| Induction machine condition monitoring using neural network modeling H Su, KT Chong IEEE Transactions on Industrial Electronics 54 (1), 241-249, 2007 | 306 | 2007 |
| Application of the recurrent multilayer perceptron in modeling complex process dynamics AG Parlos, KT Chong, AF Atiya IEEE Transactions on Neural Networks 5 (2), 255-266, 1994 | 282 | 1994 |
| Vehicle detection and counting in high-resolution aerial images using convolutional regression neural network H Tayara, KG Soo, KT Chong Ieee Access 6, 2220-2230, 2017 | 160 | 2017 |
| A Lyapunov function approach to longitudinal control of vehicles in a platoon TS No, KT Chong, DH Roh VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings …, 2000 | 115 | 2000 |
| DeePromoter: robust promoter predictor using deep learning M Oubounyt, Z Louadi, H Tayara, KT Chong Frontiers in genetics 10, 286, 2019 | 103 | 2019 |
| Object detection in very high-resolution aerial images using one-stage densely connected feature pyramid network H Tayara, KT Chong Sensors 18 (10), 3341, 2018 | 100 | 2018 |
| iRNA-PseKNC (2methyl): Identify RNA 2'-O-methylation sites by convolution neural network and Chou's pseudo components M Tahir, H Tayara, KT Chong Journal of theoretical biology 465, 1-6, 2019 | 89 | 2019 |
| iN6-Methyl (5-step): Identifying RNA N6-methyladenosine sites using deep learning mode via Chou's 5-step rules and Chou's general PseKNC I Nazari, M Tahir, H Tayara, KT Chong Chemometrics and Intelligent Laboratory Systems 193, 103811, 2019 | 84 | 2019 |
| iDNA6mA (5-step rule): Identification of DNA N6-methyladenine sites in the rice genome by intelligent computational model via Chou's 5-step rule M Tahir, H Tayara, KT Chong Chemometrics and Intelligent Laboratory Systems 189, 96-101, 2019 | 84 | 2019 |
| Vibration signal analysis for electrical fault detection of induction machine using neural networks H Su, KT Chong, R Ravi Kumar Neural Computing and Applications 20, 183-194, 2011 | 84 | 2011 |
| Impedance control for a vehicle platoon system SY Yi, KT Chong Mechatronics 15 (5), 627-638, 2005 | 80 | 2005 |
| Early and accurate detection and diagnosis of heart disease using intelligent computational model Y Muhammad, M Tahir, M Hayat, KT Chong Scientific reports 10 (1), 19747, 2020 | 71 | 2020 |
| Control-relevant discretization of nonlinear systems with time-delay using Taylor-Lie series N Kazantzis, KT Chong, JH Park, AG Parlos | 71 | 2005 |
| Energy-regenerative braking control of electric vehicles using three-phase brushless direct-current motors B Long, ST Lim, JH Ryu, KT Chong Energies 7 (1), 99-114, 2013 | 68 | 2013 |
| Nonlinear identification of process dynamics using neural networks AG Parlos, AF Atiya, KT Chong, WK Tsai Nuclear technology 97 (1), 79-96, 1992 | 68 | 1992 |
| Vehicle longitudinal brake control using variable parameter sliding control H Liang, KT Chong, TS No, SY Yi Control Engineering Practice 11 (4), 403-411, 2003 | 66 | 2003 |
| Nitrogen-doped graphene-encapsulated nickel cobalt nitride as a highly sensitive and selective electrode for glucose and hydrogen peroxide sensing applications T Deepalakshmi, DT Tran, NH Kim, KT Chong, JH Lee ACS applied materials & interfaces 10 (42), 35847-35858, 2018 | 64 | 2018 |
| iPseU-CNN: identifying RNA pseudouridine sites using convolutional neural networks M Tahir, H Tayara, KT Chong Molecular Therapy-Nucleic Acids 16, 463-470, 2019 | 62 | 2019 |
| Navigation system heading and position accuracy improvement through GPS and INS data fusion JH Ryu, G Gankhuyag, KT Chong Journal of Sensors 2016, 2016 | 61 | 2016 |
| Branch point selection in RNA splicing using deep learning I Nazari, H Tayara, KT Chong Ieee Access 7, 1800-1807, 2018 | 57 | 2018 |
