| Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques J Ma, JCP Cheng, C Lin, Y Tan, J Zhang Atmospheric Environment 214, 116885, 2019 | 262 | 2019 |
| Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology J Ma, JCP Cheng Applied Energy 183, 182-192, 2016 | 230 | 2016 |
| BIM-enabled computerized design and digital fabrication of industrialized buildings: A case study R He, M Li, VJL Gan, J Ma Journal of Cleaner Production 278, 123505, 2021 | 205 | 2021 |
| A temporal-spatial interpolation and extrapolation method based on geographic Long Short-Term Memory neural network for PM2. 5 J Ma, Y Ding, JCP Cheng, F Jiang, Z Wan Journal of Cleaner Production 237, 117729, 2019 | 190 | 2019 |
| Simulation optimisation towards energy efficient green buildings: Current status and future trends VJL Gan, IMC Lo, J Ma, KT Tse, JCP Cheng, CM Chan Journal of Cleaner Production 254, 120012, 2020 | 185 | 2020 |
| Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network J Ma, Z Li, JCP Cheng, Y Ding, C Lin, Z Xu Science of The Total Environment 705, 135771, 2020 | 184 | 2020 |
| Identifying the influential features on the regional energy use intensity of residential buildings based on Random Forests J Ma, JCP Cheng Applied Energy 183, 193-201, 2016 | 168 | 2016 |
| A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data J Ma, JCP Cheng, F Jiang, W Chen, M Wang, C Zhai Energy and Buildings 216, 109941, 2020 | 166 | 2020 |
| Identification of high impact factors of air quality on a national scale using big data and machine learning techniques J Ma, Y Ding, JCP Cheng, F Jiang, Y Tan, VJL Gan, Z Wan Journal of Cleaner Production 244, 118955, 2020 | 140 | 2020 |
| Spatiotemporal Prediction of PM2. 5 Concentrations at Different Time Granularities Using IDW-BLSTM J Ma, Y Ding, VJL Gan, C Lin, Z Wan IEEE Access 7, 107897-107907, 2019 | 137 | 2019 |
| Analyzing driving factors of land values in urban scale based on big data and non-linear machine learning techniques J Ma, JCP Cheng, F Jiang, W Chen, J Zhang Land Use Policy 94, 104537, 2020 | 119 | 2020 |
| Analyzing the Leading Causes of Traffic Fatalities Using XGBoost and Grid-Based Analysis: A City Management Perspective J Ma, Y Ding, JCP Cheng, Y Tan, VJL Gan, J Zhang IEEE Access 7, 148059-148072, 2019 | 111 | 2019 |
| A non-linear case-based reasoning approach for retrieval of similar cases and selection of target credits in LEED projects JCP Cheng, LJ Ma Building and Environment 93, 349-361, 2015 | 104 | 2015 |
| A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2. 5 prediction J Ma, Y Ding, JCP Cheng, F Jiang, VJL Gan, Z Xu Sustainable Cities and Society 60, 102237, 2020 | 103 | 2020 |
| Mapping and modelling defect data from UAV captured images to BIM for building external wall inspection Y Tan, G Li, R Cai, J Ma, M Wang Automation in Construction 139, 104284, 2022 | 95 | 2022 |
| Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques J Ma, Y Ding, JCP Cheng, F Jiang, Z Xu Water Research 170, 115350, 2020 | 88 | 2020 |
| Transfer learning for long-interval consecutive missing values imputation without external features in air pollution time series J Ma, JCP Cheng, Y Ding, C Lin, F Jiang, M Wang, C Zhai Advanced Engineering Informatics 44, 101092, 2020 | 80 | 2020 |
| Identification of the most influential areas for air pollution control using XGBoost and Grid Importance Rank J Ma, JCP Cheng, Z Xu, K Chen, C Lin, F Jiang Journal of Cleaner Production 274, 122835, 2020 | 77 | 2020 |
| Observation of PM2. 5 using a combination of satellite remote sensing and low-cost sensor network in Siberian urban areas with limited reference monitoring C Lin, LD Labzovskii, HWL Mak, JCH Fung, AKH Lau, ST Kenea, M Bilal, ... Atmospheric Environment 227, 117410, 2020 | 69 | 2020 |
| Data-driven study on the achievement of LEED credits using percentage of average score and association rule analysis J Ma, JCP Cheng Building and Environment 98, 121-132, 2016 | 68 | 2016 |
Jack C.P. ChengProfessor of Civil and Environmental Engineering, The Hong Kong University of Science and TechnologyE-mailová adresa ověřena na: ust.hk