Universidad de Oviedo, la universidad de Asturias.
Dpto. de Construcción e Ingeniería de Fabricación
Antonio Bello García (abellouniovi.es)
Engineering Design Area
Department of Construction and Manufacturing Engineering
University of Oviedo (Spain)

Scopus ORCID ResearchGate Google Scholar Web of Science ADS UNIOVI

Archive of published articles [30]
Journal Article title Vol/iss/pp/yr
Astronomy & Astrophysics
(JCR 2023: 5.4 - Rank: Q1=11/84 -
Astronomy & Astrophysics) 		 Using autoencoders and deep transfer learning to determine the stellar parameters of 286 CARMENES M dwarfs (arXiv:2405.08703) Vol. 687, A205
pp. 20
2024
Cited by in NASA ADS: 0
Cited by in Scopus: 2
Cited by in Google Scholar: 2
Cited by in Web of Science: 1
Cited by in CrossRef: 2
Astronomy & Astrophysics
(JCR 2023: 5.4 - Rank: Q1=11/84 -
Astronomy & Astrophysics) 		 The CARMENES search for exoplanets around M dwarfs. A deep transfer learning method to determine Teff and [M/H] of target stars (arXiv:2304.00224) Vol. 673, A105
pp. 15
2023
Cited by in NASA ADS: 5
Cited by in Scopus: 2
Cited by in Google Scholar: 4
Cited by in Web of Science: 2
Cited by in CrossRef: 3
IFAC-PapersOnLine: 1st IFAC Workshop on Control of Complex Systems COSY 2022 (CiteScore 2022: 1.8)  Cybersecurity challenges in downstream steel production processes Vol. 55, Issue 40
pp. 283-288
2022
Cited by in Scopus: 1
Cited by in Google Scholar: 4
Cited by in Web of Science: 1
Agronomy
(JCR 2022: 3.7 - Rank: Q1=16/88 -
Agronomy) 		 Transfer Learning with Convolutional Neural Networks for Cider Apple Varieties Classification Vol. 12 (11), No 2856
pp. 16
2022
Cited by in Scopus: 7
Cited by in Google Scholar: 5
Cited by in Web of Science: 3
Cited by in CrossRef: 4
Astronomy & Astrophysics
(JCR 2022: 6.5 - Rank: Q1=9/69 -
Astronomy & Astrophysics) 		 J-PLUS: Discovery and characterisation of ultracool dwarfs using Virtual Observatory tools. II. Second data release and machine learning methodology (arXiv:2208.09377) Vol. 666, A147
pp. 16
2022
Cited by in NASA ADS: 1
Cited by in Scopus: 1
Cited by in Google Scholar: 1
Cited by in Web of Science: 1
Cited by in CrossRef: 1
Astronomy & Astrophysics
(JCR 2022: 6.5 - Rank: Q1=9/69 -
Astronomy & Astrophysics) 		 Metallicities in M dwarfs: Investigating different determination techniques (arXiv:2111.14950) Vol. 658, A194
pp. 33
2022
Cited by in NASA ADS: 33
Cited by in Scopus: 25
Cited by in Google Scholar: 41
Cited by in Web of Science: 25
Cited by in CrossRef: 28
IOP Conference Series: Materials Science and Engineering (CiteScore 2021: 1.1)  Integrating BIM in Industrial Engineering programs. A new strategy model Vol. 1193, 012133
pp. 9
2021
Cited by in Scopus: 0
Cited by in Google Scholar: 3
Cited by in Web of Science: 0
Astronomy & Astrophysics
(JCR 2020: 5.802 - Rank: Q1=12/68 -
Astronomy & Astrophysics) 		 The CARMENES search for exoplanets around M dwarfs. A deep learning approach to determine fundamental parameters of target stars (arXiv:2008.01186) Vol. 642, A22
pp. 16
2020
Cited by in NASA ADS: 25
Cited by in Scopus: 20
Cited by in Google Scholar: 40
Cited by in Web of Science: 20
Cited by in CrossRef: 22
Revista Ingeniería de Construcción
(SJR 2019: 0.165 - Rank: Q4 -
Building and Construction) 		 Analysis of the implementation of the BIM methodology in the spanish industrial engineering degrees under the competential perspective
 Vol. 34, No 2
pp 169-180
2019
Cited by in Scopus: 4
Cited by in Google Scholar: 18
Cited by in Web of Science: 5
IEEE Access
(JCR 2019: 3.745 - Rank: Q1=35/156 -
Computer Science, Information Systems) 		 Indicator proposal for measuring regional political support for the electoral process on Twitter: The case of Spain.s 2015 and 2016 general elections
 Vol. 7, Issue 1
pp 62545-62560
2019
Cited by in Scopus: 12
Cited by in Google Scholar: 14
Cited by in Web of Science: 5
PLoS One
(JCR 2018: 2.776 - Rank: Q2=24/69 -
Multidisciplinary Sciences) 		 Detection of human vital signs in hazardous environments by means of video magnification
 PLOS ONE 13(4)
e0195290
2018
Cited by in Scopus: 14
Cited by in Google Scholar: 19
Cited by in Web of Science: 12
MNRAS - Monthly Notices of the Royal Astronomical Society
(JCR 2018: 5.231 - Rank: Q1=15/69 -
Astronomy & Astrophysics) 		 Estimates of the atmospheric parameters of M-type stars: a machine-learning perspective
Vol. 476, Issue 1
pp. 1120-1139
2018
Cited by in NASA ADS: 12
Cited by in Scopus: 12
Cited by in Google Scholar: 17
Cited by in Web of Science: 11
Cited by in CrossRef: 12
Revista de la Construcción
(JCR 2018: 0.468 - Rank: Q4=57/63 -
Construction & Budiling Technology) 		 Optimization of steel structures with one genetic algorithm according to three international building codes
 Vol. 17, No 1
pp. 47-59
2018
Cited by in Scopus: 16
Cited by in Google Scholar: 25
Cited by in Web of Science: 9
Astronomy & Astrophysics
(JCR 2017: 5.565 - Rank: Q1=10/66 -
Astronomy & Astrophysics) 		 Gaia Data Release 1: Testing parallaxes with local Cepheids and RR Lyrae stars
 Vol. 605, A79
pp. 29
2017
Cited by in Scopus: 54
Cited by in Google Scholar: 109
Cited by in Web of Science: 59
Cited by in CrossRef: 79
Astronomy & Astrophysics
(JCR 2017: 5.565 - Rank: Q1=10/66 -
Astronomy & Astrophysics) 		 Gaia Data Release 1: Open cluster astrometry: performance, limitations, and future prospects
 Vol. 601, A19
pp. 65
2017
Cited by in Scopus: 70
Cited by in Google Scholar: 165
Cited by in Web of Science: 58
Cited by in CrossRef: 82
MNRAS - Monthly Notices of the Royal Astronomical Society
(JCR 2017: 5.194 - Rank: Q1=12/66 -
Astronomy & Astrophysics) 		 Evaluation of data compression techniques for the inference of stellar atmospheric parameters from high resolution spectra
 Vol. 465, Issue 4
pp. 4556-4571
2017
Cited by in NASA ADS: 3
Cited by in Scopus: 5
Cited by in Google Scholar: 8
Cited by in Web of Science: 4
Cited by in CrossRef: 4
Astronomy & Astrophysics
(JCR 2016: 5.014 - Rank: Q1=10/63 -
Astronomy & Astrophysics) 		 Gaia Data Release 1: Summary of the astrometric, photometric, and survey properties
 Vol. 595, A2
pp. 23
2016
Cited by in Scopus: 1198
Cited by in Google Scholar: 1671
Cited by in Web of Science: 867
Cited by in CrossRef: 1671
Astronomy & Astrophysics
(JCR 2016: 5.014 - Rank: Q1=10/63 -
Astronomy & Astrophysics) 		 The Gaia Mission
 Vol. 595, A1
pp. 36
2016
Cited by in Scopus: 3196
Cited by in Google Scholar: 5030
Cited by in Web of Science: 3903
Cited by in CrossRef: 4956
Photogrammetric Record
(JCR 2013: 1.377 - Rank: Q2=10/23 -
Imaging Science & Photographic Tech.) 		 Validating The Supporting Structure of A Parabolic Solar Collector Using Close Range Photogrammetry Vol. 128, Issue 142
pp. 211-226
2013
Cited by in Scopus: 4
Cited by in Google Scholar: 4
Cited by in Web of Science: 4
Astronomy & Astrophysics
(JCR 2013: 4.479 - Rank: Q1=13/59 -
Astronomy & Astrophysics) 		 Improved variability classification of CoRoT targets with Giraffe spectra
 Vol. 550, A120
pp. 20
2013
Cited by in NASA ADS: 23
Cited by in Scopus: 22
Cited by in Google Scholar: 34
Cited by in Web of Science: 18
Cited by in CrossRef: 22
International Journal of Vehicle Design
(JCR 2013: 0.239 - Rank: Q4=117/126) 		 A simulation method to estimate closing forces in car-sealing rubber elements
 Vol. 59, No. 4
pp. 249-271
2012
Cited by in Scopus: 1
Cited by in Google Scholar: 0
Applied Energy
(JCR 2013: 5.261 - Rank: Q1=7/82) 		 Estimating intercept factor of a parabolic solar trough collector with new supporting structure using off-the-shelf photogrammetric equipment
 Vol. 92
pp. 815-821
2012
Cited by in Scopus: 50
Cited by in Google Scholar: 68
Cited by in Web of Science: 39
Applied Mathematics and Computation
(JCR 2013: 1.600 - Rank: Q1=30/250) 		 Non-linear analysis of the consolidation of an elastic saturated soil with incompressible fluid and variable permeability by FEM
 Vol. 216/2
pp. 458-476
2010
Cited by in Scopus: 11
Cited by in Google Scholar: 16
Cited by in Web of Science: 9

Mathematical and Computer Modelling
(JCR 2013: 2.020 - Rank: Q1=16/250) 		 Mathematical modelling and study of the consolidation of an elastic saturated soil with an incompressible fluid by FEM
 Vol. 49/9-10
pp. 2002-2018
2009
Cited by in Scopus: 3
Cited by in Google Scholar: 5
Cited by in Web of Science: 2

Journal of Non-Crystalline Solids
(JCR 2013: 1.716 - Rank: Q1=4/25) 		 Finite volume modelling of the non-isothermal flow of a non-Newtonian fluid in a rubber's extrusion die
 Vol. 354
pp. 5334-5336
2008
Cited by in Scopus: 12
Cited by in Google Scholar: 23
Cited by in Web of Science: 12

Journal of Non-Crystalline Solids
(JCR 2013: 1.716 - Rank: Q1=4/25) 		 Finite element analysis of the hyperelastic contact problem in automotive door sealing
 Vol. 354
pp. 5331-5333
2008
Cited by in Scopus: 10
Cited by in Google Scholar: 15
Cited by in Web of Science: 8

Journal of Non-Crystalline Solids
(JCR 2013: 1.716 - Rank: Q1=4/25) 		 Computer simulation of the laminar nozzle flow of a non-Newtonian fluid in a rubber extrusion process and experimental comparison
 Vol. 353/8-10
pp. 981-983
2007
Cited by in Scopus: 18
Cited by in Google Scholar: 24
Cited by in Web of Science: 16

Journal of Constructional Steel Research
(JCR 2013: 1.370 - Rank: Q2=17/58) 		 Design optimization of 3D steel structures: genetic algorithms vs. classical techniques
 Vol. 62/12
pp. 1303-1309
2006
Cited by in Scopus: 58
Cited by in Google Scholar: 86
Cited by in Web of Science: 50

Journal of Constructional Steel Research
(JCR 2013: 1.370 - Rank: Q2=17/58) 		 A modified elitist genetic algorithm applied to the design optimization of complex steel structures
 Vol. 61/2
pp. 265-280
2005
Cited by in Scopus: 50
Cited by in Google Scholar: 69
Cited by in Web of Science: 34

International Journal of Computer Integrated Manufacturing
(JCR 2013: 1.019 - Rank: Q3=72/102) 		 Intelligent methods helping the design of a manufacturing system for die extrusion rubbers
 Vol. 16/3
pp. 173-180
2003
Cited by in Scopus: 14
Cited by in Google Scholar: 30
Cited by in Web of Science: 12

Journal of Constructional Steel Research
(JCR 2013: 1.370 - Rank: Q2=17/58) 		 Aprendizaje interactivo mediante programa de análisis estructural avanzado
 Vol. 46/1-3
pp. 273-274
1998
Cited by in Scopus: 0
Cited by in Google Scholar: 3

Int. Journal of Rock Mechanics and Mining Sciences
(JCR 2013: 1.424 - Rank: Q1=5/21) 		 Parameter optimization of influence functions in mining subsidence
 Vol. 34/7
pp. 1125-1131
1997
Cited by in Scopus: 6
Cited by in Google Scholar: 9
Cited by in Web of Science: 4

International Journal of Mining, Reclamation and Environment
(JCR 2013: 0.531 - Rank: Q4=16/21) 		 Generalization of the influence function method in mining subsidence
 Vol. 10/4
pp. 195-202
1996
Cited by in Scopus: 11
Cited by in Google Scholar: 16
5th International Symposium on Spatial Data Handling  A contour line based triangulating algorithm (Researchgate PDF)
 Vol. 2
pp. 411-423
1992
Cited by in Google Scholar: 10
Cited by in Web of Science: 1
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