Diego Cabrera

4.4k total citations · 3 hit papers
97 papers, 3.6k citations indexed

About

Diego Cabrera is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Diego Cabrera has authored 97 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Control and Systems Engineering, 53 papers in Mechanical Engineering and 19 papers in Mechanics of Materials. Recurrent topics in Diego Cabrera's work include Machine Fault Diagnosis Techniques (67 papers), Gear and Bearing Dynamics Analysis (38 papers) and Fault Detection and Control Systems (35 papers). Diego Cabrera is often cited by papers focused on Machine Fault Diagnosis Techniques (67 papers), Gear and Bearing Dynamics Analysis (38 papers) and Fault Detection and Control Systems (35 papers). Diego Cabrera collaborates with scholars based in Ecuador, China and Venezuela. Diego Cabrera's co-authors include René–Vinicio Sánchez, Mariela Cerrada, Chuan Li, Grover Zurita, Rafael E. Vásquez, José Valente de Oliveira, Fannia Pacheco, Mariano Artés, Fernando Sancho and Jianyu Long and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

In The Last Decade

Diego Cabrera

90 papers receiving 3.5k 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 →
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
Diego Cabrera Ecuador	27	2.7k	1.8k	941	497	329	97	3.6k
Mariela Cerrada Ecuador	26	2.6k 1.0×	1.7k 1.0×	920 1.0×	531 1.1×	339 1.0×	116	3.6k
René–Vinicio Sánchez Ecuador	30	3.2k 1.2×	2.1k 1.2×	1.2k 1.3×	517 1.0×	379 1.2×	112	4.3k
Xiaoan Yan China	36	3.0k 1.1×	1.9k 1.1×	1.1k 1.1×	502 1.0×	232 0.7×	94	4.0k
Siyu Shao China	15	2.7k 1.0×	1.5k 0.8×	861 0.9×	611 1.2×	374 1.1×	27	3.6k
Qing Ni China	31	2.5k 1.0×	1.9k 1.1×	906 1.0×	375 0.8×	220 0.7×	72	3.6k
Gaoliang Peng China	20	2.3k 0.9×	1.7k 1.0×	920 1.0×	352 0.7×	452 1.4×	72	3.3k
Ruyi Huang China	26	2.3k 0.9×	1.3k 0.7×	750 0.8×	737 1.5×	259 0.8×	70	3.2k
Saibo Xing China	11	3.4k 1.3×	2.0k 1.2×	1.2k 1.3×	711 1.4×	299 0.9×	13	4.0k
Shuilong He China	28	2.3k 0.9×	1.3k 0.7×	679 0.7×	641 1.3×	168 0.5×	84	3.0k
Anil Kumar China	32	2.1k 0.8×	1.6k 0.9×	697 0.7×	378 0.8×	190 0.6×	118	3.1k

Countries citing papers authored by Diego Cabrera

Since Specialization

Citations

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

Fields of papers citing papers by Diego Cabrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Cabrera. 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 Diego Cabrera. The network helps show where Diego Cabrera may publish in the future.

Co-authorship network of co-authors of Diego Cabrera

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

All Works

Sort: Min cites: Since: Top N: Style:

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

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

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

10.

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

11.

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

12.

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

13.

Cabrera, Diego, et al.. (2022). Continual Refoircement Learning Using Real-World Data for Intelligent Prediction of SOC Consumption in Electric Vehicles. IEEE Latin America Transactions. 20(4). 624–633. 15 indexed citations

14.

Cabrera, Diego, et al.. (2021). A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses. IEEE Transactions on Industrial Electronics. 69(8). 8411–8419. 44 indexed citations

15.

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

16.

Zhong, Jingjing, et al.. (2020). Theoretical Investigations on Kurtosis and Entropy and Their Improvements for System Health Monitoring. IEEE Transactions on Instrumentation and Measurement. 70. 1–10. 40 indexed citations

17.

Zhang, Shaohui, Zhenzhong Sun, Chuan Li, et al.. (2019). Deep Hybrid State Network With Feature Reinforcement for Intelligent Fault Diagnosis of Delta 3-D Printers. IEEE Transactions on Industrial Informatics. 16(2). 779–789. 46 indexed citations

18.

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

19.

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

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.

Explore authors with similar magnitude of impact