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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:

Data-driven multi-valley dark solitons of multi-component Manakov Model using Physics-Informed Neural Networks
Meiyazhagan Jaganathan, B. Tamil Arasan, Murugesan Vadivel, et al.
Chaos Solitons & Fractals (2023) Vol. 172, pp. 113509-113509
Open Access | Times Cited: 12

Showing 12 citing articles:

Data driven multi soliton solutions of the Fokas-Lenells equation using conservation laws in PINN
Gautam Kumar Saharia, Sagardeep Talukdar, Riki Dutta, et al.
Journal of Optics (2024)
Closed Access | Times Cited: 6
Data-driven soliton solutions and parameters discovery of the coupled nonlinear wave equations via a deep learning method
Xiaoli Wang, Zekang Wu, Jin Song, et al.
Chaos Solitons & Fractals (2024) Vol. 180, pp. 114509-114509
Closed Access | Times Cited: 5
Data-driven reduced-order modeling for nonlinear aerodynamics using an autoencoder neural network
Abhijith Moni, Weigang Yao, Hossein Malekmohamadi
Physics of Fluids (2024) Vol. 36, Iss. 1
Closed Access | Times Cited: 4
Exploring data driven soliton and rogue waves in $$\mathcal{P}\mathcal{T}$$ symmetric and spatio-temporal potentials using PINN and SC-PINN methods
R. Anand, K. Manikandan, Nurzhan Serikbayev
The European Physical Journal Plus (2025) Vol. 140, Iss. 3
Closed Access
Data-driven nondegenerate bound-state solitons of multicomponent Bose–Einstein condensates via mix-training PINN
Shifang Tian, Chenchen Cao, Biao Li
Results in Physics (2023) Vol. 52, pp. 106842-106842
Open Access | Times Cited: 7
Predicting Ultrafast Nonlinear Dynamics in Fiber Optics by Enhanced Physics-Informed Neural Network
Xiaotian Jiang, Min Zhang, Yuchen Song, et al.
Journal of Lightwave Technology (2023) Vol. 42, Iss. 5, pp. 1381-1394
Closed Access | Times Cited: 7
Prediction of self-similar waves in tapered graded index diffraction decreasing waveguide by the A-gPINN method
Lang Li, Wei-Xin Qiu, Chao‐Qing Dai, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 12, pp. 10319-10340
Closed Access | Times Cited: 2
Physics-informed neural network for nonlinear dynamics of self-trapped necklace beams
Dongshuai Liu, Wen Zhang, Yanxia Gao, et al.
Optics Express (2024) Vol. 32, Iss. 22, pp. 38531-38531
Open Access | Times Cited: 1
The cell-average based neural network for numerical approximation of the nonlinear Schrödinger equation
Dielan Hu, Changxin Qiu, Bo Yang, et al.
Nonlinear Dynamics (2024) Vol. 112, Iss. 20, pp. 18413-18433
Open Access
Data-driven prediction of vortex solitons and multipole solitons in whispering gallery mode microresonator
Zhengxin Yu, Long‐Fei Ren, Lang Li, et al.
Chaos Solitons & Fractals (2024) Vol. 188, pp. 115562-115562
Closed Access
Prediction of soliton evolution and parameters evaluation for a high-order nonlinear Schrödinger–Maxwell–Bloch equation in the optical fiber
Zhonghua Hu, Aocheng Yang, Su-Yong Xu, et al.
Physics Letters A (2024), pp. 130182-130182
Closed Access
U-net based vortex detection in Bose–Einstein condensates with automatic correction for manually mislabeled data
Jing Ye, Yue Huang, Keyan Liu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access
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