Guoray Cai

1.6k total citations
68 papers, 911 citations indexed

About

Guoray Cai is a scholar working on Artificial Intelligence, Geography, Planning and Development and Mechanical Engineering. According to data from OpenAlex, Guoray Cai has authored 68 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 21 papers in Geography, Planning and Development and 16 papers in Mechanical Engineering. Recurrent topics in Guoray Cai's work include Geographic Information Systems Studies (21 papers), Advanced Surface Polishing Techniques (14 papers) and Advanced machining processes and optimization (13 papers). Guoray Cai is often cited by papers focused on Geographic Information Systems Studies (21 papers), Advanced Surface Polishing Techniques (14 papers) and Advanced machining processes and optimization (13 papers). Guoray Cai collaborates with scholars based in United States, China and Slovakia. Guoray Cai's co-authors include Alan M. MacEachren, Isaac Brewer, Tiening Jin, Bo Yu, Mark Gahegan, William Pike, Eugene J. Lengerich, Sven Fuhrmann, Ingmar Rauschert and Lida Huang and has published in prestigious journals such as Proceedings of the IEEE, Expert Systems with Applications and Journal of Materials Processing Technology.

In The Last Decade

Guoray Cai

63 papers receiving 843 citations

Peers

Guoray Cai
Comparison fields: 5 of 107
  • Geography, Planning and Development 269
  • Mechanical Engineering 193
  • Artificial Intelligence 188
  • Biomedical Engineering 180
  • Signal Processing 138
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Citations per field, relative to Guoray Cai
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Citations per year, relative to Guoray Cai
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Countries citing papers authored by Guoray Cai

Since Specialization
Citations

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

Fields of papers citing papers by Guoray Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoray Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Guoray Cai. A scholar is included among the top collaborators of Guoray Cai 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 Guoray Cai. Guoray Cai 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
# Work Indexed citations
1 0
2
Modeling threats of mass incidents using scenario-based Bayesian network reasoning
1
3
Interactive visualization for topic model curation
8
4
Detecting public sentiment over PM2.5 pollution hazards through analysis of Chinese microblog.
6
5
Coordination of emergency response operations via the event-based awareness mechanism.
2
6 8
7 0
8 3
9 7
10 6
11 65
12 15
13 28
14 22
15 5
16 151
17
Visually-Enabled Geocollaboration To Support Dataexploration Decision-Making
3
18 62
19 5
20
Mapping the Geography of Cyberspace Using Telecommunications Infrastructure Information
5

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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