Gang S. Chen

412 total citations
29 papers, 308 citations indexed

About

Gang S. Chen is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Gang S. Chen has authored 29 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Civil and Structural Engineering, 11 papers in Mechanical Engineering and 7 papers in Control and Systems Engineering. Recurrent topics in Gang S. Chen's work include Structural Health Monitoring Techniques (24 papers), Structural Engineering and Vibration Analysis (8 papers) and Railway Engineering and Dynamics (6 papers). Gang S. Chen is often cited by papers focused on Structural Health Monitoring Techniques (24 papers), Structural Engineering and Vibration Analysis (8 papers) and Railway Engineering and Dynamics (6 papers). Gang S. Chen collaborates with scholars based in United States and China. Gang S. Chen's co-authors include Feng Xiao, J. Leroy Hulsey, Huimin Sun, Wael Zatar, Xiangwei Meng, Yujiang Xiang, Weiwei Zhu, Zhaohui Yang, Lijun Zhang and Dejian Meng and has published in prestigious journals such as Sensors, Applied Sciences and Cold Regions Science and Technology.

In The Last Decade

Gang S. Chen

28 papers receiving 305 citations

Peers

Gang S. Chen
Comparison fields: 5 of 35
  • Civil and Structural Engineering 257
  • Mechanical Engineering 99
  • Mechanics of Materials 63
  • Control and Systems Engineering 37
  • Computer Vision and Pattern Recognition 24
Chuang Wang China
Linren Zhou China
Zhijun Li China
J.Q. Bu China
Minwoo Chang South Korea
Yichen Zhu China
Alessandro Cabboi Netherlands
María Placeres González Martínez Spain
Kang Yang China
Jia‐Hua Yang Hong Kong
Chuang Wang China View profile →
Citations per field, relative to Gang S. Chen
Gang S. Chen · 1×
Citations per year, relative to Gang S. Chen
Gang S. Chen · 1×

Countries citing papers authored by Gang S. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gang S. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang S. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Gang S. Chen. A scholar is included among the top collaborators of Gang S. 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 Gang S. Chen. Gang S. 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
# Work Indexed citations
1 0
2 5
3 5
4 7
5 17
6 25
7 2
8 6
9 12
10 41
11 12
12 6
13 11
14 6
15 6
16 13
17 37
18 13
19 2
20 1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026