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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:

Bayesian optimization for chemical products and functional materials
Ke Wang, Alexander W. Dowling
Current Opinion in Chemical Engineering (2021) Vol. 36, pp. 100728-100728
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Design and investigation of PV string/central architecture for bayesian fusion technique using grey wolf optimization and flower pollination optimized algorithm
S. Hemalatha, Johny Renoald A, G Banu, et al.
Energy Conversion and Management (2023) Vol. 286, pp. 117078-117078
Closed Access | Times Cited: 40
Accelerated exploration of heterogeneous CO2 hydrogenation catalysts by Bayesian-optimized high-throughput and automated experimentation
Adrián Ramírez, Erwin Lam, Daniel Pacheco Gutiérrez, et al.
Chem Catalysis (2024) Vol. 4, Iss. 2, pp. 100888-100888
Closed Access | Times Cited: 16
Machine learning-assisted multi-objective optimization of battery manufacturing from synthetic data generated by physics-based simulations
Marc Duquesnoy, Chaoyue Liu, Diana Zapata Dominguez, et al.
Energy storage materials (2022) Vol. 56, pp. 50-61
Open Access | Times Cited: 55
Machine learning-assisted ultrafast flash sintering of high-performance and flexible silver–selenide thermoelectric devices
Mortaza Saeidi‐Javash, Ke Wang, Minxiang Zeng, et al.
Energy & Environmental Science (2022) Vol. 15, Iss. 12, pp. 5093-5104
Open Access | Times Cited: 41
A crystallization case study toward optimization of expensive to evaluate mathematical models using Bayesian approach
Aswitha Tadepalli, Keerthi NagaSree Pujari, Kishalay Mitra
Materials and Manufacturing Processes (2023) Vol. 38, Iss. 16, pp. 2127-2134
Closed Access | Times Cited: 31
Advances in materials informatics: a review
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, et al.
Journal of Materials Science (2024) Vol. 59, Iss. 7, pp. 2602-2643
Closed Access | Times Cited: 11
Advanced Modeling and Optimization Strategies for Process Synthesis
Efstratios N. Pistikopoulos, Yuhe Tian
Annual Review of Chemical and Biomolecular Engineering (2024) Vol. 15, Iss. 1, pp. 81-103
Closed Access | Times Cited: 11
Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys
Sofia Sheikh, Brent Vela, Vahid Attari, et al.
Materials Research Letters (2024) Vol. 12, Iss. 4, pp. 235-263
Open Access | Times Cited: 10
The Future of Material Scientists in an Age of Artificial Intelligence
Ayman Maqsood, Chen Chen, T. Jesper Jacobsson
Advanced Science (2024) Vol. 11, Iss. 19
Open Access | Times Cited: 10
Prediction of Vehicle-induced Air Pollution based on Advanced Machine Learning Models
Caroline Mongina Matara, Simpson Nyambane Osano, Amir Yusuf, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12837-12843
Open Access | Times Cited: 8
Design optimization of solar collectors with hybrid nanofluids: An integrated ansys and machine learning study
Omer A. Alawi, Haslinda Mohamed Kamar, Ali H. Abdelrazek, et al.
Solar Energy Materials and Solar Cells (2024) Vol. 271, pp. 112822-112822
Closed Access | Times Cited: 7
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
Jose Pablo Folch, Robert M. Lee, Behrang Shafei, et al.
Computers & Chemical Engineering (2023) Vol. 172, pp. 108194-108194
Open Access | Times Cited: 19
The role of machine learning in perovskite solar cell research
Chen Chen, Ayman Maqsood, T. Jesper Jacobsson
Journal of Alloys and Compounds (2023) Vol. 960, pp. 170824-170824
Closed Access | Times Cited: 18
Rapid design of top-performing metal-organic frameworks with qualitative representations of building blocks
Yigitcan Comlek, Thang Duc Pham, Randall Q. Snurr, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 16
Machine learning-assisted 3D printing of thermoelectric materials of ultrahigh performances at room temperature
Kaidong Song, Guoyue Xu, A. N. M. Tanvir, et al.
Journal of Materials Chemistry A (2024) Vol. 12, Iss. 32, pp. 21243-21251
Open Access | Times Cited: 7
Computer-aided chemical engineering research advances in precision fermentation
Tom Vinestock, Michael Short, Keeran Ward, et al.
Current Opinion in Food Science (2024) Vol. 58, pp. 101196-101196
Open Access | Times Cited: 6
Accelerating the design of lattice structures using machine learning
Aldair E. Gongora, Caleb Friedman, Deirdre K. Newton, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Bayesian Optimization as a Flexible and Efficient Design Framework for Sustainable Process Systems
Joel A. Paulson, Calvin Tsay
Current Opinion in Green and Sustainable Chemistry (2024), pp. 100983-100983
Open Access | Times Cited: 5
Role of the human-in-the-loop in emerging self-driving laboratories for heterogeneous catalysis
Christoph Scheurer, Karsten Reuter
Nature Catalysis (2025) Vol. 8, Iss. 1, pp. 13-19
Closed Access
Topical drug formulation for enhanced permeation: A comparison of Bayesian optimisation and response surface methodology with an ibuprofen-loaded poloxamer 407-based formulations case study
Yongrui Xiao, Jela Milić, Anđela Tošić, et al.
International Journal of Pharmaceutics (2025) Vol. 672, pp. 125306-125306
Closed Access
Membrane Science Meets Machine Learning: Future and Potential Use in Assisting Membrane Material Design and Fabrication
Musabbir Jahan Talukder, Ali Alshami, Arash Tayyebi, et al.
Separation and Purification Reviews (2023) Vol. 53, Iss. 2, pp. 216-229
Closed Access | Times Cited: 15
Hybrid Data‐Driven Discovery of High‐Performance Silver Selenide‐Based Thermoelectric Composites
Wenjie Shang, Minxiang Zeng, A. N. M. Tanvir, et al.
Advanced Materials (2023) Vol. 35, Iss. 47
Open Access | Times Cited: 15
Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
Nickolas Gantzler, Aryan Deshwal, Janardhan Rao Doppa, et al.
Digital Discovery (2023) Vol. 2, Iss. 6, pp. 1937-1956
Open Access | Times Cited: 13
Multi‐objective optimization and its application in materials science
Bofeng Shi, Turab Lookman, Dezhen Xue
Materials Genome Engineering Advances (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 13
High-performance thermoelectric composites via scalable and low-cost ink processing
A. N. M. Tanvir, Md Omarsany Bappy, Minxiang Zeng, et al.
Energy & Environmental Science (2024) Vol. 17, Iss. 13, pp. 4560-4568
Open Access | Times Cited: 4
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