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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:

Predicting reaction conditions from limited data through active transfer learning
Eunjae Shim, Joshua Kammeraad, Ziping Xu, et al.
Chemical Science (2022) Vol. 13, Iss. 22, pp. 6655-6668
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

A field guide to flow chemistry for synthetic organic chemists
Luca Capaldo, Zhenghui Wen, Timothy Noël
Chemical Science (2023) Vol. 14, Iss. 16, pp. 4230-4247
Open Access | Times Cited: 174
Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab
Martin Seifrid, Robert Pollice, Andrés Aguilar-Gránda, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 17, pp. 2454-2466
Open Access | Times Cited: 136
A machine-learning tool to predict substrate-adaptive conditions for Pd-catalyzed C–N couplings
N. Ian Rinehart, Rakesh K. Saunthwal, Joël Wellauer, et al.
Science (2023) Vol. 381, Iss. 6661, pp. 965-972
Closed Access | Times Cited: 38
Identifying general reaction conditions by bandit optimization
Jason Y. Wang, Jason M. Stevens, Stavros K. Kariofillis, et al.
Nature (2024) Vol. 626, Iss. 8001, pp. 1025-1033
Open Access | Times Cited: 13
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: 28
Data Sharing in Chemistry: Lessons Learned and a Case for Mandating Structured Reaction Data
Rocío Mercado, Steven Kearnes, Connor W. Coley
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 14, pp. 4253-4265
Open Access | Times Cited: 21
Impact of modeling and simulation on pharmaceutical process development
Junu Kim, Kozue Okamura, Mohamed Rami Gaddem, et al.
Current Opinion in Chemical Engineering (2025) Vol. 47, pp. 101093-101093
Open Access
Recommending reaction conditions with label ranking
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
Chemical Science (2025)
Open Access
Designing Chemical Reaction Arrays Using Phactor and ChatGPT
Babak Mahjour, Jillian Hoffstadt, Tim Cernak
Organic Process Research & Development (2023) Vol. 27, Iss. 8, pp. 1510-1516
Closed Access | Times Cited: 18
Miniaturization of popular reactions from the medicinal chemists’ toolbox for ultrahigh-throughput experimentation
Nathan J. Gesmundo, Kevin D. Dykstra, James L. Douthwaite, et al.
Nature Synthesis (2023) Vol. 2, Iss. 11, pp. 1082-1091
Closed Access | Times Cited: 17
Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit
Eunjae Shim, Ambuj Tewari, Tim Cernak, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 12, pp. 3659-3668
Open Access | Times Cited: 15
Machine Learning Modeling of Environmentally Relevant Chemical Reactions for Organic Compounds
Kai Zhang, Huichun Zhang
ACS ES&T Water (2022) Vol. 4, Iss. 3, pp. 773-783
Closed Access | Times Cited: 23
Roadmap to Pharmaceutically Relevant Reactivity Models Leveraging High-Throughput Experimentation
Jessica Xu, Dipannita Kalyani, Thomas J. Struble, et al.
(2022)
Open Access | Times Cited: 18
Putting Chemical Knowledge to Work in Machine Learning for Reactivity
Kjell Jorner
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 1/2, pp. 22-22
Open Access | Times Cited: 10
Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead!
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, et al.
Engineering (2023) Vol. 27, pp. 23-30
Open Access | Times Cited: 9
Benchmark of general-purpose machine learning-based quantum mechanical method AIQM1 on reaction barrier heights
Yuxinxin Chen, Yanchi Ou, Peikun Zheng, et al.
The Journal of Chemical Physics (2023) Vol. 158, Iss. 7
Closed Access | Times Cited: 8
A robust data analytical method to investigate sequence dependence in flow-based peptide synthesis
Bálint Tamás, P. Willi, H Burgisser, et al.
Reaction Chemistry & Engineering (2024) Vol. 9, Iss. 4, pp. 825-832
Open Access | Times Cited: 2
Data Science-Centric Design, Discovery, and Evaluation of Novel Synthetically Accessible Polyimides with Desired Dielectric Constant
Mengxian Yu, Qingzhu Jia, Qiang Wang, et al.
Chemical Science (2024)
Open Access | Times Cited: 2
Generic Interpretable Reaction Condition Predictions with Open Reaction Condition Datasets and Unsupervised Learning of Reaction Center
Xiaorui Wang, Chang‐Yu Hsieh, Xiaodan Yin, et al.
Research (2023) Vol. 6
Open Access | Times Cited: 6
Predicting the ET(30) parameter of organic solvents via machine learning
Vaneet Saini, Harsh Vardhan Singh
Chemical Physics Letters (2023) Vol. 826, pp. 140672-140672
Closed Access | Times Cited: 5
Substrate specific closed-loop optimization of carbohydrate protective group chemistry using Bayesian optimization and transfer learning
Natasha Videcrantz Faurschou, Rolf H. Taaning, Christian Pedersen
Chemical Science (2023) Vol. 14, Iss. 23, pp. 6319-6329
Open Access | Times Cited: 4
Machine learning approach for predicting the yield of pyrroles and dipyrromethanes condensation reactions with aldehydes
Dmitriy M. Makarov, Michail M. Lukanov, A. I. Rusanov, et al.
Journal of Computational Science (2023) Vol. 74, pp. 102173-102173
Closed Access | Times Cited: 4
Designing Chemical Reaction Arrays using phactor and ChatGPT
Babak Mahjour, Jillian Hoffstadt, Tim Cernak
(2023)
Open Access | Times Cited: 4
Reaction Space Charting as a Tool in Organic Chemistry Research and Development
Eloy Lozano Baró, Pau Nadal Rodríguez, Jordi Juárez‐Jiménez, et al.
Advanced Synthesis & Catalysis (2024) Vol. 366, Iss. 4, pp. 551-573
Open Access
The Role of Base in Reaction Performance of Photochemical Synthesis of Thiazoles: An Integrated Theoretical and Experimental Study
Jiaxin Xu, Xiaoyu Ye, Zongchao Lv, et al.
Chemistry - A European Journal (2024) Vol. 30, Iss. 26
Closed Access
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