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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:

Enabling autonomous scanning probe microscopy imaging of single molecules with deep learning
Javier Sotres, Hannah Boyd, Juan F. González-Martínez
Nanoscale (2021) Vol. 13, Iss. 20, pp. 9193-9203
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Experimental discovery of structure–property relationships in ferroelectric materials via active learning
Yongtao Liu, Kyle P. Kelley, Rama K. Vasudevan, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 4, pp. 341-350
Closed Access | Times Cited: 74
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: 24
Advancing High-Throughput Cellular Atomic Force Microscopy with Automation and Artificial Intelligence
Ophélie Thomas- -Chemin, Sébastien Janel, Zeyd Boumehdi, et al.
ACS Nano (2025)
Closed Access | Times Cited: 2
Bayesian Active Learning for Scanning Probe Microscopy: From Gaussian Processes to Hypothesis Learning
Maxim Ziatdinov, Yongtao Liu, Kyle P. Kelley, et al.
ACS Nano (2022) Vol. 16, Iss. 9, pp. 13492-13512
Open Access | Times Cited: 53
Physics Discovery in Nanoplasmonic Systems via Autonomous Experiments in Scanning Transmission Electron Microscopy
Kevin Roccapriore, Sergei V. Kalinin, Maxim Ziatdinov
Advanced Science (2022) Vol. 9, Iss. 36
Open Access | Times Cited: 42
Applied Artificial Intelligence in Materials Science and Material Design
Emigdio Chávez‐Ángel, Martin Eriksen, Alejandro Castro‐Álvarez, et al.
Advanced Intelligent Systems (2025)
Open Access | Times Cited: 1
Electrochemical Imaging of Interfaces in Energy Storage via Scanning Probe Methods: Techniques, Applications, and Prospects
Abhiroop Mishra, Dipobrato Sarbapalli, Oliver Rodríguez, et al.
Annual Review of Analytical Chemistry (2023) Vol. 16, Iss. 1, pp. 93-115
Open Access | Times Cited: 18
Application of self-organizing maps to AFM-based viscoelastic characterization of breast cancer cell mechanics
Andreas Weber, María dM Vivanco, José L. Toca‐Herrera
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 17
Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy
Abhilash Chandrashekar, Pierpaolo Belardinelli, Miguel A. Bessa, et al.
Nanoscale Advances (2022) Vol. 4, Iss. 9, pp. 2134-2143
Open Access | Times Cited: 24
Scanning electrochemical probe microscopy investigation of two-dimensional materials
Pelumi Adanigbo, Jorge Romo-Jimenez, Kaidi Zhang, et al.
2D Materials (2024) Vol. 11, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 5
Machine learning approaches for improving atomic force microscopy instrumentation and data analytics
Nabila Masud, Jaydeep Rade, Md. Hasibul Hasan Hasib, et al.
Frontiers in Physics (2024) Vol. 12
Open Access | Times Cited: 5
Autonomous scanning probe microscopy investigations over WS2 and Au{111}
John C. Thomas, Antonio Rossi, Darian Smalley, et al.
npj Computational Materials (2022) Vol. 8, Iss. 1
Open Access | Times Cited: 20
Scanning probe microscopy in the age of machine learning
Md Ashiqur Rahman Laskar, Umberto Celano
APL Machine Learning (2023) Vol. 1, Iss. 4
Open Access | Times Cited: 13
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
Automated tip functionalization via machine learning in scanning probe microscopy
Benjamin Alldritt, Fedor Urtev, Niko Oinonen, et al.
Computer Physics Communications (2021) Vol. 273, pp. 108258-108258
Open Access | Times Cited: 26
Unraveling the impact of initial choices and in-loop interventions on learning dynamics in autonomous scanning probe microscopy
Boris N. Slautin, Yongtao Liu, Hiroshi Funakubo, et al.
Journal of Applied Physics (2024) Vol. 135, Iss. 15
Open Access | Times Cited: 3
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
AI-based atomic force microscopy image analysis allows to predict electrochemical impedance spectra of defects in tethered bilayer membranes
Tomas Raila, Tadas Penkauskas, Filipas Ambrulevičius, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 13
Machine learning-aided atomic structure identification of interfacial ionic hydrates from AFM images
Binze Tang, Yizhi Song, Mian Qin, et al.
National Science Review (2022) Vol. 10, Iss. 7
Open Access | Times Cited: 12
How scanning probe microscopy can be supported by artificial intelligence and quantum computing?
Agnieszka Pręgowska, Agata Roszkiewicz, Magdalena Osial, et al.
Microscopy Research and Technique (2024)
Open Access | Times Cited: 2
DNA Origami Nanostructure Detection and Yield Estimation Using Deep Learning
Congzhou Chen, Jinyan Nie, Mingyuan Ma, et al.
ACS Synthetic Biology (2023) Vol. 12, Iss. 2, pp. 524-532
Closed Access | Times Cited: 5
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
Perspectives Toward an Integrative Structural Biology Pipeline With Atomic Force Microscopy Topographic Images
Jean‐Luc Pellequer
Journal of Molecular Recognition (2024) Vol. 37, Iss. 6
Open Access | Times Cited: 1
Scientific Exploration with Expert Knowledge (SEEK) in Autonomous Scanning Probe Microscopy with Active Learning
Utkarsh Pratiush, Hiroshi Funakubo, Rama K. Vasudevan, et al.
Digital Discovery (2024)
Open Access | Times Cited: 1
Locating critical events in AFM force measurements by means of one-dimensional convolutional neural networks
Javier Sotres, Hannah Boyd, Juan F. González-Martínez
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 5
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