| Big data and machine learning for crop protection RHL Ip, LM Ang, KP Seng, JC Broster, JE Pratley Computers and Electronics in Agriculture 151, 376-383, 2018 | 156 | 2018 |
| Islamophobia in Australia-II (2016-2017) N Asquith, D Iner, RHL Ip, Z Islam, G Mason, M Vergani, I Zayied Charles Sturt University, 2019 | 61* | 2019 |
| A quarter of a century of monitoring herbicide resistance in Lolium rigidum in Australia JC Broster, JE Pratley, RHL Ip, L Ang, KP Seng Crop and Pasture Science 70 (3), 283-293, 2019 | 30 | 2019 |
| BDF: A New Decision Forest Algorithm MN Adnan, RHL Ip, M Bewong, MZ Islam Information Sciences 569, 687-705, 2021 | 15 | 2021 |
| An exploratory study of Muslim consumers’ halal meat purchasing intentions in Norway MA Bhatti, SS Godfrey, RHL Ip, MØ Gaarder, S Aslam, G Steinheim, ... Acta Agriculturae Scandinavica, Section A—Animal Science 70 (1), 61-70, 2021 | 15 | 2021 |
| Time varying spatio-temporal covariance models RHL Ip, WK Li Spatial Statistics 14, 269-285, 2015 | 15 | 2015 |
| A Review of COVID-19 Modelling Strategies in Three Countries to Develop a Research Framework for Regional Areas A Rahman, MA Kuddus, RHL Ip, M Bewong Viruses 13 (11), 2185, 2021 | 13 | 2021 |
| Diversity of Sources of Income for Smallholder Farming Communities in Malawi: Importance for Improved Livelihood MA Bhatti, SS Godfrey, RHL Ip, C Kachiwala, H Hovdhaugen, LJ Banda, ... Sustainability 13 (17), 9599, 2021 | 12 | 2021 |
| Increased demand for amphetamine treatment in rural Australia J Allan, RHL Ip, M Kemp, N Snowdon Addiction Science & Clinical Practice 14, 13, 2019 | 12 | 2019 |
| Modelling COVID-19 pandemic control strategies in metropolitan and rural health districts in New South Wales, Australia A Rahman, MA Kuddus, RHL Ip, M Bewong Scientific Reports 13 (1), 10352, 2023 | 11 | 2023 |
| Modelling the effects of cold temperature during the reproductive stage on the yield of chickpea (Cicer arietinum L.) MR Anwar, DJ Luckett, YS Chauhan, RHL Ip, L Maphosa, M Simpson, ... International Journal of Biometeorology 66, 111-125, 2022 | 11 | 2022 |
| Cropping practices influence incidence of herbicide resistance in annual ryegrass (Lolium rigidum) in Australia JC Broster, JE Pratley, RHL Ip, L Ang, KP Seng Crop and Pasture Science 70 (1), 77-84, 2019 | 11 | 2019 |
| On some Matérn covariance functions for spatio-temporal random fields RHL Ip, WK Li Statistica Sinica 27, 805-822, 2017 | 10 | 2017 |
| Matérn cross-covariance functions for bivariate spatio-temporal random fields RHL Ip, WK Li Spatial Statistics 17, 22-37, 2016 | 10 | 2016 |
| Evaluation of COVID-19 Mitigation Policies in Australia Using Generalised Space-Time Autoregressive Intervention Models RHL Ip, D Demskoi, A Rahman, L Zheng International Journal of Environmental Research and Public Health 18 (14), 7474, 2021 | 9 | 2021 |
| A note on discrete multivariate Markov random field models RHL Ip, KYK Wu Statistics & Probability Letters 156, 108588, 2020 | 8 | 2020 |
| Impact of Sowing Time and Genotype on Water Use Efficiency of Lentil (Lens culinaris Medick.) L Maphosa, MR Anwar, DJ Luckett, RHL Ip, YS Chauhan, MF Richards Agronomy 12 (7), 1542, 2022 | 7 | 2022 |
| Drought shocks and gearing impacts on the profitability of sheep farming SS Godfrey, T Nordblom, RHL Ip, S Robertson, T Hutchings, K Behrendt Agriculture 11, 366, 2021 | 7 | 2021 |
| Risk Analysis of Australia’s Victorian Dairy Farms Using Multivariate Copulae SS Godfrey, RHL Ip, TL Nordblom Journal of Agricultural and Applied Economics 54 (1), 72-92, 2022 | 6 | 2022 |
| A class of valid Matérn cross-covariance functions for multivariate spatio-temporal random fields RHL Ip, WK Li Statistics & Probability Letters 130, 115-119, 2017 | 6 | 2017 |
