Lanxin Long, Rui Li, Jian Zhang
Journal of Medicinal Chemistry (2025)
Closed Access
Artificial Intelligence Enabled Biomineralization for Eco‐Friendly Nanomaterial Synthesis: Charting Future Trends
Vaisali Chandrasekar, Anu Jayanthi Panicker, Ajay Vikram Singh, et al.
Nano Select (2025)
Open Access
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
Enantioselective C–H annulations enabled by either nickel- or cobalt-electrocatalysed C–H activation for catalyst-controlled chemodivergence
Tristan von Münchow, Neeraj Kumar Pandit, Suman Dana, et al.
Nature Catalysis (2025)
Open Access
Integrating a multitask graph neural network with DFT calculations for site-selectivity prediction of arenes and mechanistic knowledge generation
Xinran Chen, Zijing Zhang, Xin Hong, et al.
Nature Synthesis (2025)
Open Access
Machine learning models and performance dependency on 2D chemical descriptor space for retention time prediction of pharmaceuticals
Armen G. Beck, Jonathan Fine, Pankaj Aggarwal, et al.
Journal of Chromatography A (2024) Vol. 1730, pp. 465109-465109
Closed Access | Times Cited: 4
ROBERT: Bridging the Gap Between Machine Learning and Chemistry
David Dalmau, Juan V. Alegre‐Requena
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 5
Open Access | Times Cited: 4
Machine learning workflows beyond linear models in low-data regimes
David Dalmau, Matthew S. Sigman, Juan V. Alegre‐Requena
Chemical Science (2025)
Open Access
Meso‐substituted Metalloporphyrin‐based Composites for Electrocatalytic Oxygen Reduction Reactions
Rui Yuan, Stennard Leetroy George, Jun Chen, et al.
ChemNanoMat (2023) Vol. 9, Iss. 6
Open Access | Times Cited: 9
Page 1 - Next Page

Scroll to top