Yann‐Aël Le Borgne

2.5k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Yann‐Aël Le Borgne is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Yann‐Aël Le Borgne has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 10 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yann‐Aël Le Borgne's work include Energy Efficient Wireless Sensor Networks (10 papers), Imbalanced Data Classification Techniques (7 papers) and Advanced Chemical Sensor Technologies (3 papers). Yann‐Aël Le Borgne is often cited by papers focused on Energy Efficient Wireless Sensor Networks (10 papers), Imbalanced Data Classification Techniques (7 papers) and Advanced Chemical Sensor Technologies (3 papers). Yann‐Aël Le Borgne collaborates with scholars based in Belgium, France and Netherlands. Yann‐Aël Le Borgne's co-authors include Gianluca Bontempi, Olivier Caelen, Fabrizio Carcillo, Andrea Dal Pozzolo, Frédéric Oblé, Yacine Kessaci, Silvia Santini, Bertrand Lebichot, Ann Nowé and Liyun He-Guelton and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Yann‐Aël Le Borgne

26 papers receiving 1.1k 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.

Learned lessons in credit card fraud detection from a practitioner perspective

2014 294 citations Andrea Dal Pozzolo, Olivier Caelen et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yann‐Aël Le Borgne Belgium	12	787	285	192	186	177	26	1.1k
Andrea Dal Pozzolo Belgium	7	1.1k 1.4×	369 1.3×	180 0.9×	108 0.6×	227 1.3×	9	1.2k
Adebayọ Olusọla Adetunmbi Nigeria	11	685 0.9×	133 0.5×	73 0.4×	291 1.6×	317 1.8×	46	1.0k
Joffrey L. Leevy United States	16	859 1.1×	105 0.4×	156 0.8×	412 2.2×	117 0.7×	42	1.2k
Chris Drummond Canada	11	946 1.2×	88 0.3×	148 0.8×	82 0.4×	334 1.9×	24	1.4k
Julio López Chile	17	708 0.9×	125 0.4×	94 0.5×	60 0.3×	101 0.6×	54	1.2k
Sara del Río Spain	11	864 1.1×	73 0.3×	170 0.9×	89 0.5×	316 1.8×	13	1.1k
Mohand-Saïd Hacid France	12	473 0.6×	87 0.3×	56 0.3×	121 0.7×	261 1.5×	55	898
Rafael M. O. Cruz Canada	15	840 1.1×	59 0.2×	104 0.5×	56 0.3×	143 0.8×	52	1.2k
Md. Monirul Islam India	5	706 0.9×	94 0.3×	304 1.6×	36 0.2×	96 0.5×	13	861
Qinbao Song China	20	1.1k 1.4×	48 0.2×	143 0.7×	196 1.1×	320 1.8×	53	1.7k

Countries citing papers authored by Yann‐Aël Le Borgne

Since Specialization

Citations

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

Fields of papers citing papers by Yann‐Aël Le Borgne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yann‐Aël Le Borgne. 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 Yann‐Aël Le Borgne. The network helps show where Yann‐Aël Le Borgne may publish in the future.

Co-authorship network of co-authors of Yann‐Aël Le Borgne

This figure shows the co-authorship network connecting the top 25 collaborators of Yann‐Aël Le Borgne. A scholar is included among the top collaborators of Yann‐Aël Le Borgne 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 Yann‐Aël Le Borgne. Yann‐Aël Le Borgne 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

Lebichot, Bertrand, et al.. (2022). The role of diversity and ensemble learning in credit card fraud detection. Advances in Data Analysis and Classification. 18(1). 193–217. 13 indexed citations

Lebichot, Bertrand, et al.. (2021). Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access. 9. 114754–114766. 16 indexed citations

Borgne, Yann‐Aël Le, et al.. (2020). MOBI-AID: A Big Data Platform for Real-Time Analysis of On Board Unit Data.. EDBT/ICDT Workshops. 1 indexed citations

Borgne, Yann‐Aël Le, et al.. (2020). On-Board Unit Big Data: Short-term Traffic Forecasting in Urban Transportation Networks. 2 indexed citations

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, et al.. (2019). Combining unsupervised and supervised learning in credit card fraud detection. Information Sciences. 557. 317–331. 266 indexed citations

Borgne, Yann‐Aël Le, et al.. (2018). Batch and incremental dynamic factor machine learning for multivariate and multi-step-ahead forecasting. International Journal of Data Science and Analytics. 7(4). 311–329. 13 indexed citations

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, & Gianluca Bontempi. (2018). Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization. International Journal of Data Science and Analytics. 5(4). 285–300. 75 indexed citations

Bontempi, Gianluca, et al.. (2017). A Dynamic Factor Machine Learning Method for Multi-variate and Multi-step-Ahead Forecasting. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 222–231. 7 indexed citations

Carcillo, Fabrizio, Yann‐Aël Le Borgne, Olivier Caelen, & Gianluca Bontempi. (2017). An Assessment of Streaming Active Learning Strategies for Real-Life Credit Card Fraud Detection. 631–639. 14 indexed citations

10.

Carcillo, Fabrizio, et al.. (2017). SCARFF : A scalable framework for streaming credit card fraud detection with spark. Information Fusion. 41. 182–194. 146 indexed citations

11.

Pozzolo, Andrea Dal, et al.. (2014). Learned lessons in credit card fraud detection from a practitioner perspective. Expert Systems with Applications. 41(10). 4915–4928. 294 indexed citations breakdown →

12.

Jan, Serge Van Sint, Vanessa Wermenbol, Patrick Van Bogaert, et al.. (2013). Une plate-forme technologique liée à la paralysie cérébrale. médecine/sciences. 29(5). 529–536. 15 indexed citations

13.

Mihaylov, Mihail, Yann‐Aël Le Borgne, Karl Tuyls, & Ann Nowé. (2011). Distributed cooperation in wireless sensor networks. Adaptive Agents and Multi-Agents Systems. 249–256. 7 indexed citations

14.

Borgne, Yann‐Aël Le, et al.. (2010). Lifetime optimization for wireless sensor networks with correlated data gathering. HAL (Le Centre pour la Communication Scientifique Directe). 266–272. 2 indexed citations

15.

Borgne, Yann‐Aël Le, et al.. (2010). Lifetime optimization for sensor networks with correlated data gathering. 4. 69–72. 1 indexed citations

16.

Borgne, Yann‐Aël Le, et al.. (2010). Distributed regression for high-level feature extraction in wireless sensor networks. 249–252. 1 indexed citations

17.

Borgne, Yann‐Aël Le, et al.. (2009). Learning in wireless sensor networks for energy-efficient environmental monitoring. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

18.

Borgne, Yann‐Aël Le, et al.. (2008). A modular framework for user localization and tracking using machine learning techniques in wireless sensor networks. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 indexed citations

19.

Borgne, Yann‐Aël Le, Silvia Santini, & Gianluca Bontempi. (2007). Adaptive model selection for time series prediction in wireless sensor networks. Signal Processing. 87(12). 3010–3020. 109 indexed citations

20.

Borgne, Yann‐Aël Le & Gianluca Bontempi. (2007). Unsupervised and supervised compression with principal component analysis in wireless sensor networks. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 10 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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