Longsha Wei

648 citations
22 papers · 552 · h-index 15

Impact in

    • Magnetic and transport properties of perovskites and related materials
    • Magnetic Properties of Alloys
    • Heusler alloys: electronic and magnetic properties
    • Multiferroics and related materials
    • Magnetic Properties and Applications
    • Shape Memory Alloy Transformations
    • Titanium Alloys Microstructure and Properties

Papers in

Longsha Wei

20 papers receiving 540 citations

Peers

Longsha Wei
Comparison fields: 5 of 31
  • Electronic, Optical and Magnetic Materials 380
  • Materials Chemistry 493
  • Mechanical Engineering 213
  • General Materials Science 6
  • Experimental and Cognitive Psychology 24
Replace Yuhai Qu with:
Yuhai Qu China
D. Salas United States
Y. I. Chumlyakov United States
Wenwei Ge Germany
Aaron R. Smith Finland
J. Malarrı́a Argentina
Petr Veřtát Czechia
P. La Roca Argentina
Y. Himuro Japan
Longsha Wei relative to Yuhai Qu China Yuhai Qu's profile →
Citations per field
00.5×6.4×
Yuhai Qu · 1×
Citations per year

Countries citing papers authored by Longsha Wei

Since Specialization
Citations

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

Fields of papers citing papers by Longsha Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 201652
3 201249
4 201646
5 201942
6 201539
7 201636
8 201834
9 201729
10 201626
11 201523
12 201620
13 201919
14 201916
15 202115
16 202013
17 201512
18 20189
19 20197
20 20235

About Longsha Wei

Longsha Wei is a scholar working on Materials Chemistry, Mechanical Engineering, Electronic, Optical and Magnetic Materials, Polymers and Plastics and Mechanics of Materials, having authored 22 papers that have together received 552 indexed citations. Recurring topics across this work include Shape Memory Alloy Transformations (20 papers), Magnetic and transport properties of perovskites and related materials (13 papers), High Entropy Alloys Studies (9 papers), Cellular and Composite Structures (3 papers), Magnetic Properties of Alloys (3 papers), Microstructure and Mechanical Properties of Steels (2 papers), Magnetic Properties and Applications (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Electronic, Optical and Magnetic Materials (380 citations), Materials Chemistry (493 citations), Mechanical Engineering (213 citations), General Materials Science (6 citations) and Experimental and Cognitive Psychology (24 citations). Longsha Wei has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Xuexi Zhang, Lin Geng, Mingfang Qian, Jianfei Sun, Lin Geng, Dawei Xing, Hehe Zhang, Jian Liu, Weimin Gan and Chao Ding. Their work appears in journals such as Journal of Alloys and Compounds, Materials & Design, Applied Physics Letters, Journal of Magnetism and Magnetic Materials and Journal of Applied Polymer Science.

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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