Liming Yu

3.3k citations
185 papers · 2.2k indexed · 1 hit paper · h-index 27

Impact in

Papers in

Liming Yu

172 papers receiving 2.1k citations

Hit Papers

A novel model to predict oxidation behavior of superalloys based on machine learning 2025 · 19 citations
192025202651015

Peers

Liming Yu
Comparison fields: 5 of 115
  • Nuclear and High Energy Physics 355
  • Materials Chemistry 617
  • Astronomy and Astrophysics 214
  • Electronic, Optical and Magnetic Materials 238
  • Biomedical Engineering 504
Replace Yutong Li with:
Yutong Li China
Satoshi Nishimura Japan
Yuan Meng China
Zhao Jian China
V. Guidi Italy
Takashi Nakamura Japan
Wenjun Zhu China
Guowei Li China
Hanfei Yan United States
Liming Yu relative to Yutong Li China Yutong Li's profile →
Citations per field
00.5×1.5×
Yutong Li · 1×
Citations per year

Countries citing papers authored by Liming Yu

Since Specialization
Citations

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

Fields of papers citing papers by Liming Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2
A novel model to predict oxidation behavior of superalloys based on machine learning
Hit paper breakdown →
202519
3 20253
4 20240
5 20241
6 20241
7 20240
8 20240
9 20244
10 20235
11 20237
12 20233
13 20211
14 202141
15 20209
16 202017
17 20191
18 201822
19
Recovery of Dilute Acetic Acid by Solvent Extraction Together with Azeotropic Distillation
20081
20 19991

About Liming Yu

Liming Yu is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Electronic, Optical and Magnetic Materials, Aerospace Engineering and Physiology, having authored 185 papers that have together received 2.2k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (43 papers), Ionosphere and magnetosphere dynamics (27 papers), Laser-Plasma Interactions and Diagnostics (15 papers), Fullerene Chemistry and Applications (10 papers), Solar and Space Plasma Dynamics (9 papers), Magnetic properties of thin films (9 papers), Geophysical and Geoelectrical Methods (9 papers) and Particle accelerators and beam dynamics (9 papers). The work is most often cited by research in Nuclear and High Energy Physics (355 citations), Materials Chemistry (617 citations), Astronomy and Astrophysics (214 citations), Electronic, Optical and Magnetic Materials (238 citations) and Biomedical Engineering (504 citations). Liming Yu has collaborated with scholars based in China, Singapore and Belgium. Frequent co-authors include Francis E. H. Tay, Ciprian Iliescu, R. Caudano, Lin Xu, R. N. Edwards, Guolin Xu, Di Guo, G. Gensterblum, Shixun Cao and P.A. Thiry. Their work appears in journals such as Nuclear Fusion, Chinese Physics Letters, Physical review. B, Condensed matter, Fusion Engineering and Design and Physics of Plasmas.

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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