
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:
Machine Learning Predicts Conversion and Molecular Weight Distributions in Computer Controlled Polymerization
Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, et al.
(2022)
Open Access | Times Cited: 16
Jin Da Tan, Balamurugan Ramalingam, Swee Liang Wong, et al.
(2022)
Open Access | Times Cited: 16
Showing 16 citing articles:
Polymer reaction engineering meets explainable machine learning
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108356-108356
Closed Access | Times Cited: 14
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108356-108356
Closed Access | Times Cited: 14
Data-Driven Prediction of Janus/Core–Shell Morphology in Polymer Particles: A Machine-Learning Approach
Bahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, et al.
Langmuir (2023) Vol. 39, Iss. 14, pp. 4943-4958
Closed Access | Times Cited: 11
Bahareh Esteki, Mahmood Masoomi, Mohammad Moosazadeh, et al.
Langmuir (2023) Vol. 39, Iss. 14, pp. 4943-4958
Closed Access | Times Cited: 11
AI-Based Forecasting of Polymer Properties for High-Temperature Butyl Acrylate Polymerizations
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
ACS Polymers Au (2024) Vol. 4, Iss. 5, pp. 438-448
Open Access | Times Cited: 4
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
ACS Polymers Au (2024) Vol. 4, Iss. 5, pp. 438-448
Open Access | Times Cited: 4
Machine learning supported evolutionary optimization for multi-objective reverse engineering of radical polymerizations
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
Computers & Chemical Engineering (2025), pp. 109125-109125
Open Access
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
Computers & Chemical Engineering (2025), pp. 109125-109125
Open Access
Extrapolation performance improvement by quantum chemical calculations for machine-learning-based predictions of flow-synthesized binary copolymers
Shogo Takasuka, Shunto Oikawa, Takayoshi Yoshimura, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 809-818
Open Access | Times Cited: 7
Shogo Takasuka, Shunto Oikawa, Takayoshi Yoshimura, et al.
Digital Discovery (2023) Vol. 2, Iss. 3, pp. 809-818
Open Access | Times Cited: 7
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 2
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 2
Surrogate-model-based optimization of a nonideal polymerization reactor for producing tailored molecular weight distribution
Sunkyu Shin, Won Bo Lee, Myung‐June Park
Chemical Engineering Journal (2024) Vol. 491, pp. 152008-152008
Closed Access | Times Cited: 2
Sunkyu Shin, Won Bo Lee, Myung‐June Park
Chemical Engineering Journal (2024) Vol. 491, pp. 152008-152008
Closed Access | Times Cited: 2
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 1
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
(2024)
Open Access | Times Cited: 1
Reverse engineering of vinyl acetate polymerizations by genetic algorithm-based multi-objective optimization
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
(2024)
Open Access | Times Cited: 1
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
(2024)
Open Access | Times Cited: 1
Perspectives on Polyolefin Catalysis in Microfluidics for High-Throughput Screening: A Minireview
Mrityunjay K. Sharma, Ryan L. Hartman
Energy & Fuels (2022) Vol. 37, Iss. 1, pp. 1-18
Closed Access | Times Cited: 4
Mrityunjay K. Sharma, Ryan L. Hartman
Energy & Fuels (2022) Vol. 37, Iss. 1, pp. 1-18
Closed Access | Times Cited: 4
Bayesian optimization of radical polymerization reactions in a flow synthesis system
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
Science and Technology of Advanced Materials Methods (2024) Vol. 4, Iss. 1
Open Access
Shogo Takasuka, Shô Itô, Shunto Oikawa, et al.
Science and Technology of Advanced Materials Methods (2024) Vol. 4, Iss. 1
Open Access
Polymer Reaction Engineering meets Explainable Machine Learning
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
(2023)
Open Access | Times Cited: 1
Jeļena Fiošina, Philipp Sievers, Marco Drache, et al.
(2023)
Open Access | Times Cited: 1
Rheological Method for Determining the Molecular Weight of Collagen Gels by Using a Machine Learning Technique
Karina Núñez, Cristian Velasco-Merino, María Asensio, et al.
Polymers (2022) Vol. 14, Iss. 17, pp. 3683-3683
Open Access | Times Cited: 2
Karina Núñez, Cristian Velasco-Merino, María Asensio, et al.
Polymers (2022) Vol. 14, Iss. 17, pp. 3683-3683
Open Access | Times Cited: 2
An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration Platforms
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
(2022)
Open Access
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
(2022)
Open Access
An Object-Oriented Framework to Enable Workflow Evolution Across Materials Acceleration Platforms
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
SSRN Electronic Journal (2022)
Open Access
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
SSRN Electronic Journal (2022)
Open Access
An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration Platforms
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
(2022)
Open Access
Chang Jie Leong, Kai Yuan Andre Low, Jose Recatala-Gomez, et al.
(2022)
Open Access