Mingming Song

958 total citations
45 papers, 636 citations indexed

About

Mingming Song is a scholar working on Civil and Structural Engineering, Statistics, Probability and Uncertainty and Mechanical Engineering. According to data from OpenAlex, Mingming Song has authored 45 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Civil and Structural Engineering, 8 papers in Statistics, Probability and Uncertainty and 6 papers in Mechanical Engineering. Recurrent topics in Mingming Song's work include Structural Health Monitoring Techniques (29 papers), Infrastructure Maintenance and Monitoring (11 papers) and Probabilistic and Robust Engineering Design (8 papers). Mingming Song is often cited by papers focused on Structural Health Monitoring Techniques (29 papers), Infrastructure Maintenance and Monitoring (11 papers) and Probabilistic and Robust Engineering Design (8 papers). Mingming Song collaborates with scholars based in China, United States and Greece. Mingming Song's co-authors include Babak Moaveni, Costas Papadimitriou, Hamed Ebrahimian, Eric M. Hines, Andreas Stavridis, Rodrigo Astroza, Ludovic Renson, Gaëtan Kerschen, Iman Behmanesh and Limin Sun and has published in prestigious journals such as The Science of The Total Environment, Renewable Energy and Sensors.

In The Last Decade

Mingming Song

40 papers receiving 622 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mingming Song China 15 461 167 137 118 70 45 636
Eric M. Hernandez United States 16 470 1.0× 103 0.6× 108 0.8× 82 0.7× 49 0.7× 40 570
Kalil Erazo United States 13 585 1.3× 93 0.6× 167 1.2× 117 1.0× 39 0.6× 22 663
Ilaria Venanzi Italy 21 1.0k 2.2× 126 0.8× 88 0.6× 117 1.0× 219 3.1× 85 1.2k
Franco Bontempi Italy 21 949 2.1× 219 1.3× 98 0.7× 107 0.9× 62 0.9× 70 1.1k
Rodrigo Astroza Chile 23 1.5k 3.2× 310 1.9× 273 2.0× 226 1.9× 129 1.8× 77 1.7k
Rita Greco Italy 24 1.5k 3.2× 283 1.7× 120 0.9× 169 1.4× 58 0.8× 89 1.7k
Minshui Huang China 18 830 1.8× 62 0.4× 72 0.5× 174 1.5× 36 0.5× 49 1.0k
Siu-seong Law China 16 611 1.3× 43 0.3× 121 0.9× 262 2.2× 60 0.9× 46 770
Giuseppe Abbiati Denmark 14 446 1.0× 118 0.7× 95 0.7× 161 1.4× 23 0.3× 49 586
André Jacomel Torii Brazil 18 589 1.3× 314 1.9× 66 0.5× 79 0.7× 43 0.6× 44 794

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-authorship network of co-authors of Mingming Song

This figure shows the co-authorship network connecting the top 25 collaborators of Mingming Song. A scholar is included among the top collaborators of Mingming 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 Mingming Song. Mingming Song 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
1.
Sun, Limin, et al.. (2025). Joint load-parameter-response identification using a physics-encoded neural network. Mechanical Systems and Signal Processing. 230. 112597–112597. 4 indexed citations
2.
Li, Yixian, et al.. (2025). Physics-encoded interpretable self-supervised learning for structural damage identification. Engineering Structures. 343. 121045–121045. 1 indexed citations
3.
Zhou, Yu, et al.. (2025). Analyze the application and mechanism of Traditional Chinese Medicine in chronic urticaria based on data mining and network pharmacology. Chinese Journal of Analytical Chemistry. 53(4). 100512–100512.
4.
Song, Mingming, et al.. (2025). Rapid Simulation of Yarn-Level Realism in Fuzzy Yarn Knitted Fabrics. Fibers and Polymers. 26(7). 3169–3180.
5.
Song, Mingming, et al.. (2025). Bridge Girder‐End Displacement Reconstruction Using a Novel Hybrid Attention Mechanism Leveraging Multisource Information. Structural Control and Health Monitoring. 2025(1).
6.
Song, Mingming, et al.. (2024). Bayesian finite element model inversion of offshore wind turbine structures for joint parameter-load estimation. Ocean Engineering. 313. 119458–119458. 3 indexed citations
7.
Song, Mingming, et al.. (2024). Real-Time Bridge Deflection Prediction Based on a Novel Bayesian Dynamic Difference Model and Nonstationary Data. Journal of Bridge Engineering. 29(9). 3 indexed citations
8.
Song, Mingming, et al.. (2024). Structural Dynamic Response Reconstruction Based on Recurrent Neural Network–Aided Kalman Filter. Structural Control and Health Monitoring. 2024(1). 5 indexed citations
9.
Song, Mingming, Babak Moaveni, & Eric M. Hines. (2024). Hierarchical Bayesian quantification of aerodynamic effects on an offshore wind turbine under varying environmental and operational conditions. Mechanical Systems and Signal Processing. 224. 112174–112174. 2 indexed citations
10.
Song, Mingming, et al.. (2024). Bridge deformation quantiles prediction with MVO-CNN-BiLSTM based on mixed attention mechanism and periodic multi-source information fusion. Journal of Civil Structural Health Monitoring. 15(5). 1381–1402. 1 indexed citations
11.
Song, Mingming, et al.. (2024). Hierarchical Bayesian model updating of a long-span arch bridge considering temperature and traffic loads. Mechanical Systems and Signal Processing. 210. 111152–111152. 13 indexed citations
12.
Song, Mingming, et al.. (2024). Time-convolutional network with joint time-frequency domain loss based on arithmetic optimization algorithm for dynamic response reconstruction. Engineering Structures. 321. 119001–119001. 8 indexed citations
13.
Song, Mingming, et al.. (2024). A structural 3D displacement measurement method using monocular camera based on multiple feature points tracking. Measurement. 243. 116406–116406. 5 indexed citations
14.
Branlard, Emmanuel, et al.. (2023). Sensitivity Analysis of Modal Parameters of a Jacket Offshore Wind Turbine to Operational Conditions. Journal of Marine Science and Engineering. 11(8). 1524–1524. 13 indexed citations
15.
Song, Mingming, et al.. (2023). Joint parameter-input estimation for digital twinning of the Block Island wind turbine using output-only measurements. Mechanical Systems and Signal Processing. 198. 110425–110425. 27 indexed citations
16.
Song, Mingming, et al.. (2023). One year monitoring of an offshore wind turbine: Variability of modal parameters to ambient and operational conditions. Engineering Structures. 297. 117022–117022. 27 indexed citations
17.
Hines, Eric M., Christopher D. P. Baxter, David Ciochetto, et al.. (2022). Structural instrumentation and monitoring of the Block Island Offshore Wind Farm. Renewable Energy. 202. 1032–1045. 23 indexed citations
18.
19.
Lian, Jijian, et al.. (2021). Ground vibration characteristics induced by flood discharge of a high dam: An experimental investigation. Journal of Renewable and Sustainable Energy. 13(1). 3 indexed citations
20.
Brett, Michael T., et al.. (2017). The bioavailability of different dissolved organic nitrogen compounds for the freshwater algae Raphidocelis subcapitata. The Science of The Total Environment. 618. 479–486. 25 indexed citations

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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