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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:

Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells
André Colliard-Granero, Mariah Batool, Jasna Janković, et al.
Nanoscale (2021) Vol. 14, Iss. 1, pp. 10-18
Open Access | Times Cited: 18

Showing 18 citing articles:

Electron Microscopy Studies of Soft Nanomaterials
Zhiheng Lyu, Lehan Yao, Wenxiang Chen, et al.
Chemical Reviews (2023) Vol. 123, Iss. 7, pp. 4051-4145
Closed Access | Times Cited: 45
Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers
Mariah Batool, Oluwafemi Joseph Sanumi, Jasna Janković
Energy and AI (2024) Vol. 18, pp. 100424-100424
Open Access | Times Cited: 10
A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis
Faisal Al-Akayleh, Ahmed S.A. Ali Agha, Rami A. Abdel Rahem, et al.
Tenside Surfactants Detergents (2024) Vol. 61, Iss. 4, pp. 285-296
Closed Access | Times Cited: 7
Recent progress of biosensors for the detection of lung cancer markers
Shanchuan Chen, Minghan Li, Ting Weng, et al.
Journal of Materials Chemistry B (2023) Vol. 11, Iss. 25, pp. 5715-5747
Closed Access | Times Cited: 17
Artificial intelligence and deep learning in electron microscopy
Kevin P. Treder, Chen Huang, Judy S. Kim, et al.
Advances in imaging and electron physics (2025)
Closed Access
Incorporative mixing in microreactors: Influence on reactions and importance of inlet designation
Shusaku Asano, Taisuke Maki, Shogo Inoue, et al.
Chemical Engineering Journal (2022) Vol. 451, pp. 138942-138942
Open Access | Times Cited: 19
Deep learning-enhanced characterization of bubble dynamics in proton exchange membrane water electrolyzers
André Colliard-Granero, Keusra Armel Gompou, Christian Rodenbücher, et al.
Physical Chemistry Chemical Physics (2024) Vol. 26, Iss. 20, pp. 14529-14537
Open Access | Times Cited: 3
Machine learning-facilitated multiscale imaging for energy materials
Guoxu Zhang, Yajie Song, Wei Zhao, et al.
Cell Reports Physical Science (2022) Vol. 3, Iss. 9, pp. 101008-101008
Open Access | Times Cited: 15
nNPipe: a neural network pipeline for automated analysis of morphologically diverse catalyst systems
Kevin P. Treder, Chen Huang, Cameron G. Bell, et al.
npj Computational Materials (2023) Vol. 9, Iss. 1
Open Access | Times Cited: 8
Minireview on Porous Media and Microstructure Reconstruction Using Machine Learning Techniques: Recent Advances and Outlook
Hossein Mirzaee, Serveh Kamrava, Pejman Tahmasebi
Energy & Fuels (2023) Vol. 37, Iss. 20, pp. 15348-15372
Closed Access | Times Cited: 7
Deep learning morphological distribution analysis of metal alloy catalysts in proton exchange membrane fuel cells
Sang‐Hyeok Yang, Eun-Byeol Park, Sung Yong Cho, et al.
Materials Today Energy (2023) Vol. 36, pp. 101348-101348
Closed Access | Times Cited: 6
Current trends on the use of deep learning methods for image analysis in energy applications
Mattia Casini, Paolo De Angelis, Eliodoro Chiavazzo, et al.
Energy and AI (2023) Vol. 15, pp. 100330-100330
Open Access | Times Cited: 6
Flow Characteristics of Fibrous Gas Diffusion Layers Using Machine Learning Methods
Dieter Froning, Jannik Wirtz, Eugen Hoppe, et al.
Applied Sciences (2022) Vol. 12, Iss. 23, pp. 12193-12193
Open Access | Times Cited: 5
UTILE-Gen: Automated Image Analysis in Nanoscience Using Synthetic Dataset Generator and Deep Learning
André Colliard-Granero, Jenia Jitsev, Michael Eikerling, et al.
ACS Nanoscience Au (2023) Vol. 3, Iss. 5, pp. 398-407
Open Access | Times Cited: 2
Effect of Nitrogen Defects on Pt Nanoparticle Dispersion and Stability Studied by Electron Microscopy Paired with Machine Learning Image Processing for Probing Catalyst–Support Interactions
Margaret A. Fitzgerald, Hanson Wang, Alvin Ly, et al.
ACS Applied Nano Materials (2023) Vol. 6, Iss. 7, pp. 5313-5324
Closed Access | Times Cited: 1
Evaluation of Semi-Automatic Compositional and Microstructural Analysis of Energy Dispersive Spectroscopy (EDS) Maps via a Python-Based Image and Data Processing Framework for Fuel Cell Applications
Mariah Batool, Andres O. Godoy, Martin Birnbach, et al.
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 5, pp. 054511-054511
Closed Access
Incorporative Mixing in Microreactors: Influence on Reactions and Importance of Inlet Designation
Shusaku Asano, Taisuke Maki, Shogo Inoue, et al.
SSRN Electronic Journal (2022)
Closed Access
A Data‐Driven framework for prediction the cyclic voltammetry and polarization curves of polymer electrolyte fuel cells using artificial neural networks
Nahid Gholami, Elham Yasari, Nafiseh Farhadian, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 20916-20927
Open Access
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