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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:

Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma
Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2021) Vol. 33, Iss. 6, pp. 2630-2641
Open Access | Times Cited: 22

Showing 22 citing articles:

Avoiding fusion plasma tearing instability with deep reinforcement learning
Jaemin Seo, S. K. Kim, Azarakhsh Jalalvand, et al.
Nature (2024) Vol. 626, Iss. 8000, pp. 746-751
Open Access | Times Cited: 26
A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning
Heng Zhang, Danilo Vasconcellos Vargas
IEEE Access (2023) Vol. 11, pp. 81033-81070
Open Access | Times Cited: 20
PyRCN: A toolbox for exploration and application of Reservoir Computing Networks
Peter Steiner, Azarakhsh Jalalvand, Simon Stone, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104964-104964
Open Access | Times Cited: 14
Neural net modeling of equilibria in NSTX-U
J. Wai, Mark D. Boyer, Egemen Kolemen
Nuclear Fusion (2022) Vol. 62, Iss. 8, pp. 086042-086042
Open Access | Times Cited: 12
Advanced data analysis in inertial confinement fusion and high energy density physics
Patrick Knapp, William E. Lewis
Review of Scientific Instruments (2023) Vol. 94, Iss. 6
Open Access | Times Cited: 7
Alfvén eigenmode classification based on ECE diagnostics at DIII-D using deep recurrent neural networks
Azarakhsh Jalalvand, Alan A. Kaptanoglu, Alvin Garcia, et al.
Nuclear Fusion (2021) Vol. 62, Iss. 2, pp. 026007-026007
Open Access | Times Cited: 17
MHD mode tracking using high-speed cameras and deep learning
Y. Wei, J.P. Levesque, C. Hansen, et al.
Plasma Physics and Controlled Fusion (2023) Vol. 65, Iss. 7, pp. 074002-074002
Open Access | Times Cited: 6
Exploring data-driven models for spatiotemporally local classification of Alfvén eigenmodes
Alan A. Kaptanoglu, Azarakhsh Jalalvand, Alvin Garcia, et al.
Nuclear Fusion (2022) Vol. 62, Iss. 10, pp. 106014-106014
Closed Access | Times Cited: 9
A general infrastructure for data-driven control design and implementation in tokamaks
Joseph Abbate, Rory Conlin, Ricardo Shousha, et al.
Journal of Plasma Physics (2023) Vol. 89, Iss. 1
Open Access | Times Cited: 4
Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Y. Wei, Ryan F. Forelli, C. Hansen, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 7
Open Access | Times Cited: 1
Experimental identification of Ion Cyclotron Emission on HL-2A using YOLO neural network algorithm
Jiahao Zhang, Jun Zhao, Linzi Liu, et al.
Nuclear Fusion (2024) Vol. 64, Iss. 12, pp. 126070-126070
Open Access | Times Cited: 1
Automatic identification of edge localized modes in the DIII-D tokamak
Finn H. O’Shea, Semin Joung, D. R. Smith, et al.
APL Machine Learning (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 3
Exploring unsupervised pre-training for echo state networks
Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24225-24242
Open Access | Times Cited: 3
Initial testing of Alfvén Eigenmode feedback control with machine-learning observers on DIII-D
Andrew Rothstein, Azarakhsh Jalalvand, Joseph Abbate, et al.
Nuclear Fusion (2024) Vol. 64, Iss. 9, pp. 096020-096020
Open Access
Model-free stabilization via Extremum Seeking using a cost neural estimator
Sara Dubbioso, Azarakhsh Jalalvand, J. Wai, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125204-125204
Open Access
Alfvén eigenmode detection using Long-Short Term Memory Networks and CO2 Interferometer data on the DIII-D National Fusion Facility
Alvin Garcia, Azarakhsh Jalalvand, Peter Steiner, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access | Times Cited: 1
A Deep Learning-Based Method to Detect Hot-Spots in the Visible Video Diagnostics of Wendelstein 7-X
Máté Szűcs, T. Szepesi, C. Biedermann, et al.
Journal of Nuclear Engineering (2022) Vol. 3, Iss. 4, pp. 473-479
Open Access | Times Cited: 2
Application of neural networks in beam emission spectroscopy modelling
Azarakhsh Jalalvand, Ö. Asztalos, Mate Karacsonyi, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
Non-Standard Echo State Networks for Video Door State Monitoring
Peter Steiner, Azarakhsh Jalalvand, Peter Birkholz
2022 International Joint Conference on Neural Networks (IJCNN) (2023), pp. 1-8
Closed Access
Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak
Y. Wei, Ryan F. Forelli, C. Hansen, et al.
arXiv (Cornell University) (2023)
Open Access
Semiconductor technologies and related topics for implementation of electronic reservoir computing systems
Seiya Kasai
Semiconductor Science and Technology (2022) Vol. 37, Iss. 10, pp. 103001-103001
Open Access
2022 Index IEEE Transactions on Neural Networks and Learning Systems Vol. 33

IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 33, Iss. 12, pp. 7951-8059
Open Access
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