Weilian Li

Faculty of Geosciences and Engineering

Southwest Jiaotong University

Xi'an road 999, 611756 Chengdu, China

Hello, thanks for visiting my homepage!

I am Weilian Li, working in the Faculty of Geosciences and Engineering at Southwest Jiaotong University, Chengdu, China. I received my Ph.D. in Geomatics Science and Technology at Southwest Jiaotong University, China, in December 2020. Then, I finished my postdoc research stay in the Geoinformation Group chaired by Prof. Dr.-Ing. Jan-Henrik Haunert at the University of Bonn, Germany, in October 2023. Additionally, I had one year stay as a Senior Research Associate in the Computational Methods Lab led by Prof. Dr.-Ing. Youness Dehbi at the HafenCity University Hamburg, Germany.

My research primarily focuses on the application of Geographic Information Systems (GIS) in disaster management, but also methodological expertise in Machine Learning. I have a strong interest in topics related to smart cities, disaster management, and digital twins.

Additionally, I hold the position of Topic Editor at the journal Big Earth Data and actively contribute to the GIS community as the secretary of the ISPRS ICWG III/IVa on Disaster Management and representative of the UN-GGIM Academic Network.

News

Jan 1, 2026	I’m pleased that our article entitled “Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to facilitate cycling safety assessment” has been published by the International Journal of Geographical Information Science.
Nov 8, 2025	In November 2025, I was honored as a “Rising Star” at the Chinese GIS Forum, recognizing the growing influence of young professionals in the field of Geographic Information Science.

Selected Publications

Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to facilitate cycling safety assessment

Weilian Li, Jannik Matijevic, Christof Beil, and 3 more authors

International Journal of Geographical Information Science, 2025

Bib HTML PDF

@article{li2025Bidirectional,
  title = {Bidirectional enrichment of OpenStreetMap and CityGML 3.0 to facilitate cycling safety assessment},
  author = {Li, Weilian and Matijevic, Jannik and Beil, Christof and Arzoumanidis, Lukas and Kolbe, Thomas H.Kolbe and Dehbi, Youness},
  journal = {International Journal of Geographical Information Science},
  pages = {1--24},
  year = {2025},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}

Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation

Weilian Li, Jan-Henrik Haunert, Axel Forsch, and 3 more authors

International Journal of Geographical Information Science, 2024

Bib HTML PDF

@article{li2024informed,
  title = {Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation},
  author = {Li, Weilian and Haunert, Jan-Henrik and Forsch, Axel and Zhu, Jun and Zhu, Qing and Dehbi, Youness},
  journal = {International Journal of Geographical Information Science},
  pages = {1--22},
  year = {2024},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}

Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization

Weilian Li, Jun Zhu, Qing Zhu, and 3 more authors

International Journal of Geographical Information Science, 2024

Bib HTML PDF

@article{li2024visual,
  title = {Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization},
  author = {Li, Weilian and Zhu, Jun and Zhu, Qing and Zhang, Jinbin and Han, Xiao and Dehbi, Youness},
  journal = {International Journal of Geographical Information Science},
  pages = {1--23},
  year = {2024},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}

An augmented representation method of debris flow scenes to improve public perception

Weilian Li, Jun Zhu, Lin Fu, and 3 more authors

International Journal of Geographical Information Science, 2021

Bib HTML PDF

@article{li2021augmented,
  title = {An augmented representation method of debris flow scenes to improve public perception},
  author = {Li, Weilian and Zhu, Jun and Fu, Lin and Zhu, Qing and Xie, Yakun and Hu, Ya},
  journal = {International Journal of Geographical Information Science},
  volume = {35},
  number = {8},
  pages = {1521--1544},
  year = {2021},
  publisher = {Taylor \& Francis},
  doi = {https://doi.org/10.1080/13658816.2020.1833016},
}

Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study

Weilian Li, Jan-Henrik Haunert, Julius Knechtel, and 3 more authors

Transactions in GIS, 2023

Bib HTML PDF

@article{li2023social,
  title = {Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study},
  author = {Li, Weilian and Haunert, Jan-Henrik and Knechtel, Julius and Zhu, Jun and Zhu, Qing and Dehbi, Youness},
  journal = {Transactions in GIS},
  volume = {27},
  number = {6},
  pages = {1766-1793},
  year = {2023},
  publisher = {Wiley Online Library},
  entrysubtype = {journal},
}

Three-dimensional virtual representation for the whole process of dam-break floods from a geospatial storytelling perspective

Weilian Li, Jun Zhu, Jan-Henrik Haunert, and 3 more authors

International Journal of Digital Earth, 2022

Bib HTML PDF

@article{li2022three,
  title = {Three-dimensional virtual representation for the whole process of dam-break floods from a geospatial storytelling perspective},
  author = {Li, Weilian and Zhu, Jun and Haunert, Jan-Henrik and Fu, Lin and Zhu, Qing and Dehbi, Youness},
  journal = {International Journal of Digital Earth},
  volume = {15},
  number = {1},
  pages = {1637--1656},
  year = {2022},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}