Bowen Tang
Impact in
-
- Computational Drug Discovery Methods
- Insect Science top 10%
- Insect and Pesticide Research
Papers in
-
- Protein Structure and Dynamics 4
- Insect Resistance and Genetics 3
-
- Security and Verification in Computing 5
- Co-authors
- Meijuan Fang (13 shared papers)Zhenhua Wu (12 shared papers)Ying‐Kun Qiu (7 shared papers)Wu Dai (6 shared papers)Dong Xu (2 shared papers)Chunni Zhang (6 shared papers)Mingxing Tian (2 shared papers)Minghua Wang (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (7 papers)RSC Advances (6 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Journal of Cheminformatics (2 papers)Marine Drugs (2 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Bowen Tang
56 papers receiving 795 citations
Peers
Comparison fields: 5 of 109
- Computational Theory and Mathematics 162
- Insect Science 77
- Pharmacology 88
- Biotechnology 42
- Molecular Biology 269
Countries citing papers authored by Bowen Tang
This map shows the geographic impact of Bowen Tang'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 Bowen Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bowen Tang more than expected).
Fields of papers citing papers by Bowen Tang
This network shows the impact of papers produced by Bowen Tang. 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 Bowen Tang. The network helps show where Bowen Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bowen Tang, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2018 | 66 | |
| 3 | 2018 | 48 | |
| 4 | 2022 | 45 | |
| 5 | 2016 | 44 | |
| 6 | 2019 | 32 | |
| 7 | 2023 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2017 | 28 | |
| 10 | 2016 | 26 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 24 | |
| 13 | 2018 | 22 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 22 | |
| 16 | 2014 | 21 | |
| 17 | 2020 | 17 | |
| 18 | 2018 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2019 | 10 |
About Bowen Tang
Bowen Tang is a scholar working on Molecular Biology, Artificial Intelligence, Signal Processing, Computational Theory and Mathematics and Pharmacology, having authored 62 papers that have together received 799 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (7 papers), Computational Drug Discovery Methods (6 papers), Security and Verification in Computing (5 papers), Protein Structure and Dynamics (4 papers), Insect Resistance and Genetics (3 papers), Neurobiology and Insect Physiology Research (3 papers), Machine Learning in Materials Science (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Computational Theory and Mathematics (162 citations), Insect Science (77 citations), Pharmacology (88 citations), Biotechnology (42 citations) and Molecular Biology (269 citations). Bowen Tang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Meijuan Fang, Zhenhua Wu, Ying‐Kun Qiu, Wu Dai, Dong Xu, Chunni Zhang, Mingxing Tian, Minghua Wang, Beibei Gao and Zhangming Niu. Their work appears in journals such as Journal of Agricultural and Food Chemistry, RSC Advances, IEEE Transactions on Dependable and Secure Computing, Journal of Cheminformatics and Marine Drugs.
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.