Weiwei Hui
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- RNA modifications and cancer
- Gene expression and cancer classification
- Circular RNAs in diseases
Papers in
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- Plasma and Flow Control in Aerodynamics 6
- Aerodynamics and Fluid Dynamics Research 4
- Rocket and propulsion systems research 3
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- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 4
- Gene expression and cancer classification 4
- Co-authors
- Jiajie Peng (7 shared papers)Xuequn Shang (6 shared papers)Bolin Chen (2 shared papers)Qinghua Jiang (2 shared papers)Zhongyu Wei (1 shared paper)Qianqian Li (1 shared paper)Jianye Hao (1 shared paper)Yadong Wang (2 shared papers)
- Journals
- BMC Bioinformatics (2 papers)Physics of Fluids (2 papers)Methods (1 paper)Propellants Explosives Pyrotechnics (1 paper)BMC Genomics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Weiwei Hui
16 papers receiving 331 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 112
- Molecular Biology 251
- Computational Theory and Mathematics 37
- Computational Mathematics 1
- Aerospace Engineering 40
Countries citing papers authored by Weiwei Hui
This map shows the geographic impact of Weiwei Hui'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 Weiwei Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Hui more than expected).
Fields of papers citing papers by Weiwei Hui
This network shows the impact of papers produced by Weiwei Hui. 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 Weiwei Hui. The network helps show where Weiwei Hui may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiwei Hui, 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 | 2019 | 142 | |
| 2 | 2017 | 47 | |
| 3 | 2018 | 42 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 18 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 7 | |
| 10 | 2023 | 5 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2022 | 0 |
About Weiwei Hui
Weiwei Hui is a scholar working on Aerospace Engineering, Molecular Biology, Computational Mechanics, Mechanics of Materials and Computational Theory and Mathematics, having authored 17 papers that have together received 335 indexed citations. Recurring topics across this work include Plasma and Flow Control in Aerodynamics (6 papers), Bioinformatics and Genomic Networks (6 papers), Aerodynamics and Fluid Dynamics Research (4 papers), Biomedical Text Mining and Ontologies (4 papers), Gene expression and cancer classification (4 papers), Fluid Dynamics and Turbulent Flows (4 papers), Computational Drug Discovery Methods (3 papers) and Rocket and propulsion systems research (3 papers). The work is most often cited by research in Cancer Research (112 citations), Molecular Biology (251 citations), Computational Theory and Mathematics (37 citations), Computational Mathematics (1 citation) and Aerospace Engineering (40 citations). Weiwei Hui has collaborated with scholars based in China and United States. Frequent co-authors include Jiajie Peng, Xuequn Shang, Bolin Chen, Qinghua Jiang, Zhongyu Wei, Qianqian Li, Jianye Hao, Yadong Wang, Xuanshi Meng and Huaxing Li. Their work appears in journals such as BMC Bioinformatics, Physics of Fluids, Methods, Propellants Explosives Pyrotechnics and BMC Genomics.
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.