| Hydrogen production, distribution, storage and power conversion in a hydrogen economy-a technology review BC Tashie-Lewis, SG Nnabuife Chemical Engineering Journal Advances 8, 100172, 2021 | 283 | 2021 |
| Present and projected developments in hydrogen production: a technological review⁎ SG Nnabuife, J Ugbeh-Johnson, NE Okeke, C Ogbonnaya Carbon Capture Science & Technology 3, 100042, 2022 | 135 | 2022 |
| Prospects of low and zero-carbon renewable fuels in 1.5-degree net zero emission actualisation by 2050: A critical review OC Anika, SG Nnabuife, A Bello, ER Okoroafor, B Kuang, R Villa Carbon Capture Science & Technology 5, 100072, 2022 | 81 | 2022 |
| Identification of gas-liquid flow regimes using a non-intrusive Doppler ultrasonic sensor and virtual flow regime maps SG Nnabuife, KES Pilario, L Lao, Y Cao, M Shafiee Flow Measurement and Instrumentation 68, 101568, 2019 | 61 | 2019 |
| Non-intrusive classification of gas-liquid flow regimes in an S-shaped pipeline riser using a Doppler ultrasonic sensor and deep neural networks SG Nnabuife, B Kuang, JF Whidborne, Z Rana Chemical Engineering Journal 403, 126401, 2020 | 54 | 2020 |
| Development of Gas–Liquid Flow Regimes Identification Using a Noninvasive Ultrasonic Sensor, Belt-Shape Features, and Convolutional Neural Network in an S-Shaped Riser SG Nnabuife, B Kuang, JF Whidborne, ZA Rana IEEE Transactions on Cybernetics 53 (1), 3-17, 2021 | 20 | 2021 |
| Pseudo-image-feature-based identification benchmark for multi-phase flow regimes B Kuang, SG Nnabuife, Z Rana Chemical Engineering Journal Advances 5, 100060, 2021 | 19 | 2021 |
| Slug flow control using topside measurements: A review SG Nnabuife, H Tandoh, JF Whidborne Chemical Engineering Journal Advances 9, 100204, 2022 | 18 | 2022 |
| Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser B Kuang, SG Nnabuife, S Sun, JF Whidborne, ZA Rana Digital Chemical Engineering 2, 100012, 2022 | 17 | 2022 |
| The prospects of hydrogen in achieving net zero emissions by 2050: A critical review SG Nnabuife, E Oko, B Kuang, A Bello, AP Onwualu, S Oyagha, ... Sustainable Chemistry for Climate Action 2, 100024, 2023 | 16 | 2023 |
| Classification of flow regimes using a neural network and a non-invasive ultrasonic sensor in an S-shaped pipeline-riser system SG Nnabuife, B Kuang, ZA Rana, J Whidborne Chemical Engineering Journal Advances 9, 100215, 2022 | 14 | 2022 |
| A comparative analysis of different hydrogen production methods and their environmental impact SG Nnabuife, CK Darko, PC Obiako, B Kuang, X Sun, K Jenkins Clean Technologies 5 (4), 1344-1380, 2023 | 13 | 2023 |
| Development of gas-liquid slug flow measurement using continuous-wave doppler ultrasound and bandpass power spectral density SG Nnabuife, P Sharma, E Iyore Aburime, PL Lokidor, A Bello ChemEngineering 5 (1), 2, 2021 | 10 | 2021 |
| Venturi multiphase flow measurement based active slug control SG Nnabuife, J Whidborne, L Lao, Y Cao 2019 25th International Conference on Automation and Computing (ICAC), 1-6, 2019 | 10 | 2019 |
| Machine learning based flow regime identification using ultrasonic Doppler data and feature relevance determination R Roxas II, MA Evangelista, JA Sombillo, SG Nnabuife, KE Pilario Digital Chemical Engineering 3, 100024, 2022 | 8 | 2022 |
| Carbon Capture Sci SG Nnabuife, J Ugbeh-Johnson, NE Okeke, C Ogbonnaya Technol 3, 100042, 2022 | 7 | 2022 |
| Exergy Analysis and Evaluation of the Different Flowsheeting Configurations for CO2 Capture Plant Using 2-Amino-2-Methyl-1-Propanol (AMP) E Osagie, AM Aliyu, SG Nnabuife, O Omoregbe, V Etim Processes 7 (6), 391, 2019 | 7 | 2019 |
| Self-supervised learning-based two-phase flow regime identification using ultrasonic sensors in an S-shape riser B Kuang, SG Nnabuife, JF Whidborne, S Sun, J Zhao, K Jenkins Expert Systems with Applications 236, 121414, 2024 | 6 | 2024 |
| Two-phase gas-liquid flow regimes identification in an s-shape pipeline-riser using doppler ultrasonic sensor SG Nnabuife, J Whidborne, L Lao Cranfield Online Research Data (CORD) Repository, Cranfield, 2019 | 6 | 2019 |
| Semantic terrain segmentation in the navigation vision of planetary rovers—A systematic literature review B Kuang, C Gu, ZA Rana, Y Zhao, S Sun, SG Nnabuife Sensors 22 (21), 8393, 2022 | 5 | 2022 |
Boyu KuangResearch fellow in Computer Vision and AI. Cranfield UniversityVerified email at cranfield.ac.uk
