Shuo Wang
Impact in
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- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in ⓘ
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- Advanced Neural Network Applications 9
- Medical Image Segmentation Techniques 8
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- Conducting polymers and applications 12
- Co-authors
- Xin Yao (5 shared papers)Leandro L. Minku (1 shared paper)Jianwu Jiang (1 shared paper)Shuming Zhao (1 shared paper)Huchuan Lu (2 shared papers)Chengyan Wang (11 shared papers)Gang Yang (1 shared paper)Lihe Zhang (1 shared paper)
- Journals
- Medical Image Analysis (8 papers)Nature Communications (3 papers)Optics Express (2 papers)Solar Energy (2 papers)IEEE Access (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shuo Wang
120 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 901
- Polymers and Plastics 331
- Artificial Intelligence 736
- Health Informatics 25
- Electrical and Electronic Engineering 896
Countries citing papers authored by Shuo Wang
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
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.
All Works
Showing the 20 most-cited of 138 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 → | 2018 | 353 |
| 2 | 2014 | 292 | |
| 3 | 2012 | 223 | |
| 4 | 2020 | 130 | |
| 5 | 2018 | 115 | |
| 6 | 2020 | 114 | |
| 7 | 2020 | 113 | |
| 8 | 2021 | 108 | |
| 9 | 2011 | 90 | |
| 10 | 2017 | 89 | |
| 11 | 2023 | 86 | |
| 12 | 2019 | 77 | |
| 13 | 2010 | 77 | |
| 14 | 2020 | 68 | |
| 15 | 2019 | 62 | |
| 16 | 2023 | 54 | |
| 17 | 2019 | 48 | |
| 18 | 2019 | 40 | |
| 19 | 2021 | 38 | |
| 20 | 2023 | 36 |
About Shuo Wang
Shuo Wang is a scholar working on Computer Vision and Pattern Recognition, Polymers and Plastics, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Health Informatics, having authored 138 papers that have together received 3.2k 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 (9 papers), Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and AI in cancer detection (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (901 citations), Polymers and Plastics (331 citations), Artificial Intelligence (736 citations), Health Informatics (25 citations) and Electrical and Electronic Engineering (896 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, Gang Yang, Lihe Zhang, Ali Borji and Xiang Ruan. Their work appears in journals such as Medical Image Analysis, Nature Communications, Optics Express, Solar Energy and IEEE Access.
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.