Wei Song
- Civil and Structural Engineering top 1%
- Mechanical Engineering top 5%
- Automotive Engineering top 1%
- Building and Construction top 1%
- Biomedical Engineering top 10%
- Co-authors
- Syed H. MasoodShanglian ZhouShirley J. DykeJ.C.M. HoQ. WangM.H. LaiXian LiuSri Bandyopadhyay
- Topics
- Structural Health Monitoring Techniques (19 papers)Concrete Corrosion and Durability (13 papers)Infrastructure Maintenance and Monitoring (11 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Wei Song
88 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Civil and Structural Engineering 1.1k
- Mechanical Engineering 713
- Automotive Engineering 631
- Building and Construction 480
- Biomedical Engineering 294
Countries citing papers authored by Wei Song
This map shows the geographic impact of Wei 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 Wei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Song more than expected).
Fields of papers citing papers by Wei Song
This network shows the impact of papers produced by Wei 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 Wei Song. The network helps show where Wei Song may publish in the future.
Co-authorship network of co-authors of Wei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Wei Song. A scholar is included among the top collaborators of Wei Song 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 Wei Song. Wei Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 26 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 10 | |
| 13 | RISK CHAOS SYSTEM FORECASTING MODEL FOR SOFTWARE PROJECT BASED ON NEURAL NETWORK | 0 |
| 14 | Study on technical scheme for passive shutdown of pool-type sodium-cooled fast reactor | 4 |
| 15 | Fluid-solid Coupling Computation on Temperature Field of Decentralized Pipe Cable System | 2 |
| 16 | Review of Researches on Wood Root System | 0 |
| 17 | HYDRODYNAMIC FEATURE OF FISHING NET UNDER WAVE ACTION IN FLUME EXPERIMENT | 0 |
| 18 | DAMAGING CONSTITUTIVE LAW OF REINFORCED CONCRETE SPECIMENS UNDER MONOTONIC UNIAXIAL TENSILE LOAD | 2 |
| 19 | WAVE EXPERIMENT ON NETTING STRUCTURE WITH SINGLE POINT MOORINGS | 2 |
| 20 | 1 |
About Wei Song
Wei Song is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Control and Systems Engineering, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (19 papers), Concrete Corrosion and Durability (13 papers) and Infrastructure Maintenance and Monitoring (11 papers). The work is most often cited by research in Civil and Structural Engineering (1.1k citations), Automotive Engineering (631 citations) and Building and Construction (480 citations). Wei Song has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Syed H. Masood, Shanglian Zhou, Shirley J. Dyke, J.C.M. Ho, Q. Wang, M.H. Lai, Xian Liu, Sri Bandyopadhyay, P. Krauklis and A.P. Mouritz. Their work appears in journals such as ACS Nano, Mechanical Systems and Signal Processing and Wear.
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.