| A survey on deep learning and its applications S Dong, P Wang, K Abbas Computer Science Review 40, 100379, 2021 | 895 | 2021 |
| Deep learning-based object classification through multimode fiber via a CNN-architecture SpeckleNet P Wang, J Di Applied optics 57 (28), 8258-8263, 2018 | 55 | 2018 |
| Detection of unwanted traffic congestion based on existing surveillance system using in freeway via a CNN-architecture trafficnet P Wang, L Li, Y Jin, G Wang 2018 13th IEEE conference on industrial electronics and applications (ICIEA …, 2018 | 53 | 2018 |
| Relay feedback autotuning method for integrating processes with inverse response and time delay D Gu, L Ou, P Wang, W Zhang Industrial & engineering chemistry research 45 (9), 3119-3132, 2006 | 51 | 2006 |
| Fine-grained traffic flow prediction of various vehicle types via fusion of multisource data and deep learning approaches P Wang, W Hao, Y Jin IEEE Transactions on Intelligent Transportation Systems 22 (11), 6921-6930, 2020 | 46 | 2020 |
| Regional detection of traffic congestion using in a large-scale surveillance system via deep residual TrafficNet P Wang, W Hao, Z Sun, S Wang, E Tan, L Li, Y Jin IEEE Access 6, 68910-68919, 2018 | 44 | 2018 |
| Initial system evaluation of an overground rehabilitation gait training robot (NaTUre-gaits) P Wang, KH Low, A Tow, PH Lim Advanced Robotics 25 (15), 1927-1948, 2011 | 41 | 2011 |
| Detection of abnormal muscle activations during walking following spinal cord injury (SCI) P Wang, KH Low, AH McGregor, A Tow Research in developmental disabilities 34 (4), 1226-1235, 2013 | 32 | 2013 |
| A subject-based motion generation model with adjustable walking pattern for a gait robotic trainer: NaTUre-gaits P Wang, KH Low, AH McGregor 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 32 | 2011 |
| Rehabilitation control strategies for a gait robot via EMG evaluation P Wang, AH McGregor, A Tow, HB Lim, LS Khang, KH Low 2009 IEEE International Conference on Rehabilitation Robotics, 86-91, 2009 | 29 | 2009 |
| Automatic generation of fine‐grained traffic load spectrum via fusion of weigh‐in‐motion and vehicle spatial–temporal information G Yang, P Wang, W Han, S Chen, S Zhang, Y Yuan Computer‐Aided Civil and Infrastructure Engineering 37 (4), 485-499, 2022 | 28 | 2022 |
| Qualitative evaluations of gait rehabilitation via EMG muscle activation pattern: Repetition, symmetry, and smoothness P Wang, KH Low 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 215-220, 2009 | 28 | 2009 |
| Hybrid traffic forecasting model with fusion of multiple spatial toll collection data and remote microwave sensor data Y Jin, E Tan, L Li, G Wang, J Wang, P Wang IEEE Access 6, 79211-79221, 2018 | 27 | 2018 |
| Synchronized walking coordination for impact-less footpad contact of an overground gait rehabilitation system: NaTUre-gaits P Wang, KH Low, A Tow 2011 IEEE International Conference on Rehabilitation Robotics, 1-6, 2011 | 25 | 2011 |
| SAE Network: A Deep Learning Method for Traffic Flow Prediction YJWXPWJ Yan 2018 5th International Conference on Information, Cybernetics, and …, 2018 | 24 | 2018 |
| Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine X Wang, X Qi, P Wang, J Yang Autonomous Intelligent Systems 1, 1-12, 2021 | 22 | 2021 |
| Forecasting Traffic Volume at a Designated Cross-Section Location on a Freeway From Large-Regional Toll Collection Data PWWXYJG Wang IEEE access, 2019 | 22 | 2019 |
| Modified relay feedback identification based on describing function analysis P Wang, D Gu, W Zhang Industrial & engineering chemistry research 46 (5), 1538-1546, 2007 | 21 | 2007 |
| A pilot study: Evaluations of compression garment performance via muscle activation tests P Wang, J McLaren, KF Leong, PJ des Ouches Procedia Engineering 60, 361-366, 2013 | 20 | 2013 |
| Quantitative assessment on truck-related road risk for the safety control via truck flow estimation of various types Y Jin, Z Jia, P Wang, Z Sun, K Wen, J Wang IEEE Access 7, 88799-88810, 2019 | 18 | 2019 |
