Daoru Han

537 citations
47 papers · 364 · h-index 11

Impact in

Papers in

Daoru Han

39 papers receiving 353 citations

Peers

Daoru Han
Comparison fields: 5 of 55
  • Statistics, Probability and Uncertainty 61
  • Computational Mechanics 133
  • Astronomy and Astrophysics 102
  • Applied Mathematics 44
  • Aerospace Engineering 65
Replace Alireza Mazaheri with:
Alireza Mazaheri United States
Florian Hindenlang Germany
Jonathan Burt United States
Xiao-Yen Wang United States
Masaharu Matsumoto Japan
Hervé Jourdren France
G.H. Canavan United States
Christiane Helzel Germany
Wim Ruyten United States
R. D. Saunders United States
Daoru Han relative to Alireza Mazaheri United States Alireza Mazaheri's profile →
Citations per field
00.5×3.4×
Alireza Mazaheri · 1×
Citations per year

Countries citing papers authored by Daoru Han

Since Specialization
Citations

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

Fields of papers citing papers by Daoru Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daoru Han, 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 Daoru Han Line = papers co-authored together Daoru Han links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201647
2 201229
3 201628
4 202426
5 201825
6 201523
7
An Immersed-Finite-Element Particle-in-Cell Simulation Tool for Plasma Surface Interaction
201714
8 202114
9 201311
10 202510
11 201810
12 202110
13 20199
14 20209
15 20218
16 20108
17 20228
18 20148
19 20217
20 20197

About Daoru Han

Daoru Han is a scholar working on Astronomy and Astrophysics, Electrical and Electronic Engineering, Aerospace Engineering, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 47 papers that have together received 364 indexed citations. Recurring topics across this work include Planetary Science and Exploration (18 papers), Astro and Planetary Science (14 papers), Ionosphere and magnetosphere dynamics (12 papers), Plasma Diagnostics and Applications (12 papers), Probabilistic and Robust Engineering Design (9 papers), Scientific Research and Discoveries (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Dust and Plasma Wave Phenomena (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (61 citations), Computational Mechanics (133 citations), Astronomy and Astrophysics (102 citations), Applied Mathematics (44 citations) and Aerospace Engineering (65 citations). Daoru Han has collaborated with scholars based in United States, China and India. Frequent co-authors include Xiaoming He, Joseph Wang, Serhat Hosder, Tao Lin, Xinpeng Wei, Xiaoping Du, Jianxun Zhao, Pu Wang, Yuan Hu and Yue‐Wern Huang. Their work appears in journals such as IEEE Transactions on Plasma Science, Journal of Spacecraft and Rockets, Computational Particle Mechanics, Acta Astronautica and IEEE Transactions on Radiation and Plasma Medical Sciences.

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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