| Chromatographic removal of endotoxins: a bioprocess engineer's perspective CM Ongkudon, JH Chew, B Liu, MK Danquah ISRN Chromatography 2012, 1-9, 2012 | 57 | 2012 |
| Self-assembled enzyme nanoparticles for carbon dioxide capture BK Shanbhag, B Liu, J Fu, VS Haritos, L He Nano letters 16 (5), 3379-3384, 2016 | 53 | 2016 |
| Analysis of process configurations for bioethanol production from microalgal biomass R Harun, B Liu, MK Danquah Progress in Biomass and Bioenergy Pro‐duction InTech, 395-409, 2011 | 33 | 2011 |
| Multidimensional characterisation of biomechanical structures by combining Atomic Force Microscopy and Focused Ion Beam: A study of the rat whisker VR Adineh, B Liu, R Rajan, W Yan, J Fu Acta biomaterialia 21, 132-141, 2015 | 28 | 2015 |
| Graphene‐enhanced 3D chemical mapping of biological specimens at near‐atomic resolution VR Adineh, C Zheng, Q Zhang, RKW Marceau, B Liu, Y Chen, KJ Si, ... Advanced Functional Materials 28 (32), 1801439, 2018 | 20 | 2018 |
| Modulating surface stiffness of polydimethylsiloxane (PDMS) with kiloelectronvolt ion patterning B Liu, J Fu Journal of Micromechanics and Microengineering 25 (6), 065006, 2015 | 18 | 2015 |
| Low-cost silicone imaging casts for zebrafish embryos and larvae W Masselink, JC Wong, B Liu, J Fu, PD Currie Zebrafish 11 (1), 26-31, 2014 | 17 | 2014 |
| Tuning the surface properties of hydrogel at the nanoscale with focused ion irradiation Y Kim, AY Abuelfilat, SP Hoo, A Al-Abboodi, B Liu, T Ng, P Chan, J Fu Soft Matter 10 (42), 8448-8456, 2014 | 15 | 2014 |
| In situ probing the interior of single bacterial cells at nanometer scale B Liu, MH Uddin, TW Ng, DL Paterson, T Velkov, J Li, J Fu Nanotechnology 25 (41), 415101, 2014 | 13 | 2014 |
| Controlled graphene encapsulation: a nanoscale shield for characterising single bacterial cells in liquid J Li, C Zheng, B Liu, T Chou, Y Kim, S Qiu, J Li, W Yan, J Fu Nanotechnology 29 (36), 365705, 2018 | 11 | 2018 |
| Nanoscale focused ion beam tomography of single bacterial cells for assessment of antibiotic effects B Liu, HH Yu, TW Ng, DL Paterson, T Velkov, J Li, J Fu Microscopy and Microanalysis 20 (2), 537-547, 2014 | 8 | 2014 |
| Nature of crystalline particle assembly in ring shaped colloidal stains from concentrated dispersions F Shao, T Huynh, A Somers, B Liu, J Fu, M Muradoglu, TW Ng Physica B: Condensed Matter 441, 21-27, 2014 | 5 | 2014 |
| Cognition-driven multi-agent policy learning framework for promoting cooperation Z Pu, H Wang, B Liu, J Yi IEEE Transactions on Games, 2022 | 4 | 2022 |
| Orientation and decision-making for soccer based on sports analytics and AI: A systematic review Z Pu, Y Pan, S Wang, B Liu, M Chen, H Ma, Y Cui IEEE/CAA Journal of Automatica Sinica 11 (1), 37-57, 2024 | 3 | 2024 |
| Learning to play football from sports domain perspective: A knowledge-embedded deep reinforcement learning framework B Liu, Z Pu, T Zhang, H Wang, J Yi, J Mi IEEE Transactions on Games, 2022 | 3 | 2022 |
| Lazy agents: a new perspective on solving sparse reward problem in multi-agent reinforcement learning B Liu, Z Pu, Y Pan, J Yi, Y Liang, D Zhang International Conference on Machine Learning, 21937-21950, 2023 | 2 | 2023 |
| Automated patterning and probing with multiple nanoscale tools for single-cell analysis J Li, Y Kim, B Liu, R Qin, J Li, J Fu Micron 101, 132-137, 2017 | 2 | 2017 |
| A double-observation policy learning framework for multi-target coverage with connectivity maintenance Y Xu, Z Pu, S Wu, B Liu, J Yi, H Geng, X Chai Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and …, 2022 | 1 | 2022 |
| QFuture: Learning Future Expectation Cognition in Multi-Agent Reinforcement Learning B Liu, Z Pu, Y Pan, J Yi, M Chen, S Wang IEEE Transactions on Cognitive and Developmental Systems, 2023 | | 2023 |
| Deconfounded Opponent Intention Inference for Football Multi-Player Policy Learning S Wang, Y Pan, Z Pu, B Liu, J Yi 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
