Changna Lu

420 citations
18 papers · 342 · h-index 9

Impact in

Papers in

Changna Lu

17 papers receiving 324 citations

Peers

Changna Lu
Comparison fields: 5 of 43
  • Modeling and Simulation 81
  • Numerical Analysis 80
  • Statistical and Nonlinear Physics 133
  • Computational Mechanics 142
  • Applied Mathematics 39
Replace О. В. Капцов with:
О. В. Капцов Russia
А. В. Аксенов Russia
Yu. A. Chirkunov Russia
V. V. Pukhnachov Russia
D. Wirosoetisno United Kingdom
Beatrice Pelloni United Kingdom
Mitsuaki Funakoshi Japan
Hendrik Ranocha Germany
Moritz Adelmeyer Switzerland
A. G. Meshkov Russia
Changna Lu relative to О. В. Капцов Russia О. В. Капцов's profile →
Citations per field
00.5×
О. В. Капцов · 1×
Citations per year

Countries citing papers authored by Changna Lu

Since Specialization
Citations

This map shows the geographic impact of Changna 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 Changna Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changna Lu more than expected).

Fields of papers citing papers by Changna Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changna 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 Changna Lu. The network helps show where Changna Lu may publish in the future.

Co-authors

The 9 scholars most cited alongside Changna Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Changna Lu Line = papers co-authored together Changna Lu links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2018116
2 201339
3 201938
4 201136
5 201331
6 201720
7 201714
8 201013
9 201011
10 20115
11 20085
12 20185
13 20184
14 20112
15
Forecast of storm surge in Zhujiang River estuary by means of artificial neural network
20061
16 20221
17 20201
18
Inversing open boundary conditions of tidal bore estuary using adjoint data assimilation method
20070

About Changna Lu

Changna Lu is a scholar working on Computational Mechanics, Atmospheric Science, Numerical Analysis, Statistical and Nonlinear Physics and Modeling and Simulation, having authored 18 papers that have together received 342 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (8 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Meteorological Phenomena and Simulations (5 papers), Nonlinear Waves and Solitons (5 papers), Fractional Differential Equations Solutions (5 papers), Numerical methods for differential equations (3 papers), Nonlinear Photonic Systems (3 papers) and Electromagnetic Simulation and Numerical Methods (2 papers). The work is most often cited by research in Modeling and Simulation (81 citations), Numerical Analysis (80 citations), Statistical and Nonlinear Physics (133 citations), Computational Mechanics (142 citations) and Applied Mathematics (39 citations). Changna Lu has collaborated with scholars based in China and United States. Frequent co-authors include Hongwei Yang, Jianxian Qiu, Weizhang Huang, Erik S. Van Vleck, Gang Li, Gang Li, Gang Li, Wei Li and Changkuan Zhang. Their work appears in journals such as Journal of Scientific Computing, Numerische Mathematik, Numerical Mathematics Theory Methods and Applications, Journal of Computational Physics and International Journal for Numerical Methods in Fluids.

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.

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