| A methodology for predicting phase inversion during liquid–liquid dispersed pipeline flow KH Ngan, K Ioannou, LD Rhyne, W Wang, P Angeli Chemical Engineering Research and Design 87 (3), 318-324, 2009 | 55 | 2009 |
| Observations on single drop formation from a capillary tube at low flow rates W Wang, KH Ngan, J Gong, P Angeli Colloids and Surfaces A: Physicochemical and Engineering Aspects 334 (1-3 …, 2009 | 44 | 2009 |
| Effect of glycerol on the binary coalescence of water drops in stagnant oil phase W Wang, J Gong, KH Ngan, P Angeli Chemical Engineering Research and Design 87 (12), 1640-1648, 2009 | 35 | 2009 |
| Phase inversion in dispersed liquid-liquid pipe flow KH Ngan UCL (University College London), 2011 | 32 | 2011 |
| Effect of glycerol addition on phase inversion in horizontal dispersed oil–water pipe flows KH Ngan, K Ioannou, LD Rhyne, P Angeli Experimental thermal and fluid science 35 (4), 628-635, 2011 | 23 | 2011 |
| Classification and visualisation of normal and abnormal radiographs; a comparison between eleven convolutional neural network architectures A Ananda, KH Ngan, C Karabağ, A Ter-Sarkisov, E Alonso, ... Sensors 21 (16), 5381, 2021 | 22 | 2021 |
| Contrastive counterfactual visual explanations with overdetermination A White, KH Ngan, J Phelan, K Ryan, SS Afgeh, CC Reyes-Aldasoro, ... Machine Learning 112 (9), 3497-3525, 2023 | 7 | 2023 |
| Geometric Semi-automatic Analysis of Colles' Fractures CC Reyes-Aldasoro, KH Ngan, A Ananda, AA Garcez, A Appelboam, ... PLOS One, 2020 | 7 | 2020 |
| Extracting meaningful high-fidelity knowledge from convolutional neural networks KH Ngan, ADA Garcez, J Townsend 2022 international joint conference on neural networks (IJCNN), 1-17, 2022 | 6 | 2022 |
| Making densenet interpretable a case study in clinical radiology KH Ngan, AA Garcez, KM Knapp, A Appelboam, CC Reyes-Aldasoro medRxiv, 19013730, 2019 | 5 | 2019 |
| Effect of drag reducing polymers on oil-water flow KH Ngan, S Linnenberg, T Al-Wahibi, P Angeli 6th International Conference on Multiphase Science and Technology 2, 427-476, 2007 | 5 | 2007 |
| Discovering visual concepts and rules in convolutional neural networks P Hitzler Compendium of Neurosymbolic Artificial Intelligence 369, 337, 2023 | 3 | 2023 |
| A machine learning approach for Colles' fracture treatment diagnosis KH Ngan, AA Garcez, KM Knapp, A Appelboam, CC Reyes-Aldasoro Medical Image Understanding and Analysis, 2020 | 1 | 2020 |
| Prediction of pressure gradient in dispersed liquid-liquid flows during phase inversion KH Ngan, P Angeli, K Ioannou, LD Rhyne BHR International Conference on Multiphase Production Technology, BHR-2009-D1, 2009 | 1 | 2009 |
| From explanation to intervention: Interactive knowledge extraction from Convolutional Neural Networks used in radiology KH Ngan, E Mansouri-Benssassi, J Phelan, J Townsend, AA Garcez Plos one 19 (4), e0293967, 2024 | | 2024 |
| Kernel transfer KH Ngan, A Garcez, J Townsend US Patent App. 18/081,719, 2023 | | 2023 |
| Closing the Neural-Symbolic Cycle: Knowledge Extraction, User Intervention and Distillation from Convolutional Neural Networks KH Ngan, J Phelan, E Mansouri-Benssassi, J Townsend, A d'Avila Garcez 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy …, 2023 | | 2023 |
