Dongming Feng

4.0k total citations · 3 hit papers
66 papers, 3.1k citations indexed

About

Dongming Feng is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Dongming Feng has authored 66 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Civil and Structural Engineering, 18 papers in Mechanical Engineering and 12 papers in Mechanics of Materials. Recurrent topics in Dongming Feng's work include Structural Health Monitoring Techniques (48 papers), Infrastructure Maintenance and Monitoring (24 papers) and Structural Engineering and Vibration Analysis (21 papers). Dongming Feng is often cited by papers focused on Structural Health Monitoring Techniques (48 papers), Infrastructure Maintenance and Monitoring (24 papers) and Structural Engineering and Vibration Analysis (21 papers). Dongming Feng collaborates with scholars based in China, United States and New Zealand. Dongming Feng's co-authors include Maria Q. Feng, Yoshio Fukuda, Ekin Özer, Hao Sun, Yang Deng, Aiqun Li, Qi Ye, Tianyou Tao, Hao Wang and Gang Wu and has published in prestigious journals such as Sensors, Journal of Sound and Vibration and Mechanical Systems and Signal Processing.

In The Last Decade

Dongming Feng

64 papers receiving 3.1k citations

Hit Papers

Computer vision for SHM of civil infrastructure: From dyn... 2015 2026 2018 2022 2017 2015 2016 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Computer vision for SHM of civil infrastructure: From dynamic response measurement to damage detection – A review
    2017 566 citations Dongming Feng, Maria Q. Feng Engineering Structures profile →
  2. A Vision-Based Sensor for Noncontact Structural Displacement Measurement
    2015 333 citations Dongming Feng, Maria Q. Feng et al. Sensors profile →
  3. Experimental validation of cost-effective vision-based structural health monitoring
    2016 274 citations Dongming Feng, Maria Q. Feng profile →

Peers

Dongming Feng
F. Necati Çatbaş United States
Sung‐Han Sim South Korea
Peter Avitabile United States
Chuan‐Zhi Dong United States
Qingzhou Mao China
Elsa Caetano Portugal
Zhu Mao United States
Qingzhao Kong China
F. Necati Çatbaş United States
Dongming Feng
Citations per year, relative to Dongming Feng Dongming Feng (= 1×) peers F. Necati Çatbaş

Countries citing papers authored by Dongming Feng

Since Specialization
Citations

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

Fields of papers citing papers by Dongming Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dongming Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Dongming Feng. A scholar is included among the top collaborators of Dongming Feng 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 Dongming Feng. Dongming Feng 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.
Feng, Dongming, et al.. (2025). Deep learning-based damage assessment of hinge joints for multi-girder bridges utilizing vehicle-induced bridge responses. Engineering Structures. 333. 120148–120148. 9 indexed citations
2.
3.
Ding, Youliang, Shitong Hou, Gang Wu, et al.. (2025). Intelligent perception for multiple intrusion events of urban long-line infrastructures with distributed optical fiber sensing. Measurement. 248. 116921–116921. 2 indexed citations
4.
Feng, Dongming, et al.. (2024). Deep learning-based identification of vehicular moving forces for bridges without axle configurations. Engineering Structures. 304. 117646–117646. 7 indexed citations
5.
Zeng, Yan, et al.. (2024). Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture. Vehicle System Dynamics. 63(8). 1597–1624. 7 indexed citations
6.
Wang, Haochen & Dongming Feng. (2024). Rapid Geometric Evaluation of Transportation Infrastructure Based on a Proposed Low-Cost Portable Mobile Laser Scanning System. Sensors. 24(2). 425–425. 2 indexed citations
7.
Feng, Dongming, et al.. (2024). Bridge influence line identification using an adaptive enhanced variational mode decomposition. Engineering Structures. 326. 119561–119561. 4 indexed citations
8.
9.
Feng, Dongming, et al.. (2024). Theoretical study of extracting modal frequencies and hinge joint stiffness for thin-walled assembled multi-girder bridges from 3D vehicle. Thin-Walled Structures. 205. 112429–112429. 4 indexed citations
10.
Feng, Dongming, et al.. (2023). Fatigue life evaluation of bridge stay cables subject to monitoring traffic and considering road roughness. Engineering Structures. 293. 116572–116572. 24 indexed citations
11.
Feng, Dongming, et al.. (2023). A comparative study of vehicle-bridge interaction dynamics with 2D and 3D vehicle models. Engineering Structures. 292. 116493–116493. 17 indexed citations
12.
Feng, Dongming, et al.. (2023). Structural modal identification using a portable laser-and-camera measurement system. Measurement. 214. 112768–112768. 23 indexed citations
13.
Wu, Gang, et al.. (2022). Vision‐based displacement measurement using an unmanned aerial vehicle. Structural Control and Health Monitoring. 29(10). 51 indexed citations
14.
Zhang, Lu, Dongming Feng, & Gang Wu. (2022). Simultaneous identification of bridge damage and vehicle parameters based on bridge strain responses. Structural Control and Health Monitoring. 29(6). 18 indexed citations
15.
Xu, Zidong, et al.. (2019). Non-stationary turbulent wind field simulation of bridge deck using non-negative matrix factorization. Journal of Wind Engineering and Industrial Aerodynamics. 188. 235–246. 23 indexed citations
16.
17.
Deng, Yang, Aiqun Li, & Dongming Feng. (2018). Fatigue Reliability Assessment for Orthotropic Steel Decks Based on Long-Term Strain Monitoring. Sensors. 18(1). 181–181. 19 indexed citations
18.
Feng, Dongming, Maria Q. Feng, Ekin Özer, & Yoshio Fukuda. (2015). A Vision-Based Sensor for Noncontact Structural Displacement Measurement. Sensors. 15(7). 16557–16575. 333 indexed citations breakdown →
19.
Özer, Ekin, Maria Q. Feng, & Dongming Feng. (2015). Citizen Sensors for SHM: Towards a Crowdsourcing Platform. Sensors. 15(6). 14591–14614. 66 indexed citations
20.
Jin, Hui, et al.. (2015). Modal analysis of the triple-tower twin-span suspension bridge in deck unit erection stage. Journal of Vibroengineering. 17(4). 2001–2012. 3 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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