| Chemoautotrophic denitrification based on ferrous iron oxidation: reactor performance and sludge characteristics R Wang, C Yang, M Zhang, SY Xu, CL Dai, LY Liang, HP Zhao, P Zheng Chemical Engineering Journal 313, 693-701, 2017 | 99 | 2017 |
| Recent progress using membrane aerated biofilm reactors for wastewater treatment H He, BM Wagner, AL Carlson, C Yang, GT Daigger Water Science and Technology 84 (9), 2131-2157, 2021 | 82 | 2021 |
| Effects of inorganic salts on denitrifying granular sludge: The acute toxicity and working mechanisms R Wang, P Zheng, A Ding, M Zhang, A Ghulam, C Yang, HP Zhao Bioresource Technology 204, 65-70, 2016 | 58 | 2016 |
| Comparison of hybrid membrane aerated biofilm reactor (MABR)/suspended growth and conventional biological nutrient removal processes AL Carlson, H He, C Yang, GT Daigger Water Science and Technology 83 (6), 1418-1428, 2021 | 32 | 2021 |
| An efficient way to achieve stable and high-rate ferrous ion-dependent nitrate removal (FeNiR): Batch sludge replacement R Wang, C Yang, W Wang, L Yu, P Zheng Science of the Total Environment 738, 139396, 2020 | 22 | 2020 |
| How much data is required for a robust and reliable wastewater characterization? C Yang, W Barrott, A Busch, A Mehrotra, J Madden, GT Daigger Water Science and Technology 79 (12), 2298-2309, 2019 | 13 | 2019 |
| Extracting useful signals from flawed sensor data: Developing hybrid data-driven approaches with physical factors C Yang, GT Daigger, E Belia, B Kerkez Water Research 185, 116282, 2020 | 10 | 2020 |
| Automating process design by coupling genetic algorithms with commercial simulators: a case study for hybrid MABR processes C Yang, E Belia, GT Daigger Water Science & Technology 86 (4), 672-689, 2022 | 5 | 2022 |
| An adaptive real-time grey-box model for advanced control and operations in WRRFs C Yang, P Seiler, E Belia, GT Daigger Water Science and Technology 84 (9), 2353-2365, 2021 | 4 | 2021 |
| Available online sensors can be used to create fingerprints for MABRs that characterize biofilm limiting conditions and serve as soft sensors C Yang, D Houweling, H He, GT Daigger Water Science & Technology 86 (9), 2270-2287, 2022 | 3 | 2022 |
| Soft sensing influent concentrations with airflow rates by digital twins: A real case study from oldham wwtw C Yang WEFTEC 2023, 2023 | 2 | 2023 |
| Full-Scale Soft-Sensor Implementations Enable WRRF Hybrid Digital-Twins B Johnson, C Yang, K Lesnik, J Registe, T Johnson, A Menniti Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023 | 2 | 2023 |
| Stress of Cl-, SO42 and PO43- on the heterotrophic denitrifying sludge. WR Wang Ru, ZP Zhang Ping, YC Yang Cheng, XSY Xu ShaoYi, ... | 1 | 2016 |
| WRF 5121 Final Report Overview: Long-Term Evaluation of Hybrid Digital Twins at Three Full-Scale WRRFs C Yang Proceedings of the Water Environment Federation,2024, 2024 | | 2024 |
| Full-Scale Development and Piloting of a Hybrid Digital Twin for Wastewater Operations Optimization B Johnson, C Yang, J Registe, K Lesnik, A Menniti, K Villez Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2024 | | 2024 |
| Mechanistic Modelling Within a Hybrid Controller C Yang WEFTEC 2023, 2023 | | 2023 |
| Available online sensors can be used to create fingerprints for MABRs that characterizing biofilm limiting conditions and serve as soft sensors C Yang, D Houwelingb, H Hec, GT Daigger | | 2022 |
| Data-Driven Approaches to Improve Operations of Biological Processes in WRRFs: Analytics, Model and Optimization C Yang | | 2022 |
| How Much Data is Needed for a Robust and Reliable Wastewater Characterization? GT Daigger, W Barrott, A Mehrotra, C Yang, J Madden WEFTEC 2019, 2019 | | 2019 |
Meng Zhang （张萌）Zhejiang UniversityVerified email at zju.edu.cn