Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

2022 Review of Data-Driven Plasma Science
Rushil Anirudh, Richard Archibald, M. Salman Asif, et al.
IEEE Transactions on Plasma Science (2023) Vol. 51, Iss. 7, pp. 1750-1838
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Future of plasma etching for microelectronics: Challenges and opportunities
G. S. Oehrlein, Stephan M. Brandstadter, Robert L. Bruce, et al.
Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena (2024) Vol. 42, Iss. 4
Open Access | Times Cited: 20
Foundations of machine learning for low-temperature plasmas: methods and case studies
Angelo D. Bonzanini, Ketong Shao, David B. Graves, et al.
Plasma Sources Science and Technology (2023) Vol. 32, Iss. 2, pp. 024003-024003
Closed Access | Times Cited: 25
Condensed Matter Systems Exposed to Radiation: Multiscale Theory, Simulations, and Experiment
Andrey V. Solov’yov, Alexey V. Verkhovtsev, N. J. Mason, et al.
Chemical Reviews (2024) Vol. 124, Iss. 13, pp. 8014-8129
Open Access | Times Cited: 9
Grand challenges in low temperature plasmas
Xinpei Lu, Peter Bruggeman, Stephan Reuter, et al.
Frontiers in Physics (2022) Vol. 10
Open Access | Times Cited: 32
Plasma-Driven Sciences: Exploring Complex Interactions at Plasma Boundaries
Kenji Ishikawa, Kazunori Koga, N. Ohno
Plasma (2024) Vol. 7, Iss. 1, pp. 160-177
Open Access | Times Cited: 6
Science-based, data-driven developments in plasma processing for material synthesis and device-integration technologies
Makoto Kambara, Satoru Kawaguchi, Hae June Lee, et al.
Japanese Journal of Applied Physics (2022) Vol. 62, Iss. SA, pp. SA0803-SA0803
Open Access | Times Cited: 27
Unveiling the interaction mechanisms of cold atmospheric plasma and amino acids by machine learning
Zhao‐Nan Chai, Xucheng Wang, Maksudbek Yusupov, et al.
Plasma Processes and Polymers (2024) Vol. 21, Iss. 7
Closed Access | Times Cited: 5
Sparse regression for plasma physics
Alan A. Kaptanoglu, C. Hansen, J. Lore, et al.
Physics of Plasmas (2023) Vol. 30, Iss. 3
Closed Access | Times Cited: 11
Review: Machine learning for advancing low-temperature plasma modeling and simulation
Jan Trieschmann, Luca Vialetto, Tobias Gergs
Journal of Micro/Nanopatterning Materials and Metrology (2023) Vol. 22, Iss. 04
Open Access | Times Cited: 11
Solving the Orszag–Tang vortex magnetohydrodynamics problem with physics-constrained convolutional neural networks
A. Bormanis, Christopher Leon, Alexander Scheinker
Physics of Plasmas (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 4
Predictive model for SiO2 film properties using plasma optical emission spectra based on machine learning
Sukma Wahyu Fitriani, Kunihiro Kamataki, Yuma Yamamoto, et al.
Surface and Coatings Technology (2025), pp. 132029-132029
Open Access
Simultaneous positioning and operation of multiple probe drives for inverse mirror experimental plasma device
Jignesh Patel, R. I. Samanta Roy, K. Doshi, et al.
Review of Scientific Instruments (2025) Vol. 96, Iss. 3
Closed Access
Investigation of Capacitively Coupled Radio-Frequency Argon Plasma: Integration of in Situ Optical Diagnostics with Data-Driven and Theoretical Modeling
Sharona Atlas, Shani Har Lavan, Amir Kaplan, et al.
Plasma Chemistry and Plasma Processing (2025)
Open Access
Study of line spectra emitted by hydrogen isotopes in tokamaks through Deep-Learning algorithms
Nathaniel Saura, M. Koubiti, S. Benkadda
Nuclear Materials and Energy (2025), pp. 101935-101935
Open Access
Physics-separating artificial neural networks for predicting initial stages of Al sputtering and thin film deposition in Ar plasma discharges
Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 8, pp. 084003-084003
Open Access | Times Cited: 10
Coupling multi-fidelity xRAGE with machine learning for graded inner shell design optimization in double shell capsules
Nomita Vazirani, Michael Grosskopf, D. J. Stark, et al.
Physics of Plasmas (2023) Vol. 30, Iss. 6
Closed Access | Times Cited: 9
Data-driven plasma science based plasma etching process design in OLED mass production referring to PI-VM
Seolhye Park, Jaegu Seong, Yoona Park, et al.
Plasma Physics and Controlled Fusion (2024) Vol. 66, Iss. 2, pp. 025014-025014
Closed Access | Times Cited: 3
Advancements in neural network techniques for electric and magnetic field reconstruction: Application to ion radiography
Chun-Sung Jao, Yen‐Chen Chen, F. Nikaido, et al.
AIP Advances (2024) Vol. 14, Iss. 2
Open Access | Times Cited: 3
A multifidelity Bayesian optimization method for inertial confinement fusion design
Jingyi Wang, Nai-Yuan Chiang, Andrew Gillette, et al.
Physics of Plasmas (2024) Vol. 31, Iss. 3
Open Access | Times Cited: 3
Fast dynamic 1D simulation of divertor plasmas with neural PDE surrogates
Y. R. J. Poels, G.L. Derks, E. Westerhof, et al.
Nuclear Fusion (2023) Vol. 63, Iss. 12, pp. 126012-126012
Open Access | Times Cited: 8
Bayesian batch optimization for molybdenum versus tungsten inertial confinement fusion double shell target design
Nomita Vazirani, Ryan Sacks, Brian Haines, et al.
Statistical Analysis and Data Mining The ASA Data Science Journal (2024) Vol. 17, Iss. 3
Open Access | Times Cited: 2
Deep learning approaches for modeling laser-driven proton beams via phase-stable acceleration
Yao-Li Liu, Yen‐Chen Chen, Chun-Sung Jao, et al.
Physics of Plasmas (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 2
Plasma–Liquid Interaction for Agriculture—A Focused Review
Nevena Puаč, Nikola Škoro
Plasma Processes and Polymers (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 2
Physics-separating artificial neural networks for predicting sputtering and thin film deposition of AlN in Ar/N2 discharges on experimental timescales
Tobias Gergs, Thomas Mussenbrock, Jan Trieschmann
Journal of Physics D Applied Physics (2023) Vol. 56, Iss. 19, pp. 194001-194001
Open Access | Times Cited: 4
Prediction by a hybrid machine learning model for high-mobility amorphous In2O3: Sn films fabricated by RF plasma sputtering deposition using a nitrogen-mediated amorphization method
Kunihiro Kamataki, Hirohi Ohtomo, Naho Itagaki, et al.
Journal of Applied Physics (2023) Vol. 134, Iss. 16
Closed Access | Times Cited: 4
Page 1 - Next Page

Scroll to top