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Mengqin Cheng

dblp:432/6574 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-1622-0580ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › visual analytics › visual text analytics
text-visualization integration
1.012026
The Evolving Duet of Two Modalities: A Survey on Integrating Text and Visualization for Data Communication · CHI 2026
Visualization and visual analytics › data storytelling
narrative visualization
0.312026
The Evolving Duet of Two Modalities: A Survey on Integrating Text and Visualization for Data Communication · CHI 2026

Methods — techniques the papers use, named apart from their topics

systematic literature review · 1.0
YearPublicationVenuePosition
2026 The Evolving Duet of Two Modalities: A Survey on Integrating Text and Visualization for Data Communication
abstract
Text plays a fundamental yet understudied role as a narrative device in data visualization. While existing research has extensively explored text as data input and interaction modality, its function in supporting storytelling and interpretation remains fragmented. To address this gap, this work presents a systematic review of 98 publications that provide insights into using text as narrative. We investigate how text can be utilized in visualization, analyze its functions and effects, and explore how it can be designed to facilitate data communication. Our synthesis identifies significant research gaps in this domain and proposes future directions to advance the integration of text and visualization, ultimately aiming to provide guidance for designing text that enhances narrative clarity and fosters engagement.
Xingyu Lan, Mengqin Cheng, Jiazhe Wang, Siming Chen 0001
CHI4