Jun Lü

86 papers receiving 1.9k citations

Peers

Jun Lü
Comparison fields: 5 of 38
  • Biomedical Engineering 1.5k
  • General Materials Science 70
  • Materials Chemistry 263
  • Mechanical Engineering 186
  • Condensed Matter Physics 25
Replace David Evans with:
David Evans United Kingdom
Yoshimitsu Hishinuma Japan
Florence Lecouturier France
L. Thilly France
Anna Fraczkiewicz France
Pingxiang Zhang China
Jean Pierre Peyrade France
Alfred Cerezo United Kingdom
R. P. Reed United States
P.J. Warren United Kingdom
Jun Lü relative to David Evans United Kingdom David Evans's profile →
Citations per field
00.5×2×3×4×4.5×
David Evans · 1×
Citations per year

Countries citing papers authored by Jun Lü

Since Specialization
Citations

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

Fields of papers citing papers by Jun Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008203
2 2011188
3 2012160
4 2014149
5 201797
6 201083
7 201882
8 201579
9 202173
10 200768
11 201245
12 201235
13 200931
14 201831
15 202231
16 200827
17 201225
18 201324
19 201924
20 202222

About Jun Lü

Jun Lü is a scholar working on Biomedical Engineering, General Materials Science, Mechanical Engineering, Materials Chemistry and Aerospace Engineering, having authored 87 papers that have together received 1.9k indexed citations. Recurring topics across this work include Superconducting Materials and Applications (70 papers), Microstructure and mechanical properties (6 papers), Metallurgical and Alloy Processes (4 papers), Advanced Fiber Optic Sensors (2 papers), Microstructure and Mechanical Properties of Steels (2 papers), Aluminum Alloy Microstructure Properties (2 papers), Metallurgy and Material Science (2 papers) and Fatigue and fracture mechanics (2 papers). The work is most often cited by research in Biomedical Engineering (1.5k citations), General Materials Science (70 citations), Materials Chemistry (263 citations), Mechanical Engineering (186 citations) and Condensed Matter Physics (25 citations). Jun Lü has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Ke Han, Robert P Walsh, Eun Sang Choi, Haidong D. Zhou, Hubertus W. Weijers, William Denis Markiewicz, Andrew V. Gavrilin, William R. Sheppard, Hongyu Bai and D. C. Larbalestier. Their work appears in journals such as IEEE Transactions on Applied Superconductivity, Superconductor Science and Technology, Cryogenics, Journal of Applied Physics and Scripta Materialia.

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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