Tao Song
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 23
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 51
- DNA and Biological Computing 48
- Machine Learning in Bioinformatics 20
- Protein Structure and Dynamics 18
- Oceanography top 5%
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence 17
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- Advanced Memory and Neural Computing 18
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- Tropical and Extratropical Cyclones Research 13
- Co-authors
- Linqiang PanAlfonso Rodríguez‐PatónPan ZhengXiangxiang ZengDanya XuFan MengXun WangM. L. Dennis Wong
- Journals
- SHILAP Revista de lepidopterología (1 paper)Bioinformatics (1 paper)PLoS ONE (1 paper)
In The Last Decade
Tao Song
184 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 174
- Computational Theory and Mathematics 769
- Fluid Flow and Transfer Processes 181
- Molecular Biology 2.0k
- Oceanography 216
- Mechanical Engineering 563
Countries citing papers authored by Tao Song
This map shows the geographic impact of Tao Song'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 Tao Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Song more than expected).
Fields of papers citing papers by Tao Song
This network shows the impact of papers produced by Tao Song. 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 Tao Song. The network helps show where Tao Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tao Song, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 22 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 21 | |
| 11 | 2022 | 10 | |
| 12 | 2022 | 42 | |
| 13 | 2021 | 59 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 92 | |
| 16 | 2018 | 4 | |
| 17 | 2015 | 25 | |
| 18 | 2014 | 104 | |
| 19 | 2013 | 40 | |
| 20 | 2000 | 39 |
About Tao Song
Tao Song is a scholar working on Computational Theory and Mathematics, Molecular Biology and Oceanography, having authored 201 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (51 papers), DNA and Biological Computing (48 papers), Computational Drug Discovery Methods (23 papers), Machine Learning in Bioinformatics (20 papers), Protein Structure and Dynamics (18 papers), Advanced Memory and Neural Computing (18 papers), Modular Robots and Swarm Intelligence (17 papers) and Tropical and Extratropical Cyclones Research (13 papers). The work is most often cited by research in Computational Theory and Mathematics (769 citations), Fluid Flow and Transfer Processes (181 citations) and Molecular Biology (2.0k citations). Tao Song has collaborated with scholars based in China, Spain and Malaysia. Frequent co-authors include Linqiang Pan, Alfonso Rodríguez‐Patón, Pan Zheng, Xiangxiang Zeng, Danya Xu, Fan Meng, Xun Wang, Xun Wang, M. L. Dennis Wong and Mario J. Pérez-Jímenez. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.