activity
20212026
most citedHyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2026

GIScholarBench: Benchmarking LLM Overconfidence in GIS Research

Zongrng Li, Mingzheng Yang, Lei Zou +8

Large language models (LLMs) are increasingly used in academic research workflows, but scholarly tasks require high factual precision and therefore expose a key weakness: overconfi…

cs.CV2025★ 4 cited

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

Yifan Yang, Lei Zou, Bing Zhou +4

Street-view images offer unique advantages for disaster damage estimation as they capture impacts from a visual perspective and provide detailed, on-the-ground insights. Despite se…

physics.soc-ph2024

Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review

Binbin Lin, Lei Zou, Mingzheng Yang +5

The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse re…

cs.CY2023★ 1 cited

Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media

Binbin Lina, Lei Zoua, Bo Zhao +4

Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users reactions toward critical events. However, social media use varies across demographics,…

physics.soc-ph2021★ 1 cited

Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media

Binbin Lin, Lei Zou, Nick Duffield +7

The Covid-19 has presented an unprecedented challenge to public health worldwide. However, residents in different countries showed diverse levels of Covid-19 awareness during the o…