Shuigen Wang

649 citations
31 papers · 469 · h-index 13

Impact in

Papers in

    • Image Enhancement Techniques 9
    • Image and Video Quality Assessment 9
    • Advanced Image Processing Techniques 6
    • Image and Signal Denoising Methods 5
    • Advanced Image Fusion Techniques 11
    • Remote-Sensing Image Classification 5

Shuigen Wang

31 papers receiving 462 citations

Peers

Shuigen Wang
Comparison fields: 5 of 67
  • Media Technology 174
  • Computer Vision and Pattern Recognition 203
  • Mechanical Engineering 103
  • Ecology 64
  • Aerospace Engineering 57
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Citations per field
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Citations per year

Countries citing papers authored by Shuigen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuigen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shuigen 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 Shuigen Wang Line = papers co-authored together Shuigen Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201681
2 201667
3 201052
4 201828
5 201527
6 201527
7 201925
8 201522
9 201517
10 202316
11 201716
12 201314
13 202212
14 202310
15 20147
16 20246
17 20245
18 20175
19 20235
20 20234

About Shuigen Wang

Shuigen Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Aerospace Engineering, Mechanical Engineering and Mechanics of Materials, having authored 31 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (11 papers), Image Enhancement Techniques (9 papers), Image and Video Quality Assessment (9 papers), Advanced Image Processing Techniques (6 papers), Remote-Sensing Image Classification (5 papers), Image and Signal Denoising Methods (5 papers), High-Temperature Coating Behaviors (3 papers) and Machine Learning and ELM (3 papers). The work is most often cited by research in Media Technology (174 citations), Computer Vision and Pattern Recognition (203 citations), Mechanical Engineering (103 citations), Ecology (64 citations) and Aerospace Engineering (57 citations). Shuigen Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Chenwei Deng, Baojun Zhao, Guang-Bin Huang, Jian Zhang, Dengfu Chen, Weisi Lin, Xun Liu, Mujun Long, Baoxian Wang and Alan C. Bovik. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Geoscience and Remote Sensing Letters, Journal of Materials Processing Technology, steel research international and Engineering Applications of Artificial Intelligence.

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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