Yolanda Vidal

2.0k total citations
102 papers, 1.4k citations indexed

About

Yolanda Vidal is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Yolanda Vidal has authored 102 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Control and Systems Engineering, 44 papers in Mechanical Engineering and 42 papers in Civil and Structural Engineering. Recurrent topics in Yolanda Vidal's work include Machine Fault Diagnosis Techniques (49 papers), Structural Health Monitoring Techniques (32 papers) and Fault Detection and Control Systems (17 papers). Yolanda Vidal is often cited by papers focused on Machine Fault Diagnosis Techniques (49 papers), Structural Health Monitoring Techniques (32 papers) and Fault Detection and Control Systems (17 papers). Yolanda Vidal collaborates with scholars based in Spain, Ecuador and Brazil. Yolanda Vidal's co-authors include Francesc Pozo, Leonardo Acho, Christian Tutivén, Mauricio Zapateiro, Antonio Huerta, José Rodellar, Pierre Villon, Javier Bonet, Óscar Salgado and Ningsu Luo and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Sensors and International Journal for Numerical Methods in Engineering.

In The Last Decade

Yolanda Vidal

94 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yolanda Vidal Spain 21 746 425 382 355 304 102 1.4k
Valder Steffen Brazil 26 724 1.0× 862 2.0× 716 1.9× 90 0.3× 470 1.5× 160 2.2k
Xing Wu China 21 1.4k 1.8× 558 1.3× 951 2.5× 237 0.7× 228 0.8× 100 2.2k
Javad Poshtan Iran 21 1.3k 1.7× 155 0.4× 453 1.2× 249 0.7× 209 0.7× 155 1.8k
Cong Wang China 19 1.2k 1.7× 183 0.4× 309 0.8× 95 0.3× 93 0.3× 92 1.8k
Guang-Chen Bai China 32 273 0.4× 586 1.4× 649 1.7× 115 0.3× 930 3.1× 94 2.2k
Gaigai Cai China 14 1.1k 1.5× 396 0.9× 798 2.1× 155 0.4× 318 1.0× 32 1.5k
Hugues Mounier France 25 1.1k 1.4× 226 0.5× 318 0.8× 122 0.3× 44 0.1× 88 1.7k
Shengli Xu China 20 208 0.3× 574 1.4× 259 0.7× 55 0.2× 377 1.2× 59 1.4k
Daniel C. Kammer United States 18 306 0.4× 1.7k 3.9× 358 0.9× 155 0.4× 409 1.3× 65 2.0k
Alok Sinha United States 20 614 0.8× 924 2.2× 320 0.8× 133 0.4× 125 0.4× 126 1.5k

Countries citing papers authored by Yolanda Vidal

Since Specialization
Citations

This map shows the geographic impact of Yolanda Vidal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yolanda Vidal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yolanda Vidal more than expected).

Fields of papers citing papers by Yolanda Vidal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yolanda Vidal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yolanda Vidal. The network helps show where Yolanda Vidal may publish in the future.

Co-authorship network of co-authors of Yolanda Vidal

This figure shows the co-authorship network connecting the top 25 collaborators of Yolanda Vidal. A scholar is included among the top collaborators of Yolanda Vidal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yolanda Vidal. Yolanda Vidal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Vidal, Yolanda, et al.. (2025). Detection of wind turbine rotor imbalance using unsupervised output-only vibration data analysis. Energy and AI. 21. 100565–100565. 1 indexed citations
2.
Vidal, Yolanda, et al.. (2025). Numerical Study on Thermal Management of Electric Vehicle Battery Cooling Modules Using Al2O3 Nanofluids. International Journal of Heat and Technology. 43(1). 1–10.
3.
Vidal, Yolanda, et al.. (2025). Strain virtual sensor for offshore wind turbine jacket supports: A time series transformer approach validated with Alpha Ventus wind farm data. Mechanical Systems and Signal Processing. 231. 112653–112653.
4.
Castellani, Francesco, Francesco Natili, Davide Astolfi, & Yolanda Vidal. (2024). Wind turbine gearbox condition monitoring through the sequential analysis of industrial SCADA and vibration data. Energy Reports. 12. 750–761. 15 indexed citations
5.
6.
Vidal, Yolanda, et al.. (2024). Wind Turbine Gearbox Early Fault Detection Using Mel‐Frequency Cepstral Coefficients of Vibration Data. Structural Control and Health Monitoring. 2024(1). 5 indexed citations
7.
Vidal, Yolanda, et al.. (2024). Wind Turbine Modeling, Maximum Power Point Tracking (MPPT), and Experimental Validation. Renewable Energy and Power Quality Journal. 1–6.
8.
Tutivén, Christian, et al.. (2024). Detection of crack bar deterioration at offshore wind turbine supports using generative adversarial networks and autoencoders. Journal of Physics Conference Series. 2647(18). 182010–182010. 1 indexed citations
9.
Vidal, Yolanda. (2023). Artificial Intelligence for Wind Turbine Condition Monitoring. Energies. 16(4). 1632–1632. 2 indexed citations
10.
Tutivén, Christian, et al.. (2023). Detecting bearing failures in wind energy parks: A main bearing early damage detection method using SCADA data and a convolutional autoencoder. Energy Science & Engineering. 11(4). 1395–1411. 5 indexed citations
11.
Vidal, Yolanda, et al.. (2023). Wind Turbine Gearbox Condition Monitoring Using Vibration Data and Mel-Frequency Cepstral Coefficients. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
12.
Vidal, Yolanda, et al.. (2023). Damage Detection and Localization at the Jacket Support of an Offshore Wind Turbine Using Transformer Models. Structural Control and Health Monitoring. 2023. 1–16. 6 indexed citations
13.
Vidal, Yolanda, et al.. (2023). Anomaly-based fault detection in wind turbine main bearings. Wind energy science. 8(4). 557–574. 6 indexed citations
14.
Tutivén, Christian, et al.. (2022). Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms. Mathematics. 10(7). 1131–1131. 14 indexed citations
15.
Pozo, Francesc, Diego Alexander Tibaduiza Burgos, & Yolanda Vidal. (2021). Sensors for Structural Health Monitoring and Condition Monitoring. Sensors. 21(5). 1558–1558. 13 indexed citations
16.
Vidal, Yolanda, et al.. (2021). Entropy Indicators: An Approach for Low-Speed Bearing Diagnosis. Sensors. 21(3). 849–849. 20 indexed citations
17.
Tutivén, Christian, et al.. (2021). SCADA Data-Driven Wind Turbine Main Bearing Fault Prognosis Based on One-Class Support Vector Machines. Renewable Energy and Power Quality Journal. 19(3). 6 indexed citations
18.
Pozo, Francesc, et al.. (2020). Low-Speed Bearing Fault Diagnosis Based on Permutation and Spectral Entropy Measures. Applied Sciences. 10(13). 4666–4666. 11 indexed citations
19.
Vidal, Yolanda, et al.. (2017). A fault detection method for pitch actuators faults in wind turbines. Renewable Energy and Power Quality Journal. 13(6). 5 indexed citations
20.
Acho, Leonardo & Yolanda Vidal. (2010). Hysteresis modeling of a class of RC-OTA hysteretic-chaotic generators. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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