# Damayanthi Herath

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/damayanthi-herath/

## Facts

| Field | Value |
| --- | --- |
| Citations | 597 |
| Field | Genomics and Phylogenetic Studies |
| h-index | 11 |
| i10-index | 13 |
| Last Known Institution | University of Peradeniya |
| OpenAlex ID | https://openalex.org/A5021169741 |
| ORCID iD | 0000-0002-2044-7737 |
| Works | 44 |

## Researcher papers

- [Semantic segmentation using Vision Transformers: A survey](https://scholariq.org/papers/semantic-segmentation-using-vision-transformers-a-survey-2/)
- [Chronic Kidney Disease Prediction Using Machine Learning Methods](https://scholariq.org/papers/chronic-kidney-disease-prediction-using-machine-learning-methods/)
- [DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing](https://scholariq.org/papers/deepselectnet-deep-neural-network-based-selective-sequencing-for-oxford-nanopore/)
- [Mobilization of Rock Phosphate Phosphorus through Bacterial Inoculants to Enhance Growth and Yield of Wetland Rice](https://scholariq.org/papers/mobilization-of-rock-phosphate-phosphorus-through-bacterial-inoculants-to/)
- [CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision](https://scholariq.org/papers/comet-a-workflow-using-contig-coverage-and-composition-for-binning-a-metagenomic/)
- [Detection of Novel Biomarker Genes of Alzheimer’s Disease Using Gene Expression Data](https://scholariq.org/papers/detection-of-novel-biomarker-genes-of-alzheimer-s-disease-using-gene-expression/)
- [Interpretable Student Performance Prediction Using Explainable Boosting Machine for Multi-Class Classification](https://scholariq.org/papers/interpretable-student-performance-prediction-using-explainable-boosting-machine/)
- [Assessing Species Diversity Using Metavirome Data: Methods and Challenges](https://scholariq.org/papers/assessing-species-diversity-using-metavirome-data-methods-and-challenges/)
- [Semantic Segmentation using Vision Transformers: A survey](https://scholariq.org/papers/semantic-segmentation-using-vision-transformers-a-survey/)
- [Forecasting renewable energy for microgrids using machine learning](https://scholariq.org/papers/forecasting-renewable-energy-for-microgrids-using-machine-learning/)
- [Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images](https://scholariq.org/papers/transfer-learning-for-accurate-and-efficient-tomato-plant-disease-classification/)

## Researcher topics

- [Genomics and Phylogenetic Studies](https://scholariq.org/topics/genomics-and-phylogenetic-studies/)
- [MicroRNA in disease regulation](https://scholariq.org/topics/microrna-in-disease-regulation/)
- [Machine Learning in Bioinformatics](https://scholariq.org/topics/machine-learning-in-bioinformatics/)
- [Plant Molecular Biology Research](https://scholariq.org/topics/plant-molecular-biology-research/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

## Researcher university

- [University of Peradeniya](https://scholariq.org/institutions/university-of-peradeniya/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.