Ryan Zhenqi Zhou

15 papers receiving 205 citations

Hit Papers

Geo-knowledge-guided GPT models improve the extraction of...20232026202420252023255075

Peers

Ryan Zhenqi Zhou
Comparison fields: 5 of 70
  • Transportation 60
  • Global and Planetary Change 54
  • Artificial Intelligence 48
  • Geography, Planning and Development 33
  • Sociology and Political Science 27
Replace Youngok Kang with:
Youngok Kang South Korea
Alina Ristea United States
Jinwen Xu United States
Nianxue Luo China
Franz‐Benjamin Mocnik Germany
J.J. Verplanke Netherlands
Mingyue Lu China
Aiman Soliman United States
Kiumars Soltani United States
Ryan Zhenqi Zhou relative to Youngok Kang South Korea Youngok Kang's profile →
Citations per field
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Youngok Kang · 1×
Citations per year

Countries citing papers authored by Ryan Zhenqi Zhou

Since Specialization
Citations

This map shows the geographic impact of Ryan Zhenqi Zhou'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 Ryan Zhenqi Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Zhenqi Zhou more than expected).

Fields of papers citing papers by Ryan Zhenqi Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Zhenqi Zhou. 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 Ryan Zhenqi Zhou. The network helps show where Ryan Zhenqi Zhou may publish in the future.

Co-authorship network of co-authors of Ryan Zhenqi Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan Zhenqi Zhou. A scholar is included among the top collaborators of Ryan Zhenqi Zhou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryan Zhenqi Zhou. Ryan Zhenqi Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messagesbreakdown →
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About Ryan Zhenqi Zhou

Ryan Zhenqi Zhou is a scholar working on Transportation, Geography, Planning and Development and Health, Toxicology and Mutagenesis, having authored 16 papers that have together received 209 indexed citations. Recurring topics across this work include Urban Transport and Accessibility (10 papers), Urban Green Space and Health (5 papers) and Geographic Information Systems Studies (3 papers). The work is most often cited by research in Transportation (60 citations), Geography, Planning and Development (33 citations) and Global and Planetary Change (54 citations). Ryan Zhenqi Zhou has collaborated with scholars based in United States, China and Botswana. Frequent co-authors include Yingjie Hu, Zhen Xu, Kenneth Joseph, Kristy Choi, Ni Lao, Chris Cundy, Gengchen Mai, Wei Liu, Yue Ma and Kai Sun. Their work appears in journals such as International Journal of Environmental Research and Public Health, International Journal of Applied Earth Observation and Geoinformation and Computers Environment and Urban Systems.

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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