Guo‐Kang Er

952 citations
65 papers · 744 indexed · h-index 16
Topics
Probabilistic and Robust Engineering Design (46 papers)stochastic dynamics and bifurcation (21 papers)Structural Health Monitoring Techniques (16 papers)
Partner nations
MacaoChinaUnited States

In The Last Decade

Guo‐Kang Er

62 papers receiving 726 citations

Peers

Guo‐Kang Er
Comparison fields: 5 of 51
  • Statistics, Probability and Uncertainty 511
  • Statistical and Nonlinear Physics 346
  • Civil and Structural Engineering 280
  • Control and Systems Engineering 103
  • Environmental Engineering 96
Replace D. V. Iourtchenko with:
D. V. Iourtchenko United States
Z.L. Huang China
G. Falsone Italy
R. Iwankiewicz Poland
Y. K. Lin United States
P-T. D. Spanos United States
Zhibao Zheng China
B. A. Zeldin United States
Guo‐Kang Er relative to D. V. Iourtchenko United States D. V. Iourtchenko's profile →
Citations per field
00.5×3.5×
D. V. Iourtchenko · 1×
Citations per year

Countries citing papers authored by Guo‐Kang Er

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Kang Er

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Kang Er

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Kang Er. A scholar is included among the top collaborators of Guo‐Kang Er 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 Guo‐Kang Er. Guo‐Kang Er 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
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A novel method to improve the multiple-scales solution of the forced strongly nonlinear oscillators
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13 21
14 27
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About Guo‐Kang Er

Guo‐Kang Er is a scholar working on Statistics, Probability and Uncertainty, Statistical and Nonlinear Physics and Civil and Structural Engineering, having authored 65 papers that have together received 744 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (46 papers), stochastic dynamics and bifurcation (21 papers) and Structural Health Monitoring Techniques (16 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (511 citations), Statistical and Nonlinear Physics (346 citations) and Civil and Structural Engineering (280 citations). Guo‐Kang Er has collaborated with scholars based in Macao, China and United States. Frequent co-authors include Vai Pan Iu, K. P. Kou, Siu-Siu Guo, Hongji Zhu, Hongtao Zhu, Chi Chiu Lam, Kun Wang, Hongtao Zhu, Kun Wang and Kun Wang. Their work appears in journals such as Journal of Applied Mechanics, AIAA Journal 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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