| Quantitative prediction of residual stress and hardness in case-hardened steel based on the Barkhausen noise measurement A Sorsa, K Leiviskä, S Santa-aho, T Lepistö Ndt & E International 46, 100-106, 2012 | 159 | 2012 |
| Utilization of Barkhausen noise magnetizing sweeps for case-depth detection from hardened steel S Santa-Aho, M Vippola, A Sorsa, K Leiviskä, M Lindgren, T Lepistö Ndt & E International 52, 95-102, 2012 | 99 | 2012 |
| Development of Barkhausen noise calibration blocks for reliable grinding burn detection S Santa-Aho, M Vippola, A Sorsa, J Latokartano, M Lindgren, K Leiviskä, ... Journal of Materials Processing Technology 212 (2), 408-416, 2012 | 70 | 2012 |
| Real-coded genetic algorithms and nonlinear parameter identification A Sorsa, R Peltokangas, K Leiviska 2008 4th International IEEE Conference Intelligent Systems 2, 10-42-10-47, 2008 | 62 | 2008 |
| Barkhausen noise probes and modelling: A review S Santa-aho, A Laitinen, A Sorsa, M Vippola Journal of Nondestructive Evaluation 38 (4), 94, 2019 | 50 | 2019 |
| Effect of shot peening parameters to residual stress profiles and Barkhausen noise A Sorsa, S Santa-aho, J Wartiainen, L Suominen, M Vippola, K Leiviskä Journal of Nondestructive Evaluation 37, 1-11, 2018 | 48 | 2018 |
| An efficient procedure for identifying the prediction model between residual stress and Barkhausen noise A Sorsa, K Leiviskä, S Santa-aho, M Vippola, T Lepistö Journal of Nondestructive Evaluation 32, 341-349, 2013 | 40 | 2013 |
| Optimized laser processing of calibration blocks for grinding burn detection with Barkhausen noise S Santa-aho, M Vippola, A Sorsa, M Lindgren, J Latokartano, K Leiviskä, ... Journal of Materials Processing Technology 212 (11), 2282-2293, 2012 | 39 | 2012 |
| Review of railway track applications of Barkhausen noise and other magnetic testing methods S Santa-Aho, A Sorsa, A Nurmikolu, M Vippola Insight-Non-Destructive Testing and Condition Monitoring 56 (12), 657-663, 2014 | 28 | 2014 |
| Barkhausen noise characterisation during elastic bending and tensile-compression loading of case-hardened and tempered samples S Santa-aho, M Vippola, T Saarinen, M Isakov, A Sorsa, M Lindgren, ... Journal of Materials Science 47, 6420-6428, 2012 | 25 | 2012 |
| Sensor validation and outlier detection using fuzzy limits J Nasi, A Sorsa, K Leiviska Proceedings of the 44th IEEE Conference on Decision and Control, 7828-7833, 2005 | 25 | 2005 |
| Prediction of residual stresses using partial least squares regression on Barkhausen noise signals A Sorsa, A Isokangas, S Santa-aho, M Vippola, T Lepistö, K Leiviskä Journal of Nondestructive Evaluation 33, 43-50, 2014 | 23 | 2014 |
| Case depth prediction of nitrided samples with Barkhausen noise measurement A Sorsa, S Santa-aho, C Aylott, BA Shaw, M Vippola, K Leiviskä Metals 9 (3), 325, 2019 | 21 | 2019 |
| Barkhausen noise-magnetizing voltage sweep measurement in evaluation of residual stress in hardened components S Santa-aho, A Sorsa, M Hakanen, K Leiviskä, M Vippola, T Lepistö Measurement Science and Technology 25 (8), 085602, 2014 | 20 | 2014 |
| Development and calibration of a dynamic flotation circuit model P Seppälä, A Sorsa, M Paavola, J Ruuska, A Remes, H Kumar, ... Minerals Engineering 96, 168-176, 2016 | 19 | 2016 |
| Prediction of material properties based on non-destructive Barkhausen noise measurement A Sorsa University of Oulu, 2013 | 19 | 2013 |
| BARKHAUSEN: A study on laser-processed grinding burn simulation and analysis based on Barkhausen noise measurement A Sorsa, K Leivisk, S Santa-Aho, M Vippola, T Lepist Insight-Non-Destructive Testing and Condition Monitoring 52 (6), 293-297, 2010 | 18 | 2010 |
| Development of a Fuzzy Expert System for a Nutritional Guidance Application. P Heinonen, M Mannelin, H Iskala, A Sorsa, E Juuso IFSA/EUSFLAT Conf., 1685-1690, 2009 | 18 | 2009 |
| Mathematical analysis and update of ADM1 model for biomethane production by anaerobic digestion S Bertacchi, M Ruusunen, A Sorsa, A Sirviö, P Branduardi Fermentation 7 (4), 237, 2021 | 17 | 2021 |
| Application of a genetic algorithm based model selection algorithm for identification of carbide-based hot metal desulfurization T Vuolio, VV Visuri, A Sorsa, S Ollila, T Fabritius Applied Soft Computing 92, 106330, 2020 | 17 | 2020 |
