Anton Akusok

2.2k total citations
24 papers, 467 citations indexed

About

Anton Akusok is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Anton Akusok has authored 24 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Anton Akusok's work include Machine Learning and ELM (20 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Face and Expression Recognition (8 papers). Anton Akusok is often cited by papers focused on Machine Learning and ELM (20 papers), Domain Adaptation and Few-Shot Learning (10 papers) and Face and Expression Recognition (8 papers). Anton Akusok collaborates with scholars based in Finland, United States and China. Anton Akusok's co-authors include Yoan Miché, Amaury Lendasse, Kaj-Mikael Björk, Rui Nian, Emil Eirola, Dušan Sovilj, József Hegedüs, Éric Séverin, David Veganzones and Maite Termenón and has published in prestigious journals such as IEEE Access, Neurocomputing and Journal of the Franklin Institute.

In The Last Decade

Anton Akusok

22 papers receiving 451 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anton Akusok Finland	8	322	90	81	79	39	24	467
Nailah Al–Madi Jordan	11	312 1.0×	69 0.8×	62 0.8×	80 1.0×	44 1.1×	26	548
Muhammad Kashif Hanif Pakistan	9	206 0.6×	64 0.7×	67 0.8×	113 1.4×	31 0.8×	27	524
Habib Dhahri Saudi Arabia	17	383 1.2×	77 0.9×	94 1.2×	97 1.2×	55 1.4×	46	675
Lipo Wang Singapore	12	268 0.8×	64 0.7×	53 0.7×	117 1.5×	48 1.2×	14	499
Rakesh Katuwal Singapore	9	368 1.1×	99 1.1×	29 0.4×	162 2.1×	42 1.1×	10	590
Shawkat Ali Australia	9	298 0.9×	54 0.6×	64 0.8×	87 1.1×	45 1.2×	25	549
Yangguang Liu China	11	220 0.7×	47 0.5×	43 0.5×	96 1.2×	30 0.8×	52	468
Talari Ganesh India	7	430 1.3×	66 0.7×	50 0.6×	99 1.3×	68 1.7×	37	696
Paulo Martins Engel Brazil	11	207 0.6×	50 0.6×	62 0.8×	167 2.1×	83 2.1×	52	500

Countries citing papers authored by Anton Akusok

Since Specialization

Citations

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

Fields of papers citing papers by Anton Akusok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anton Akusok

This figure shows the co-authorship network connecting the top 25 collaborators of Anton Akusok. A scholar is included among the top collaborators of Anton Akusok 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 Anton Akusok. Anton Akusok is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Akusok, Anton, Leonardo Espinosa-Leal, & Kaj-Mikael Björk. (2024). Sharing non-reversible data statistics for fast and secure Federated learning native to Extreme Learning Machine. 674–675.

Akusok, Anton, et al.. (2019). Spiking networks for improved cognitive abilities of edge computing devices. 307–308. 3 indexed citations

Johnson, Hans J., Emil Eirola, Anton Akusok, et al.. (2018). ELM-SOM: A Continuous Self-Organizing Map for Visualization. 1–8. 6 indexed citations

Akusok, Anton, Emil Eirola, Yoan Miché, Andrey Gritsenko, & Amaury Lendasse. (2017). Advanced query strategies for Active Learning with Extreme Learning Machines.. The European Symposium on Artificial Neural Networks. 1 indexed citations

Gritsenko, Andrey, Anton Akusok, Stephen Baek, Yoan Miché, & Amaury Lendasse. (2017). Extreme Learning Machines for VISualization+R: Mastering Visualization with Target Variables. Cognitive Computation. 10(3). 464–477. 3 indexed citations

Miché, Yoan, et al.. (2017). Adaptive and online network intrusion detection system using clustering and Extreme Learning Machines. Journal of the Franklin Institute. 355(4). 1752–1779. 64 indexed citations

Akusok, Anton, Emil Eirola, Kaj-Mikael Björk, et al.. (2017). Brute-force Missing Data Extreme Learning Machine for Predicting Huntington's Disease. 189–192. 3 indexed citations

Akusok, Anton, et al.. (2016). ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines. Neurocomputing. 205. 247–263. 13 indexed citations

Gritsenko, Andrey, Anton Akusok, Yoan Miché, et al.. (2016). Combined nonlinear visualization and classification: ELMVIS++C. 11. 2617–2624. 1 indexed citations

10.

Akusok, Anton, Andrey Gritsenko, Yoan Miché, et al.. (2016). Adding reliability to ELM forecasts by confidence intervals. Neurocomputing. 219. 232–241. 5 indexed citations

11.

Akusok, Anton, David Veganzones, Yoan Miché, et al.. (2015). MD-ELM: Originally Mislabeled Samples Detection using OP-ELM Model. Neurocomputing. 159. 242–250. 5 indexed citations

12.

Sovilj, Dušan, Emil Eirola, Yoan Miché, et al.. (2015). Extreme learning machine for missing data using multiple imputations. Neurocomputing. 174. 220–231. 81 indexed citations

13.

Termenón, Maite, Manuel Graña, Alexandre Savio, et al.. (2015). Brain MRI morphological patterns extraction tool based on Extreme Learning Machine and majority vote classification. Neurocomputing. 174. 344–351. 14 indexed citations

14.

Miché, Yoan, Anton Akusok, David Veganzones, et al.. (2015). SOM-ELM—Self-Organized Clustering using ELM. Neurocomputing. 165. 238–254. 15 indexed citations

15.

Akusok, Anton, Kaj-Mikael Björk, Yoan Miché, & Amaury Lendasse. (2015). High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications. IEEE Access. 3. 1011–1025. 195 indexed citations

16.

Akusok, Anton, David Veganzones, Kaj-Mikael Björk, et al.. (2014). ELM Clustering – Application to Bankruptcy Prediction. 2 indexed citations

17.

Akusok, Anton, David Veganzones, Yoan Miché, Éric Séverin, & Amaury Lendasse. (2014). Finding Originally Mislabels with MD-ELM. The European Symposium on Artificial Neural Networks. 5 indexed citations

18.

Akusok, Anton, Yoan Miché, József Hegedüs, Rui Nian, & Amaury Lendasse. (2014). A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification. Cognitive Computation. 6(3). 432–445. 29 indexed citations

19.

Akusok, Anton, Amaury Lendasse, Francesco Corona, Rui Nian, & Yoan Miché. (2013). ELMVIS: A nonlinear visualization technique using random permutations and ELMs. IEEE Intelligent Systems. 28(6). 41–46. 1 indexed citations

20.

Akusok, Anton, et al.. (2013). Image-based Classification of Websites. 1 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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