Kang Shi

1.6k citations
60 papers · 1.2k indexed · 1 hit paper · h-index 21
Topics
Railway Engineering and Dynamics (30 papers)Structural Health Monitoring Techniques (29 papers)Structural Engineering and Vibration Analysis (14 papers)
Partner nations
ChinaTaiwanCanada

In The Last Decade

Kang Shi

56 papers receiving 1.2k citations

Hit Papers

Recent Advances in Researches on Vehicle Scanning Method ...202220262023202420224080120

Peers

Kang Shi
Comparison fields: 5 of 62
  • Civil and Structural Engineering 903
  • Mechanical Engineering 689
  • Aerospace Engineering 206
  • Mechanics of Materials 186
  • Environmental Engineering 166
Replace Hermes Carvalho with:
Hermes Carvalho Brazil
Andrea Collina Italy
Yimin Xia China
Sunil Kumar Sharma India
Sebastian Stichel Sweden
Mitsuo Kawatani Japan
Giacomo Squicciarini United Kingdom
F.D. Denia Spain
Mykola Sysyn Germany
Issam E. Harik United States
Kang Shi relative to Hermes Carvalho Brazil Hermes Carvalho's profile →
Citations per field
00.5×3.5×
Hermes Carvalho · 1×
Citations per year

Countries citing papers authored by Kang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Kang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Shi. A scholar is included among the top collaborators of Kang Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kang Shi. Kang Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 0
4 3
5 7
6 0
7 7
8 2
9 7
10 8
11 3
12 13
13 3
14 1
15 22
16 8
17 8
18 35
19 14
20
Study on Algorithm of 3D Terrain Clutter for Airborne PD Radar with Arbitrary Postures
0

About Kang Shi

Kang Shi is a scholar working on Civil and Structural Engineering, General Engineering and Mechanical Engineering, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (30 papers), Structural Health Monitoring Techniques (29 papers) and Structural Engineering and Vibration Analysis (14 papers). The work is most often cited by research in Civil and Structural Engineering (903 citations), General Engineering (23 citations) and Mechanical Engineering (689 citations). Kang Shi has collaborated with scholars based in China, Taiwan and Canada. Frequent co-authors include Y.B. Yang, Hao Xu, Z. L. Wang, Yuntian Wu, Xuhui He, Yunfeng Zou, Judy P. Yang, Yan Han, Teng Wu and Pourang Irani. Their work appears in journals such as Sensors, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

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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