Sile Wang

593 citations
20 papers · 345 indexed · h-index 8
Topics
Industrial Vision Systems and Defect Detection (6 papers)Textile materials and evaluations (4 papers)Image and Signal Denoising Methods (2 papers)
Partner nations
ChinaMacao

In The Last Decade

Sile Wang

17 papers receiving 336 citations

Peers

Sile Wang
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 104
  • Plant Science 102
  • Ecology 65
  • Industrial and Manufacturing Engineering 52
  • Artificial Intelligence 44
Replace Wenzhu Yang with:
Wenzhu Yang China
Xianjun Yang China
Dı́bio Leandro Borges Brazil
Hari Kishan Kondaveeti India
Md. Mehedi Hasan Bangladesh
Guoliang Yang China
Jiajun Zhuang China
Shuai Feng China
Hongxing Peng China
Sile Wang relative to Wenzhu Yang China Wenzhu Yang's profile →
Citations per field
00.5×1.5×
Wenzhu Yang · 1×
Citations per year

Countries citing papers authored by Sile Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sile Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sile Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sile Wang. A scholar is included among the top collaborators of Sile 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 Sile Wang. Sile 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 1
2 6
3 3
4 46
5 14
6 18
7 14
8 1
9 38
10 1
11 3
12 104
13 0
14 1
15 1
16 6
17
Classification of cotton foreign fibers based on multi-class support vector machine
1
18
From C to C++ Programming Model of the Rapid Transformation
0
19 17
20 70

About Sile Wang

Sile Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Polymers and Plastics, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (6 papers), Textile materials and evaluations (4 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (52 citations), Computer Vision and Pattern Recognition (104 citations) and Analytical Chemistry (40 citations). Sile Wang has collaborated with scholars based in China and Macao. Frequent co-authors include Wenzhu Yang, Daoliang Li, Xiaolan Zhao, Jiaqi Feng, Jingsi Zhang, Xiangyang Chen, Liping Chen, Qing Liu, Liping Chen and Yu Yin. Their work appears in journals such as Biomaterials, Cerebral Cortex and Computers and Electronics in Agriculture.

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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