Jian Liu
- Numerical Analysis top 2%
- Numerical methods for differential equations 19
-
- Magnetic confinement fusion research 42
- Laser-Plasma Interactions and Diagnostics 12
- Aerospace Engineering top 2%
- Particle accelerators and beam dynamics 14
-
- Ionosphere and magnetosphere dynamics 24
-
- Electromagnetic Simulation and Numerical Methods 17
-
- Superconducting Materials and Applications 13
-
- Data Management and Algorithms 9
- Co-authors
- Hong QinYajuan SunJianyuan XiaoHe YangJiubin TanJian‐Ming JinGiles KagmeniHoward Degenholtz
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jian Liu
258 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 182
- Numerical Analysis 292
- Nuclear and High Energy Physics 484
- Atomic and Molecular Physics, and Optics 627
- Aerospace Engineering 446
- Statistical and Nonlinear Physics 209
Countries citing papers authored by Jian Liu
This map shows the geographic impact of Jian 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 Jian Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Liu more than expected).
Fields of papers citing papers by Jian Liu
This network shows the impact of papers produced by Jian 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 Jian Liu. The network helps show where Jian Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jian 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 43 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 5 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 3 | |
| 15 | 2018 | 5 | |
| 16 | 2016 | 13 | |
| 17 | 2016 | 11 | |
| 18 | 2016 | 17 | |
| 19 | An application of variational methods to second-order impulsive differential equation with derivative dependence | 2014 | 15 |
| 20 | AN UNCERTAINTY REASONING SYSTEM BASED ON TROUBLE CALL INFORMATION FOR LOCATING FAULTS ON DISTRIBUTION NETWORK | 2003 | 4 |
About Jian Liu
Jian Liu is a scholar working on Nuclear and High Energy Physics, Numerical Analysis and Astronomy and Astrophysics, having authored 294 papers that have together received 3.2k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (42 papers), Ionosphere and magnetosphere dynamics (24 papers), Numerical methods for differential equations (19 papers), Electromagnetic Simulation and Numerical Methods (17 papers), Particle accelerators and beam dynamics (14 papers), Superconducting Materials and Applications (13 papers), Laser-Plasma Interactions and Diagnostics (12 papers) and Data Management and Algorithms (9 papers). The work is most often cited by research in Numerical Analysis (292 citations), Nuclear and High Energy Physics (484 citations) and Atomic and Molecular Physics, and Optics (627 citations). Jian Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Qin, Yajuan Sun, Jianyuan Xiao, He Yang, Jiubin Tan, Jian‐Ming Jin, Giles Kagmeni, Howard Degenholtz, Lois J. Cutler and Boris Bershadsky. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.
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.