| Augmented ultrasonic data for machine learning I Virkkunen, T Koskinen, O Jessen-Juhler, J Rinta-Aho Journal of Nondestructive Evaluation 40 (1), 4, 2021 | 107 | 2021 |
| Selective laser melting of duplex stainless steel 2205: effect of post-processing heat treatment on microstructure, mechanical properties, and corrosion resistance S Papula, M Song, A Pateras, XB Chen, M Brandt, M Easton, ... Materials 12 (15), 2468, 2019 | 104 | 2019 |
| Crack characteristics and their importance to NDE M Kemppainen, I Virkkunen Journal of Nondestructive Evaluation 30, 143-157, 2011 | 58 | 2011 |
| Dissimilar metal weld joints and their performance in nuclear power plant and oil refinery conditions H Hanninen, P Aaltonen, A Brederholm, U Ehrnstén, H Gripenberg, ... VTT TIEDOTTEITA 2347, 208, 2006 | 58 | 2006 |
| Automated flaw detection in multi-channel phased array ultrasonic data using machine learning O Siljama, T Koskinen, O Jessen-Juhler, I Virkkunen Journal of Nondestructive Evaluation 40 (3), 67, 2021 | 38 | 2021 |
| Automated defect detection in digital radiography of aerospace welds using deep learning T Tyystjärvi, I Virkkunen, P Fridolf, A Rosell, Z Barsoum Welding in the World 66 (4), 643-671, 2022 | 37 | 2022 |
| Advanced flaw production method for in-service inspection qualification mock-ups M Kemppainen, I Virkkunen, J Pitkänen, R Paussu, H Hänninen Nuclear Engineering and Design 224 (1), 105-117, 2003 | 37 | 2003 |
| Comparison of â versus a and Hit/Miss POD-Estimation methods: A European viewpoint I Virkkunen, T Koskinen, S Papula, T Sarikka, H Hänninen Journal of Nondestructive Evaluation 38, 1-13, 2019 | 35 | 2019 |
| Strain hardening of cold-rolled lean-alloyed metastable ferritic-austenitic stainless steels S Papula, S Anttila, J Talonen, T Sarikka, I Virkkunen, H Hänninen Materials Science and Engineering: A 677, 11-19, 2016 | 35 | 2016 |
| Thermal fatigue of austenitic and duplex stainless steels I Virkkunen Helsinki University of Technology, 2001 | 35 | 2001 |
| Discussion on modeling of thermal fatigue cracks in numerical simulation based on eddy current signals J Wang, N Yusa, H Pan, M Kemppainen, I Virkkunen, H Hashizume Ndt & E International 55, 96-101, 2013 | 22 | 2013 |
| Virtual flaws for nde training and qualification I Virkkunen, K Miettinen, T Packalen European Conference on Non-Destructive Testing, 2014 | 20 | 2014 |
| Surface modification of additively manufactured 18% nickel maraging steel by ultrasonic vibration-assisted ball burnishing IF Ituarte, M Salmi, S Papula, J Huuki, B Hemming, E Coatanea, S Nurmi, ... Journal of Manufacturing Science and Engineering 142 (7), 071008, 2020 | 19 | 2020 |
| Grown cracks for NDT development and qualification I Virkkunen, M Kempainen, H Ostermeyer, R Paussu, T Dunhill Insight-Non-Destructive Testing and Condition Monitoring 51 (5), 271-278, 2009 | 19 | 2009 |
| NDE 4.0: new paradigm for the NDE inspection personnel M Bertovic, I Virkkunen Handbook of Nondestructive Evaluation 4.0, 239-269, 2022 | 18 | 2022 |
| The effect of different flaw data to machine learning powered ultrasonic inspection T Koskinen, I Virkkunen, O Siljama, O Jessen-Juhler Journal of Nondestructive Evaluation 40, 1-13, 2021 | 17 | 2021 |
| Producing a pod curve with emulated signal response data T Koskinen, I Virkkunen, S Papula, T Sarikka, J Haapalainen Insight-Non-Destructive Testing and Condition Monitoring 60 (1), 42-48, 2018 | 16 | 2018 |
| Plastic strain and residual stress distributions in an AISI 304 stainless steel BWR pipe weld T Saukkonen, M Aalto, I Virkkunen, U Ehrnstén, H Hänninen Proceedings of the 15th International Conference on Environmental …, 2016 | 12 | 2016 |
| Virtual round robin–A new opportunity to study NDT reliability I Virkkunen, T Koskinen, O Jessen-Juhler Nuclear Engineering and Design 380, 111297, 2021 | 10 | 2021 |
| The effect of subsurface crack opening on the stress intensity factor under cyclic thermal loads J Kuutti, I Virkkunen Engineering Fracture Mechanics 218, 106600, 2019 | 10 | 2019 |
