Guangfeng Cheng

401 citations
18 papers · 320 indexed · h-index 7
Topics
Vibration and Dynamic Analysis (5 papers)Particle accelerators and beam dynamics (3 papers)Particle Accelerators and Free-Electron Lasers (3 papers)

In The Last Decade

Guangfeng Cheng

15 papers receiving 314 citations

Peers

Guangfeng Cheng
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 160
  • Statistical and Nonlinear Physics 62
  • Computational Mechanics 58
  • Aerospace Engineering 52
  • Control and Systems Engineering 50
Replace F. A. Aliev with:
F. A. Aliev Azerbaijan
Hongwei Li China
Georg Vossen Germany
Marko Janev Serbia
Binbin Hao China
Géza Kós Hungary
Jacquès Vlassenbroeck Belgium
Yaohua Zang Germany
Dmitry V. Zenkov United States
Chang-Ock Lee South Korea
Guangfeng Cheng relative to F. A. Aliev Azerbaijan F. A. Aliev's profile →
Citations per field
00.5×10×15×21×
F. A. Aliev · 1×
Citations per year

Countries citing papers authored by Guangfeng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Guangfeng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangfeng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Guangfeng Cheng. A scholar is included among the top collaborators of Guangfeng Cheng 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 Guangfeng Cheng. Guangfeng Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 5
3 76
4 106
5 1
6 0
7
Benchmark of Different Electromagnetic Codes for the High Frequency Calculation
1
8
JLab CW Cryomodules for 4th Generation Light Sources
1
9
Superconducting RF Deflecting Cavity Design and Prototype for Short X-ray Pulse Generation
2
10 17
11 70
12 8
13 2
14 18
15 6
16 4
17 2
18 1

About Guangfeng Cheng

Guangfeng Cheng is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Aerospace Engineering, having authored 18 papers that have together received 320 indexed citations. Recurring topics across this work include Vibration and Dynamic Analysis (5 papers), Particle accelerators and beam dynamics (3 papers) and Particle Accelerators and Free-Electron Lasers (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (160 citations), Statistical and Nonlinear Physics (62 citations) and Computational Mechanics (58 citations). Guangfeng Cheng has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Chunhua Wang, Chuh Mei, Hua Chen, Cong Xu, Y.Y. Lee, Binbin Qiu, Quan-Sheng Shu, Jonathan Demko, James E. Fesmire and Yu Han. Their work appears in journals such as IEEE Transactions on Industrial Electronics, AIAA Journal and International Journal of Bifurcation and Chaos.

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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