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:
Accelerating colloidal quantum dot innovation with algorithms and automation
Neal Munyebvu, Esmé Lane, Enrico Grisan, et al.
Materials Advances (2022) Vol. 3, Iss. 18, pp. 6950-6967
Open Access | Times Cited: 12
Neal Munyebvu, Esmé Lane, Enrico Grisan, et al.
Materials Advances (2022) Vol. 3, Iss. 18, pp. 6950-6967
Open Access | Times Cited: 12
Showing 12 citing articles:
Exploring the multifunctional roles of quantum dots for unlocking the future of biology and medicine
Muhammad Kashif Ali, Saher Javaid, Haseeb Afzal, et al.
Environmental Research (2023) Vol. 232, pp. 116290-116290
Closed Access | Times Cited: 25
Muhammad Kashif Ali, Saher Javaid, Haseeb Afzal, et al.
Environmental Research (2023) Vol. 232, pp. 116290-116290
Closed Access | Times Cited: 25
Applications of machine learning in supercritical fluids research
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, et al.
The Journal of Supercritical Fluids (2023) Vol. 202, pp. 106051-106051
Open Access | Times Cited: 19
Lucien Roach, Gian‐Marco Rignanese, Arnaud Erriguible, et al.
The Journal of Supercritical Fluids (2023) Vol. 202, pp. 106051-106051
Open Access | Times Cited: 19
Expanding the Horizons of Machine Learning in Nanomaterials to Chiral Nanostructures
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 11
Vera Kuznetsova, Áine Coogan, Dmitry Botov, et al.
Advanced Materials (2024) Vol. 36, Iss. 18
Open Access | Times Cited: 11
Optical Properties Prediction for Red and Near‐Infrared Emitting Carbon Dots Using Machine Learning
Vladislav S. Tuchin, Evgeniia A. Stepanidenko, Anna A. Vedernikova, et al.
Small (2024) Vol. 20, Iss. 29
Closed Access | Times Cited: 8
Vladislav S. Tuchin, Evgeniia A. Stepanidenko, Anna A. Vedernikova, et al.
Small (2024) Vol. 20, Iss. 29
Closed Access | Times Cited: 8
Role of AI in experimental materials science
Milad Abolhasani, Keith A. Brown
MRS Bulletin (2023) Vol. 48, Iss. 2, pp. 134-141
Open Access | Times Cited: 15
Milad Abolhasani, Keith A. Brown
MRS Bulletin (2023) Vol. 48, Iss. 2, pp. 134-141
Open Access | Times Cited: 15
Automated synthesis and processing of functional nanomaterials: Advances and perspectives
Masoud Negahdary, Samuel Mabbott
Coordination Chemistry Reviews (2024) Vol. 523, pp. 216249-216249
Closed Access | Times Cited: 3
Masoud Negahdary, Samuel Mabbott
Coordination Chemistry Reviews (2024) Vol. 523, pp. 216249-216249
Closed Access | Times Cited: 3
Machine Learning for Carbon Dots Synthesis and Applications
Ali Nabi Duman, Almaz S. Jalilov
Materials Advances (2024) Vol. 5, Iss. 18, pp. 7097-7112
Open Access | Times Cited: 1
Ali Nabi Duman, Almaz S. Jalilov
Materials Advances (2024) Vol. 5, Iss. 18, pp. 7097-7112
Open Access | Times Cited: 1
Transforming Nanomaterial Synthesis with Flow Chemistry
Neal Munyebvu, Julia Nette, Stavros Stavrakis, et al.
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 5, pp. 312-312
Open Access | Times Cited: 3
Neal Munyebvu, Julia Nette, Stavros Stavrakis, et al.
CHIMIA International Journal for Chemistry (2023) Vol. 77, Iss. 5, pp. 312-312
Open Access | Times Cited: 3
Predicting PbS Colloidal Quantum Dot Solar Cell Parameters Using Neural Networks Trained on Experimental Data
Hoon Jeong Lee, Arlene Chiu, Yida Lin, et al.
Advanced Intelligent Systems (2024)
Open Access
Hoon Jeong Lee, Arlene Chiu, Yida Lin, et al.
Advanced Intelligent Systems (2024)
Open Access
Flow synthesis and multidimensional parameter screening enables exploration and optimization of copper oxide nanoparticle synthesis
Neal Munyebvu, Zarina Akhmetbayeva, Steve Dunn, et al.
Nanoscale Advances (2024)
Open Access
Neal Munyebvu, Zarina Akhmetbayeva, Steve Dunn, et al.
Nanoscale Advances (2024)
Open Access
Applications of Accelerating Genetic Algorithms in System Engineering
Shaochi Li, Naiqi Wu, Kaizhou Gao
(2023), pp. 1-6
Closed Access
Shaochi Li, Naiqi Wu, Kaizhou Gao
(2023), pp. 1-6
Closed Access
Machine learning predicted emission of water-stable CdTe quantum dots
André Felipe Vale da Fonseca, Cintia Ellen Giarola, Thaís Carvalho, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 18
Closed Access
André Felipe Vale da Fonseca, Cintia Ellen Giarola, Thaís Carvalho, et al.
The Journal of Chemical Physics (2023) Vol. 159, Iss. 18
Closed Access
