Mingming Song

1.0k citations
45 papers · 687 · h-index 16

Impact in

Papers in

Mingming Song

42 papers receiving 679 citations

Peers

Mingming Song
Comparison fields: 5 of 75
  • Statistics, Probability and Uncertainty 169
  • Civil and Structural Engineering 485
  • Control and Systems Engineering 140
  • Geology 30
  • Environmental Engineering 72
Replace Kalil Erazo with:
Kalil Erazo United States
Rodrigo Astroza Chile
Prakash Kripakaran United Kingdom
Minshui Huang China
Giuseppe Abbiati Italy
Carlo Rainieri Italy
Ilaria Venanzi Italy
Y.Q. Ni Hong Kong
Ki Young Koo United Kingdom
Xiaoming Lei China
Mingming Song relative to Kalil Erazo United States Kalil Erazo's profile →
Citations per field
00.5×
Kalil Erazo · 1×
Citations per year

Countries citing papers authored by Mingming Song

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingming 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 Mingming Song Line = papers co-authored together Mingming Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020103
2 201951
3 201750
4 201835
5 202033
6 202331
7 202330
8 202230
9 202228
10 202128
11 202226
12 201926
13 201725
14 201421
15 202117
16 202417
17 202014
18 202313
19 202410
20 20249

About Mingming Song

Mingming Song is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Control and Systems Engineering and Mechanics of Materials, having authored 45 papers that have together received 687 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (29 papers), Infrastructure Maintenance and Monitoring (11 papers), Probabilistic and Robust Engineering Design (8 papers), Seismic Performance and Analysis (6 papers), Structural Engineering and Vibration Analysis (5 papers), Machine Fault Diagnosis Techniques (3 papers), Concrete Corrosion and Durability (3 papers) and Ultrasonics and Acoustic Wave Propagation (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (169 citations), Civil and Structural Engineering (485 citations), Control and Systems Engineering (140 citations), Geology (30 citations) and Environmental Engineering (72 citations). Mingming Song has collaborated with scholars based in China, United States and Greece. Frequent co-authors include Babak Moaveni, Costas Papadimitriou, Hamed Ebrahimian, Eric M. Hines, Andreas Stavridis, Rodrigo Astroza, Iman Behmanesh, Gaëtan Kerschen, Ludovic Renson and Limin Sun. Their work appears in journals such as Mechanical Systems and Signal Processing, Structural Control and Health Monitoring, Journal of Civil Structural Health Monitoring, Engineering Structures and ISIJ International.

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