Weilian Li

62 papers receiving 975 citations

Hit Papers

A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods 2024 · 41 citations
410+1Years since publication10203040

Peers

Weilian Li
Comparison fields: 5 of 124
  • Geography, Planning and Development 156
  • Geology 132
  • Human-Computer Interaction 74
  • Transportation 83
  • Ocean Engineering 188
Replace Jun Zhu with:
Jun Zhu China
Ya Hu China
Jianhua Gong China
Mingyuan Hu Hong Kong
Yakun Xie China
Songnian Li Canada
Volker Coors Germany
Rudi Stouffs Singapore
Jiping Liu China
Liqiu Meng Germany
Weilian Li relative to Jun Zhu China Jun Zhu's profile →
Citations per field
00.5×1.5×
Jun Zhu · 1×
Citations per year

Countries citing papers authored by Weilian Li

Since Specialization
Citations

This map shows the geographic impact of Weilian Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weilian Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weilian Li more than expected).

Fields of papers citing papers by Weilian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weilian Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weilian Li. The network helps show where Weilian Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Weilian Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weilian Li Line = papers co-authored together Weilian Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020125
2 202061
3 202145
4 202341
5
A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods
Hit paper breakdown →
202441
6 202340
7 202036
8
[Randomized phase II trial on escalated doses of Rh-endostatin (YH-16) for advanced non-small cell lung cancer].
200635
9 202233
10 202333
11 202431
12 201928
13 202127
14 202327
15 201825
16 202424
17 202022
18 202122
19 202121
20 201619

About Weilian Li

Weilian Li is a scholar working on Global and Planetary Change, Ocean Engineering, Geography, Planning and Development, Computer Vision and Pattern Recognition and Geology, having authored 64 papers that have together received 991 indexed citations. Recurring topics across this work include Geographic Information Systems Studies (14 papers), Flood Risk Assessment and Management (13 papers), Evacuation and Crowd Dynamics (10 papers), 3D Surveying and Cultural Heritage (9 papers), Virtual Reality Applications and Impacts (6 papers), Hydrocarbon exploration and reservoir analysis (6 papers), Disaster Management and Resilience (6 papers) and Simulation and Modeling Applications (5 papers). The work is most often cited by research in Geography, Planning and Development (156 citations), Geology (132 citations), Human-Computer Interaction (74 citations), Transportation (83 citations) and Ocean Engineering (188 citations). Weilian Li has collaborated with scholars based in China, Germany and Iran. Frequent co-authors include Jun Zhu, Lin Fu, Qing Zhu, Yakun Xie, Ya Hu, Pei Dang, Yukun Guo, Jianlin Wu, Jinbin Zhang and Yungang Cao. Their work appears in journals such as ISPRS International Journal of Geo-Information, International Journal of Digital Earth, Transactions in GIS, Natural Hazards and International Journal of Applied Earth Observation and Geoinformation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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