Shuo Wang

5.2k citations
137 papers · 3.3k · 1 hit paper · h-index 30

Impact in

Papers in

Shuo Wang

123 papers receiving 3.3k citations

Shuo Wang's Hit Papers

Detect Globally, Refine Locally: A Novel Approach to Saliency Detection 2018 · 356 citations
3560+2+5Years since publication100200300

Peers

Shuo Wang
Comparison fields: 5 of 173
  • Computer Vision and Pattern Recognition 901
  • Polymers and Plastics 337
  • Artificial Intelligence 721
  • Health Informatics 22
  • Electrical and Electronic Engineering 936
Replace Rizwan Ali Naqvi with:
Rizwan Ali Naqvi South Korea
Peng Yu China
Xinlei Chen China
Zhenhui Li China
Robert Schmitt Germany
Bo Yang China
Hongyan Liu China
Sen Wang China
Jun Wei China
Xiaoming Liu China
Shuo Wang relative to Rizwan Ali Naqvi South Korea Rizwan Ali Naqvi's profile →
Citations per field
00.5×10×20×30×40×46×
Rizwan Ali Naqvi · 1×
Citations per year

Countries citing papers authored by Shuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Detect Globally, Refine Locally: A Novel Approach to Saliency Detection
Hit paper breakdown →
2018356
2 2014293
3 2012227
4 2020133
5 2020127
6 2018116
7 2020115
8 2021112
9 201791
10 201191
11 202388
12 201079
13 201978
14 202067
15 201963
16 202360
17 201948
18 202444
19 202343
20 201941

About Shuo Wang

Shuo Wang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Materials Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 137 papers that have together received 3.3k indexed citations. Recurring topics across this work include Perovskite Materials and Applications (27 papers), Quantum Dots Synthesis And Properties (13 papers), Conducting polymers and applications (12 papers), Chalcogenide Semiconductor Thin Films (10 papers), Advanced Neural Network Applications (8 papers), Medical Image Segmentation Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (901 citations), Polymers and Plastics (337 citations), Artificial Intelligence (721 citations), Health Informatics (22 citations) and Electrical and Electronic Engineering (936 citations). Shuo Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xin Yao, Leandro L. Minku, Jianwu Jiang, Shuming Zhao, Huchuan Lu, Chengyan Wang, Xiang Ruan, Gang Yang, Lihe Zhang and Tiantian Wang. Their work appears in journals such as Medical Image Analysis, Nature Communications, IEEE Access, Journal of Materials Chemistry A and Journal of Biomechanics.

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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