Julián Luengo

12.5k total citations · 7 hit papers
80 papers, 8.7k citations indexed

About

Julián Luengo is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Julián Luengo has authored 80 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 19 papers in Information Systems and 8 papers in Signal Processing. Recurrent topics in Julián Luengo's work include Machine Learning and Data Classification (35 papers), Imbalanced Data Classification Techniques (24 papers) and Data Mining Algorithms and Applications (19 papers). Julián Luengo is often cited by papers focused on Machine Learning and Data Classification (35 papers), Imbalanced Data Classification Techniques (24 papers) and Data Mining Algorithms and Applications (19 papers). Julián Luengo collaborates with scholars based in Spain, United Kingdom and Brazil. Julián Luengo's co-authors include Francisco Herrera, Salvador García, Alberto Fernández, José A. Sáez, Jesús Alcalá‐Fdez, Luciano Sánchez, Jerzy Stefanowski, Sergio Ramírez‐Gallego, José M. Benítez and Isaac Triguero and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.

In The Last Decade

Julián Luengo

78 papers receiving 8.4k citations

Hit Papers

5 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.

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

2011 1.7k citations Jesús Alcalá‐Fdez, Alberto Fernández et al. profile →
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

2009 1.7k citations Salvador García, Alberto Fernández et al. Information Sciences profile →
Data Preprocessing in Data Mining

2014 812 citations Salvador García, Julián Luengo et al. Intelligent systems reference library profile →
A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

2008 540 citations Salvador García, Alberto Fernández et al. profile →
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

2014 471 citations José A. Sáez, Julián Luengo et al. Information Sciences profile →
Big data preprocessing: methods and prospects

2016 399 citations Salvador García, Julián Luengo et al. profile →
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

2012 327 citations Salvador García, Julián Luengo et al. profile →

Peers

Countries citing papers authored by Julián Luengo

Since Specialization

Citations

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

Fields of papers citing papers by Julián Luengo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julián Luengo

This figure shows the co-authorship network connecting the top 25 collaborators of Julián Luengo. A scholar is included among the top collaborators of Julián Luengo 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 Julián Luengo. Julián Luengo 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

#	Work	Indexed citations
1	Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites 2024 ·Applied Soft Computing ·(unknown), (unknown), Hüseyin Şeker, Julián Luengo, Javier Sedano, (unknown)	2
2	Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package 2024 ·Information Sciences ·Diego García‐Gil, (unknown), (unknown), (unknown), (unknown), Julián Luengo, Francisco Herrera	2
3	Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting 2024 ·(unknown), (unknown), Julián Luengo, Francisco Herrera	1
4	REVEL Framework to Measure Local Linear Explanations for Black‐Box Models: Deep Learning Image Classification Case Study 2023 ·International Journal of Intelligent Systems ·Iván Sevillano-García, Julián Luengo, Francisco Herrera	6
5	The impact of heterogeneous distance functions on missing data imputation and classification performance 2022 ·Engineering Applications of Artificial Intelligence ·Miriam Seoane Santos, Pedro Henriques Abreu, Alberto Fernández, Julián Luengo, João Santos	16
6	ME-MEOA/D C C : Multiobjective constrained clustering through decomposition-based memetic elitism 2021 ·Swarm and Evolutionary Computation ·(unknown), Alejandro Rosales-Pérez, Julián Luengo, José-Ramón Cano, Salvador García	5
7	Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data 2019 ·IEEE Transactions on Fuzzy Systems ·Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero	40
8	Preprocessing methodology for time series: An industrial world application case study 2019 ·Information Sciences ·(unknown), Sergio González, (unknown), Julián Luengo, Salvador García, Francisco Herrera	20
9	Smartdata: Data preprocessing to achieve smart data in R 2019 ·Neurocomputing ·(unknown), Julián Luengo, Salvador García, Francisco Herrera, Francisco Charte	13
10	Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data 2018 ·Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Isaac Triguero, Diego García‐Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera	139
11	KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining 2017 ·International Journal of Computational Intelligence Systems ·Isaac Triguero, (unknown), Jose M. Moyano, Salvador García, Jesús Alcalá‐Fdez, Julián Luengo, Alberto Fernández, María José del Jesús, Luciano Sánchez, Francisco Herrera	210
12	Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure 2015 ·Neurocomputing ·José A. Sáez, Julián Luengo, Francisco Herrera	56
13	Tutorial on practical tips of the most influential data preprocessing algorithms in data mining 2015 ·Knowledge-Based Systems ·Salvador García, Julián Luengo, Francisco Herrera	207
14	Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers 2014 ·Pattern Recognition ·José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera	29
15	Data Preprocessing in Data Mining breakdown → 2014 ·Intelligent systems reference library ·Salvador García, Julián Luengo, Francisco Herrera	812
16	A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems 2010 ·José A. Sáez, Julián Luengo, Francisco Herrera	5
17	EXCLUSIÓN SOCIAL Y EXCLUSIÓN EDUCATIVA COMO FRACASOS. CONCEPTOS Y LÍNEAS PARA SU COMPRENSIÓN E INVESTIGACIÓN 2009 ·SHILAP Revista de lepidopterología ·(unknown), Julián Luengo, (unknown)	21
18	A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method 2009 ·Neural Networks ·Julián Luengo, Salvador García, Francisco Herrera	78
19	El enfoque por competencias en el desarrollo de políticas de formación del profesorado : entrevista a Claude Lessard 2008 ·SHILAP Revista de lepidopterología ·Julián Luengo, (unknown), Mónica Torres Sánchez	7
20	El proceso de transformación de la familia tradicional y sus implicaciones educativas 2001 ·Julián Luengo, (unknown)	3

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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