Gaihua Fu

991 citations
15 papers · 413 indexed · h-index 9
Topics
Semantic Web and Ontologies (7 papers)Infrastructure Resilience and Vulnerability Analysis (5 papers)Geographic Information Systems Studies (4 papers)

In The Last Decade

Gaihua Fu

15 papers receiving 394 citations

Peers

Gaihua Fu
Comparison fields: 5 of 71
  • Geography, Planning and Development 150
  • Signal Processing 123
  • Civil and Structural Engineering 116
  • Artificial Intelligence 112
  • Information Systems 81
Replace Kyoung‐Sook Kim with:
Kyoung‐Sook Kim Japan
Liufeng Tao China
Qinjun Qiu China
Terence L. van Zyl South Africa
Stefano Modafferi Italy
Leandro Tortosa Spain
José F. Vicent Spain
Farshad Hakimpour Iran
Sangmi Lee Pallickara United States
Gaihua Fu relative to Kyoung‐Sook Kim Japan Kyoung‐Sook Kim's profile →
Citations per field
00.5×10×14.5×
Kyoung‐Sook Kim · 1×
Citations per year

Countries citing papers authored by Gaihua Fu

Since Specialization
Citations

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

Fields of papers citing papers by Gaihua Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaihua Fu

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1
A Tool for Global Resilience Analysis of Water Distribution Systems
7
2 67
3 8
4 27
5 17
6 18
7 47
8 26
9 4
10 6
11 107
12 27
13
Building a Geographical Ontology for Intelligent Spatial Search on the Web
43
14 3
15 6

About Gaihua Fu

Gaihua Fu is a scholar working on Geography, Planning and Development, Signal Processing and Statistical and Nonlinear Physics, having authored 15 papers that have together received 413 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Infrastructure Resilience and Vulnerability Analysis (5 papers) and Geographic Information Systems Studies (4 papers). The work is most often cited by research in Geography, Planning and Development (150 citations), Signal Processing (123 citations) and Civil and Structural Engineering (116 citations). Gaihua Fu has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include Richard Dawson, Christopher B. Jones, Sean Wilkinson, Alia I. Abdelmoty, Seth Bullock, Mehdi Khoury, David Finch, Chris Kilsby, Paul Clough and Avi Arampatzis. Their work appears in journals such as The European Physical Journal B, Information Processing & Management and IEEE Systems Journal.

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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