| An improved fuzzy neural network for traffic speed prediction considering periodic characteristic J Tang, F Liu, Y Zou, W Zhang, Y Wang IEEE Transactions on Intelligent Transportation Systems 18 (9), 2340-2350, 2017 | 336 | 2017 |
| A method for detecting possible near miss ship collisions from AIS data PK Weibin Zhang, Floris Goerlandt, Jakub Montewka Ocean Engineering 107 (1), 60-69, 2015 | 238 | 2015 |
| An advanced method for detecting possible near miss ship collisions from AIS data YHW Weibin Zhang, Floris Goerlandt, P. Kujala Ocean Engineering 124, 141-156, 2016 | 182 | 2016 |
| Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning W Zhang, Y Yu, Y Qi, F Shu, Y Wang Transportmetrica A: Transport Science 15 (2), 1688-1711, 2019 | 175 | 2019 |
| Amorphous Ni–P materials for high performance pseudocapacitors D Wang, LB Kong, MC Liu, WB Zhang, YC Luo, L Kang Journal of Power Sources 274, 1107-1113, 2015 | 144 | 2015 |
| An analysis of ship escort and convoy operations in ice conditions F Goerlandt, J Montewka, W Zhang, P Kujala Safety science 95, 198-209, 2017 | 125 | 2017 |
| Highly Efficient Nb2C MXene Cathode Catalyst with Uniform O‐Terminated Surface for Lithium–Oxygen Batteries G Li, N Li, S Peng, B He, J Wang, Y Du, W Zhang, K Han, F Dang Advanced Energy Materials 11 (1), 2002721, 2021 | 120 | 2021 |
| CSUTDCC1—A thermodynamic database for multicomponent cemented carbides Y Peng, Y Du, P Zhou, W Zhang, W Chen, L Chen, S Wang, G Wen, W Xie International Journal of Refractory Metals and Hard Materials 42, 57-70, 2014 | 114 | 2014 |
| Photocatalytic improvement of Mn-adsorbed g-C3N4 W Zhang, Z Zhang, S Kwon, F Zhang, B Stephen, KK Kim, R Jung, ... Applied Catalysis B: Environmental 206, 271-281, 2017 | 105 | 2017 |
| Design and synthesis of 3D Co3O4@ MMoO4 (M= Ni, Co) nanocomposites as high-performance supercapacitor electrodes XJ Ma, LB Kong, WB Zhang, MC Liu, YC Luo, L Kang Electrochimica Acta 130, 660-669, 2014 | 104 | 2014 |
| Uniform Zn2+-Doped BiOI Microspheres Assembled by Ultrathin Nanosheets with Tunable Oxygen Vacancies for Super-Stable Removal of NO F Rao, G Zhu, M Hojamberdiev, W Zhang, S Li, J Gao, F Zhang, Y Huang, ... The Journal of Physical Chemistry C 123 (26), 16268-16280, 2019 | 86 | 2019 |
| In-situ generation of oxygen vacancies and metallic bismuth from (BiO) 2CO3 via N2-assisted thermal-treatment for efficient selective photocatalytic NO removal F Rao, G Zhu, W Zhang, J Gao, F Zhang, Y Huang, M Hojamberdiev Applied Catalysis B: Environmental 281, 119481, 2021 | 82 | 2021 |
| Exploring dynamic property of traffic flow time series in multi-states based on complex networks: Phase space reconstruction versus visibility graph J Tang, F Liu, W Zhang, S Zhang, Y Wang Physica A: Statistical Mechanics and its Applications 450, 635-648, 2016 | 77 | 2016 |
| Oxygen vacancy defects-boosted deep oxidation of NO by β-Bi2O3/CeO2-δ pn heterojunction photocatalyst in situ synthesized from Bi/Ce (CO3)(OH) precursor J Nie, G Zhu, W Zhang, J Gao, P Zhong, X Xie, Y Huang, M Hojamberdiev Chemical Engineering Journal 424, 130327, 2021 | 75 | 2021 |
| Maximizing the Formation of Reactive Oxygen Species for Deep Oxidation of NO via Manipulating the Oxygen-Vacancy Defect Position on (BiO)2CO3 F Rao, G Zhu, W Zhang, Y Xu, B Cao, X Shi, J Gao, Y Huang, Y Huang, ... Acs Catalysis 11 (13), 7735-7749, 2021 | 68 | 2021 |
| Z-scheme SnFe2O4-graphitic carbon nitride: Reusable, magnetic catalysts for enhanced photocatalytic CO2 reduction Y Jia, H Ma, W Zhang, G Zhu, W Yang, N Son, M Kang, C Liu Chemical Engineering Journal 383, 123172, 2020 | 67 | 2020 |
| Mechanism of electrocatalytically active precious metal (Ni, Pd, Pt, and Ru) complexes in the graphene basal plane for ORR applications in novel fuel cells W Zhang, Y Xiao Energy & Fuels 34 (2), 2425-2434, 2020 | 67 | 2020 |
| Ti-decorated graphitic-C3N4 monolayer: A promising material for hydrogen storage W Zhang, Z Zhang, F Zhang, W Yang Applied Surface Science 386, 247-254, 2016 | 67 | 2016 |
| A systematic approach for collision risk analysis based on AIS data W Zhang, C Kopca, J Tang, D Ma, Y Wang The Journal of Navigation 70 (5), 1117-1132, 2017 | 61 | 2017 |
| Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis W Zhang, X Feng, F Goerlandt, Q Liu Reliability Engineering & System Safety 204, 107127, 2020 | 60 | 2020 |
Floris GoerlandtDalhousie University, Department of Industrial EngineeringEmail confirmado em dal.ca
