| Assessment of network module identification across complex diseases S Choobdar, ME Ahsen, J Crawford, M Tomasoni, T Fang, D Lamparter, ... Nature methods 16 (9), 843-852, 2019 | 309 | 2019 |
| Predicting academic performance by considering student heterogeneity S Helal, J Li, L Liu, E Ebrahimie, S Dawson, DJ Murray, Q Long Knowledge-Based Systems 161, 134-146, 2018 | 226 | 2018 |
| CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization T Xu, TD Le, L Liu, N Su, R Wang, B Sun, A Colaprico, G Bontempi, J Li Bioinformatics 33 (19), 3131-3133, 2017 | 219 | 2017 |
| Causality-based feature selection: Methods and evaluations K Yu, X Guo, L Liu, J Li, H Wang, Z Ling, X Wu ACM Computing Surveys (CSUR) 53 (5), 1-36, 2020 | 200 | 2020 |
| A fast PC algorithm for high dimensional causal discovery with multi-core PCs TD Le, T Hoang, J Li, L Liu, H Liu, S Hu IEEE/ACM transactions on computational biology and bioinformatics 16 (5 …, 2016 | 194 | 2016 |
| An analysis of money laundering and terrorism financing typologies ASM Irwin, KKR Choo, L Liu Journal of Money Laundering Control 15 (1), 85-111, 2012 | 153 | 2012 |
| Identifying functional miRNA–mRNA regulatory modules with correspondence latent dirichlet allocation B Liu, L Liu, A Tsykin, GJ Goodall, JE Green, M Zhu, CH Kim, J Li Bioinformatics 26 (24), 3105-3111, 2010 | 131 | 2010 |
| Multi-Source Causal Feature Selection K Yu, L Liu, J Li, W Ding, TD Le IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (9), 2240 …, 2019 | 116 | 2019 |
| Computational methods for identifying miRNA sponge interactions TD Le, J Zhang, L Liu, J Li Briefings in bioinformatics 18 (4), 577-590, 2017 | 106 | 2017 |
| Treatment effect estimation with disentangled latent factors W Zhang, L Liu, J Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10923 …, 2021 | 105 | 2021 |
| Inferring microRNA–mRNA causal regulatory relationships from expression data TD Le, L Liu, A Tsykin, GJ Goodall, B Liu, BY Sun, J Li Bioinformatics 29 (6), 765-771, 2013 | 101 | 2013 |
| A Unified View of Causal and Non-causal Feature Selection K Yu, L Liu, J Li ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-46, 2021 | 97 | 2021 |
| A Semantics Aware Random Forest for Text Classification MZ Islam, J Liu, J Li, L Liu, W Kang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 95 | 2019 |
| Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy B Liu, J Li, A Tsykin, L Liu, AB Gaur, GJ Goodall BMC bioinformatics 10 (1), 1-19, 2009 | 94 | 2009 |
| Identifying key factors of student academic performance by subgroup discovery S Helal, J Li, L Liu, E Ebrahimie, S Dawson, DJ Murray International Journal of Data Science and Analytics 7 (3), 227-245, 2019 | 91 | 2019 |
| Identifying cancer subtypes from mirna-tf-mrna regulatory networks and expression data T Xu, TD Le, L Liu, R Wang, B Sun, J Li PloS one 11 (4), e0152792, 2016 | 87 | 2016 |
| Causal decision trees J Li, S Ma, T Le, L Liu, J Liu IEEE Transactions on Knowledge and Data Engineering 29 (2), 257-271, 2016 | 84 | 2016 |
| A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling W Zhang, J Li, L Liu ACM Computing Surveys (CSUR) 54 (8), 1-36, 2021 | 83 | 2021 |
| Mining causal association rules J Li, TD Le, L Liu, J Liu, Z Jin, B Sun 2013 IEEE 13th International Conference on Data Mining Workshops, 114-123, 2013 | 78 | 2013 |
| miRBaseConverter: an R/Bioconductor package for converting and retrieving miRNA name, accession, sequence and family information in different versions of miRBase T Xu, N Su, L Liu, J Zhang, H Wang, W Zhang, J Gui, K Yu, J Li, TD Le BMC bioinformatics 19 (19), 179-188, 2018 | 75 | 2018 |
Jiuyong Li (李久永)Professor of Computer Science, University of South AustraliaVerified email at unisa.edu.au
