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Analysis of institutional authors

Hoyas, SAuthor

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October 30, 2024
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Article

Three-dimensional ESRGAN for super-resolution reconstruction of turbulent flows with tricubic interpolation-based transfer learning

Publicated to: PHYSICS OF FLUIDS. 34 (12): 125126-1-125126-14 - 2022-01-01 34(12), DOI: 10.1063/5.0129203

Authors:

Yu, Linqui; Yousif, Mustafa Z.; Zhang, Meng; Hoyas, S; Vinuesa, Ricardo; Lim, Hee-Chang
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Affiliations

KTH Royal Inst Technol, FLOW, Engn Mech - Author
Pusan Natl Univ, Sch Mech Engn, 2,Busandaehak ro 63beon gil - Author
Univ Politecn Valencia, Inst Univ Matemat Pura & Aplicada - Author
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Abstract

Turbulence is a complicated phenomenon because of its chaotic behavior with multiple spatiotemporal scales. Turbulence also has irregularity and diffusivity, making predicting and reconstructing turbulence more challenging. This study proposes a deep-learning approach to reconstruct three-dimensional (3D) high-resolution turbulent flows from spatially limited data using a 3D enhanced super-resolution generative adversarial networks (3D-ESRGAN). In addition, a novel transfer-learning method based on tricubic interpolation is employed. Turbulent channel flow data at friction Reynolds numbers R e tau = 180 and R e tau = 500 were generated by direct numerical simulation (DNS) and used to estimate the performance of the deep-learning model as well as that of tricubic interpolation-based transfer learning. The results, including instantaneous velocity fields and turbulence statistics, show that the reconstructed high-resolution data agree well with the reference DNS data. The findings also indicate that the proposed 3D-ESRGAN can reconstruct 3D high-resolution turbulent flows even with limited training data.
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Keywords

Channel flowChaotic behaviourDeep learningDirect numerical-simulationGenerative adversarial networksHigh resolutionImage reconstructionInternet protocolsInterpolationLearning approachLearning systemsLimited dataOptical resolving powerReynolds numberSpatio-temporal scaleSuper-resolution reconstructionSuperresolutionTransfer learningTransfer learning methodsTricubic interpolationTurbulenceTurbulent flow

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal PHYSICS OF FLUIDS due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2022, it was in position 2/34, thus managing to position itself as a Q1 (Primer Cuartil), in the category Physics, Fluids & Plasmas. Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 5.35. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 6.6 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-03, the following number of citations:

  • WoS: 54
  • Scopus: 62
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-03:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 30.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 30 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 2 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Republic of Korea; Sweden; United States of America.

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Awards linked to the item

This work was supported by "Human Resources Program in Energy Technology" of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy, Republic of Korea (No. 20214000000140). In addition, this work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2019R1I1A3A01058576). This work was also supported by the National Supercomputing Center with supercomputing resources including technical support (No. KSC-2022-CRE-0282). R.V. acknowledges the financial support from the ERC Grant No. 2021-CoG-101043998, DEEPCONTROL. S.H. was funded by Contract No. PID2021-128676OB-I00 of Ministerio de Ciencia, innovacion y Universidades/FEDER.
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