René–Vinicio Sánchez

5.2k total citations · 4 hit papers
112 papers, 4.3k citations indexed

About

René–Vinicio Sánchez is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, René–Vinicio Sánchez has authored 112 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Control and Systems Engineering, 62 papers in Mechanical Engineering and 26 papers in Mechanics of Materials. Recurrent topics in René–Vinicio Sánchez's work include Machine Fault Diagnosis Techniques (79 papers), Gear and Bearing Dynamics Analysis (48 papers) and Fault Detection and Control Systems (41 papers). René–Vinicio Sánchez is often cited by papers focused on Machine Fault Diagnosis Techniques (79 papers), Gear and Bearing Dynamics Analysis (48 papers) and Fault Detection and Control Systems (41 papers). René–Vinicio Sánchez collaborates with scholars based in Ecuador, China and Venezuela. René–Vinicio Sánchez's co-authors include Chuan Li, Mariela Cerrada, Diego Cabrera, Grover Zurita, Rafael E. Vásquez, José Valente de Oliveira, Zhiqiang Chen, Fannia Pacheco, Mariano Artés and Fernando Sancho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

René–Vinicio Sánchez

101 papers receiving 4.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on data-driven fault severity assessment in rolling bearings

2017 560 citations Mariela Cerrada, René–Vinicio Sánchez et al. Mechanical Systems and Signal Processing profile →
Gearbox fault diagnosis based on deep random forest fusion of acoustic and vibratory signals

2016 384 citations Chuan Li, René–Vinicio Sánchez et al. Mechanical Systems and Signal Processing profile →
Gearbox Fault Identification and Classification with Convolutional Neural Networks

2015 303 citations Chuan Li, René–Vinicio Sánchez et al. profile →
Fault diagnosis in spur gears based on genetic algorithm and random forest

2015 284 citations Mariela Cerrada, Grover Zurita et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
René–Vinicio Sánchez Ecuador	30	3.2k	2.1k	1.2k	517	379	112	4.3k
Diego Cabrera Ecuador	27	2.7k 0.8×	1.8k 0.8×	941 0.8×	497 1.0×	329 0.9×	97	3.6k
Mariela Cerrada Ecuador	26	2.6k 0.8×	1.7k 0.8×	920 0.8×	531 1.0×	339 0.9×	116	3.6k
Xiaoan Yan China	36	3.0k 1.0×	1.9k 0.9×	1.1k 0.9×	502 1.0×	232 0.6×	94	4.0k
Siyu Shao China	15	2.7k 0.9×	1.5k 0.7×	861 0.7×	611 1.2×	374 1.0×	27	3.6k
Konstantinos Gryllias Belgium	29	3.1k 1.0×	2.0k 0.9×	1.0k 0.9×	658 1.3×	232 0.6×	136	4.1k
Zhuyun Chen China	30	3.6k 1.1×	2.1k 1.0×	1.2k 1.0×	1.0k 1.9×	381 1.0×	104	4.7k
Zhongkui Zhu China	39	3.8k 1.2×	2.4k 1.1×	1.2k 1.0×	561 1.1×	256 0.7×	168	4.7k
Lingli Cui China	37	3.9k 1.2×	2.6k 1.2×	1.2k 1.0×	403 0.8×	239 0.6×	159	4.8k
Gaoliang Peng China	20	2.3k 0.7×	1.7k 0.8×	920 0.8×	352 0.7×	452 1.2×	72	3.3k
Qing Ni China	31	2.5k 0.8×	1.9k 0.9×	906 0.8×	375 0.7×	220 0.6×	72	3.6k

Countries citing papers authored by René–Vinicio Sánchez

Since Specialization

Citations

This map shows the geographic impact of René–Vinicio Sánchez'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 René–Vinicio Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René–Vinicio Sánchez more than expected).

Fields of papers citing papers by René–Vinicio Sánchez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by René–Vinicio Sánchez. 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 René–Vinicio Sánchez. The network helps show where René–Vinicio Sánchez may publish in the future.

Co-authorship network of co-authors of René–Vinicio Sánchez

This figure shows the co-authorship network connecting the top 25 collaborators of René–Vinicio Sánchez. A scholar is included among the top collaborators of René–Vinicio Sánchez 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 René–Vinicio Sánchez. René–Vinicio Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Cabrera, Diego, Jiapeng Wu, Mariela Cerrada, et al.. (2025). One-Class Learning-Based Contrastive Reconstruction Framework for the Anomaly Detection of Reciprocating Machinery. IEEE Transactions on Reliability. 74(4). 5465–5474.

Cabrera, Diego, Jiapeng Wu, Mariela Cerrada, et al.. (2025). Attention-Based Multisignal Representation of High-Resolution Time Series: A Fault Detection Method for Industrial Machinery. IEEE Transactions on Industrial Electronics. 72(9). 9707–9716. 1 indexed citations

Cerrada, Mariela, et al.. (2024). Digital Model of a Wind Turbine Oriented to Broken Tooth Analysis. IFAC-PapersOnLine. 58(8). 25–30. 1 indexed citations

Sánchez, René–Vinicio, et al.. (2024). Fault Classification in Reciprocating Compressors: A Comparison of Machine Learning and Deep Learning Approaches. IFAC-PapersOnLine. 58(8). 157–161. 1 indexed citations

Sánchez, René–Vinicio, et al.. (2024). Evaluation of Hand-Crafted Feature Extraction for Fault Diagnosis in Rotating Machinery: A Survey. Sensors. 24(16). 5400–5400. 8 indexed citations

Medina, Rubén, René–Vinicio Sánchez, Diego Cabrera, et al.. (2024). Scale-Fractal Detrended Fluctuation Analysis for Fault Diagnosis of a Centrifugal Pump and a Reciprocating Compressor. Sensors. 24(2). 461–461. 6 indexed citations

Medina, Rubén, René–Vinicio Sánchez, Diego Cabrera, et al.. (2024). Gearbox faults severity classification using Poincaré plots of acoustic emission signals. Applied Acoustics. 219. 109918–109918. 7 indexed citations

Cerrada, Mariela, et al.. (2024). A simple yet realistic integrated dynamical modeling of an induction motor and one-stage spur gearbox system with broken tooth. Mechanism and Machine Theory. 200. 105694–105694. 2 indexed citations

Cabrera, Diego, et al.. (2022). Technology selection for Industry 4.0 oriented condition-based monitoring system: A case study in the paper mills industry. IFAC-PapersOnLine. 55(19). 211–216. 3 indexed citations

10.

Cerrada, Mariela, et al.. (2022). Fault diagnosis in reciprocating compressor bearings: an approach using LAMDA applied on current signals. IFAC-PapersOnLine. 55(19). 199–204. 4 indexed citations

11.

Sánchez, René–Vinicio, et al.. (2022). Combining Design Thinking and Agile to Implement Condition Monitoring System: A Case Study on Paper Press Bearings. IFAC-PapersOnLine. 55(19). 187–192. 3 indexed citations

12.

Cabrera, Diego, Mariela Cerrada, René–Vinicio Sánchez, et al.. (2022). Adversarial Fault Detector Guided by One-Class Learning for a Multistage Centrifugal Pump. IEEE/ASME Transactions on Mechatronics. 28(3). 1395–1403. 9 indexed citations

13.

Cerrada, Mariela, et al.. (2022). A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines. Expert Systems with Applications. 204. 117528–117528. 38 indexed citations

14.

Sánchez, René–Vinicio, et al.. (2020). Evaluation of Time and Frequency Condition Indicators from Vibration Signals for Crack Detection in Railway Axles. Applied Sciences. 10(12). 4367–4367. 9 indexed citations

15.

Medina, Rubén, et al.. (2020). Gear and bearing fault classification under different load and speed by using Poincaré plot features and SVM. Journal of Intelligent Manufacturing. 33(4). 1031–1055. 32 indexed citations

16.

Cabrera, Diego, Fernando Sancho, Jianyu Long, et al.. (2019). Generative Adversarial Networks Selection Approach for Extremely Imbalanced Fault Diagnosis of Reciprocating Machinery. IEEE Access. 7. 70643–70653. 62 indexed citations

17.

Li, Chuan, José Valente de Oliveira, Mariela Cerrada, et al.. (2018). A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis. IEEE Transactions on Fuzzy Systems. 27(7). 1362–1382. 127 indexed citations

18.

Medina, Rubén, et al.. (2018). Gearbox fault classification using dictionary sparse based representations of vibration signals. Journal of Intelligent & Fuzzy Systems. 34(6). 3605–3618. 8 indexed citations

19.

Li, Chuan, José Valente de Oliveira, Mariela Cerrada, et al.. (2016). Observer-biased bearing condition monitoring: From fault detection to multi-fault classification. Engineering Applications of Artificial Intelligence. 50. 287–301. 52 indexed citations

20.

Cerrada, Mariela, Grover Zurita, Diego Cabrera, et al.. (2015). Fault diagnosis in spur gears based on genetic algorithm and random forest. Mechanical Systems and Signal Processing. 70-71. 87–103. 284 indexed citations breakdown →

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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