Sile Wang

617 citations
21 papers · 357 · h-index 8

Impact in

Papers in

Sile Wang

18 papers receiving 346 citations

Peers

Sile Wang
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 109
  • Industrial and Manufacturing Engineering 53
  • Analytical Chemistry 42
  • Media Technology 27
  • Plant Science 104
Replace Wenzhu Yang with:
Wenzhu Yang China
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Dı́bio Leandro Borges Brazil
Hari Kishan Kondaveeti India
Md. Mehedi Hasan Bangladesh
Guoliang Yang China
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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-authors

The 25 scholars most cited alongside Sile Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sile Wang Line = papers co-authored together Sile Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015106
2 201070
3 202148
4 201739
5 201918
6 201017
7 202015
8 201815
9 20237
10 20127
11 20233
12 20233
13 20153
14
Classification of cotton foreign fibers based on multi-class support vector machine
20111
15 20131
16 20241
17 20181
18 20151
19 20131
20
From C to C++ Programming Model of the Rapid Transformation
20100

About Sile Wang

Sile Wang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Polymers and Plastics, Molecular Biology and Artificial Intelligence, having authored 21 papers that have together received 357 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (6 papers), Textile materials and evaluations (4 papers), Pluripotent Stem Cells Research (2 papers), Image and Object Detection Techniques (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Image Processing Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (109 citations), Industrial and Manufacturing Engineering (53 citations), Analytical Chemistry (42 citations), Media Technology (27 citations) and Plant Science (104 citations). Sile Wang has collaborated with scholars based in China, Macao and South Korea. Frequent co-authors include Wenzhu Yang, Daoliang Li, Xiaolan Zhao, Jingsi Zhang, Jiaqi Feng, Xiangyang Chen, Liping Chen, Zhenchao Cui, Qing Liu and Liping Chen. Their work appears in journals such as Mathematical and Computer Modelling, Information Processing in Agriculture, Biomaterials, Computers and Electronics in Agriculture and Cell Proliferation.

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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