| 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 | 175 | 2021 |
| Microbial conversion of waste glycerol from biodiesel production into value-added products C Li, KL Lesnik, H Liu Energies 6 (9), 4739-4768, 2013 | 145 | 2013 |
| Suppression of methanogenesis for hydrogen production in single-chamber microbial electrolysis cells using various antibiotics T Catal, KL Lesnik, H Liu Bioresource technology 187, 77-83, 2015 | 124 | 2015 |
| Predicting microbial fuel cell biofilm communities and bioreactor performance using artificial neural networks KL Lesnik, H Liu Environmental science & technology 51 (18), 10881-10892, 2017 | 115 | 2017 |
| 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 | 95 | 2021 |
| Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells W Cai, KL Lesnik, MJ Wade, ES Heidrich, Y Wang, H Liu Biosensors and Bioelectronics 133, 64-71, 2019 | 93 | 2019 |
| Establishing a core microbiome in acetate-fed microbial fuel cells KL Lesnik, H Liu Applied microbiology and biotechnology 98 (9), 4187-4196, 2014 | 86 | 2014 |
| Impact of tobramycin on the performance of microbial fuel cell W Wu, KL Lesnik, S Xu, L Wang, H Liu Microbial cell factories 13 (1), 91, 2014 | 59 | 2014 |
| Microbial community predicts functional stability of microbial fuel cells KL Lesnik, W Cai, H Liu Environmental Science & Technology 54 (1), 427-436, 2019 | 52 | 2019 |
| Stay connected: Electrical conductivity of microbial aggregates C Li, KL Lesnik, H Liu Biotechnology Advances 35 (6), 669-680, 2017 | 48 | 2017 |
| Redox conductivity of current-producing mixed species biofilms C Li, KL Lesnik, Y Fan, H Liu PLoS One 11 (5), e0155247, 2016 | 47 | 2016 |
| Enhanced power generation and energy conversion of sewage sludge by CEA–microbial fuel cells C Abourached, KL Lesnik, H Liu Bioresource technology 166, 229-234, 2014 | 38 | 2014 |
| Millimeter scale electron conduction through exoelectrogenic mixed species biofilms C Li, KL Lesnik, Y Fan, H Liu FEMS Microbiology Letters 363 (15), fnw153, 2016 | 23 | 2016 |
| Conductive properties of methanogenic biofilms C Li, KL Lesnik, H Liu Bioelectrochemistry 119, 220-226, 2018 | 15 | 2018 |
| Consider the community: developing predictive linkages between community structure and performance in microbial fuel cells KL Lesnik | 3 | 2017 |
| Microbial Fuel Cells: From Fundamentals to Wastewater Treatment Applications N Gao, KL Lesnik, H Bermek, H Liu Anaerobic Biotechnology: Environmental Protection and Resource Recovery, 163-189, 2015 | 2 | 2015 |
| Microbial Fuel Cells: The Microbes and Materials KL Lesnik, H Liu Micro & Nano Engineering of Fuel Cells, 304, 2015 | | 2015 |
| Impact of tobramycin on the performance of microbial fuel cell. WWG Wu WenGuo, KL Lesnik, XST Xu ShouTao, WLG Wang LuGuang, ... | | 2014 |
