Jianzhen Liu
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- Cancer-related molecular mechanisms research 2
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- Advanced Optimization Algorithms Research 6
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- Optimization and Variational Analysis 4
- Matrix Theory and Algorithms 3
- Applied Mathematics top 10%
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- Advanced Numerical Analysis Techniques 4
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- Synthesis and biological activity 3
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- Bioactive Compounds and Antitumor Agents 2
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- Eicosanoids and Hypertension Pharmacology 2
- Co-authors
- Yanqiang ChenTin-Yau TamYi DangZhuo‐Heng HeYongjun WangYong WangGuisen ZhaoShucai Wu
- Journals
- The Visual Computer (2 papers)Anti-Cancer Drugs (2 papers)Journal of Optimization Theory and Applications (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jianzhen Liu
31 papers receiving 366 citations
Peers
Comparison fields: 5 of 96
- Computational Mathematics 7
- Cancer Research 119
- Numerical Analysis 26
- Computational Theory and Mathematics 70
- Applied Mathematics 33
Countries citing papers authored by Jianzhen Liu
This map shows the geographic impact of Jianzhen Liu'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 Jianzhen Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianzhen Liu more than expected).
Fields of papers citing papers by Jianzhen Liu
This network shows the impact of papers produced by Jianzhen Liu. 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 Jianzhen Liu. The network helps show where Jianzhen Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jianzhen Liu, 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 | 0 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 4 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 5 | |
| 14 | 2015 | 6 | |
| 15 | 2015 | 8 | |
| 16 | 2015 | 3 | |
| 17 | 2013 | 16 | |
| 18 | 2013 | 7 | |
| 19 | 2011 | 1 | |
| 20 | [Effects of Na-FA on gastrointestinal movement and gastric ulcer in mice]. | 2011 | 4 |
About Jianzhen Liu
Jianzhen Liu is a scholar working on Numerical Analysis, Toxicology and Computational Theory and Mathematics, having authored 35 papers that have together received 375 indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (6 papers), Optimization and Variational Analysis (4 papers), Advanced Numerical Analysis Techniques (4 papers), Synthesis and biological activity (3 papers), Matrix Theory and Algorithms (3 papers), Bioactive Compounds and Antitumor Agents (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Computational Mathematics (7 citations), Cancer Research (119 citations) and Numerical Analysis (26 citations). Jianzhen Liu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanqiang Chen, Tin-Yau Tam, Yi Dang, Zhuo‐Heng He, Yongjun Wang, Yongjun Wang, Yong Wang, Guisen Zhao, Shucai Wu and Hezhi Luo. Their work appears in journals such as The Visual Computer, Anti-Cancer Drugs, Journal of Optimization Theory and Applications, Drug Discoveries & Therapeutics and Journal of Cellular Biochemistry.
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.