| Deep learning for detecting macroplastic litter in water bodies: A review T Jia, Z Kapelan, R de Vries, P Vriend, EC Peereboom, I Okkerman, ... Water Research 231, 119632, 2023 | 64 | 2023 |
| Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective Y Wu, X Ma, G Guo, T Jia, Y Huang, S Liu, J Fan, X Wu Water Research 261, 121999, 2024 | 13 | 2024 |
| Short-term multi-objective optimal operation of reservoirs to maximize the benefits of hydropower and navigation T Jia, H Qin, D Yan, Z Zhang, B Liu, C Li, J Wang, J Zhou Water 11 (6), 1272, 2019 | 13 | 2019 |
| A daily power generation optimized operation method of hydropower stations with the navigation demands considered T Jia, J Zhou, X Liu MATEC Web of Conferences 246, 01065, 2018 | 7 | 2018 |
| Detecting the interaction between microparticles and biomass in biological wastewater treatment process with Deep Learning method T Jia, Z Peng, J Yu, AL Piaggio, S Zhang, MK de Kreuk Science of the Total Environment 951, 175813, 2024 | 5 | 2024 |
| Advancing Deep Learning-based Detection of Floating Litter using a Novel Open Dataset T Jia, AJ Vallendar, R de Vries, Z Kapelan, R Taormina Frontiers in Water 5, 1298465, 2023 | 5 | 2023 |
| Detecting floating litter in freshwater bodies with semi-supervised deep learning T Jia, R de Vries, Z Kapelan, THM Van Emmerik, R Taormina Water Research 266, 122405, 2024 | 1 | 2024 |
| 基于数据挖掘的抽水蓄能机组故障关联关系分析 郑庭华， 常玉红， 周建中， 刘涵， 李玲， 姜伟， 贾天龙， 许颜贺 大电机技术, 14-19, 2019 | 1 | 2019 |
| Semi-supervised learning-based identification of the attachment between sludge and microparticles in wastewater treatment T Jia, J Yu, A Sun, Y Wu, S Zhang, Z Peng Journal of Environmental Management 375, 124268, 2025 | | 2025 |
| Water hyacinths as riverine plastic pollution carriers THM van Emmerik, TW Janssen, T Jia, TKL Bui, R Taormina, HQ Nguyen, ... EGUsphere 2024, 1-24, 2024 | | 2024 |
| Detecting Floating Macroplastic Litter with Semi-Supervised Deep Learning T Jia, R de Vries, Z Kapelan, R Taormina EGU24, 2024 | | 2024 |
| Corrigendum to “Advancing deep learning-based acoustic leak detection methods towards application for water distribution systems from a data-centric perspective”[Water Research … WYP Wu, X Ma, G Guo, T Jia, Y Huang, S Liu, J Fan, XW Wu | | 2024 |
| PHyL v1. 0: A parallel, flexible, and advanced software for hydrological and slope stability modeling at a regional scale G Chen, K Zhang, S Wang, T Jia Environmental Modelling & Software 172, 105882, 2024 | | 2024 |
| An open source dataset for Deep Learning-based visual detection of floating macroplastic litter A Vallendar, T Jia, R de Vries, Z Kapelan, R Taormina EGU General Assembly Conference Abstracts, EGU-12092, 2023 | | 2023 |
| A robust deep learning methodology to detect floating macro-plastic litter in rivers T Jia, R de Vries, Z Kapelan, R Taormina EGU General Assembly Conference Abstracts, EGU22-7423, 2022 | | 2022 |
| 基于 Hadoop 多节点式无人水文监测船系统 贾天龙， 夏涵恺， 徐赫遥 黑龙江水利 1 (11), 29-32, 2015 | | 2015 |
Riccardo TaorminaAssociate Professor, Department of Water Management, TU DelftVerified email at tudelft.nl