Leandro L. Minku

6.1k total citations · 1 hit paper
121 papers, 4.0k citations indexed

About

Leandro L. Minku is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Leandro L. Minku has authored 121 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Artificial Intelligence, 52 papers in Information Systems and 31 papers in Software. Recurrent topics in Leandro L. Minku's work include Software Engineering Research (43 papers), Data Stream Mining Techniques (38 papers) and Software Reliability and Analysis Research (30 papers). Leandro L. Minku is often cited by papers focused on Software Engineering Research (43 papers), Data Stream Mining Techniques (38 papers) and Software Reliability and Analysis Research (30 papers). Leandro L. Minku collaborates with scholars based in United Kingdom, China and Brazil. Leandro L. Minku's co-authors include Xin Yao, Shuo Wang, João Gama, Jerzy Stefanowski, Michał Woźniak, Bartosz Krawczyk, A. P. White, Shuo Wang, Liyan Song and Ke Tang and has published in prestigious journals such as European Journal of Operational Research, Information Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Leandro L. Minku

117 papers receiving 3.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Ensemble learning for data stream analysis: A survey

2017 694 citations Bartosz Krawczyk, Leandro L. Minku et al. Information Fusion profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leandro L. Minku United Kingdom	30	2.7k	1.1k	702	695	409	121	4.0k
Jianjun Zhao China	32	1.9k 0.7×	1.8k 1.6×	1.6k 2.2×	539 0.8×	75 0.2×	231	3.9k
Gábor Karsai United States	34	2.0k 0.8×	1.4k 1.3×	2.1k 2.9×	1.4k 2.1×	366 0.9×	301	5.3k
Jin Song Dong Singapore	24	1.1k 0.4×	888 0.8×	494 0.7×	621 0.9×	71 0.2×	216	2.9k
Kamal Z. Zamli Malaysia	30	773 0.3×	671 0.6×	1.1k 1.6×	468 0.7×	82 0.2×	171	2.6k
Slim Bechikh Tunisia	24	1.1k 0.4×	644 0.6×	462 0.7×	235 0.3×	206 0.5×	79	2.2k
Zhiqiu Huang China	23	749 0.3×	999 0.9×	367 0.5×	424 0.6×	85 0.2×	241	2.1k
Gul Agha United States	35	2.3k 0.8×	1.7k 1.5×	1.8k 2.5×	3.5k 5.0×	273 0.7×	214	7.4k
Adriano L. I. Oliveira Brazil	23	892 0.3×	636 0.6×	436 0.6×	226 0.3×	625 1.5×	120	2.3k
Lei Ma Japan	32	2.2k 0.8×	1.0k 0.9×	1.2k 1.7×	426 0.6×	45 0.1×	148	3.7k
Salwani Abdullah Malaysia	34	1.7k 0.6×	488 0.4×	95 0.1×	616 0.9×	664 1.6×	146	3.3k

Countries citing papers authored by Leandro L. Minku

Since Specialization

Citations

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

Fields of papers citing papers by Leandro L. Minku

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro L. Minku. 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 Leandro L. Minku. The network helps show where Leandro L. Minku may publish in the future.

Co-authorship network of co-authors of Leandro L. Minku

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro L. Minku. A scholar is included among the top collaborators of Leandro L. Minku 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 Leandro L. Minku. Leandro L. Minku 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

Soares, Rodrigo G. F. & Leandro L. Minku. (2025). Online ensemble model compression for nonstationary data stream learning. Neural Networks. 185. 107151–107151.

Ruan, Gan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, & Xin Yao. (2024). Knowledge Transfer for Dynamic Multi-Objective Optimization With a Changing Number of Objectives. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(6). 4210–4224. 2 indexed citations

Ruan, Gan, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, & Xin Yao. (2024). Learning to Expand/Contract Pareto Sets in Dynamic Multiobjective Optimization With a Changing Number of Objectives. IEEE Transactions on Evolutionary Computation. 29(4). 865–879. 3 indexed citations

Song, Liyan, Leandro L. Minku, & Xin Yao. (2023). On the validity of retrospective predictive performance evaluation procedures in just-in-time software defect prediction. Empirical Software Engineering. 28(5). 6 indexed citations

Minku, Leandro L., et al.. (2023). An investigation of online and offline learning models for online Just-in-Time Software Defect Prediction. Empirical Software Engineering. 28(5). 8 indexed citations

Karwath, Andreas, et al.. (2022). Artificial intelligence in the management and treatment of burns: A systematic review and meta-analyses. Journal of Plastic Reconstructive & Aesthetic Surgery. 77. 133–161. 12 indexed citations

Tabassum, Sadia, et al.. (2022). Cross-Project Online Just-In-Time Software Defect Prediction. IEEE Transactions on Software Engineering. 49(1). 268–287. 21 indexed citations

Minku, Leandro L., et al.. (2021). Exploiting Linear Interpolation of Variational Autoencoders for Satisfying Preferences in Evolutionary Design Optimization. University of Birmingham Research Portal (University of Birmingham). 1767–1776. 2 indexed citations

Brzeziński, Dariusz, et al.. (2021). The impact of data difficulty factors on classification of imbalanced and concept drifting data streams. Knowledge and Information Systems. 63(6). 1429–1469. 35 indexed citations

10.

Minku, Leandro L., et al.. (2020). A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space. IEEE Transactions on Neural Networks and Learning Systems. 33(3). 1299–1309. 30 indexed citations

11.

Dallora, Ana Luiza, Leandro L. Minku, Emília Mendes, et al.. (2020). Multifactorial 10-Year Prior Diagnosis Prediction Model of Dementia. International Journal of Environmental Research and Public Health. 17(18). 6674–6674. 12 indexed citations

12.

Menzel, Stefan, et al.. (2020). Quantifying The Generative Capabilities Of Variational Autoencoders For 3D Car Point Clouds. University of Birmingham Research Portal (University of Birmingham). 1469–1477. 14 indexed citations

13.

Krawczyk, Bartosz, Leandro L. Minku, João Gama, Jerzy Stefanowski, & Michał Woźniak. (2017). Ensemble learning for data stream analysis: A survey. Information Fusion. 37. 132–156. 694 indexed citations breakdown →

14.

Deursen, Arie van, et al.. (2017). Effort and Cost in Software Engineering. Leicester Research Archive (University of Leicester). 51–60. 8 indexed citations

15.

Wang, Shuo, Leandro L. Minku, & Xin Yao. (2016). Dealing with multiple classes in online class imbalance learning. Leicester Research Archive (University of Leicester). 2118–2124. 34 indexed citations

16.

Turhan, Burak, Ayşe Bener, Çetin Meriçli, Andriy Miranskyy, & Leandro L. Minku. (2014). Proceedings of the Fourth International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering. International Conference on Software Engineering. 2 indexed citations

17.

Wang, Shuo, et al.. (2013). Concept drift detection for online class imbalance learning. University of Birmingham Research Portal (University of Birmingham). 1–10. 61 indexed citations

18.

Song, Liyan, Leandro L. Minku, & Xin Yao. (2013). The impact of parameter tuning on software effort estimation using learning machines. University of Birmingham Research Portal (University of Birmingham). 1–10. 63 indexed citations

19.

Menzies, Tim, Ekrem Kocagüneli, Fayola Peters, Burak Turhan, & Leandro L. Minku. (2013). Data science for software engineering. International Conference on Software Engineering. 1484–1486. 2 indexed citations

20.

Minku, Leandro L., et al.. (2007). Negative correlation in incremental learning. Natural Computing. 8(2). 289–320. 24 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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