Jun Qian

4.6k citations
269 papers · 3.6k · h-index 31

Impact in

Papers in

Jun Qian

250 papers receiving 3.5k citations

Peers

Jun Qian
Comparison fields: 5 of 129
  • Structural Biology 88
  • Mechanical Engineering 1.5k
  • Radiation 322
  • Electrical and Electronic Engineering 1.8k
  • Biomedical Engineering 1.3k
Replace Ghanshyam Pilania with:
Ghanshyam Pilania United States
Gus L. W. Hart United States
Badri Narayanan United States
Zhanwei Liu China
Samuel J. Cooper United Kingdom
Wu Li China
Prasanna V. Balachandran United States
Fritz B. Prinz United States
Satoshi Hata Japan
Bryce Meredig United States
Jun Qian relative to Ghanshyam Pilania United States Ghanshyam Pilania's profile →
Citations per field
00.5×3.8×
Ghanshyam Pilania · 1×
Citations per year

Countries citing papers authored by Jun Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 269 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018198
2 2017163
3 2021117
4 201095
5 202290
6 200685
7 199776
8 202075
9 202073
10 201969
11 201955
12 201752
13 201549
14 200046
15 201945
16 201243
17 201643
18 200741
19 201540
20 201139

About Jun Qian

Jun Qian is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Radiation, having authored 269 papers that have together received 3.6k indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (91 papers), Advanced machining processes and optimization (90 papers), Advanced Machining and Optimization Techniques (84 papers), Advanced X-ray Imaging Techniques (24 papers), Advanced Measurement and Metrology Techniques (19 papers), Organic Electronics and Photovoltaics (12 papers), Mechanical stress and fatigue analysis (10 papers) and Fatigue and fracture mechanics (9 papers). The work is most often cited by research in Structural Biology (88 citations), Mechanical Engineering (1.5k citations), Radiation (322 citations), Electrical and Electronic Engineering (1.8k citations) and Biomedical Engineering (1.3k citations). Jun Qian has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Dominiek Reynaerts, Krishna Kumar Saxena, Norio Hasebe, Mattia Bellotti, Bert Lauwers, Yun Li, Yi Shi, Scott L. Anderson, Lahsen Assoufid and Cheng Guo. Their work appears in journals such as Journal of Materials Processing Technology, Precision Engineering, International Journal of Machine Tools and Manufacture, The Journal of Chemical Physics and The International Journal of Advanced Manufacturing Technology.

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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