Xia Ji
Impact in
- Mathematical Physics top 5%
- Numerical methods in inverse problems
- Numerical Analysis top 10%
Papers in
-
- Numerical methods in engineering 15
-
- Electromagnetic Simulation and Numerical Methods 15
- Co-authors
- Jiguang Sun (8 shared papers)Xiaodong Liu (9 shared papers)Wei Cai (6 shared papers)Pingwen Zhang (3 shared papers)Bo Zhang (3 shared papers)Hehu Xie (2 shared papers)Huazhong Tang (1 shared paper)Xinliang Xie (3 shared papers)
- Journals
- Journal of Computational Physics (6 papers)Journal of Scientific Computing (6 papers)Nuclear Fusion (6 papers)SIAM Journal on Applied Mathematics (2 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xia Ji
56 papers receiving 663 citations
Peers
Comparison fields: 5 of 69
- Mathematical Physics 211
- Numerical Analysis 49
- Computational Mechanics 182
- Mechanics of Materials 200
- Modeling and Simulation 31
Countries citing papers authored by Xia Ji
This map shows the geographic impact of Xia Ji'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 Xia Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Ji more than expected).
Fields of papers citing papers by Xia Ji
This network shows the impact of papers produced by Xia Ji. 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 Xia Ji. The network helps show where Xia Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia Ji, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 50 | |
| 2 | 2013 | 47 | |
| 3 | 2005 | 36 | |
| 4 | 2012 | 35 | |
| 5 | 2006 | 35 | |
| 6 | 2023 | 32 | |
| 7 | 2019 | 25 | |
| 8 | 2024 | 24 | |
| 9 | 2018 | 24 | |
| 10 | 2022 | 22 | |
| 11 | 2015 | 22 | |
| 12 | 2023 | 21 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2013 | 18 | |
| 16 | 2007 | 15 | |
| 17 | 2015 | 15 | |
| 18 | 2016 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2020 | 14 |
About Xia Ji
Xia Ji is a scholar working on Mechanics of Materials, Electrical and Electronic Engineering, Mathematical Physics, Computational Mechanics and Atomic and Molecular Physics, and Optics, having authored 63 papers that have together received 702 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (15 papers), Electromagnetic Simulation and Numerical Methods (15 papers), Numerical methods in engineering (15 papers), Advanced Numerical Methods in Computational Mathematics (13 papers), Microwave Imaging and Scattering Analysis (12 papers), Geophysical Methods and Applications (8 papers), Magnetic confinement fusion research (8 papers) and Electromagnetic Scattering and Analysis (7 papers). The work is most often cited by research in Mathematical Physics (211 citations), Numerical Analysis (49 citations), Computational Mechanics (182 citations), Mechanics of Materials (200 citations) and Modeling and Simulation (31 citations). Xia Ji has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiguang Sun, Xiaodong Liu, Wei Cai, Pingwen Zhang, Bo Zhang, Hehu Xie, Huazhong Tang, Xinliang Xie, Tiao Lu and Pei Liu. Their work appears in journals such as Journal of Computational Physics, Journal of Scientific Computing, Nuclear Fusion, SIAM Journal on Applied Mathematics and SIAM Journal on Scientific Computing.
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.