OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages
Yingjie Hu, Gengchen Mai, Chris Cundy, et al.
International Journal of Geographical Information Science (2023) Vol. 37, Iss. 11, pp. 2289-2318
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper)
Gengchen Mai, Weiming Huang, Jin Sun, et al.
ACM Transactions on Spatial Algorithms and Systems (2024) Vol. 10, Iss. 2, pp. 1-46
Open Access | Times Cited: 26

GeoGPT: An assistant for understanding and processing geospatial tasks
Yifan Zhang, Wei Cheng, Zhengting He, et al.
International Journal of Applied Earth Observation and Geoinformation (2024) Vol. 131, pp. 103976-103976
Open Access | Times Cited: 25

GPT, large language models (LLMs) and generative artificial intelligence (GAI) models in geospatial science: a systematic review
Siqin Wang, Tao Hu, Xiao Huang, et al.
International Journal of Digital Earth (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 21

BB-GeoGPT: A framework for learning a large language model for geographic information science
Yifan Zhang, Zhiyun Wang, Zhengting He, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103808-103808
Closed Access | Times Cited: 17

MapGPT: an autonomous framework for mapping by integrating large language model and cartographic tools
Yifan Zhang, Zhengting He, Jingxuan Li, et al.
Cartography and Geographic Information Science (2024), pp. 1-27
Closed Access | Times Cited: 11

RB-TRNet: a regularity-guided and boundary-aware architecture for toponym recognition from Chinese text
Haigang Sui, J. J. Wang, Xining Zhang, et al.
Geo-spatial Information Science (2025), pp. 1-15
Open Access | Times Cited: 1

Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques
Marwa K. Elteir
Information (2025) Vol. 16, Iss. 1, pp. 65-65
Open Access | Times Cited: 1

Cross-view geolocalization and disaster mapping with street-view and VHR satellite imagery: A case study of Hurricane IAN
Hao Li, Fabian Deuser, Wenping Yin, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 841-854
Open Access | Times Cited: 1

Enhancing participatory planning with ChatGPT-assisted planning support systems: a hypothetical case study in Seoul
Steven Jige Quan, Syng‐Ook Lee
International Journal of Urban Sciences (2025), pp. 1-34
Closed Access | Times Cited: 1

Exploring the new frontier of information extraction through large language models in urban analytics
Andrew Crooks, Qingqing Chen
Environment and Planning B Urban Analytics and City Science (2024) Vol. 51, Iss. 3, pp. 565-569
Open Access | Times Cited: 7

Map Reading and Analysis with GPT-4V(ision)
Jinwen Xu, Ran Tao
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 4, pp. 127-127
Open Access | Times Cited: 7

Zero-shot urban function inference with street view images through prompting a pretrained vision-language model
Weiming Huang, Jing Wang, Gao Cong
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 7, pp. 1414-1442
Closed Access | Times Cited: 7

Toponym resolution leveraging lightweight and open-source large language models and geo-knowledge
Xuke Hu, Jens Kersten, Friederike Klan, et al.
International Journal of Geographical Information Science (2024), pp. 1-28
Open Access | Times Cited: 7

Automated floodwater depth estimation using large multimodal model for rapid flood mapping
Temitope Akinboyewa, Huan Ning, M. Naser Lessani, et al.
Computational Urban Science (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 4

Geospatial large language model trained with a simulated environment for generating tool-use chains autonomously
Yifan Zhang, Jingxuan Li, Zhiyun Wang, et al.
International Journal of Applied Earth Observation and Geoinformation (2024), pp. 104312-104312
Open Access | Times Cited: 4

Fine-grained flood disaster information extraction incorporating multiple semantic features
Shunli Wang, Rui Li, Huayi Wu, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access

Comparing the Spatial Querying Capacity of Large Language Models: OpenAI’s ChatGPT and Google’s Gemini Pro
Andrea Renshaw, Ismini Lourentzou, Jinhyung Lee, et al.
The Professional Geographer (2025), pp. 1-13
Closed Access

Evaluation of Geographical Distortions in Language Models
Rémy Decoupes, Roberto Interdonato, Mathieu Roche, et al.
Lecture notes in computer science (2025), pp. 86-100
Closed Access

An autonomous GIS agent framework for geospatial data retrieval
Huan Ning, Zhenlong Li, Temitope Akinboyewa, et al.
International Journal of Digital Earth (2025) Vol. 18, Iss. 1
Open Access

Creating a national urban flood dataset for China from news texts (2000–2022) at the county level
Shengnan Fu, David M. Schultz, Heng Lyu, et al.
Hydrology and earth system sciences (2025) Vol. 29, Iss. 3, pp. 767-783
Open Access

GALLOC: a GeoAnnotator for Labeling LOCation descriptions from disaster-related text messages
Kai Sun, Yingjie Hu, Kenneth Joseph, et al.
International Journal of Geographical Information Science (2025), pp. 1-31
Closed Access

LLM-enhanced disaster geolocalization using implicit geoinformation from multimodal data: A case study of Hurricane Harvey
Wenping Yin, Yong Xue, Z. Liu, et al.
International Journal of Applied Earth Observation and Geoinformation (2025) Vol. 137, pp. 104423-104423
Closed Access

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