| Deep convolutional neural networks for image classification: A comprehensive review W Rawat, Z Wang Neural computation 29 (9), 2352-2449, 2017 | 4167 | 2017 |
| Intelligent waste classification system using deep learning convolutional neural network O Adedeji, Z Wang Procedia Manufacturing 35, 607-612, 2019 | 388 | 2019 |
| An improved ensemble learning approach for the prediction of heart disease risk ID Mienye, Y Sun, Z Wang Informatics in Medicine Unlocked 20, 100402, 2020 | 245 | 2020 |
| A machine learning based credit card fraud detection using the GA algorithm for feature selection E Ileberi, Y Sun, Z Wang Journal of Big Data 9 (1), 24, 2022 | 241 | 2022 |
| Prediction performance of improved decision tree-based algorithms: a review ID Mienye, Y Sun, Z Wang Procedia Manufacturing 35, 698-703, 2019 | 211 | 2019 |
| A hyperchaotic system without equilibrium Z Wang, S Cang, EO Ochola, Y Sun Nonlinear Dynamics 69, 531-537, 2012 | 186 | 2012 |
| Performance evaluation of machine learning methods for credit card fraud detection using SMOTE and AdaBoost E Ileberi, Y Sun, Z Wang IEEE Access 9, 165286-165294, 2021 | 152 | 2021 |
| An effective predictive maintenance framework for conveyor motors using dual time-series imaging and convolutional neural network in an industry 4.0 environment KS Kiangala, Z Wang Ieee Access 8, 121033-121049, 2020 | 138 | 2020 |
| Multi-objective for optimal placement and sizing DG units in reducing loss of power and enhancing voltage profile using BPSO-SLFA AS Hassan, Y Sun, Z Wang Energy Reports 6, 1581-1589, 2020 | 134 | 2020 |
| Improved sparse autoencoder based artificial neural network approach for prediction of heart disease ID Mienye, Y Sun, Z Wang Informatics in Medicine Unlocked 18, 100307, 2020 | 129 | 2020 |
| An effective adaptive customization framework for small manufacturing plants using extreme gradient boosting-XGBoost and random forest ensemble learning algorithms in an … SK Kiangala, Z Wang Machine Learning with Applications 4, 100024, 2021 | 127 | 2021 |
| Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts KS Kiangala, Z Wang The International Journal of Advanced Manufacturing Technology 97, 3251-3271, 2018 | 124 | 2018 |
| On low-velocity compensation of brushless DC servo in the absence of friction model M Sun, Z Wang, Y Wang, Z Chen IEEE Transactions on Industrial Electronics 60 (9), 3897-3905, 2012 | 94 | 2012 |
| An optimized routing algorithm for vehicle ad-hoc networks H Bello-Salau, AM Aibinu, Z Wang, AJ Onumanyi, EN Onwuka, JJ Dukiya Engineering Science and Technology, an International Journal 22 (3), 754-766, 2019 | 89 | 2019 |
| Optimized energy consumption model for smart home using improved differential evolution algorithm IO Essiet, Y Sun, Z Wang Energy 172, 354-365, 2019 | 86 | 2019 |
| Hidden and self-excited coexisting attractors in a Lorenz-like system with two equilibrium points S Cang, Y Li, R Zhang, Z Wang Nonlinear Dynamics 95, 381-390, 2019 | 75 | 2019 |
| A novel disturbance-observer based friction compensation scheme for ball and plate system Y Wang, M Sun, Z Wang, Z Liu, Z Chen ISA transactions 53 (2), 671-678, 2014 | 74 | 2014 |
| Parallel Convolutional Neural Networks for Object Detection A Olugboja, Z Wang, Y Sun Journal of Advances in Information Technology 12 (4), 279-286, 2021 | 73 | 2021 |
| Four-dimensional autonomous dynamical systems with conservative flows: two-case study S Cang, A Wu, Z Wang, Z Chen Nonlinear Dynamics 89, 2495-2508, 2017 | 72 | 2017 |
| Optimization techniques applied for optimal planning and integration of renewable energy sources based on distributed generation: Recent trends A Shuaibu Hassan, Y Sun, Z Wang Cogent Engineering 7 (1), 1766394, 2020 | 71 | 2020 |
