Xin Gu

1.7k citations
76 papers · 971 indexed · 1 hit paper · h-index 15
Topics
Cultural Industries and Urban Development (23 papers)Crime Patterns and Interventions (5 papers)Video Surveillance and Tracking Methods (3 papers)

In The Last Decade

Xin Gu

72 papers receiving 912 citations

Hit Papers

Comprehensive review of machine learning in geotechnical ...20232026202420252023255075100

Peers

Xin Gu
Comparison fields: 5 of 133
  • Urban Studies 285
  • Sociology and Political Science 208
  • Artificial Intelligence 134
  • Economics and Econometrics 96
  • Computer Vision and Pattern Recognition 92
Replace Julian Thomas with:
Julian Thomas Australia
Neil Leach United States
Sarah Williams United States
Laura Di Pietro Italy
Liam Magee Australia
Dana Cuff United States
Stephen Boyd United Kingdom
Stanislav Sobolevsky United States
Chen Kim Lim Malaysia
Andrea Ballatore United Kingdom
Xin Gu relative to Julian Thomas Australia Julian Thomas's profile →
Citations per field
00.5×9.5×
Julian Thomas · 1×
Citations per year

Countries citing papers authored by Xin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Xin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Gu. A scholar is included among the top collaborators of Xin Gu 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 Xin Gu. Xin Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 6
5 0
6 1
7 1
8 3
9
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challengesbreakdown →
112
10 2
11 2
12 9
13 23
14
Spatial Differentiation and Influencing Factors of Wuhan's Housing Price Based on GWR Model
2
15
Creative industry clusters in Shanghai: a success story?
3
16
Large screens and the transnational public sphere
1
17
The art of re-industrialisation in Shanghai
2
18
The Study on Foundations of HOPSCA's Formation
2
19
A new modernity? The arrival of ‘creative industries’ in China
7
20
Microbiology, immunology, and vaccination
2

About Xin Gu

Xin Gu is a scholar working on Urban Studies, Museology and Health Informatics, having authored 76 papers that have together received 971 indexed citations. Recurring topics across this work include Cultural Industries and Urban Development (23 papers), Crime Patterns and Interventions (5 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Urban Studies (285 citations), Health Informatics (15 citations) and Museology (37 citations). Xin Gu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Justin O’Connor, Hong Li, Liang Han, Lin Wang, Wengang Zhang, Fariza Sabrina, Shaleeza Sohail, Zongwen Fan, Neil Selwyn and Mark Andrejevic. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

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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