Hua-Peng Chen

2.5k citations
123 papers · 1.8k · h-index 26

Impact in

Papers in

    • Structural Health Monitoring Techniques 27
    • Concrete Corrosion and Durability 22
    • Infrastructure Maintenance and Monitoring 19
    • Geotechnical Engineering and Underground Structures 11
    • Railway Engineering and Dynamics 11

Hua-Peng Chen

117 papers receiving 1.7k citations

Peers

Hua-Peng Chen
Comparison fields: 5 of 111
  • Civil and Structural Engineering 947
  • General Engineering 25
  • Mechanics of Materials 532
  • Statistics, Probability and Uncertainty 129
  • Environmental Engineering 220
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Citations per field
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Citations per year

Countries citing papers authored by Hua-Peng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Peng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hua-Peng Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hua-Peng Chen Line = papers co-authored together Hua-Peng Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017127
2 199782
3 201761
4 201358
5 201456
6 201855
7 200054
8 200847
9 199846
10 201343
11 201843
12 201343
13 202141
14 202140
15 201434
16 201834
17 202234
18 202034
19 202230
20 202230

About Hua-Peng Chen

Hua-Peng Chen is a scholar working on Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials, Materials Chemistry and Statistics, Probability and Uncertainty, having authored 123 papers that have together received 1.8k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (27 papers), Concrete Corrosion and Durability (22 papers), Infrastructure Maintenance and Monitoring (19 papers), Probabilistic and Robust Engineering Design (16 papers), Corrosion Behavior and Inhibition (15 papers), Ultrasonics and Acoustic Wave Propagation (13 papers), Geotechnical Engineering and Underground Structures (11 papers) and Railway Engineering and Dynamics (11 papers). The work is most often cited by research in Civil and Structural Engineering (947 citations), General Engineering (25 citations), Mechanics of Materials (532 citations), Statistics, Probability and Uncertainty (129 citations) and Environmental Engineering (220 citations). Hua-Peng Chen has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Musa D. Aliyu, Nenad Bičanić, Tianli Huang, Kong Fah Tee, Qingsong Feng, Amir M. Alani, Xiaoyan Lei, Xudong Niu, Weicheng Hu and Wenbo Duan. Their work appears in journals such as STRUCTURAL ENGINEERING AND MECHANICS, Ocean Engineering, Energy, Smart Structures and Systems and Engineering Structures.

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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