Weiqiang Wang

1.3k citations
51 papers · 680 indexed · h-index 16
Topics
Handwritten Text Recognition Techniques (20 papers)Algebraic structures and combinatorial models (17 papers)Advanced Topics in Algebra (14 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Weiqiang Wang

48 papers receiving 643 citations

Peers

Weiqiang Wang
Comparison fields: 5 of 78
  • Computer Vision and Pattern Recognition 426
  • Media Technology 150
  • Geometry and Topology 148
  • Algebra and Number Theory 119
  • Artificial Intelligence 110
Replace Mirkó Visontai with:
Mirkó Visontai United States
D.H. Johnson United States
Jean‐Thierry Lapresté France
Jacob Yadegar United States
Marko Boben Slovenia
Michael M. Hoffmann Switzerland
Predrag Neskovic United States
Hiroki Hashiguchi Japan
G.H. Freeman Canada
Vugar E. Ismailov Azerbaijan
Weiqiang Wang relative to Mirkó Visontai United States Mirkó Visontai's profile →
Citations per field
00.5×10×15×18.8×
Mirkó Visontai · 1×
Citations per year

Countries citing papers authored by Weiqiang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weiqiang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiqiang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weiqiang Wang. A scholar is included among the top collaborators of Weiqiang 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 Weiqiang Wang. Weiqiang Wang 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 11
4 14
5 2
6 13
7 21
8 13
9 24
10 38
11 5
12 16
13 31
14 4
15 10
16 14
17 8
18 5
19 12
20 26

About Weiqiang Wang

Weiqiang Wang is a scholar working on Algebra and Number Theory, Geometry and Topology and Computer Vision and Pattern Recognition, having authored 51 papers that have together received 680 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (20 papers), Algebraic structures and combinatorial models (17 papers) and Advanced Topics in Algebra (14 papers). The work is most often cited by research in Algebra and Number Theory (119 citations), Computer Vision and Pattern Recognition (426 citations) and Geometry and Topology (148 citations). Weiqiang Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ke Lü, Ji Gan, Shun‐Jen Cheng, Jianshe Zhou, Xiaoqian Liu, Naihuan Jing, Igor Frenkel, Xiaobin Li, Dawei Du and Lianlei Shan. Their work appears in journals such as IEEE Access, Sensors and Pattern Recognition.

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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