Zhipeng Gui

1.2k citations
75 papers · 754 · 1 hit paper · h-index 18

Impact in

Papers in

Zhipeng Gui

62 papers receiving 731 citations

Zhipeng Gui's Hit Papers

GeoCode-GPT: A large language model for geospatial code generation 2025 · 18 citations
180Years since publication51015

Peers

Zhipeng Gui
Comparison fields: 5 of 105
  • Geography, Planning and Development 160
  • Transportation 124
  • Signal Processing 164
  • Information Systems 163
  • Global and Planetary Change 138
Replace Michael Gould with:
Michael Gould Spain
Yongyao Jiang United States
Chengqi Cheng China
Simon Jirka Germany
Alessandro Annoni Italy
Steve Liang Canada
Anahid Basiri United Kingdom
Christoph Stasch Germany
Ingo Simonis United States
Yoshiharu Ishikawa Japan
Zhipeng Gui relative to Michael Gould Spain Michael Gould's profile →
Citations per field
00.5×9.5×
Michael Gould · 1×
Citations per year

Countries citing papers authored by Zhipeng Gui

Since Specialization
Citations

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

Fields of papers citing papers by Zhipeng Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhipeng Gui. 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 Zhipeng Gui. The network helps show where Zhipeng Gui may publish in the future.

Co-authors

The 25 scholars most cited alongside Zhipeng Gui, 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 Zhipeng Gui Line = papers co-authored together Zhipeng Gui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202254
3 201942
4 201338
5 201432
6 202132
7 201231
8 202028
9 202225
10 202325
11 202219
12 201519
13 202119
14 201919
15
GeoCode-GPT: A large language model for geospatial code generation
Hit paper breakdown →
202518
16 201217
17 202017
18 201417
19 201915
20 201413

About Zhipeng Gui

Zhipeng Gui is a scholar working on Signal Processing, Artificial Intelligence, Geography, Planning and Development, Information Systems and Global and Planetary Change, having authored 75 papers that have together received 754 indexed citations. Recurring topics across this work include Data Management and Algorithms (24 papers), Geographic Information Systems Studies (20 papers), Service-Oriented Architecture and Web Services (13 papers), Semantic Web and Ontologies (11 papers), Human Mobility and Location-Based Analysis (11 papers), Urban Transport and Accessibility (6 papers), Scientific Computing and Data Management (6 papers) and Advanced Database Systems and Queries (6 papers). The work is most often cited by research in Geography, Planning and Development (160 citations), Transportation (124 citations), Signal Processing (164 citations), Information Systems (163 citations) and Global and Planetary Change (138 citations). Zhipeng Gui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huayi Wu, Fa Li, Kunxiaojia Yuan, Chaowei Yang, Jizhe Xia, Jianya Gong, Lan You, Qunying Huang, Zhenlong Li and Rui Li. Their work appears in journals such as Geo-spatial Information Science, ISPRS International Journal of Geo-Information, PLoS ONE, Big Earth Data and Neurocomputing.

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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