Yoan Miché

5.2k citations

73 papers · 2.5k · 2 hit papers · h-index 21

Impact in

Artificial Intelligence top 0.5%
- Machine Learning and ELM
- Neural Networks and Applications
- Domain Adaptation and Few-Shot Learning
Computer Vision and Pattern Recognition top 2%
- Face and Expression Recognition

Papers in

Artificial Intelligence 63
- Machine Learning and ELM 52
- Neural Networks and Applications 28
- Domain Adaptation and Few-Shot Learning 13
- Internet Traffic Analysis and Secure E-voting 5
Computer Vision and Pattern Recognition 22
- Face and Expression Recognition 19

Co-authors: Amaury Lendasse (58 shared papers)Patrick Bas (6 shared papers)Olli Simula (5 shared papers)Mark van Heeswijk (9 shared papers)Christian Jutten (4 shared papers)Anton Akusok (22 shared papers)Kari Tammi (1 shared paper)Kaj-Mikael Björk (15 shared papers)
Journals: Neurocomputing (22 papers)Cognitive Computation (5 papers)IEEE Access (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)Computer Communications (1 paper)
Partner nations: Finland United States Spain

In The Last Decade

Yoan Miché

72 papers receiving 2.4k citations

Yoan Miché's Hit Papers

align trajectories log scale

Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery 2019 · 233 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 IEEE Access
2009 IEEE Transactions on Neural Networks

Peers

Countries citing papers authored by Yoan Miché

Since Specialization

Citations

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

Fields of papers citing papers by Yoan Miché

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yoan Miché, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yoan Miché Line = papers co-authored together Yoan Miché links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	OP-ELM: Optimally Pruned Extreme Learning Machine IEEE Transactions on Neural Networks ·Yoan Miché, A. Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse Hit paper breakdown →	2009	596
2	Prototyping a Digital Twin for Real Time Remote Control Over Mobile Networks: Application of Remote Surgery IEEE Access ·Heikki Laaki, Yoan Miché, Kari Tammi Hit paper breakdown →	2019	233
3	High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications IEEE Access ·Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse	2015	195
4	TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization Neurocomputing ·Yoan Miché, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse	2011	178
5	GPU-accelerated and parallelized ELM ensembles for large-scale regression Neurocomputing ·Mark van Heeswijk, Yoan Miché, Erkki Oja, Amaury Lendasse	2011	127
6	Bankruptcy prediction using Extreme Learning Machine and financial expertise Neurocomputing ·Qi Yu, Yoan Miché, Éric Séverin, Amaury Lendasse	2013	96
7	Regularized extreme learning machine for regression with missing data Neurocomputing ·Qi Yu, Yoan Miché, Emil Eirola, Mark van Heeswijk, Éric Séverin, Amaury Lendasse	2012	90
8	Long-term time series prediction using OP-ELM Neural Networks ·Alexander Grigorievskiy, Yoan Miché, Anne‐Mari Ventelä, Éric Séverin, Amaury Lendasse	2013	82
9	Extreme learning machine for missing data using multiple imputations Neurocomputing ·Dušan Sovilj, Emil Eirola, Yoan Miché, Kaj-Mikael Björk, Rui Nian, Anton Akusok, Amaury Lendasse	2015	81
10	Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines Journal of the Franklin Institute ·S. Antony Roshan, Yoan Miché, Anton Akusok, Amaury Lendasse	2017	64
11	Feature selection for nonlinear models with extreme learning machines Neurocomputing ·Benoît Frénay‬, Mark van Heeswijk, Yoan Miché, Michel Verleysen, Amaury Lendasse	2012	60
12	A methodology for Building Regression Models using Extreme Learning Machine: OP-ELM The European Symposium on Artificial Neural Networks ·Yoan Miché, Patrick Bas, Christian Jutten, Olli Simula, Amaury Lendasse	2008	48
13	Anomaly-Based Intrusion Detection Using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space Cognitive Computation ·Buse Gul Atli, Yoan Miché, Aapo Kalliola, Ian Oliver, Silke Holtmanns, Amaury Lendasse	2018	47
14	Fast Face Recognition Via Sparse Coding and Extreme Learning Machine Cognitive Computation ·Bo He, Dongxun Xu, Rui Nian, Mark van Heeswijk, Qi Yu, Yoan Miché, Amaury Lendasse	2013	46
15	Minimal Learning Machine: A novel supervised distance-based approach for regression and classification Neurocomputing ·Amauri H. Souza, Francesco Corona, Guilherme A. Barreto, Yoan Miché, Amaury Lendasse	2015	45
16	Extreme learning machine towards dynamic model hypothesis in fish ethology research Neurocomputing ·Rui Nian, Bo He, Bing Zheng, Mark van Heeswijk, Qi Yu, Yoan Miché, Amaury Lendasse	2013	42
17	Ensemble delta test-extreme learning machine (DT-ELM) for regression Neurocomputing ·Qi Yu, Mark van Heeswijk, Yoan Miché, Rui Nian, Bo He, Éric Séverin, Amaury Lendasse	2013	32
18	Binary/ternary extreme learning machines Neurocomputing ·Mark van Heeswijk, Yoan Miché	2014	31
19	A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification Cognitive Computation ·Anton Akusok, Yoan Miché, József Hegedüs, Rui Nian, Amaury Lendasse	2014	29
20	Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes 2015 IEEE Trustcom/BigDataSE/ISPA ·Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen	2015	25

About Yoan Miché

Yoan Miché is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Electrical and Electronic Engineering and Cancer Research, having authored 73 papers that have together received 2.5k indexed citations. Recurring topics across this work include Machine Learning and ELM (52 papers), Neural Networks and Applications (28 papers), Face and Expression Recognition (19 papers), Domain Adaptation and Few-Shot Learning (13 papers), Network Security and Intrusion Detection (7 papers), Advanced Memory and Neural Computing (6 papers), MicroRNA in disease regulation (5 papers) and Internet Traffic Analysis and Secure E-voting (5 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Computer Vision and Pattern Recognition (453 citations), Industrial and Manufacturing Engineering (160 citations), Computer Networks and Communications (320 citations) and Signal Processing (146 citations). Yoan Miché has collaborated with scholars based in Finland, United States and Spain. Frequent co-authors include Amaury Lendasse, Patrick Bas, Olli Simula, Mark van Heeswijk, Christian Jutten, Anton Akusok, Kari Tammi, Kaj-Mikael Björk, Éric Séverin and Qi Yu. Their work appears in journals such as Neurocomputing, Cognitive Computation, IEEE Access, International Journal of Machine Learning and Cybernetics and Computer Communications.

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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Yoan Miché

Yoan Miché's Hit Papers

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About Yoan Miché

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