Guangyong Chen

3.5k citations
79 papers · 2.0k indexed · 1 hit paper · h-index 22
Topics
Control Systems and Identification (12 papers)Fault Detection and Control Systems (11 papers)Image and Signal Denoising Methods (11 papers)
Partner nations
ChinaMacaoHong Kong

In The Last Decade

Guangyong Chen

71 papers receiving 2.0k citations

Hit Papers

Could graph neural networks learn better molecular repres...20212026202220242021100200300

Peers

Guangyong Chen
Comparison fields: 5 of 130
  • Control and Systems Engineering 613
  • Artificial Intelligence 610
  • Computer Vision and Pattern Recognition 563
  • Computational Theory and Mathematics 350
  • Media Technology 261
Replace Mark E. Oxley with:
Mark E. Oxley United States
Chen Xu China
Hayden Kwok‐Hay So Hong Kong
Li‐Zhi Liao Hong Kong
Miao Zhang China
M. N. S. Swamy Canada
Jun Chen China
H. Kaufman United States
Chunpeng Wang China
Brendan O’Donoghue United States
Guangyong Chen relative to Mark E. Oxley United States Mark E. Oxley's profile →
Citations per field
00.5×10×13.4×
Mark E. Oxley · 1×
Citations per year

Countries citing papers authored by Guangyong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Guangyong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangyong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Guangyong Chen. A scholar is included among the top collaborators of Guangyong Chen 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 Guangyong Chen. Guangyong Chen 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 11
2 0
3 1
4 0
5 1
6 1
7 1
8 1
9 2
10 8
11 5
12 4
13 4
14 2
15 14
16 2
17 0
18
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based modelsbreakdown →
388
19 22
20 1

About Guangyong Chen

Guangyong Chen is a scholar working on Acoustics and Ultrasonics, Computer Vision and Pattern Recognition and Media Technology, having authored 79 papers that have together received 2.0k indexed citations. Recurring topics across this work include Control Systems and Identification (12 papers), Fault Detection and Control Systems (11 papers) and Image and Signal Denoising Methods (11 papers). The work is most often cited by research in Media Technology (261 citations), Acoustics and Ultrasonics (26 citations) and Computer Vision and Pattern Recognition (563 citations). Guangyong Chen has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Min Gan, C. L. Philip Chen, Pheng‐Ann Heng, Fengyuan Zhu, Long Chen, Ben Liao, Han‐Xiong Li, Dejun Jiang, Tingjun Hou and Zhenhua Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

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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