Aku Seppänen

2.6k total citations
81 papers, 2.0k citations indexed

About

Aku Seppänen is a scholar working on Electrical and Electronic Engineering, Geophysics and Mechanics of Materials. According to data from OpenAlex, Aku Seppänen has authored 81 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Electrical and Electronic Engineering, 31 papers in Geophysics and 29 papers in Mechanics of Materials. Recurrent topics in Aku Seppänen's work include Electrical and Bioimpedance Tomography (59 papers), Geophysical and Geoelectrical Methods (31 papers) and Flow Measurement and Analysis (29 papers). Aku Seppänen is often cited by papers focused on Electrical and Bioimpedance Tomography (59 papers), Geophysical and Geoelectrical Methods (31 papers) and Flow Measurement and Analysis (29 papers). Aku Seppänen collaborates with scholars based in Finland, United States and New Zealand. Aku Seppänen's co-authors include Mohammad Pour‐Ghaz, Jari P. Kaipio, Milad Hallaji, Marko Vauhkonen, Ville Kolehmainen, Danny Smyl, Paulo J.M. Monteiro, Erkki Somersalo, Samuli Siltanen and Dong Liu and has published in prestigious journals such as Chemical Engineering Journal, Cement and Concrete Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Aku Seppänen

79 papers receiving 1.9k citations

Peers

Aku Seppänen

EEE

GEOPH

Xavier Dérobert France

Eduardo Kausel United States

José M. Roësset United States

Feng Jin China

Jinying Zhu United States

Gao Lin China

Jun Zheng China

Huajun Li China

Fabio Tosti United Kingdom

Xavier Dérobert France

Aku Seppänen

186 ×0.1

EEE

369 ×0.6

667 ×1.2

GEOPH

295 ×0.6

437 ×1.3

Citations per year, relative to Aku Seppänen Aku Seppänen (= 1×) peers Xavier Dérobert

Countries citing papers authored by Aku Seppänen

Since Specialization

Citations

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

Fields of papers citing papers by Aku Seppänen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aku Seppänen

This figure shows the co-authorship network connecting the top 25 collaborators of Aku Seppänen. A scholar is included among the top collaborators of Aku Seppänen 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 Aku Seppänen. Aku Seppänen 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

Seppänen, Aku, et al.. (2025). Reconstruction of admittivity distribution without phase measurements in multi-frequency electrical impedance tomography (MFEIT). Measurement Science and Technology. 36(3). 35411–35411.

Niskanen, Matti, Aku Seppänen, Miska Olin, et al.. (2025). Accounting for effects of coagulation and model uncertainties in particle number concentration estimates based on measurements from sampling lines – a Bayesian inversion approach with SLIC v1.0. Geoscientific model development. 18(10). 2983–3001. 1 indexed citations

Jauhiainen, J., et al.. (2024). Kuopio tomography challenge 2023 – electrical impedance tomography competition and open dataset. 2(2). 93–118. 2 indexed citations

Lehtinen, K. E. J., et al.. (2023). Application of the finite element method to the multicomponent general dynamic equation of aerosols. Journal of Aerosol Science. 174. 106260–106260. 1 indexed citations

Seppänen, Aku, et al.. (2023). Dual-Modal Electrical Imaging of Two-Phase Flow—Experimental Evaluation of the State Estimation Approach. Sensors. 23(9). 4462–4462. 4 indexed citations

Seppänen, Aku, et al.. (2023). State estimation approach to dual-modal imaging of two-phase flow based on electromagnetic flow tomography and electrical tomography. Inverse Problems. 39(8). 84003–84003. 4 indexed citations

Dalton, Laura E., et al.. (2023). Investigating the use of electrical capacitance tomography to image rapid transient moisture flow through cracks in concrete. Cement and Concrete Composites. 140. 105070–105070. 6 indexed citations

Seppänen, Aku, et al.. (2023). Improvements in Maturity and Stability of 3D iPSC-Derived Hepatocyte-like Cell Cultures. Cells. 12(19). 2368–2368. 7 indexed citations

Seppänen, Aku, et al.. (2021). Joint Reconstruction of Conductivity and Velocity in Two-Phase Flows Using Electromagnetic Flow Tomography and Electrical Tomography: A Simulation Study. IEEE Transactions on Instrumentation and Measurement. 70. 1–17. 14 indexed citations

10.

Lehtinen, K. E. J., et al.. (2021). Application of finite element method to General Dynamic Equation of Aerosols – Comparison with classical numerical approximations. Journal of Aerosol Science. 160. 105902–105902. 5 indexed citations

11.

Seppänen, Aku, et al.. (2021). Retrieval of process rate parameters in the general dynamic equation for aerosols using Bayesian state estimation: BAYROSOL1.0. Geoscientific model development. 14(6). 3715–3739. 10 indexed citations

12.

Stolzenburg, Dominik, et al.. (2021). Aerosol formation and growth rates from chamber experiments using Kalman smoothing. Atmospheric chemistry and physics. 21(16). 12595–12611. 9 indexed citations

13.

Seppänen, Aku, et al.. (2018). Electrical Resistance Tomography–Based Sensing Skin with Internal Electrodes for Crack Detection in Large Structures. Materials Evaluation. 76(10). 1405–1413. 9 indexed citations

14.

Seppänen, Aku, et al.. (2018). Electrical Resistance Tomography Based Sensing Skin with Internal Electrodes for Crack Detection in Large Structures: Preliminary Results Standard Difference Imaging Study. 170–181. 3 indexed citations

15.

Liu, Dong, et al.. (2018). A Parametric Level set Method for Imaging Multiphase Conductivity Using Electrical Impedance Tomography. IEEE Transactions on Computational Imaging. 4(4). 552–561. 46 indexed citations

16.

González, Gerardo, Ville Kolehmainen, & Aku Seppänen. (2017). Isotropic and anisotropic total variation regularization in electrical impedance tomography. Computers & Mathematics with Applications. 74(3). 564–576. 63 indexed citations

17.

González, Gerardo, Janne M. J. Huttunen, Ville Kolehmainen, Aku Seppänen, & Marko Vauhkonen. (2015). Experimental evaluation of 3D electrical impedance tomography with total variation prior. Inverse Problems in Science and Engineering. 24(8). 1411–1431. 46 indexed citations

18.

Tarvainen, Tanja, et al.. (2015). Nonlinear approach to difference imaging in diffuse optical tomography. Journal of Biomedical Optics. 20(10). 105001–105001. 10 indexed citations

19.

Kluth, Tobias, Antti Lipponen, Bangti Jin, et al.. (2011). Sparsity reconstruction in electrical impedance tomography: An experimental evaluation. Journal of Computational and Applied Mathematics. 236(8). 2126–2136. 73 indexed citations

20.

Kaipio, Jari P., Aku Seppänen, Arto Voutilainen, & Heikki Haario. (2007). Optimal current patterns in dynamical electrical impedance tomography imaging. Inverse Problems. 23(3). 1201–1214. 23 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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