Nan Qu

1.4k citations
71 papers · 1.0k · h-index 17

Impact in

    • High Entropy Alloys Studies
    • Additive Manufacturing Materials and Processes
    • Advanced materials and composites
    • Aluminum Alloys Composites Properties
    • High-Temperature Coating Behaviors

Papers in

    • High Entropy Alloys Studies 20
    • Additive Manufacturing Materials and Processes 12
    • Aluminum Alloys Composites Properties 12
    • Advanced materials and composites 9
    • Graphene research and applications 10
    • Machine Learning in Materials Science 7

Nan Qu

63 papers receiving 987 citations

Peers

Nan Qu
Comparison fields: 5 of 84
  • Mechanical Engineering 524
  • Aerospace Engineering 282
  • Ceramics and Composites 59
  • Materials Chemistry 355
  • Analytical Chemistry 72
Replace Gan Li with:
Gan Li China
S. Sridhar United States
Yuzhuo Li Canada
Cheng Wen China
Feng Wei China
Shuo Li China
Ze Zhang China
Cong Zhang China
Sung‐Soo Kim South Korea
Nan Qu relative to Gan Li China Gan Li's profile →
Citations per field
00.5×3.3×
Gan Li · 1×
Citations per year

Countries citing papers authored by Nan Qu

Since Specialization
Citations

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

Fields of papers citing papers by Nan Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006164
2 201985
3 202164
4 201961
5 202055
6 201937
7 200729
8 202029
9 200728
10 202228
11 201526
12 202324
13 202224
14 202320
15 202220
16 202120
17 202217
18 202216
19 200716
20 202016

About Nan Qu

Nan Qu is a scholar working on Mechanical Engineering, Materials Chemistry, Aerospace Engineering, Mechanics of Materials and Electrical and Electronic Engineering, having authored 71 papers that have together received 1.0k indexed citations. Recurring topics across this work include High Entropy Alloys Studies (20 papers), High-Temperature Coating Behaviors (17 papers), Additive Manufacturing Materials and Processes (12 papers), Aluminum Alloys Composites Properties (12 papers), Graphene research and applications (10 papers), Advanced materials and composites (9 papers), Aluminum Alloy Microstructure Properties (7 papers) and Machine Learning in Materials Science (7 papers). The work is most often cited by research in Mechanical Engineering (524 citations), Aerospace Engineering (282 citations), Ceramics and Composites (59 citations), Materials Chemistry (355 citations) and Analytical Chemistry (72 citations). Nan Qu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhonghong Lai, Mingqing Liao, Di Zhu, K.C. Chan, Danni Yang, Tianyi Han, Jingchuan Zhu, Fei Zhou, Yong Liu and Jingchuan Zhu. Their work appears in journals such as Materials, Vacuum, Journal of Alloys and Compounds, Metals and Computer Physics Communications.

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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