Canhui Wang

440 citations
8 papers · 174 indexed · h-index 5
Topics
Web Data Mining and Analysis (4 papers)Advanced Text Analysis Techniques (3 papers)Complex Network Analysis Techniques (2 papers)
Partner nations
ChinaHong Kong

In The Last Decade

Canhui Wang

8 papers receiving 164 citations

Peers

Canhui Wang
Comparison fields: 5 of 42
  • Artificial Intelligence 114
  • Information Systems 88
  • Statistical and Nonlinear Physics 54
  • Computer Networks and Communications 20
  • Computer Vision and Pattern Recognition 19
Replace Ying Sha with:
Ying Sha China
Courtney Wade United States
Kristen Summers United States
Luchen Tan Canada
Rushin Shah United States
Adam Winkel United States
Deqing Yang China
Jerry Scripps United States
Benoît Dumoulin United States
Wu-Jun Li China
Canhui Wang relative to Ying Sha China Ying Sha's profile →
Citations per field
00.5×5.7×
Ying Sha · 1×
Citations per year

Countries citing papers authored by Canhui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Canhui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canhui Wang

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 4
2 25
3
Design and verification of detective device of boron meter
1
4 76
5 14
6 51
7 2
8
Finding "Abstract Fields" of Web Pages and Query Specific Retrieval -- THUIR at TREC 2004 web track *
1

About Canhui Wang

Canhui Wang is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 8 papers that have together received 174 indexed citations. Recurring topics across this work include Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (3 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (54 citations), Information Systems (88 citations) and Artificial Intelligence (114 citations). Canhui Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Shaoping Ma, Liyun Ru, Min Zhang, Min Zhang, Xiaowen Chu, Yang Qin, Ruonan Li, Yiqun Liu and Hongbo Wang. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Network Science and Engineering and Text REtrieval Conference.

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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