| The role of fractional calculus in modeling biological phenomena: A review C Ionescu, A Lopes, D Copot, JAT Machado, JHT Bates Communications in Nonlinear Science and Numerical Simulation 51, 141-159, 2017 | 653 | 2017 |
| Closed-loop control of anesthesia: Survey on actual trends, challenges and perspectives M Ghita, M Neckebroek, C Muresan, D Copot Ieee Access 8, 206264-206279, 2020 | 96 | 2020 |
| An open source patient simulator for design and evaluation of computer based multiple drug dosing control for anesthetic and hemodynamic variables CM Ionescu, M Neckebroek, M Ghita, D Copot IEEE Access 9, 8680-8694, 2021 | 95 | 2021 |
| The 5w’s for control as part of industry 4.0: Why, what, where, who, and when—A PID and MPC control perspective A Maxim, D Copot, C Copot, CM Ionescu Inventions 4 (1), 10, 2019 | 67 | 2019 |
| Mathematical modelling with experimental validation of viscoelastic properties in non-Newtonian fluids CM Ionescu, IR Birs, D Copot, CI Muresan, R Caponetto Philosophical Transactions of the Royal Society A 378 (2172), 20190284, 2020 | 61 | 2020 |
| A review of recent advances in fractional-order sensing and filtering techniques CI Muresan, IR Birs, EH Dulf, D Copot, L Miclea Sensors 21 (17), 5920, 2021 | 52 | 2021 |
| Data-driven modelling of drug tissue trapping using anomalous kinetics D Copot, RL Magin, R De Keyser, C Ionescu Chaos, Solitons & Fractals 102, 441-446, 2017 | 48 | 2017 |
| An industrially relevant formulation of a distributed model predictive control algorithm based on minimal process information A Maxim, D Copot, R De Keyser, CM Ionescu Journal of Process Control 68, 240-253, 2018 | 38 | 2018 |
| Models for nociception stimulation and memory effects in awake and aware healthy individuals D Copot, C Ionescu IEEE Transactions on Biomedical Engineering 66 (3), 718-726, 2018 | 38 | 2018 |
| Structural changes in the COPD lung and related heterogeneity D Copot, R De Keyser, E Derom, C Ionescu PloS one 12 (5), e0177969, 2017 | 38 | 2017 |
| Bioimpedance sensor and methodology for acute pain monitoring M Ghita, M Neckebroek, J Juchem, D Copot, CI Muresan, CM Ionescu Sensors 20 (23), 6765, 2020 | 37 | 2020 |
| Context aware control systems: An engineering applications perspective RAC Diaz, M Ghita, D Copot, IR Birs, C Muresan, C Ionescu IEEE Access 8, 215550-215569, 2020 | 36 | 2020 |
| Evaluation of respiratory properties by means of fractional order models I Assadi, A Charef, D Copot, R De Keyser, T Bensouici, C Ionescu Biomedical Signal Processing and Control 34, 206-213, 2017 | 36 | 2017 |
| Fractional order impedance model to estimate glucose concentration: in vitro analysis D Copot, R De Keyser, J Juchem, CM Ionescu Acta Polytechnica Hungarica 14 (1), 207-220, 2017 | 36 | 2017 |
| Anesthesiologist in the loop and predictive algorithm to maintain hypnosis while mimicking surgical disturbance CM Ionescu, D Copot, R De Keyser IFAC-PapersOnLine 50 (1), 15080-15085, 2017 | 34 | 2017 |
| Lung cancer dynamics using fractional order impedance modeling on a mimicked lung tumor setup M Ghita, D Copot, CM Ionescu Journal of Advanced Research 32, 61-71, 2021 | 33 | 2021 |
| Hands-on MPC tuning for industrial applications C Ionescu, D Copot Bulletin of the Polish Academy of Sciences. Technical Sciences 67 (5), 2019 | 31 | 2019 |
| Monitoring respiratory impedance by wearable sensor device: Protocol and methodology CM Ionescu, D Copot Biomedical Signal Processing and Control 36, 57-62, 2017 | 31 | 2017 |
| Pain detection with bioimpedance methodology from 3-dimensional exploration of nociception in a postoperative observational trial M Neckebroek, M Ghita, M Ghita, D Copot, CM Ionescu Journal of clinical medicine 9 (3), 684, 2020 | 29 | 2020 |
| A two-compartment fractional derivative model for propofol diffusion in anesthesia D Copot, A Chevalier, CM Ionescu, R De Keyser 2013 IEEE International Conference on Control Applications (CCA), 264-269, 2013 | 29 | 2013 |
