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Zhongyu Liu

Biographic Data

ID6746024
NAMEZhongyu Liu
GIVEN NAMESZhongyu
FAMILY NAMELiu
SIGNATURELIU Z
AFFILIATIONSWuhan University
ORCID0000-0002-4120-4865
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Comparative evaluation of the quality, reliability, and readability of five large language model responses to frequently asked questions on gestational hypertension

    Open Access•Zhongyu Liu, Pengfei Tong et al.•ARTICLE•Frontiers in Public Health•2026

    Objective: This study aims to clarify the impact of Large Language Models (LLMs) and health education content categories on generated text quality (patient education appropriateness and overall quality) and readability, providing empirical evidence for the standardized application of LLMs-assisted health communication. Methods: Five mainstream models (Doubao, Deep Seek, Wenxin Yiyan, Gemini and GPT-5) were selected to generate 100 texts (20 per m…

  • LBS Tag Cloud

    Open Access•Xiaoqiang Cheng, Zhongyu Liu et al.•ARTICLE•ISPRS International Journal of…•2023

    Taking location-based service (LBS) as the research scenario and aiming at the limitation of visualizing LBS points of interest (POI) in conventional web maps, this article proposes a visualization method of LBS-POI based on tag cloud, which is called “LBS tag cloud”. In this method, the user location is taken as the layout center, and the name of the POI is converted into a text tag and then placed around the center. The tags’ size, color, and p…

  • MSLF

    Xiaoqiang Cheng, Zhongyu Liu et al.•ARTICLE•Cartography and Geographic…•2021

    Modern technology has given thousands of amateur cartographers not only the opportunity but also the means to make a valuable contribution to mapping at all scales. However, web maps made by amateurs are prone to legibility shortcomings, such as coalescence, complexity, and congestion. These problems can be solved by map generalization; however, for amateurs participating in web mapping, the crucial decision is when to activate generalization. Su…

No prominent works on this page.

  • MSLF

    Xiaoqiang Cheng, Zhongyu Liu et al.•ARTICLE•Cartography and Geographic…•2021

    Modern technology has given thousands of amateur cartographers not only the opportunity but also the means to make a valuable contribution to mapping at all scales. However, web maps made by amateurs are prone to legibility shortcomings, such as coalescence, complexity, and congestion. These problems can be solved by map generalization; however, for amateurs participating in web mapping, the crucial decision is when to activate generalization. Su…

  • LBS Tag Cloud

    Open Access•Xiaoqiang Cheng, Zhongyu Liu et al.•ARTICLE•ISPRS International Journal of…•2023

    Taking location-based service (LBS) as the research scenario and aiming at the limitation of visualizing LBS points of interest (POI) in conventional web maps, this article proposes a visualization method of LBS-POI based on tag cloud, which is called “LBS tag cloud”. In this method, the user location is taken as the layout center, and the name of the POI is converted into a text tag and then placed around the center. The tags’ size, color, and p…

  • Comparative evaluation of the quality, reliability, and readability of five large language model responses to frequently asked questions on gestational hypertension

    Open Access•Zhongyu Liu, Pengfei Tong et al.•ARTICLE•Frontiers in Public Health•2026

    Objective: This study aims to clarify the impact of Large Language Models (LLMs) and health education content categories on generated text quality (patient education appropriateness and overall quality) and readability, providing empirical evidence for the standardized application of LLMs-assisted health communication. Methods: Five mainstream models (Doubao, Deep Seek, Wenxin Yiyan, Gemini and GPT-5) were selected to generate 100 texts (20 per m…

Artificial Intelligence (2 works) · Cartography (2 works) · Computer Science (2 works) · Data Management and Algorithms (2 works) · Geographic Information Systems Studies (2 works) · Geography (2 works) · Cartographic generalization (1 work) · Cloud computing (1 work) · Computer network (1 work) · Computer vision (1 work)

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