| Fraud detection: A systematic literature review of graph-based anomaly detection approaches T Pourhabibi, KL Ong, BH Kam, YL Boo Decision Support Systems 133, 113303, 2020 | 449 | 2020 |
| Training loads and injury risk in Australian football—differing acute: chronic workload ratios influence match injury risk DL Carey, P Blanch, KL Ong, KM Crossley, J Crow, ME Morris British journal of sports medicine 51 (16), 1215-1220, 2017 | 191 | 2017 |
| Feature selection for high dimensional imbalanced class data using harmony search A Moayedikia, KL Ong, YL Boo, WGS Yeoh, R Jensen Engineering Applications of Artificial Intelligence 57, 38-49, 2017 | 170 | 2017 |
| Assessing user engagement of an mHealth intervention: development and implementation of the growing healthy app engagement index S Taki, S Lymer, CG Russell, K Campbell, R Laws, KL Ong, R Elliott, ... JMIR mHealth and uHealth 5 (6), e7236, 2017 | 120 | 2017 |
| Predictive modelling of training loads and injury in Australian football D Carey, KL Ong, R Whiteley, K Crossley, J Crow, M Morris La Trobe, 2018 | 111 | 2018 |
| Modeling training loads and injuries: the dangers of discretization DL Carey, KM Crossley, ROD Whiteley, A Mosler, KL Ong, J Crow, ... Medicine & Science in Sports & Exercise 50 (11), 2267-2276, 2018 | 84 | 2018 |
| Finding the intersection of neuroplasticity, stroke recovery, and learning: scope and contributions to stroke rehabilitation L Carey, A Walsh, A Adikari, P Goodin, D Alahakoon, D De Silva, KL Ong, ... Neural plasticity 2019 (1), 5232374, 2019 | 82 | 2019 |
| Crystalclear: Active visualization of association rules HH Ong, KL Ong, WK Ng, EP Lim | 71 | 2002 |
| Can an incentive-based intervention increase physical activity and reduce sitting among adults? the ACHIEVE (Active Choices IncEntiVE) feasibility study K Ball, RF Hunter, JL Maple, M Moodie, J Salmon, KL Ong, LD Stephens, ... International Journal of Behavioral Nutrition and Physical Activity 14, 1-10, 2017 | 62 | 2017 |
| A comparison of recruitment methods for an mHealth intervention targeting mothers: lessons from the growing healthy program RA Laws, EKV Litterbach, EA Denney-Wilson, CG Russell, S Taki, KL Ong, ... Journal of Medical Internet Research 18 (9), e248, 2016 | 59 | 2016 |
| Preventing obesity in infants: the Growing healthy feasibility trial protocol E Denney-Wilson, R Laws, CG Russell, K Ong, S Taki, R Elliot, L Azadi, ... BMJ open 5 (11), e009258, 2015 | 56 | 2015 |
| 2Loud?: Community mapping of exposure to traffic noise with mobile phones S Leao, KL Ong, A Krezel Environmental monitoring and assessment 186, 6193-6206, 2014 | 49 | 2014 |
| An EM-based algorithm for clustering data streams in sliding windows XH Dang, V Lee, WK Ng, A Ciptadi, KL Ong Database Systems for Advanced Applications: 14th International Conference …, 2009 | 47 | 2009 |
| Prediction of wool knitwear pilling propensity using support vector machines PH Yap, X Wang, L Wang, KL Ong Textile Research Journal 80 (1), 77-83, 2010 | 38 | 2010 |
| Key lessons and impact of the growing healthy mHealth program on milk feeding, timing of introduction of solids, and infant growth: quasi-experimental study RA Laws, EA Denney-Wilson, S Taki, CG Russell, M Zheng, EK Litterbach, ... JMIR mHealth and uHealth 6 (4), e9040, 2018 | 37 | 2018 |
| Incremental and adaptive clustering stream data over sliding window XH Dang, VCS Lee, WK Ng, KL Ong International Conference on Database and Expert Systems Applications, 660-674, 2009 | 37 | 2009 |
| Dynamical systems for discovering protein complexes and functional modules from biological networks W Li, Y Liu, HC Huang, Y Peng, Y Lin, WK Ng, KL Ong IEEE/ACM Transactions on Computational Biology and Bioinformatics 4 (2), 233-250, 2007 | 35 | 2007 |
| SCLOPE: An algorithm for clustering data streams of categorical attributes KL Ong, W Li, WK Ng, EP Lim Data Warehousing and Knowledge Discovery: 6th International Conference …, 2004 | 33 | 2004 |
| Impact of the growing healthy mHealth program on maternal feeding practices, infant food preferences, and satiety responsiveness: quasi-experimental study CG Russell, E Denney-Wilson, RA Laws, G Abbott, M Zheng, SJ Lymer, ... JMIR mHealth and uHealth 6 (4), e9303, 2018 | 32 | 2018 |
| Improving accuracy and lowering cost in crowdsourcing through an unsupervised expertise estimation approach A Moayedikia, W Yeoh, KL Ong, YL Boo Decision Support Systems 122, 113065, 2019 | 31 | 2019 |
