Evidence map›Paper›PMID 42455457›Full record

ReviewVisual computing for industry, biomedicine, and art2026

Survey of the intersection of mental maps and visualization.

Jie Guo, Huiyuan Shi, Yucheng Kong, Jiazhen Du, Zeyang Liu, Fangfang Zhou, Ying Zhao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Visual computing for industry, biomedicine, and art, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jie GuoSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Huiyuan ShiSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Yucheng KongSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Jiazhen DuSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Zeyang LiuSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Fangfang ZhouSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China.
Ying ZhaoSchool of Computer Science and Engineering, Central South University, Changsha 410083, Hunan, China. zhaoying@csu.edu.cn.ORCID http://orcid.org/0000-0002-4200-5200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intersection between mental maps and visualization has attracted increasing research attention in recent years, as they exhibit a natural functional complementarity. Mental maps research explores how humans construct in-mind representations of the external world through the view of cognitive science, while visualization can transform implicit mental maps into concrete visual forms, thereby facilitating the analysis of their construction mechanisms. Visualization, a branch of computer science, investigates how to design human-friendly visual representations of digital data. Mental maps can provide human-perspective insights to guide visualization designs and improve the effectiveness of data understanding and analysis. This paper presents a literature survey of the recent research at this intersection. Regarding the visualizations of mental maps, the present study classifies relevant research into visualizations to depict structural topographies, attribute information in mental maps, and compare multiple mental maps. In terms of mental maps for visualization, this study categorizes the relevant research into the element structuring, structural mapping, and consistency maintenance mechanisms of mental maps to guide visualization designs. This paper introduces and discusses in detail representative works in these categories, providing future research opportunities at this intersection.

Indexed as

Interdisciplinary fieldMental mapsSurveyVisualization

Identifiers

PMID42455457
PMCPMC13373130

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.