| Macroscopic free‐standing hierarchical 3D architectures assembled from silver nanowires by ice templating HL Gao, L Xu, F Long, Z Pan, YX Du, Y Lu, J Ge, SH Yu Angewandte Chemie International Edition 53 (18), 4561-4566, 2014 | 220 | 2014 |
| Application of machine learning in anaerobic digestion: Perspectives and challenges IA Cruz, W Chuenchart, F Long, KC Surendra, LRS Andrade, M Bilal, ... Bioresource Technology 345, 126433, 2022 | 178 | 2022 |
| Prediction of anaerobic digestion performance and identification of critical operational parameters using machine learning algorithms L Wang, F Long, W Liao, H Liu Bioresource technology 298, 122495, 2020 | 171 | 2020 |
| Predicting the performance of anaerobic digestion using machine learning algorithms and genomic data F Long, L Wang, W Cai, K Lesnik, H Liu Water research 199, 117182, 2021 | 126 | 2021 |
| Performance prediction of ZVI-based anaerobic digestion reactor using machine learning algorithms W Xu, F Long, H Zhao, Y Zhang, D Liang, L Wang, KL Lesnik, H Cao, ... Waste Management 121, 59-66, 2021 | 80 | 2021 |
| A shape-memory scaffold for macroscale assembly of functional nanoscale building blocks HL Gao, Y Lu, LB Mao, D An, L Xu, JT Gu, F Long, SH Yu Materials Horizons 1 (1), 69-73, 2014 | 58 | 2014 |
| Hydrogen production from lignocellulosic hydrolysate in an up-scaled microbial electrolysis cell with stacked bio-electrodes L Wang, F Long, D Liang, X Xiao, H Liu Bioresource Technology 320, 124314, 2021 | 43 | 2021 |
| Breaking the loop: Tackling homoacetogenesis by chloroform to halt hydrogen production-consumption loop in single chamber microbial electrolysis cells L Wang, Y Chen, F Long, L Singh, S Trujillo, X Xiao, H Liu Chemical Engineering Journal 389, 124436, 2020 | 42 | 2020 |
| Anaerobically photoreductive degradation by CdS nanocrystal: Biofabrication process and bioelectron-driven reaction coupled with Shewanella oneidensis MR-1 X Xiao, X Han, LG Wang, F Long, XL Ma, CC Xu, XB Ma, CX Wang, ... Biochemical Engineering Journal 154, 107466, 2020 | 31 | 2020 |
| Predicting the performance of medium-chain carboxylic acid (MCCA) production using machine learning algorithms and microbial community data F Long, J Fan, W Xu, H Liu Journal of Cleaner Production 377, 134223, 2022 | 25 | 2022 |
| Novel trickling microbial fuel cells for electricity generation from wastewater N Gao, Y Fan, F Long, Y Qiu, W Geier, H Liu Chemosphere 248, 126058, 2020 | 21 | 2020 |
| Enhancement of microbiome management by machine learning for biological wastewater treatment W Cai, F Long, Y Wang, H Liu, K Guo Microbial Biotechnology 14 (1), 59-62, 2021 | 19 | 2021 |
| An integration of machine learning models and life cycle assessment for lignocellulosic bioethanol platforms F Long, H Liu Energy Conversion and Management 292, 117379, 2023 | 11 | 2023 |
| Prediction and optimization of medium-chain carboxylic acids production from food waste using machine learning models F Long, J Fan, H Liu Bioresource Technology 370, 128533, 2023 | 10 | 2023 |
| Accelerated tests for evaluating the air-cathode aging in microbial fuel cells N Gao, Y Fan, L Wang, F Long, D Deng, H Liu Bioresource Technology 297, 122479, 2020 | 7 | 2020 |
| Enhancing resource recovery from acid whey through chitosan-based pretreatment and machine learning optimization F Long, H Liu Bioresource Technology 418, 131932, 2025 | | 2025 |
| Application of Machine Learning in Medium-Chain Carboxylic Acids Production from Organic Wastes F Long, H Liu International Conference on Wider-Uptake of Water Resource Recovery from …, 2024 | | 2024 |
