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20242026
most citedSciDaSynth: Interactive Structured Data Extraction from Scientific Literature with Large Language Model

6 citations · 11 across the 26 of their papers we have counts for

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7 papers · 1 filter

cs.HC2025★ 1 cited

EMINDS: Understanding User Behavior Progression for Mental Health Exploration on Social Media

Rui Sheng, Yifang Wang, Xingbo Wang +5

Mental health is an urgent societal issue, and social scientists are increasingly turning to online mental health communities (OMHCs) to analyze user behavior data for early interv…

cs.HC2025

CellScout: Visual Analytics for Mining Biomarkers in Cell State Discovery

Rui Sheng, Zelin Zang, Jiachen Wang +5

Cell state discovery is crucial for understanding biological systems and enhancing medical outcomes. A key aspect of this process is identifying distinct biomarkers that define spe…

cs.HC2025

Qualitative Study for LLM-assisted Design Study Process: Strategies, Challenges, and Roles

Shaolun Ruan, Rui Sheng, Xiaolin Wen +5

Design studies aim to create visualization solutions for real-world problems of different application domains. Recently, the emergence of large language models (LLMs) has introduce…

cs.CG2025

TrajLens: Visual Analysis for Constructing Cell Developmental Trajectories in Cross-Sample Exploration

Qipeng Wang, Shaolun Ruan, Rui Sheng +3

Constructing cell developmental trajectories is a critical task in single-cell RNA sequencing (scRNA-seq) analysis, enabling the inference of potential cellular progression paths.…

cs.HC2025

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials

Rui Sheng, Xingbo Wang, Jiachen Wang +6

Eligibility criteria play a critical role in clinical trials by determining the target patient population, which significantly influences the outcomes of medical interventions. How…

cs.HC2025★ 1 cited

Design Patterns of Human-AI Interfaces in Healthcare

Rui Sheng, Chuhan Shi, Sobhan Lotfi +4

Human-AI interfaces play a pivotal role in integrating clinicians' expertise with artificial intelligence to enhance both healthcare practice and research. However, designing effec…