Huabing Liu

101 papers receiving 1.8k citations

Peers

Huabing Liu
Comparison fields: 5 of 136
  • Metals and Alloys 58
  • Ecological Modeling 82
  • Materials Chemistry 764
  • Mechanical Engineering 600
  • Nuclear and High Energy Physics 202
Replace M. Ghoranneviss with:
M. Ghoranneviss Iran
Ping Wu China
Peng Gong China
David Fernández Rivas Netherlands
Satoshi Ito Japan
Javed Iqbal Pakistan
Peter R. Birkin United Kingdom
Xingyi Zhang China
David Staack United States
Kewei Zhang China
Huabing Liu relative to M. Ghoranneviss Iran M. Ghoranneviss's profile →
Citations per field
00.5×10×13.7×
M. Ghoranneviss · 1×
Citations per year

Countries citing papers authored by Huabing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Huabing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020143
2 2016107
3 199988
4 201678
5 201869
6 202068
7 201445
8 201742
9 201941
10 201839
11 201538
12 201738
13 201734
14 201834
15 201831
16 202031
17 202131
18 202030
19 201830
20 201928

About Huabing Liu

Huabing Liu is a scholar working on Mechanical Engineering, Mechanics of Materials, Materials Chemistry, Nuclear and High Energy Physics and Radiology, Nuclear Medicine and Imaging, having authored 112 papers that have together received 1.8k indexed citations. Recurring topics across this work include NMR spectroscopy and applications (23 papers), Surface Treatment and Residual Stress (19 papers), Advanced MRI Techniques and Applications (17 papers), Metal and Thin Film Mechanics (16 papers), Advanced NMR Techniques and Applications (12 papers), Advanced Neuroimaging Techniques and Applications (8 papers), Electrodeposition and Electroless Coatings (7 papers) and High Entropy Alloys Studies (6 papers). The work is most often cited by research in Metals and Alloys (58 citations), Ecological Modeling (82 citations), Materials Chemistry (764 citations), Mechanical Engineering (600 citations) and Nuclear and High Energy Physics (202 citations). Huabing Liu has collaborated with scholars based in China, France and United States. Frequent co-authors include Chuanhai Jiang, Vincent Ji, Lianbo Wang, Ming Chen, Shilong Xing, Chengfang Zhang, Lizhi Xiao, Huilin Hou, Weiyou Yang and Fengmei Gao. Their work appears in journals such as Surface and Coatings Technology, Journal of Alloys and Compounds, Journal of Materials Research and Technology, Journal of Magnetic Resonance and Microporous and Mesoporous Materials.

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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