| A survey of applications and requirements of unique identification systems and RFID techniques E Ilie-Zudor, Z Kemény, F Van Blommestein, L Monostori, ... Computers in Industry 62 (3), 227-252, 2011 | 269 | 2011 |
| Human–robot collaborative assembly in cyber-physical production: Classification framework and implementation XV Wang, Z Kemény, J Váncza, L Wang CIRP annals 66 (1), 5-8, 2017 | 252 | 2017 |
| The RFID technology and its current applications E Ilie-Zudor, Z Kemeny, P Egri, L Monostori Conference Proceedings of the Modern Information Technology in the …, 2006 | 143 | 2006 |
| Advanced predictive-analysis-based decision support for collaborative logistics networks E Ilie-Zudor, A Ekárt, Z Kemeny, C Buckingham, P Welch, L Monostori Supply Chain Management: An International Journal, 2015 | 72 | 2015 |
| Wireless multi-sensor networks for smart cities: A prototype system with statistical data analysis BC Csáji, Z Kemény, G Pedone, A Kuti, J Váncza IEEE Sensors Journal 17 (23), 7667-7676, 2017 | 60 | 2017 |
| The MTA SZTAKI smart factory: Platform for research and project-oriented skill development in higher education Z Kemény, R Beregi, FG Erdős, J Nacsa PROCEDIA CIRP 54, 53-58, 2016 | 54 | 2016 |
| Process planning and offline programming for robotic remote laser welding systems G Erdős, C Kardos, Z Kemény, A Kovács, J Váncza International Journal of Computer Integrated Manufacturing 29 (12), 1287-1306, 2016 | 38 | 2016 |
| Context-dependent multimodal communication in human-robot collaboration C Kardos, Z Kemény, A Kovács, BE Pataki, J Váncza Procedia CIRP 72, 15-20, 2018 | 31 | 2018 |
| Planning of remote laser welding processes FG Erdős, Z Kemény, A Kovács, J Váncza PROCEDIA CIRP 7, 222-227, 2013 | 31 | 2013 |
| Ontology-based information modelling in the industrial data space J Pullmann, N Petersen, C Mader, S Lohmann, Z Kemeny 2017 22nd IEEE International Conference on Emerging Technologies and Factory …, 2017 | 24 | 2017 |
| Complementary research and education opportunities–A comparison of learning factory facilities and methodologies at TU Wien and MTA SZTAKI Z Kemény, J Nacsa, FG Erdős, R Glawar, W Sihn, L Monostori, ... PROCEDIA CIRP 54, 47-52, 2016 | 21 | 2016 |
| A holistic approach for quality oriented maintenance planning supported by data mining methods R Glawar, Z Kemeny, T Nemeth, K Matyas, L Monostori, W Sihn Procedia CIRP 57, 259-264, 2016 | 21 | 2016 |
| A solution for information management in logistics operations of modern manufacturing chains E Ilie-Zudor, Z Kemény, A Ekárt, CD Buckingham, L Monostori Procedia CIRP 25, 337-344, 2014 | 16 | 2014 |
| Expanding production perspectives by collaborating learning factories—perceived needs and possibilities Z Kemény, R Beregi, J Nacsa, R Glawar, W Sihn Procedia Manufacturing 23, 111-116, 2018 | 15 | 2018 |
| Decision support solutions for factory and network logistics operations E Ilie-Zudor, Z Kemény, A Pfeiffer, L Monostori International Journal of Computer Integrated Manufacturing 30 (1), 63-73, 2017 | 15 | 2017 |
| Human–robot collaboration in the MTA SZTAKI learning factory facility at Győr Z Kemény, R Beregi, J Nacsa, C Kardos, D Horváth Procedia Manufacturing 23, 105-110, 2018 | 13 | 2018 |
| Efficiency and security of process transparency in production networks-a view of expectations, obstacles and potentials A Ilie Zudor, Z Kemény, D Preuveneers PROCEDIA CIRP 52, 84-89, 2016 | 12 | 2016 |
| Multiple-participant hub-and-spoke logistics networks: Challenges, solutions and limits Z Kemény, A Ilie Zudor, J Fülöp, A Ekart, C Buckingham, P Welch Tapir Acad. Pr., 2011 | 12 | 2011 |
| AI techniques in modelling, assignment, problem solving and optimization ZJ Viharos, Z Kemény Engineering Applications of Artificial Intelligence 20 (5), 691-698, 2007 | 12 | 2007 |
| Workstation configuration and process planning for RLW operations FG Erdős, C Kardos, Z Kemény, A Kovács, J Váncza PROCEDIA CIRP 17, 783-788, 2014 | 8 | 2014 |
