Xiao-Ping Lu
Impact in
- Astronomy and Astrophysics top 10%
- Astro and Planetary Science
- Planetary Science and Exploration
- Stellar, planetary, and galactic studies
- Numerical Analysis top 10%
- Iterative Methods for Nonlinear Equations
Papers in
-
- Astro and Planetary Science 28
- Stellar, planetary, and galactic studies 7
- Planetary Science and Exploration 5
-
- Matrix Theory and Algorithms 13
- Co-authors
- Hua Wen Zheng (16 shared papers)Lin Zhang (2 shared papers)Wing‐Huen Ip (4 shared papers)Seakweng Vong (8 shared papers)David C. Jewitt (1 shared paper)Haibin Zhao (7 shared papers)Qin Ni (2 shared papers)A. Cellino (2 shared papers)
- Journals
- Applied Mathematics and Computation (5 papers)Expert Systems with Applications (4 papers)Astronomy and Astrophysics (4 papers)Planetary and Space Science (3 papers)Numerical Algorithms (3 papers)
- Partner nations
- MacaoChinaUnited States
In The Last Decade
Xiao-Ping Lu
62 papers receiving 425 citations
Peers
Comparison fields: 5 of 46
- Astronomy and Astrophysics 187
- Numerical Analysis 33
- Management Science and Operations Research 82
- Computational Mathematics 2
- Computational Theory and Mathematics 47
Countries citing papers authored by Xiao-Ping Lu
This map shows the geographic impact of Xiao-Ping Lu'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 Xiao-Ping Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Ping Lu more than expected).
Fields of papers citing papers by Xiao-Ping Lu
This network shows the impact of papers produced by Xiao-Ping Lu. 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 Xiao-Ping Lu. The network helps show where Xiao-Ping Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Ping Lu, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 47 | |
| 2 | 2023 | 35 | |
| 3 | 2019 | 24 | |
| 4 | 2022 | 19 | |
| 5 | 2017 | 17 | |
| 6 | 2019 | 16 | |
| 7 | 2012 | 15 | |
| 8 | 2012 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2015 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2008 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2026 | 11 | |
| 16 | 2023 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2014 | 8 | |
| 20 | 2016 | 8 |
About Xiao-Ping Lu
Xiao-Ping Lu is a scholar working on Astronomy and Astrophysics, Computational Theory and Mathematics, Numerical Analysis, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 71 papers that have together received 441 indexed citations. Recurring topics across this work include Astro and Planetary Science (28 papers), Matrix Theory and Algorithms (13 papers), Stock Market Forecasting Methods (11 papers), Stellar, planetary, and galactic studies (7 papers), Iterative Methods for Nonlinear Equations (6 papers), Planetary Science and Exploration (5 papers), Space Satellite Systems and Control (4 papers) and Advanced Image Processing Techniques (4 papers). The work is most often cited by research in Astronomy and Astrophysics (187 citations), Numerical Analysis (33 citations), Management Science and Operations Research (82 citations), Computational Mathematics (2 citations) and Computational Theory and Mathematics (47 citations). Xiao-Ping Lu has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Hua Wen Zheng, Lin Zhang, Wing‐Huen Ip, Seakweng Vong, David C. Jewitt, Haibin Zhao, Qin Ni, A. Cellino, Keping Yu and Daniel Hestroffer. Their work appears in journals such as Applied Mathematics and Computation, Expert Systems with Applications, Astronomy and Astrophysics, Planetary and Space Science and Numerical Algorithms.
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.