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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.

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Showing 1-25 of 28 citing articles:

Time series forecasting for hourly photovoltaic power using conditional generative adversarial network and Bi-LSTM
Xiaoqiao Huang, Qiong Li, Yonghang Tai, et al.
Energy (2022) Vol. 246, pp. 123403-123403
Closed Access | Times Cited: 143
Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan Blank, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 6, pp. 517-540
Open Access | Times Cited: 116
Language in Brains, Minds, and Machines
Greta Tuckute, Nancy Kanwisher, Evelina Fedorenko
Annual Review of Neuroscience (2024) Vol. 47, Iss. 1, pp. 277-301
Closed Access | Times Cited: 13
Forecasting carbon prices in China's pilot carbon market: A multi-source information approach with conditional generative adversarial networks
Zhigang Huang, Weilan Zhang
Journal of Environmental Management (2024) Vol. 359, pp. 120967-120967
Closed Access | Times Cited: 10
Toward understanding the communication in sperm whales
Jacob Andreas, Gašper Beguš, Michael M. Bronstein, et al.
iScience (2022) Vol. 25, Iss. 6, pp. 104393-104393
Open Access | Times Cited: 29
Dual-dimension Time-GGAN data augmentation method for improving the performance of deep learning models for PV power forecasting
Ling-Man Liu, Xiaoying Ren, Fei Zhang, et al.
Energy Reports (2023) Vol. 9, pp. 6419-6433
Open Access | Times Cited: 16
Vowels and Diphthongs in Sperm Whales
Gašper Beguš, Ronald Sprouse, Andrej Leban, et al.
(2023)
Open Access | Times Cited: 15
The Formation of Perceptual Space in Early Phonological Acquisition: A Cross-Linguistic Modeling Approach
Frank Lihui Tan, Youngah Do
(2025)
Closed Access
Encoding of speech in convolutional layers and the brain stem based on language experience
Gašper Beguš, Alan Zhou, T. Christina Zhao
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Comprehension and production of Kinyarwanda verbs in the Discriminative Lexicon
Ruben van de Vijver, Emmanuel Uwambayinema, Yu‐Ying Chuang
Linguistics (2023) Vol. 62, Iss. 1, pp. 79-119
Open Access | Times Cited: 6
Local and non-local dependency learning and emergence of rule-like representations in speech data by deep convolutional generative adversarial networks
Gašper Beguš
Computer Speech & Language (2021) Vol. 71, pp. 101244-101244
Open Access | Times Cited: 12
Carbon Price Prediction for the European Carbon Market Using Generative Adversarial Networks
Yuzhi Chen
Modern Economy (2024) Vol. 15, Iss. 03, pp. 219-232
Open Access | Times Cited: 1
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication
Gašper Beguš
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 1180-1196
Open Access | Times Cited: 10
Interpreting Intermediate Convolutional Layers of Generative CNNs Trained on Waveforms
Gašper Beguš, Alan Zhou
IEEE/ACM Transactions on Audio Speech and Language Processing (2022) Vol. 30, pp. 3214-3229
Open Access | Times Cited: 7
A Correspondence Variational Autoencoder for Unsupervised Acoustic Word Embeddings
Puyuan Peng, Herman Kamper, Karen Livescu
arXiv (Cornell University) (2020)
Open Access | Times Cited: 10
Current status, application, and challenges of the interpretability of generative adversarial network models
Su-Lin Wang, Chengqiang Zhao, Lingling Huang, et al.
Computational Intelligence (2022) Vol. 39, Iss. 2, pp. 283-314
Closed Access | Times Cited: 6
Articulation GAN: Unsupervised Modeling of Articulatory Learning
Gašper Beguš, Alan Zhou, Peter Wu, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023) Vol. 2, pp. 1-5
Open Access | Times Cited: 3
Interpreting Intermediate Convolutional Layers In Unsupervised Acoustic Word Classification
Gašper Beguš, Alan Zhou
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 8207-8211
Open Access | Times Cited: 5
Identity-Based Patterns in Deep Convolutional Networks: Generative Adversarial Phonology and Reduplication
Gašper Beguš
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 4
Exploring How Generative Adversarial Networks Learn Phonological Representations
Jingyi Chen, Micha Elsner
(2023), pp. 3115-3129
Open Access | Times Cited: 1
Encoding of speech in convolutional layers and the brain stem based on language experience
Gašper Beguš, Alan Zhou, T. Christina Zhao
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 2
Interpreting intermediate convolutional layers of generative CNNs trained on waveforms
Gašper Beguš, Alan Zhou
arXiv (Cornell University) (2021)
Open Access | Times Cited: 2
Comprehension and production of Kinyarwanda verbs in the Discriminative Lexicon
Ruben van de Vijver, Emmanuel Uwambayinema, Yu‐Ying Chuang
(2021)
Closed Access | Times Cited: 2
Artificial sound change: Language change and deep convolutional neural networks in iterative learning.
Gašper Beguš
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 1
Deep Sound Change: Deep and Iterative Learning, Convolutional Neural Networks, and Language Change
Gašper Beguš
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1
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