Jun Guo

1.4k citations
61 papers · 1.1k · h-index 21

Impact in

Papers in

Jun Guo

57 papers receiving 1.1k citations

Peers

Jun Guo
Comparison fields: 5 of 80
  • Civil and Structural Engineering 324
  • Safety, Risk, Reliability and Quality 129
  • Computational Mechanics 269
  • Ocean Engineering 135
  • Mechanics of Materials 164
Replace Yan Shang with:
Yan Shang China
Wenyu Wang China
Lin Xin China
Huafu Pei China
Guilin Wang China
Pawel Kosinski Norway
Dow Leclerc France
Kent S. Udell United States
Xiaofeng Lu China
Ulrich Krause Germany
Jun Guo relative to Yan Shang China Yan Shang's profile →
Citations per field
00.5×6.5×
Yan Shang · 1×
Citations per year

Countries citing papers authored by Jun Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201283
3 201658
4 201047
5 201346
6 202146
7 201445
8 201445
9 201943
10 201942
11 201936
12 202235
13 201633
14 201330
15 200830
16 202225
17 201324
18 201922
19 200822
20 202021

About Jun Guo

Jun Guo is a scholar working on Civil and Structural Engineering, Electrical and Electronic Engineering, Computational Mechanics, Mechanical Engineering and Materials Chemistry, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aerosol Filtration and Electrostatic Precipitation (16 papers), Geotechnical Engineering and Soil Stabilization (14 papers), Geotechnical Engineering and Underground Structures (11 papers), Cyclone Separators and Fluid Dynamics (10 papers), Geotechnical Engineering and Analysis (6 papers), Tree Root and Stability Studies (6 papers), High voltage insulation and dielectric phenomena (6 papers) and Lightning and Electromagnetic Phenomena (4 papers). The work is most often cited by research in Civil and Structural Engineering (324 citations), Safety, Risk, Reliability and Quality (129 citations), Computational Mechanics (269 citations), Ocean Engineering (135 citations) and Mechanics of Materials (164 citations). Jun Guo has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Aibing Yu, Jie Han, Baoyu Guo, Xiong Zhang, Fei Wang, Ying-xiang Wu, Qinfu Hou, Jing‐yu Xu, Bingjing Guo and Zexia Li. Their work appears in journals such as Geotextiles and Geomembranes, Journal of Hydrodynamics, Powder Technology, Geomechanics and Geophysics for Geo-Energy and Geo-Resources and Computers and Geotechnics.

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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