Shuihua Wang
- Health Informatics top 5%
- Neurology top 5%
- Brain Tumor Detection and Classification 16
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- Digital Imaging for Blood Diseases 6
- Medical Image Segmentation Techniques 6
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- COVID-19 diagnosis using AI 13
- Radiomics and Machine Learning in Medical Imaging 7
- Artificial Intelligence top 2%
- AI in cancer detection 14
- Anomaly Detection Techniques and Applications 7
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- EEG and Brain-Computer Interfaces 10
- Co-authors
- Yudong ZhangZheng ZhangSuresh Chandra SatapathyZiquan ZhuShuaiqi LiuSteven Lawrence FernandesZeyu RenXin Zhang
- Journals
- Expert Systems with Applications (2 papers)IEEE Access (8 papers)IEEE Transactions on Fuzzy Systems (4 papers)
- Partner nations
- United KingdomChinaSaudi Arabia
In The Last Decade
Shuihua Wang
60 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 136
- Health Informatics 42
- Neurology 185
- Computer Vision and Pattern Recognition 417
- Radiology, Nuclear Medicine and Imaging 385
- Artificial Intelligence 502
Countries citing papers authored by Shuihua Wang
This map shows the geographic impact of Shuihua 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 Shuihua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuihua Wang more than expected).
Fields of papers citing papers by Shuihua Wang
This network shows the impact of papers produced by Shuihua 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 Shuihua Wang. The network helps show where Shuihua Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuihua 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 15 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 14 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 15 | |
| 14 | 2021 | 31 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 52 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 31 | |
| 20 | 2020 | 41 |
About Shuihua Wang
Shuihua Wang is a scholar working on Neurology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (16 papers), AI in cancer detection (14 papers), COVID-19 diagnosis using AI (13 papers), EEG and Brain-Computer Interfaces (10 papers), Anomaly Detection Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Digital Imaging for Blood Diseases (6 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Health Informatics (42 citations), Neurology (185 citations) and Computer Vision and Pattern Recognition (417 citations). Shuihua Wang has collaborated with scholars based in United Kingdom, China and Saudi Arabia. Frequent co-authors include Yudong Zhang, Zheng Zhang, Suresh Chandra Satapathy, Ziquan Zhu, Shuaiqi Liu, Steven Lawrence Fernandes, Zeyu Ren, Xin Zhang, J. M. Górriz and Majed Alhaisoni. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Fuzzy Systems.
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.