Biao Wang
- Water Science and Technology top 5%
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- Formal Methods in Verification 8
- Computational Drug Discovery Methods 4
- Organic Chemistry top 10%
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- Gene Regulatory Network Analysis 34
- Receptor Mechanisms and Signaling 14
- Microbial Metabolic Engineering and Bioproduction 10
- Plant Gene Expression Analysis 5
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- Molecular Communication and Nanonetworks 9
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- Bacterial Genetics and Biotechnology 5
- Co-authors
- Jun‐e FengTao WuBaoyu GaoYujiang LiFengjuan LuDejun SunXia LiYongyuan Yu
- Cited by
- Water Science and TechnologyIndustrial and Manufacturing EngineeringComputational Theory and Mathematics
- Journals
- Information Sciences (4 papers)Journal of the Franklin Institute (4 papers)International Journal of Control (3 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Biao Wang
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Water Science and Technology 286
- Industrial and Manufacturing Engineering 95
- Computational Theory and Mathematics 130
- Computational Mathematics 4
- Organic Chemistry 187
Countries citing papers authored by Biao Wang
This map shows the geographic impact of Biao 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 Biao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Biao Wang more than expected).
Fields of papers citing papers by Biao Wang
This network shows the impact of papers produced by Biao 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 Biao Wang. The network helps show where Biao Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Biao 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 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 9 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 4 | |
| 15 | 2014 | 50 | |
| 16 | Research on service transferring for mobile terminal in VHE | 2012 | 2 |
| 17 | 2008 | 79 | |
| 18 | 2006 | 9 | |
| 19 | The Conic Curves over Z_n and Public-Key Cryptosystem Protocol | 2005 | 14 |
| 20 | Public-key Cryptosystem Based on the Conic Curves over Z_n | 2005 | 4 |
About Biao Wang
Biao Wang is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biophysics, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (34 papers), Receptor Mechanisms and Signaling (14 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Molecular Communication and Nanonetworks (9 papers), Formal Methods in Verification (8 papers), Plant Gene Expression Analysis (5 papers), Bacterial Genetics and Biotechnology (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Water Science and Technology (286 citations), Industrial and Manufacturing Engineering (95 citations) and Computational Theory and Mathematics (130 citations). Biao Wang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jun‐e Feng, Tao Wu, Baoyu Gao, Yujiang Li, Jun‐e Feng, Fengjuan Lu, Dejun Sun, Xia Li, Yongyuan Yu and Wenyuan Xu. Their work appears in journals such as Information Sciences, Journal of the Franklin Institute, International Journal of Control, Neurocomputing and Nonlinear Analysis Hybrid 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.