RESEARCHER PROFILE
Sandhya Samarasinghe
S
Lincoln University
Sandhya Samarasinghe works in Gene Regulatory Network Analysis, Neural Networks and Applications, Smart Agriculture and AI, Mathematical Biology Tumor Growth, Gene expression and cancer classification. Recorded institutional associations include Lincoln University.
188Publications
3,052Citations
28H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
2006 · 447 citationsNeural Networks for Applied Sciences and Engineering
2011 · 307 citationsArtificial Neural Network Modelling
2016 · 231 citationsComplex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering
2014 · 154 citationsNeural Networks for Applied Sciences and Engineering
2006 · 145 citationsDetermination and modelling of energy consumption in wheat production using neural networks: “A case study in Canterbury province, New Zealand”
2011 · 132 citationsPrediction of lamb tenderness using image surface texture features
2005 · 69 citationsA field study of energy consumption in wheat production in Canterbury, New Zealand
2011 · 65 citationsDetection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
2009 · 64 citationsPrediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand
2015 · 61 citationsDetection of Alzheimer’s disease onset using MRI and PET neuroimaging: longitudinal data analysis and machine learning
2023 · 59 citationsClassification of lamb carcass using machine vision: Comparison of statistical and neural network analyses
2007 · 49 citationsDetermination of fuel consumption and indirect factors affecting it in wheat production in Canterbury, New Zealand
2010 · 47 citationsCO2 emissions from farm inputs “Case study of wheat production in Canterbury, New Zealand”
2012 · 39 citationsNeural networks for predicting fracture toughness of individual wood samples
2007 · 39 citationsUse of neural networks to detect minor and major pathogens that cause bovine mastitis
2009 · 37 citationsMixed-method integration and advances in fuzzy cognitive maps for computational policy simulations for natural hazard mitigation
2012 · 37 citationsStress intensity factor of wood from crack-tip displacement fields obtained from digital image processing
2004 · 36 citationsA novel semi-quantitative Fuzzy Cognitive Map model for complex systems for addressing challenging participatory real life problems
2016 · 35 citationsNovel recurrent neural network for modelling biological networks: Oscillatory p53 interaction dynamics
2013 · 33 citationsDigital image analysis based automated kiwifruit counting technique
2008 · 33 citationsCa2+ dysregulation in the endoplasmic reticulum related to Alzheimer’s disease: A review on experimental progress and computational modeling
2015 · 33 citationsA Review of Systems Biology Perspective on Genetic Regulatory Networks with Examples
2008 · 32 citationsFunctional repertoire of protein kinases and phosphatases in synaptic plasticity and associated neurological disorders
2020 · 32 citationsMathematical modelling of p53 basal dynamics and DNA damage response
2014 · 31 citations
