Open Access Helper

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:

Designing workflows for materials characterization
Sergei V. Kalinin, Maxim Ziatdinov, Mahshid Ahmadi, et al.
Applied Physics Reviews (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 11

Showing 11 citing articles:

AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation
Yongtao Liu, Kevin Roccapriore, Martí Checa, et al.
Small Methods (2024)
Open Access | Times Cited: 7
Applications of Long Short-Term Memory (LSTM) Networks in Polymeric Sciences: A Review
Ivan Malashin, В С Тынченко, Andrei Gantimurov, et al.
Polymers (2024) Vol. 16, Iss. 18, pp. 2607-2607
Open Access | Times Cited: 6
Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes
Alexey O. Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, et al.
Advanced Energy Materials (2025)
Open Access
Machine Learning to Adaptively Predict Gold Nanorod Sizes on Different Substrates
Katsuya Shiratori, Claire A. West, Zhenyang Jia, et al.
The Journal of Physical Chemistry C (2025)
Closed Access
Epitaxy of Emerging Materials and Advanced Heterostructures for Microelectronics and Quantum Sciences
Yeonjoo Lee, Soo Ho Choi, Hyunseok Kim, et al.
Small Methods (2025)
Open Access
Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design *
Yongtao Liu, Martí Checa, Rama K. Vasudevan
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 02LT01-02LT01
Open Access | Times Cited: 3
Explainability and human intervention in autonomous scanning probe microscopy
Yongtao Liu, Maxim Ziatdinov, Rama K. Vasudevan, et al.
Patterns (2023) Vol. 4, Iss. 11, pp. 100858-100858
Open Access | Times Cited: 8
Leveraging Flexible Pipette-based Tool Changes to Transform Liquid Handling Systems into Dual-Function Sample Preparation and Imaging Platforms
Mohammad Nazeri, Jeffrey Watchorn, Sheldon Mei, et al.
(2024)
Open Access | Times Cited: 1
Domain hyper-languages bring robots together and enable the machine learning community
Shakti P. Padhy, Sergei V. Kalinin
Device (2023) Vol. 1, Iss. 4, pp. 100115-100115
Open Access | Times Cited: 4
Integration of scanning probe microscope with high-performance computing: Fixed-policy and reward-driven workflows implementation
Yu Liu, Utkarsh Pratiush, Jason Bemis, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 9
Open Access | Times Cited: 1
Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning
Gayathri Saranathan, Martin Foltín, Aalap Tripathy, et al.
(2023), pp. 81-87
Closed Access | Times Cited: 2
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