Md Sultan Al Nahian

Computer SciencePsychology

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 4 papers. Top paper: “UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5)”.

UKYNLP@SMM4H2024: Language Model Methods for Health Entity Tagging and Classification on Social Media (Tasks 4 & 5)

(2024)10.18653/v1/2024.smm4h-1.29

N/A

0DataRank · unranked

0 citations

Vinu Ekanayake, Md Sultan Al Nahian, Ramakanth Kavuluru, Motasem S Obeidat

Mining Social Media for Barriers to Opioid Recovery with LLMs

(2025)10.18653/v1/2025.cl4health-1.7

N/A

0DataRank · unranked

0 citations

Md Sultan Al Nahian, Ramakanth Kavuluru, Vinu Ekanayake

RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization

(2025)10.18653/v1/2025.bionlp-1.10

N/A

0DataRank · unranked

0 citations

Ramakanth Kavuluru, Md Sultan Al Nahian

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records

arXiv (Cornell University)(2025)10.48550/arxiv.2504.11792

N/A

0DataRank · unranked

0 citations

Chris Delcher, Daniel R. Harris, Peter Akpunonu, Ramakanth Kavuluru, Md Sultan Al Nahian