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:

Predictive chemistry: machine learning for reaction deployment, reaction development, and reaction discovery
Zhengkai Tu, Thijs Stuyver, Connor W. Coley
Chemical Science (2022) Vol. 14, Iss. 2, pp. 226-244
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

In Pursuit of the Exceptional: Research Directions for Machine Learning in Chemical and Materials Science
Joshua Schrier, Alexander J. Norquist, Tonio Buonassisi, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 40, pp. 21699-21716
Open Access | Times Cited: 39
Dataset Design for Building Models of Chemical Reactivity
Priyanka Raghavan, Brittany C. Haas, Madeline E. Ruos, et al.
ACS Central Science (2023) Vol. 9, Iss. 12, pp. 2196-2204
Open Access | Times Cited: 31
Open-Source Machine Learning in Computational Chemistry
Alexander Hagg, Karl N. Kirschner
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 15, pp. 4505-4532
Open Access | Times Cited: 23
Re-evaluating Retrosynthesis Algorithms with Syntheseus
Krzysztof Maziarz, Austin Tripp, Guoqing Liu, et al.
Faraday Discussions (2024)
Closed Access | Times Cited: 8
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview
André Nicolle, Sili Deng, Matthias Ihme, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 3, pp. 597-620
Closed Access | Times Cited: 6
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
Accelerated end-to-end chemical synthesis development with large language models
Yixiang Ruan, Chenyin Lu, Ning Xu, et al.
(2024)
Open Access | Times Cited: 6
Accelerating the Development of Sustainable Catalytic Processes through Data Science
Jason M. Stevens, Jacob M. Ganley, Matthew J. Goldfogel, et al.
Organic Process Research & Development (2025)
Closed Access
Data Checking of Asymmetric Catalysis Literature Using a Graph Neural Network Approach
Eduardo Alberto Aguilar Bejarano, Viraj Deorukhkar, Simon Woodward
Molecules (2025) Vol. 30, Iss. 2, pp. 355-355
Open Access
Data Science-Driven Discovery of Optimal Conditions and a Condition-Selection Model for the Chan–Lam Coupling of Primary Sulfonamides
Shivaani S. Gandhi, Gregory Brown, Santeri Aikonen, et al.
ACS Catalysis (2025), pp. 2292-2304
Closed 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: 19
Machine Learning-Guided Development of Trialkylphosphine Ni(I) Dimers and Applications in Site-Selective Catalysis
Teresa M. Karl, Samir Bouayad‐Gervais, Julian A. Hueffel, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 28, pp. 15414-15424
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: 16
Predictive catalysis: a valuable step towards machine learning
Roger Monreal‐Corona, Anna Pla‐Quintana, Albert Poater
Trends in Chemistry (2023) Vol. 5, Iss. 12, pp. 935-946
Closed Access | Times Cited: 16
Smart Dope: A Self‐Driving Fluidic Lab for Accelerated Development of Doped Perovskite Quantum Dots
Fazel Bateni, Sina Sadeghi, Negin Orouji, et al.
Advanced Energy Materials (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules
Zikai Xie, Xenophon Evangelopoulos, Ömer H. Omar, et al.
Chemical Science (2023) Vol. 15, Iss. 2, pp. 500-510
Open Access | Times Cited: 14
When Yield Prediction Does Not Yield Prediction: An Overview of the Current Challenges
Varvara Voinarovska, Mikhail A. Kabeshov, Dmytro Dudenko, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 42-56
Closed Access | Times Cited: 14
OpenChemIE: An Information Extraction Toolkit for Chemistry Literature
Vincent Fan, Yujie Qian, Alex Wang, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 14, pp. 5521-5534
Open Access | Times Cited: 3
Assessment of Fine-Tuned Large Language Models for Real-World Chemistry and Material Science Applications
Joren Van Herck, M.V. Gil, Kevin Maik Jablonka, et al.
Chemical Science (2024)
Open Access | Times Cited: 3
Autonomous nanomanufacturing of lead-free metal halide perovskite nanocrystals using a self-driving fluidic lab
Sina Sadeghi, Fazel Bateni, Taekhoon Kim, et al.
Nanoscale (2023) Vol. 16, Iss. 2, pp. 580-591
Closed Access | Times Cited: 9
QMugs 1.1: Quantum mechanical properties of organic compounds commonly encountered in reactivity datasets
Rebecca M. Neeser, Clemens Isert, Thijs Stuyver, et al.
Chemical Data Collections (2023) Vol. 46, pp. 101040-101040
Closed Access | Times Cited: 8
LinChemIn: Route Arithmetic─Operations on Digital Synthetic Routes
Marta Pasquini, Marco Stenta
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 6, pp. 1765-1771
Closed Access | Times Cited: 2
Benchmarking Strategies of Sustainable Process Chemistry Development: Human-Based, Machine Learning, and Quantum Mechanics
A. Filipa Almeida, Sofia Branco, Luísa C. R. Carvalho, et al.
Organic Process Research & Development (2024) Vol. 28, Iss. 7, pp. 2885-2895
Closed Access | Times Cited: 2
Enabling high throughput deep reinforcement learning with first principles to investigate catalytic reaction mechanisms
Tian Lan, Huan Wang, Qi An
Nature Communications (2024) Vol. 15, Iss. 1
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
Page 1 - Next Page

Scroll to top