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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:

Semi-supervised machine learning workflow for analysis of nanowire morphologies from transmission electron microscopy images
Shizhao Lu, Brian Montz, Todd Emrick, et al.
Digital Discovery (2022) Vol. 1, Iss. 6, pp. 816-833
Open Access | Times Cited: 13

Showing 13 citing articles:

Machine learning for analyses and automation of structural characterization of polymer materials
Shizhao Lu, Arthi Jayaraman
Progress in Polymer Science (2024) Vol. 153, pp. 101828-101828
Closed Access | Times Cited: 6
Deep generative modeling of annotated bacterial biofilm images
Angelina A. Holicheva, Konstantin S. Kozlov, Daniil A. Boiko, et al.
npj Biofilms and Microbiomes (2025) Vol. 11, Iss. 1
Open Access
Comparative of machine learning classification strategies for electron energy loss spectroscopy: Support vector machines and artificial neural networks
Daniel del-Pozo-Bueno, Demie Kepaptsoglou, F. Peiró, et al.
Ultramicroscopy (2023) Vol. 253, pp. 113828-113828
Open Access | Times Cited: 16
Pair-Variational Autoencoders for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques
Shizhao Lu, Arthi Jayaraman
JACS Au (2023) Vol. 3, Iss. 9, pp. 2510-2521
Open Access | Times Cited: 8
Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy
Konstantin S. Kozlov, Daniil A. Boiko, Elena V. Detusheva, et al.
Digital Discovery (2023) Vol. 2, Iss. 5, pp. 1522-1539
Open Access | Times Cited: 5
Imaging and structure analysis of ferroelectric domains, domain walls, and vortices by scanning electron diffraction
Ursula Ludacka, Jiali He, Shuyu Qin, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 1
Semi-Supervised Ensemble Learning for Medical Image Segmentation with Transfer Learning
M. N. Nachappa, Rakesh Kumar Yadav, Manish Srivastava, et al.
Lecture notes in electrical engineering (2024), pp. 851-857
Closed Access
Intelligent Nanomaterial Image Characterizations – A Comprehensive Review on AI Techniques that Power the Present and Drive the Future of Nanoscience
Umapathi Krishnamoorthy, Sukanya Balasubramani
Advanced Theory and Simulations (2024)
Closed Access
Reverse AFM Height Map Search: Content-Based Topography Retrieval via Self-Supervised Deep Learning
Marcus Schwarting, Matthew J. L. Mills, Mahsa Lotfollahi, et al.
Integrating materials and manufacturing innovation (2024)
Closed Access
Unraveling nanosprings: morphology control and mechanical characterization
Dahai Yang, Rui Huang, Bolin Zou, et al.
Materials Horizons (2024) Vol. 11, Iss. 15, pp. 3500-3527
Closed Access
Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends
Aanish Paruchuri, Yunfei Wang, Xiaodan Gu, et al.
Digital Discovery (2024) Vol. 3, Iss. 12, pp. 2533-2550
Open Access
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
Combining variational autoencoders and physical bias for improved microscopy data analysis ∗
Arpan Biswas, Maxim Ziatdinov, Sergei V. Kalinin
Machine Learning Science and Technology (2023) Vol. 4, Iss. 4, pp. 045004-045004
Open Access | Times Cited: 1
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