Dan Guo

431 citations
16 papers · 376 · h-index 9

Impact in

Papers in

    • High-Temperature Coating Behaviors 4
    • Aluminum Alloy Microstructure Properties 2
    • Nuclear Materials and Properties 3
    • Ferroelectric and Piezoelectric Materials 3

Dan Guo

16 papers receiving 367 citations

Peers

Dan Guo
Comparison fields: 5 of 55
  • Ceramics and Composites 79
  • Materials Chemistry 268
  • Electrical and Electronic Engineering 273
  • Electronic, Optical and Magnetic Materials 62
  • Aerospace Engineering 49
Replace Qiankun Xu with:
Qiankun Xu China
You Wu China
Yameng Jiao China
S. S. K. Titus India
M. N. Suma India
Mo Zhao China
Zijian Wang China
X. R. Zhou China
Yijun Du China
Andreas Schletz Germany
Dan Guo relative to Qiankun Xu China Qiankun Xu's profile →
Citations per field
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Qiankun Xu · 1×
Citations per year

Countries citing papers authored by Dan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Dan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2016170
2 201762
3 201630
4 202222
5 201622
6 202016
7 201513
8
Multisensor data fusion for automotive engine fault diagnosis
200412
9 202010
10 20176
11 20225
12 20224
13 20221
14 20251
15 20151
16 20241

About Dan Guo

Dan Guo is a scholar working on Aerospace Engineering, Materials Chemistry, Electrical and Electronic Engineering, Artificial Intelligence and Mechanical Engineering, having authored 16 papers that have together received 376 indexed citations. Recurring topics across this work include High-Temperature Coating Behaviors (4 papers), Nuclear Materials and Properties (3 papers), Multiferroics and related materials (3 papers), Microwave Dielectric Ceramics Synthesis (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Aluminum Alloy Microstructure Properties (2 papers), Aluminum Alloys Composites Properties (2 papers) and Advanced Measurement and Detection Methods (2 papers). The work is most often cited by research in Ceramics and Composites (79 citations), Materials Chemistry (268 citations), Electrical and Electronic Engineering (273 citations), Electronic, Optical and Magnetic Materials (62 citations) and Aerospace Engineering (49 citations). Dan Guo has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Wenbo Li, Di Zhou, Li‐Xia Pang, Ian M. Reaney, Xi Yao, Dawei Wang, Zeming Qi, Yanzhu Dai, Honggang Dong and Shuai Li. Their work appears in journals such as Journal of Alloys and Compounds, Journal of Thermal Spray Technology, Transactions of Nonferrous Metals Society of China, Journal of Materials Chemistry C and IEEE Access.

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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