| Development of a global road safety performance function using deep neural networks G Pan, L Fu, L Thakali International journal of transportation science and technology 6 (3), 159-173, 2017 | 76 | 2017 |
| Winter road surface condition recognition using a pre-trained deep convolutional neural network G Pan, L Fu, R Yu, MI Muresan Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018 | 62* | 2018 |
| Inverse modeling for filters using a regularized deep neural network approach G Pan, Y Wu, M Yu, L Fu, H Li IEEE Microwave and Wireless Components Letters 30 (5), 457-460, 2020 | 59 | 2020 |
| Calculation for depth of deep belief network GY Pan, W Chai, JF Qiao Control and Decision 30 (2), 256-260, 2015 | 52* | 2015 |
| Evaluation of alternative pre-trained convolutional neural networks for winter road surface condition monitoring G Pan, L Fu, R Yu, M Muresan 2019 5th International Conference on Transportation Information and Safety …, 2019 | 51 | 2019 |
| Adaptive traffic signal control with deep reinforcement learning an exploratory investigation M Muresan, L Fu, G Pan arXiv preprint arXiv:1901.00960, 2019 | 50 | 2019 |
| Air quality index forecasting via genetic algorithm-based improved extreme learning machine C Liu, G Pan, D Song, H Wei IEEE Access 11, 67086-67097, 2023 | 49 | 2023 |
| Artificial neural network for dimensionality reduction and its application to microwave filters inverse modeling Y Wu, G Pan, D Lu, M Yu IEEE Transactions on Microwave Theory and Techniques 70 (11), 4683-4693, 2022 | 38 | 2022 |
| Design and application of continuous deep belief network J Qiao, G Pan, H Han Acta Automatica Sinica 41 (12), 2138-2146, 2015 | 37* | 2015 |
| Real-time winter road surface condition monitoring using an improved residual CNN G Pan, M Muresan, R Yu, L Fu Canadian Journal of Civil Engineering 48 (9), 1215-1222, 2021 | 36 | 2021 |
| Comparison of deep learning models for determining road surface condition from roadside camera images and weather data J Carrillo, M Crowley, G Pan, L Fu Transportation Association of Canada and ITS Canada 2019 Joint Conference …, 2019 | 36* | 2019 |
| Road safety performance function analysis with visual feature importance of deep neural nets G Pan, L Fu, Q Chen, M Yu, M Muresan IEEE/CAA Journal of Automatica Sinica 7 (3), 735-744, 2020 | 30 | 2020 |
| A novel explainable deep belief network framework and its application for feature importance analysis Q Chen, G Pan, W Chen, P Wu IEEE Sensors Journal 21 (22), 25001-25009, 2021 | 23 | 2021 |
| A structure-self-organizing DBN for image recognition Q Chen, G Pan Neural Computing and Applications 33, 877-886, 2021 | 19 | 2021 |
| An adaptive hybrid attention based convolutional neural net for intelligent transportation object recognition Q Chen, G Pan, L Zhao, J Fan, W Chen, A Zhang IEEE Transactions on Intelligent Transportation Systems 24 (7), 7791-7801, 2022 | 18 | 2022 |
| A regularization-reinforced DBN for digital recognition J Qiao, G Pan, H Han Natural Computing 18 (4), 721-733, 2019 | 17 | 2019 |
| An improved RBM based on bayesian regularization G Pan, J Qiao, W Chai, N Dimopoulos 2014 International Joint Conference on Neural Networks (IJCNN), 2935-2939, 2014 | 17 | 2014 |
| An unsupervised regularization and dropout based deep neural network and its application for thermal error prediction Y Tian, G Pan Applied Sciences 10 (8), 2870, 2020 | 16 | 2020 |
| A dimensionality-reducible operational optimal control for wastewater treatment process Q Chen, J Fan, W Chen, A Zhang, G Pan IEEE Transactions on Neural Networks and Learning Systems 34 (9), 5418-5426, 2022 | 13 | 2022 |
| Real-time intersection turning movement flow forecasting using a parallel bidirectional long short-term memory neural network model C Zhang, G Pan, L Fu Transportation research record 2678 (2), 167-183, 2024 | 12 | 2024 |
Liping FuProfessor of Civil and Environmental Engineering, University of WaterlooVerified email at uwaterloo.ca
