Chaolin Song

497 citations
23 papers · 354 · h-index 11

Impact in

Papers in

Chaolin Song

22 papers receiving 339 citations

Peers

Chaolin Song
Comparison fields: 5 of 58
  • Statistics, Probability and Uncertainty 109
  • Civil and Structural Engineering 237
  • Building and Construction 62
  • Safety, Risk, Reliability and Quality 25
  • Computational Theory and Mathematics 33
Replace Hyun‐Moo Koh with:
Hyun‐Moo Koh South Korea
Weiling Sun China
Giuseppe Abbiati Italy
Ricardo Bolado-Lavín Netherlands
Hengfei Yang China
Junyi Yang China
Janusz Murzewski Poland
Seung‐Yong Ok South Korea
Seyed Rohollah Hoseini Vaez Iran
A. Meher Prasad India
Chaolin Song relative to Hyun‐Moo Koh South Korea Hyun‐Moo Koh's profile →
Citations per field
00.5×4.4×
Hyun‐Moo Koh · 1×
Citations per year

Countries citing papers authored by Chaolin Song

Since Specialization
Citations

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

Fields of papers citing papers by Chaolin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Chaolin Song, 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 Chaolin Song Line = papers co-authored together Chaolin Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202286
2 201846
3 202131
4 202230
5 202126
6 202220
7 202417
8 202215
9 201913
10 202412
11 202312
12 20239
13 20247
14 20247
15 20245
16 20234
17 20234
18 20234
19 20243
20 20241

About Chaolin Song

Chaolin Song is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty, Building and Construction, Mechanics of Materials and Computational Theory and Mathematics, having authored 23 papers that have together received 354 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (10 papers), Structural Health Monitoring Techniques (9 papers), Concrete Corrosion and Durability (8 papers), Structural Engineering and Vibration Analysis (8 papers), Structural Behavior of Reinforced Concrete (4 papers), Innovative concrete reinforcement materials (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Mechanical stress and fatigue analysis (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (109 citations), Civil and Structural Engineering (237 citations), Building and Construction (62 citations), Safety, Risk, Reliability and Quality (25 citations) and Computational Theory and Mathematics (33 citations). Chaolin Song has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Rucheng Xiao, Abdollah Shafieezadeh, Chi Zhang, Zeyu Wang, Bin Sun, Yinghao Zhao, Rui Guo, Bo Sun, Xinwei Zhao and Hui Chen. Their work appears in journals such as Engineering Structures, Reliability Engineering & System Safety, Structures, Applied Sciences and Structural Safety.

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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