| Early fault detection in gearboxes based on support vector machines and multilayer perceptron with a continuous wavelet transform Ł Jedliński, J Jonak Applied Soft Computing 30, 636-641, 2015 | 133 | 2015 |
| Classification of wear level of mining tools with the use of fuzzy neural network J Gajewski, Ł Jedliński, J Jonak Tunnelling and underground space technology 35, 30-36, 2013 | 54 | 2013 |
| Influence of the Undercut Anchor Head Angle on the Propagation of the Failure Zone of the Rock Medium—Part II J Jonak, R Karpiński, A Wójcik Materials 14 (14), 3880, 2021 | 52* | 2021 |
| Comparison of diagnostic accuracy of physical examination and MRI in the most common knee injuries P Krakowski, A Nogalski, A Jurkiewicz, R Karpiński, R Maciejewski, ... Applied Sciences 9 (19), 4102, 2019 | 38 | 2019 |
| Failure analysis of thin-walled composite channel section columns H Debski, J Jonak Composite Structures 132, 567-574, 2015 | 38 | 2015 |
| Analysis of the rock failure cone size relative to the group effect from a triangular anchorage system J Jonak, R Karpiński, M Siegmund, A Wójcik, K Jonak Materials 13 (20), 4657, 2020 | 37 | 2020 |
| Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part II: Patellofemoral Joint R Karpiński, P Krakowski, J Jonak, A Machrowska, M Maciejewski, ... Sensors 22 (10), 3765, 2022 | 34 | 2022 |
| The influence of the physical-mechanical parameters of rock on the extent of the initial failure zone under the action of an undercut anchor J Jonak, R Karpiński, A Wójcik, M Siegmund Materials 14 (8), 1841, 2021 | 34 | 2021 |
| A disassembly-free method for evaluation of spiral bevel gear assembly Ł Jedliński, J Jonak Mechanical Systems and Signal Processing 88, 399-412, 2017 | 34 | 2017 |
| Knee MRI underestimates the grade of cartilage lesions P Krakowski, R Karpiński, M Jojczuk, A Nogalska, J Jonak Applied Sciences 11 (4), 1552, 2021 | 33 | 2021 |
| Failure diagnosis of a gear box by recurrences A Syta, J Jonak, Ł Jedliński, G Litak | 33 | 2012 |
| Towards the identification of worn picks on cutterdrums based on torque and power signals using Artificial Neural Networks J Gajewski, J Jonak Tunnelling and Underground Space Technology 26 (1), 22-28, 2011 | 33 | 2011 |
| Urabianie skał głowicami wielonarzędziowymi J Jonak " Śląsk" Wydaw. Naukowe, 2002 | 33 | 2002 |
| Diagnostics of Articular Cartilage Damage Based on Generated Acoustic Signals Using ANN—Part I: Femoral-Tibial Joint R Karpiński, P Krakowski, J Jonak, A Machrowska, M Maciejewski, ... Sensors 22 (6), 2176, 2022 | 32 | 2022 |
| Three-dimensional finite element analysis of the undercut anchor group effect in rock cone failure J Jonak, M Siegmund, R Karpiński, A Wójcik Materials 13 (6), 1332, 2020 | 32 | 2020 |
| Detecting and identifying non-stationary courses in the ripping head power consumption by recurrence plots G Litak, A Syta, J Gajewski, J Jonak Meccanica 45 (4), 603, 2010 | 29 | 2010 |
| Utilisation of neural networks to identify the status of the cutting tool point J Gajewski, J Jonak Tunnelling and Underground Space Technology 21 (2), 180-184, 2006 | 29 | 2006 |
| Mathematical model and results of rock cutting modeling J Jonak, J Podgórski Journal of Mining Science 37 (6), 615-618, 2001 | 29 | 2001 |
| Quantitative estimation of the tool wear effects in a ripping head by recurrence plots G Litak, J Gajewski, A Syta, J Jonak Journal of Theoretical and Applied Mechanics 46 (3), 521-530, 2008 | 27 | 2008 |
| Short-term effects of arthroscopic microfracturation of knee chondral defects in osteoarthritis P Krakowski, R Karpiński, R Maciejewski, J Jonak, A Jurkiewicz Applied Sciences 10 (23), 8312, 2020 | 26 | 2020 |
