Bingyi Wang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Machine Learning in Bioinformatics
- Extracellular vesicles in disease
- Protein Structure and Dynamics
- Circular RNAs in diseases
Papers in
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- Machine Learning in Bioinformatics 4
- Metabolomics and Mass Spectrometry Studies 3
- Extracellular vesicles in disease 3
- Gut microbiota and health 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Weihua Li (8 shared papers)Yanbu Guo (5 shared papers)Li Yang (1 shared paper)Quanning Chen (1 shared paper)Shuai Xiao (1 shared paper)Yufeng Wang (1 shared paper)Dongming Zhou (1 shared paper)Tao Liu (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Journal of Cellular Biochemistry (1 paper)RSC Advances (1 paper)Journal of Bioinformatics and Computational Biology (1 paper)Journal of Affective Disorders (1 paper)
- Partner nations
- ChinaSwitzerlandCanada
In The Last Decade
Bingyi Wang
31 papers receiving 586 citations
Peers
Comparison fields: 5 of 106
- Cancer Research 123
- Molecular Biology 352
- Computational Theory and Mathematics 53
- Immunology 59
- Rheumatology 30
Countries citing papers authored by Bingyi Wang
This map shows the geographic impact of Bingyi 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 Bingyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyi Wang more than expected).
Fields of papers citing papers by Bingyi Wang
This network shows the impact of papers produced by Bingyi 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 Bingyi Wang. The network helps show where Bingyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingyi 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2022 | 88 | |
| 3 | 2019 | 71 | |
| 4 | 2020 | 71 | |
| 5 | 2018 | 49 | |
| 6 | 2022 | 39 | |
| 7 | 2021 | 33 | |
| 8 | 2022 | 30 | |
| 9 | 2024 | 28 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2023 | 8 | |
| 13 | 2008 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2024 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2023 | 2 |
About Bingyi Wang
Bingyi Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics, General Health Professions, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 36 papers that have together received 590 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Machine Learning in Bioinformatics (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Extracellular vesicles in disease (3 papers), Gut microbiota and health (2 papers), Topic Modeling (2 papers), Meta-analysis and systematic reviews (2 papers) and Clinical practice guidelines implementation (2 papers). The work is most often cited by research in Cancer Research (123 citations), Molecular Biology (352 citations), Computational Theory and Mathematics (53 citations), Immunology (59 citations) and Rheumatology (30 citations). Bingyi Wang has collaborated with scholars based in China, Switzerland and Canada. Frequent co-authors include Weihua Li, Yanbu Guo, Li Yang, Quanning Chen, Shuai Xiao, Yufeng Wang, Dongming Zhou, Tao Liu, Huiqing Liu and Qiang Peng. Their work appears in journals such as Analytical Chemistry, Journal of Cellular Biochemistry, RSC Advances, Journal of Bioinformatics and Computational Biology and Journal of Affective Disorders.
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.