Deepthi Viswaroopan

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources”.

Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources

arXiv (Cornell University)(2024)10.48550/arxiv.2406.18049

N/A

0DataRank · unranked

4 citations

Deepthi Viswaroopan, William He, Jianfu Li, Xu Zuo, Hua Xu +2 more

Improving entity recognition using ensembles of deep learning and fine-tuned large language models: A case study on adverse event extraction from VAERS and social media

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104789

N/A

0DataRank · unranked

26 citations

Deepthi Viswaroopan, William He, Jianfu Li, Xu Zuo, Hua Xu +2 more