Suyu Wang

881 citations
63 papers · 627 · h-index 15

Impact in

Papers in

Suyu Wang

58 papers receiving 615 citations

Peers

Suyu Wang
Comparison fields: 5 of 93
  • Condensed Matter Physics 81
  • Computer Vision and Pattern Recognition 122
  • Media Technology 48
  • Automotive Engineering 64
  • Control and Systems Engineering 122
Replace Muhammad Firdaus Akbar with:
Muhammad Firdaus Akbar Malaysia
Yongkang Luo China
Zhenbang Xu China
Bing Gao China
Riccardo Carotenuto Italy
Juan Carlos García-Prada Spain
Samanta Piano United Kingdom
Hui Tang China
Marco Marcon Italy
Suyu Wang relative to Muhammad Firdaus Akbar Malaysia Muhammad Firdaus Akbar's profile →
Citations per field
00.5×10×
Muhammad Firdaus Akbar · 1×
Citations per year

Countries citing papers authored by Suyu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Suyu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 200941
3 202138
4 201837
5 202236
6 202133
7 201831
8 202326
9 200223
10 200522
11 202219
12 202317
13 202016
14 201116
15 202214
16 200713
17 200913
18 202012
19 201710
20 20089

About Suyu Wang

Suyu Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Mechanical Engineering, Control and Systems Engineering and Artificial Intelligence, having authored 63 papers that have together received 627 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Advanced Image Processing Techniques (8 papers), Advanced Image Fusion Techniques (8 papers), Magnetic Bearings and Levitation Dynamics (6 papers), Anomaly Detection Techniques and Applications (5 papers), Physics of Superconductivity and Magnetism (5 papers), Video Surveillance and Tracking Methods (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Condensed Matter Physics (81 citations), Computer Vision and Pattern Recognition (122 citations), Media Technology (48 citations), Automotive Engineering (64 citations) and Control and Systems Engineering (122 citations). Suyu Wang has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Yuxin Xu, Jiasu Wang, Wenquan Wang, Yingtao Tian, Endi Zhai, Xiaoguang Li, Chengshun Xu, Xinge Zhang, Kin‐Man Lam and Guoping Qiu. Their work appears in journals such as Materialia, Neurocomputing, Journal of Materials Research and Technology, Journal of Manufacturing Processes and Agronomy.

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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