Dr. Chenyu Zuo

Research and teaching associate
Geoinformatics
Phone: +49 821 598 2281
Email:
Room: 2031 (B)
Address: Alter Postweg 118, 86159 Augsburg

Contact times only by appointment

Please send a message for setting a time and date.

 

Curriculum/Vitae

Education

2022    Dr. -ing, Magna cum laude, Map-based Dashboard for Social Environment Understanding, Technical University of Munich, Germany

2018    M.Sc. Cartography, Technical University of Munich, Germany

2014    B.Eng. Remote Sensing, Wuhan Univerisity, China

 

Professional Experience

Since 2025   Postdoctoral Researcher at University of Augsburg, Germany
2023-2025    Postdoctoral Researcher at ETH Zürich, Switzerland
2018-2022    Research associate at Technical University of Munich, Germany

02/2018 - 05/2018    Research assistant at Technical University of Munich, Germany

11/2017 - 12/2017    Working student, Esri Germany, Kranzberg, Germany

07/2014 - 04/2015    Research assistant, Wuhan University, China

Research foci

  • spatial cognition and perception
  • geovisualization, visual analytics, and immersive analytics
  • HCI, user experience, and usability

Courses / teaching

Course Home institute Lecturer Semester Type Language

Publications

2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018

2025

Zuo, Chenyu, Wei, Mengyi, Zhang, Puzhen, Chen, Chuan, Meng, Liqiu (2025): Assessing maps for social topic representation: a qualitative content analysis of maps for sustainable mobility. https://doi.org/10.1080/23729333.2024.2392212
PDF | BibTeX | RIS | DOI
Wei, Mengyi, Jiao, Chenjing, Zuo, Chenyu, Hurni, Lorenz, Meng, Liqiu (im Druck): Constructing AI ethics narratives based on real-world data: human-AI collaboration in data-driven visual storytelling. https://doi.org/10.48550/arXiv.2502.00637
BibTeX | RIS | DOI
Zuo, Chenyu, Brülisauer, Fabian, Ivanovic, Stefan, Fu, Cheng (2025): Designing an immersive dashboard for multi-attribute spatiotemporal data.
BibTeX | RIS | URL
Zuo, Chenyu, Fu, Cheng, Ivanovic, Stefan, Brülisauer, Fabian (2025): Exploring immersive analytics for spatiotemporal patterns: a case study on origin-destination data. https://doi.org/10.5281/zenodo.15351165
PDF | BibTeX | RIS | DOI
Yang, Jian, Chen, Cheng, Zuo, Chenyu, Jia, Fenli, Wang, Guangxia (2025): Exploring map design embedding space: a case study of MapLayNet for map layout recommendation.
BibTeX | RIS
Wei, Mengyi, Zhang, Puzhen, Chen, Chuan, Chen, Dongsheng, Zuo, Chenyu, Meng, Liqiu (2025): Mapping AI ethics narratives: evidence from Twitter discourse between 2015 and 2022. https://doi.org/10.1057/s41599-025-04469-9
PDF | BibTeX | RIS | DOI

2024

Wei, Mengyi, Jiao, Chenjing, Zuo, Chenyu, Hurni, Lorenz, Meng, Liqiu (2024): How generative AI supports understanding of an ethically sensitive AI-induced event [Abstract]. https://doi.org/10.5194/ica-abs-8-26-2024
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Balać, Miloš, Grübel, Jascha, Axhausen, Kay W. (2024): OD-Vis: a map-based dashboard for insight discovery of OD data [Abstract]. https://doi.org/10.5194/ica-abs-7-194-2024
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Xu, Yifan, Ding, Linfang, Meng, Liqiu (2024): ST-Map: an interactive map for discovering spatial and temporal patterns in bibliographic data. https://doi.org/10.11947/j.JGGS.2024.0102
PDF | BibTeX | RIS | DOI
Wei, Mengyi, Feng, Yu, Chen, Chuan, Luo, Peng, Zuo, Chenyu, Meng, Liqiu (2024): Unveiling public perception of AI ethics: an exploration on Wikipedia data. https://doi.org/10.1140/epjds/s13688-024-00462-5
PDF | BibTeX | RIS | DOI

2023

Wei, Mengyi, Chen, Chuan, Zuo, Chenyu, Meng, Liqiu (2023): Detecting and visualizing the knowledge structure of AI ethics in Wikipedia data [Abstract]. https://doi.org/10.5194/ica-abs-6-269-2023
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Ding, Linfang, Liu, Xiaoyu, Zhang, Hui, Meng, Liqiu (2023): Map-based dashboard design with open government data for learning and analysis of industrial innovation environment. https://doi.org/10.1080/23729333.2022.2049106
BibTeX | RIS | DOI
Grübel, Jascha, Vivar Rios, Carlos, Zuo, Chenyu, Ossey, Sabrina, Franken, Robin M., Balac, Milos, Xin, Yanan, Axhausen, Kay W., Raubal, Martin, Riba-Grognuz, Oksana (2023): Outlining the Open Digital Twin Platform. https://doi.org/10.1109/swc57546.2023.10448743
BibTeX | RIS | DOI
Keler, Andreas, Ludwig, Sylvia, Zuo, Chenyu (2023): Using interactive space-time cube visualisation for pattern mining in bicycle trajectories and traffic-related parameters. https://doi.org/10.5281/zenodo.7839557
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Grübel, Jascha (2023): Using map-based dashboard to improve geo-knowledge communication: a use case on Digital Twins [Abstract]. https://doi.org/10.5194/ica-abs-6-295-2023
PDF | BibTeX | RIS | DOI

2022

Zuo, Chenyu (2022): Map-based dashboard for social environment understanding.
BibTeX | RIS | URL

Dissertation, Technische Universität München, 2022
Ludwig, Sylvia, Keler, Andreas, Zuo, Chenyu (2022): Method development for the visualisation of bicycle trajectories and traffic related parameters by a space-time cube.
BibTeX | RIS | URL
Zuo, Chenyu, Ding, Linfang, Yang, Zhuo, Meng, Liqiu (2022): Multiscale geovisual analysis of knowledge innovation patterns using big scholarly data. https://doi.org/10.1080/19475683.2022.2027012
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Gao, Mengyao, Ding, Linfang, Meng, Liqiu (2022): Space-time cube for visual queries over metadata of heterogeneous geodata. https://doi.org/10.1007/s42489-022-00096-5
BibTeX | RIS | DOI

2021

Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2021): The reading strategies of a map-based dashboard – acquisition and assessment [Abstract]. https://doi.org/10.5194/ica-abs-3-331-2021
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Zhuo, Y., Ding, L., Meng, L. (2021): Visual analysis of the knowledge innovation environment using big scholarly data.
BibTeX | RIS
Zhang, Hui, Zuo, Chenyu, Ding, Linfang (2021): Visualizing spatiotemporal epidemic clusters on a map-based dashboard: a case study of early COVID-19 cases in Singapore. https://doi.org/10.5194/ica-proc-4-117-2021
PDF | BibTeX | RIS | DOI

2020

Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2020): A feasibility study of map-based dashboard for spatiotemporal knowledge acquisition and analysis. https://doi.org/10.3390/ijgi9110636
PDF | BibTeX | RIS | DOI

2019

Zhu, Ruoxin, Lin, Diao, Jendryke, Michael, Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2019): Geo-tagged social media data-based analytical approach for perceiving impacts of social events. https://doi.org/10.3390/ijgi8010015
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Ding, Linfang, Bogucka, Edyta Paulina, Meng, Liqiu (2019): Map-based dashboards versus storytelling maps. https://doi.org/10.34726/lbs2019.33
PDF | BibTeX | RIS | DOI
Zhu, Ruoxin, Zuo, Chenyu, Lin, Diao (2019): Research on event perception based on geo-tagged social media data. https://doi.org/10.5194/ica-proc-2-157-2019
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Liu, Bing, Ding, Linfang, Bogucka, Edyta Paulina, Meng, Liqiu (2019): Usability test of map-based interactive dashboards using eye movement data. https://doi.org/10.34726/lbs2019.34
PDF | BibTeX | RIS | DOI
Zuo, Chenyu, Ding, Linfang, Meng, Liqiu (2019): Visual analytics for regional economic environment factors based on a dashboard design. https://doi.org/10.5194/ica-proc-2-158-2019
PDF | BibTeX | RIS | DOI

2018

Zuo, Chenyu, Ding, Linfang, Gartner, Georg, Jendryke, Michael (2018): Extraction and visual analysis of negative traffic events from Weibo data. https://doi.org/10.3929/ethz-b-000225604
PDF | BibTeX | RIS | DOI

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