SU Juan-hua

586 citations
24 papers · 489 indexed · h-index 11
Topics
Aluminum Alloys Composites Properties (10 papers)Aluminum Alloy Microstructure Properties (9 papers)Microstructure and mechanical properties (8 papers)
Partner nations
ChinaPoland

In The Last Decade

SU Juan-hua

24 papers receiving 468 citations

Peers

SU Juan-hua
Comparison fields: 5 of 47
  • Mechanical Engineering 396
  • Materials Chemistry 292
  • Aerospace Engineering 136
  • Mechanics of Materials 73
  • Ceramics and Composites 57
Replace B. Kania with:
B. Kania Poland
Thiago A. Costa Brazil
B. Mikułowski Poland
S. Kumai Japan
Hong Luo China
Ali Kalkanlı Türkiye
Y.W. Chang South Korea
Shijie Sun China
Zhihao Zhao China
V. L. Tellkamp United States
SU Juan-hua relative to B. Kania Poland B. Kania's profile →
Citations per field
00.5×3.3×
B. Kania · 1×
Citations per year

Countries citing papers authored by SU Juan-hua

Since Specialization
Citations

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

Fields of papers citing papers by SU Juan-hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by SU Juan-hua. 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 SU Juan-hua. The network helps show where SU Juan-hua may publish in the future.

Co-authorship network of co-authors of SU Juan-hua

This figure shows the co-authorship network connecting the top 25 collaborators of SU Juan-hua. A scholar is included among the top collaborators of SU Juan-hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with SU Juan-hua. SU Juan-hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 13
2 12
3
Simulation and application of loose tooling forging for heavy grinding roller shaft forgings
1
4
Simulation analysis of minimum bending radius for lead frame copper alloys
1
5 1
6 3
7
Microstructure and Properties of Cu-Cr-Zr Alloy after Rapidly Solidified Aging and Solid Solution Aging
17
8 17
9 17
10 63
11 4
12 16
13 126
14 6
15 1
16 8
17
Aging Hardening and Recrystallization of the Deformed Cu-0.3Cr-0.15Zr-0.05Mg Alloy
1
18 110
19
Simulation of aging process of lead frame copper alloy by an artificial neural network
5
20 3

About SU Juan-hua

SU Juan-hua is a scholar working on Mechanical Engineering, Aerospace Engineering and Ceramics and Composites, having authored 24 papers that have together received 489 indexed citations. Recurring topics across this work include Aluminum Alloys Composites Properties (10 papers), Aluminum Alloy Microstructure Properties (9 papers) and Microstructure and mechanical properties (8 papers). The work is most often cited by research in Mechanical Engineering (396 citations), Ceramics and Composites (57 citations) and Materials Chemistry (292 citations). SU Juan-hua has collaborated with scholars based in China and Poland. Frequent co-authors include Fengzhang Ren, Qiming Dong, Ping Liu, Hejun Li, Kang Bu-xi, Hejun Li, Kexing Song, Ping Liu, Baohong Tian and Yan Li. Their work appears in journals such as Materials Science and Engineering A, Journal of Materials Processing Technology and Wear.

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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