Enislay Ramentol

1.1k total citations · 1 hit paper
10 papers, 796 citations indexed

About

Enislay Ramentol is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Enislay Ramentol has authored 10 papers receiving a total of 796 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Enislay Ramentol's work include Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Electricity Theft Detection Techniques (3 papers). Enislay Ramentol is often cited by papers focused on Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (4 papers) and Electricity Theft Detection Techniques (3 papers). Enislay Ramentol collaborates with scholars based in Germany, Spain and Cuba. Enislay Ramentol's co-authors include Francisco Herrera, Yailé Caballero Mota, Rafael Bello, Chris Cornelis, Nele Verbiest, Jingjun Bi, Gaojuan Fan, Hamido Fujita, Baojun Qiao and Chongsheng Zhang and has published in prestigious journals such as IEEE Transactions on Fuzzy Systems, Applied Soft Computing and Knowledge-Based Systems.

In The Last Decade

Enislay Ramentol

9 papers receiving 760 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.

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory

2011 354 citations Enislay Ramentol, Yailé Caballero Mota et al. Knowledge and Information Systems profile →

Peers

Countries citing papers authored by Enislay Ramentol

Since Specialization

Citations

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

Fields of papers citing papers by Enislay Ramentol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enislay Ramentol

This figure shows the co-authorship network connecting the top 25 collaborators of Enislay Ramentol. A scholar is included among the top collaborators of Enislay Ramentol 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 Enislay Ramentol. Enislay Ramentol 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:

10 of 10 papers shown

#	Work	Indexed citations
1	Dta-qc: an AI-driven framework for adaptive quality control and intelligent test optimization in 5 G manufacturing 2025 ·Journal of Intelligent Manufacturing ·Jie Liu, Enislay Ramentol, (unknown), (unknown)	0
2	Short-Term Air Pollution Forecasting Using Embeddings in Neural Networks 2023 ·Atmosphere ·Enislay Ramentol, (unknown), (unknown), Andreas Wagner	5
3	Short- and long-term forecasting of electricity prices using embedding of calendar information in neural networks 2022 ·Journal of commodity markets ·Andreas Wagner, Enislay Ramentol, (unknown), (unknown)	21
4	A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines 2021 ·Energy and AI ·(unknown), Enislay Ramentol, Moksadur Rahman, (unknown), Konstantinos Kyprianidis	25
5	A novel methodology to classify test cases using natural language processing and imbalanced learning 2020 ·Engineering Applications of Artificial Intelligence ·(unknown), (unknown), Enislay Ramentol, (unknown), Wasif Afzal, Francisco Herrera	29
6	Multi-Imbalance: An open-source software for multi-class imbalance learning 2019 ·Knowledge-Based Systems ·Chongsheng Zhang, Jingjun Bi, Shixin Xu, Enislay Ramentol, Gaojuan Fan, Baojun Qiao, Hamido Fujita	137
7	Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm 2015 ·Engineering Applications of Artificial Intelligence ·Enislay Ramentol, (unknown), (unknown), Rafael Bello, Yailé Caballero Mota, Chris Cornelis, Francisco Herrera	66
8	Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection 2014 ·Applied Soft Computing ·Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera	76
9	IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification 2014 ·IEEE Transactions on Fuzzy Systems ·Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yailé Caballero Mota, Rafael Bello, Chris Cornelis, Francisco Herrera	83
10	SMOTE-RSB : a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory breakdown → 2011 ·Knowledge and Information Systems* ·Enislay Ramentol, Yailé Caballero Mota, Rafael Bello, Francisco Herrera	354

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