Shuang Wang
- Health Informatics top 1%
- Artificial Intelligence top 1%
- Privacy-Preserving Technologies in Data 36
- Cryptography and Data Security 18
- Quantum Information and Cryptography 7
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 9
- Statistics and Probability top 5%
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- Ethics in Clinical Research 14
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- Respiratory viral infections research 7
- Autophagy in Disease and Therapy 6
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- Systemic Lupus Erythematosus Research 6
- Co-authors
- Xiaoqian JiangLucila Ohno‐MachadoNoman MohammedWenrui DaiMiran KimSamuel ChengHongkai XiongYuhou Xia
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shuang Wang
189 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 194
- Health Informatics 116
- Artificial Intelligence 1.2k
- Health Information Management 118
- Cancer Research 254
- Statistics and Probability 104
Countries citing papers authored by Shuang Wang
This map shows the geographic impact of Shuang 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 Shuang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Wang more than expected).
Fields of papers citing papers by Shuang Wang
This network shows the impact of papers produced by Shuang 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 Shuang Wang. The network helps show where Shuang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuang 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 12 | |
| 11 | 2021 | 2 | |
| 12 | 2020 | 56 | |
| 13 | M2 macrophage infiltration into tumor islets leads to poor prognosis in non-small-cell lung cancer | 2019 | 3 |
| 14 | 2018 | 128 | |
| 15 | 2018 | 38 | |
| 16 | 2018 | 23 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 7 | |
| 19 | 2016 | 40 | |
| 20 | An Approach to Center Selection Based on Minimal Similarity Among Texts | 2008 | 0 |
About Shuang Wang
Shuang Wang is a scholar working on Artificial Intelligence, Toxicology and Rheumatology, having authored 210 papers that have together received 3.1k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (36 papers), Cryptography and Data Security (18 papers), Ethics in Clinical Research (14 papers), Cancer Genomics and Diagnostics (9 papers), Respiratory viral infections research (7 papers), Quantum Information and Cryptography (7 papers), Systemic Lupus Erythematosus Research (6 papers) and Autophagy in Disease and Therapy (6 papers). The work is most often cited by research in Health Informatics (116 citations), Artificial Intelligence (1.2k citations) and Health Information Management (118 citations). Shuang Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoqian Jiang, Lucila Ohno‐Machado, Noman Mohammed, Wenrui Dai, Miran Kim, Samuel Cheng, Hongkai Xiong, Yuhou Xia, Yongsoo Song and Zhanglong Ji. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.
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.