Standout Papers

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) 2023 2026 202469
  1. On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) (2024)
    Gengchen Mai, Weiming Huang et al. ACM Transactions on Spatial Algorithms and Systems
  2. Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages (2023)
    Yingjie Hu, Gengchen Mai et al. International Journal of Geographical Information Systems

Immediate Impact

1 by Nobel laureates 1 from Science/Nature 66 standout
Sub-graph 1 of 18

Citing Papers

BB-GeoGPT: A framework for learning a large language model for geographic information science
2024 Standout
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
2024 Standout
5 intermediate papers

Works of Ni Lao being referenced

Efficient inference and learning in a large knowledge base
2015
Random Walk Inference and Learning in A Large Scale Knowledge Base
2011
and 6 more

Author Peers

Author Last Decade Papers Cites
Ni Lao 542 108 81 118 24 769
Lyna L. Wiggins 403 45 43 68 15 891
Avi Arampatzis 349 103 129 57 50 769
Klaus Berberich 666 47 181 130 35 843
Johannes Hoffart 616 44 102 129 13 714
Spiros Skiadopoulos 491 65 279 99 40 900
Eva Blomqvist 530 29 49 143 36 932
C. R. Ramakrishnan 439 64 178 41 49 744
Lizhu Zhou 389 80 429 103 46 927
Nicholas M. Gotts 180 122 190 137 29 838
Sebastian Neumaier 431 26 41 215 16 768

All Works

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Rankless by CCL
2026