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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:

Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy
Yongtao Liu, Rama K. Vasudevan, Kyle P. Kelley, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 12

Showing 12 citing articles:

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
Active oversight and quality control in standard Bayesian optimization for autonomous experiments
Sumner B. Harris, Rama K. Vasudevan, Yongtao Liu
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Exploring the Relationship of Microstructure and Conductivity in Metal Halide Perovskites via Active Learning-Driven Automated Scanning Probe Microscopy
Yongtao Liu, Jonghee Yang, Rama K. Vasudevan, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 13, pp. 3352-3359
Open Access | Times Cited: 21
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
AI for dielectric capacitors
Run‐Lin Liu, Jian Wang, Zhonghui Shen, et al.
Energy storage materials (2024) Vol. 71, pp. 103612-103612
Closed Access | Times Cited: 4
Invariant discovery of features across multiple length scales: Applications in microscopy and autonomous materials characterization
Aditya Raghavan, Utkarsh Pratiush, Sai Mani Prudhvi Valleti, et al.
Journal of Applied Physics (2025) Vol. 137, Iss. 3
Open Access
Reinforcement Learning-Assisted Ferroelectric Domain Wall Design Using a Machine Learning Phase-Field Surrogate
Kévin Alhada−Lahbabi, Damien Deleruyelle, Brice Gautier
ACS Applied Electronic Materials (2025)
Closed 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
Deep kernel methods learn better: from cards to process optimization
Mani Valleti, Rama K. Vasudevan, Maxim Ziatdinov, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 1, pp. 015012-015012
Open Access | Times Cited: 2
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
Scanning probes as a materials automation platform with extremely miniaturized samples
Keith A. Brown
Matter (2022) Vol. 5, Iss. 10, pp. 3112-3123
Open Access | Times Cited: 6
Bridging Mechanical and Electrical Analyses in AFM: Advances, Techniques, and Applications
Soyun Joo, Uichang Jeong, Chaewon Gong, et al.
Accounts of Materials Research (2024)
Closed Access
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