Yoan Miché

4.6k citations

97 papers · 3.8k · 3 hit papers · h-index 24

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 1%
- Face and Expression Recognition

Papers in

Artificial Intelligence 82
- Machine Learning and ELM 61
- Neural Networks and Applications 37
- Domain Adaptation and Few-Shot Learning 17
- Internet Traffic Analysis and Secure E-voting 6
Computer Vision and Pattern Recognition 31
- Face and Expression Recognition 23
- Advanced Steganography and Watermarking Techniques 6

Co-authors: Amaury Lendasse (77 shared papers)Patrick Bas (10 shared papers)Olli Simula (10 shared papers)Mark van Heeswijk (11 shared papers)Christian Jutten (5 shared papers)Anton Akusok (30 shared papers)Kari Tammi (1 shared paper)Kaj-Mikael Björk (22 shared papers)
Journals: Neurocomputing (22 papers)Cognitive Computation (5 papers)IEEE Intelligent Systems (2 papers)IEEE Access (2 papers)Lecture notes in computer science (14 papers)
Partner nations: Finland United States France

In The Last Decade

Yoan Miché

95 papers receiving 3.7k 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 · 290 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2019 IEEE Access
2013 IEEE Intelligent Systems
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 97 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	666
2	Extreme Learning Machines [Trends & Controversies] IEEE Intelligent Systems ·Erik Cambria, Guang-Bin Huang, Hongming Zhou, Chi‐Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu Hit paper breakdown →	2013	642
3	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	290
4	High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications IEEE Access ·Anton Akusok, Kaj-Mikael Björk, Yoan Miché, Amaury Lendasse	2015	223
5	TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization Neurocomputing ·Yoan Miché, Mark van Heeswijk, Patrick Bas, Olli Simula, Amaury Lendasse	2011	197
6	GPU-accelerated and parallelized ELM ensembles for large-scale regression Neurocomputing ·Mark van Heeswijk, Yoan Miché, Erkki Oja, Amaury Lendasse	2011	143
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	106
8	Bankruptcy prediction using Extreme Learning Machine and financial expertise Neurocomputing ·Qi Yu, Yoan Miché, Éric Séverin, Amaury Lendasse	2013	106
9	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction Lecture notes in computer science ·Mark van Heeswijk, Yoan Miché, Tiina Lindh‐Knuutila, P.A.J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse	2009	93
10	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	93
11	Long-term time series prediction using OP-ELM Neural Networks ·Alexander Grigorievskiy, Yoan Miché, Anne‐Mari Ventelä, Éric Séverin, Amaury Lendasse	2013	90
12	OP-ELM: Theory, Experiments and a Toolbox Lecture notes in computer science ·Yoan Miché, Antti Sorjamaa, Amaury Lendasse	2008	81
13	Feature selection for nonlinear models with extreme learning machines Neurocomputing ·Benoît Frénay‬, Mark van Heeswijk, Yoan Miché, Michel Verleysen, Amaury Lendasse	2012	72
14	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	71
15	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	56
16	Minimal Learning Machine: A novel supervised distance-based approach for regression and classification Neurocomputing ·Amauri Holanda de Souza Junior, Francesco Corona, Guilherme A. Barreto, Yoan Miché, Amaury Lendasse	2015	54
17	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	51
18	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	48
19	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	46
20	Binary/ternary extreme learning machines Neurocomputing ·Mark van Heeswijk, Yoan Miché	2014	33

About Yoan Miché

Yoan Miché is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Cancer Research and Signal Processing, having authored 97 papers that have together received 3.8k indexed citations. Recurring topics across this work include Machine Learning and ELM (61 papers), Neural Networks and Applications (37 papers), Face and Expression Recognition (23 papers), Domain Adaptation and Few-Shot Learning (17 papers), Advanced Memory and Neural Computing (8 papers), Network Security and Intrusion Detection (8 papers), Internet Traffic Analysis and Secure E-voting (6 papers) and Advanced Steganography and Watermarking Techniques (6 papers). The work is most often cited by research in Artificial Intelligence (2.8k citations), Computer Vision and Pattern Recognition (801 citations), Industrial and Manufacturing Engineering (227 citations), Signal Processing (194 citations) and Computer Networks and Communications (391 citations). Yoan Miché has collaborated with scholars based in Finland, United States and France. 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 Intelligent Systems, IEEE Access and Lecture notes in computer science.

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

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Yoan Miché

Yoan Miché's Hit Papers

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Fields of papers citing papers by Yoan Miché

All Works

About Yoan Miché

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