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20232026
most citedNFTracer: Tracing NFT Impact Dynamics in Transaction-flow Substitutive Systems with Visual Analytics

6 citations · 8 across the 9 of their papers we have counts for

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cs.HC2026

SocialFiVis: A Visual Analytics Sandbox for LLM-Grounded Multi-Agent Simulation in Social Finance

Yi-Fan Cao, Qing Shi, Liangwei Wang +5

The emergence of social finance (SocialFi) transforms online communities into complex socio-economic systems. Within these spaces, collective decisions shape a "digital commons" ch…

cs.HC2026

Theory, Experience, and Instinct: A Glimpse Into AAA Game Processes and How UX Leaders Navigate Pre-Production

Ivana Randelshofer, Joseph Tu, Yifan Cao +3

Foundational decisions shape a project's long-term trajectory, a dynamic that becomes especially evident in the inherent complexity of game pre-production. However, academic framew…

cs.HC2026

SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation

Yanjia Li, Kelcy Kexin Han, Tianrui Hu +3

Simulation has long supported supply chain management instruction by letting learners observe network behavior and test decision strategies. Recent progress in LLM-driven agents op…

cs.HC2026

Enhanced Self-Learning with Epistemologically-Informed LLM Dialogue

Yi-Fan Cao, Kento Shigyo, Yitong Gu +6

Large Language Models (LLMs) have advanced self-learning tools, enabling more personalized interactions. However, learners struggle to engage in meaningful dialogue and process com…

cs.HC2025

ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues

Xiyuan Wang, Yi-Fan Cao, Junjie Xiong +4

Indexical storytelling is gaining popularity in video games, where the narrative unfolds through fragmented clues. This approach fosters player-generated content and discussion, as…

cs.HC2023

Why Change My Design: Explaining Poorly Constructed Visualization Designs with Explorable Explanations

Leo Yu-Ho Lo, Yifan Cao, Leni Yang +1

Although visualization tools are widely available and accessible, not everyone knows the best practices and guidelines for creating accurate and honest visual representations of da…