Kang Yang

507 total citations
24 papers, 375 citations indexed

About

Kang Yang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Kang Yang has authored 24 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 7 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Kang Yang's work include Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (10 papers) and Concrete Corrosion and Durability (6 papers). Kang Yang is often cited by papers focused on Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (10 papers) and Concrete Corrosion and Durability (6 papers). Kang Yang collaborates with scholars based in China, Japan and Canada. Kang Yang's co-authors include Youliang Ding, Huachen Jiang, Hanwei Zhao, Chunfeng Wan, Songtao Xue, Aiqun Li, Juan Guan, Yuli Chen, Bin Ding and Peng Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Mechanical Systems and Signal Processing.

In The Last Decade

Kang Yang

23 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Yang China 10 264 116 41 33 28 24 375
Hamid Reza Ahmadi Iran 11 299 1.1× 58 0.5× 82 2.0× 29 0.9× 17 0.6× 42 419
Said Quqa Italy 11 325 1.2× 57 0.5× 61 1.5× 37 1.1× 18 0.6× 38 394
Johannio Marulanda Colombia 12 496 1.9× 98 0.8× 33 0.8× 53 1.6× 24 0.9× 56 565
Sahar Hassani Australia 4 154 0.6× 55 0.5× 69 1.7× 26 0.8× 17 0.6× 5 306
Erica Magagnini Italy 13 270 1.0× 89 0.8× 100 2.4× 18 0.5× 22 0.8× 34 400
Peter Kraemer Germany 7 227 0.9× 101 0.9× 90 2.2× 49 1.5× 20 0.7× 35 285
L. Mthembu South Africa 8 130 0.5× 91 0.8× 24 0.6× 18 0.5× 14 0.5× 17 237
Gang S. Chen United States 12 257 1.0× 99 0.9× 63 1.5× 37 1.1× 24 0.9× 29 308
A. Lorenzana Spain 11 269 1.0× 83 0.7× 59 1.4× 54 1.6× 5 0.2× 44 457
Zhiqiang Shang China 7 582 2.2× 168 1.4× 105 2.6× 40 1.2× 23 0.8× 15 713

Countries citing papers authored by Kang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Yang. A scholar is included among the top collaborators of Kang Yang 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 Kang Yang. Kang Yang 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.
Ding, Youliang, et al.. (2025). A review of crack research in concrete structures based on data-driven and intelligent algorithms. Structures. 75. 108800–108800. 4 indexed citations
2.
Zang, Jian, Duo Xu, Kang Yang, et al.. (2025). Predicting mechanical properties of RX4E electric aircraft wing composite panels using deep learning. Mechanical Systems and Signal Processing. 227. 112398–112398. 5 indexed citations
3.
Chen, Yanning, Wenjing Zhao, Hao Liu, et al.. (2025). Self-assembly LDHs nanosheets/silk fibroin multilayer coating with enhanced biocompatibility, photothermal antimicrobial activity, and self-healing property. Journal of Material Science and Technology. 248. 266–280. 1 indexed citations
4.
Yang, Kang, et al.. (2023). Deep learning-based bridge damage identification approach inspired by internal force redistribution effects. Structural Health Monitoring. 23(2). 714–732. 7 indexed citations
5.
Jiang, Huachen, Chunfeng Wan, Ser Tong Quek, et al.. (2023). Data anomaly detection with automatic feature selection and deep learning. Structures. 57. 105082–105082. 2 indexed citations
6.
Yang, Kang, et al.. (2023). A multi-sensor mapping Bi-LSTM model of bridge monitoring data based on spatial-temporal attention mechanism. Measurement. 217. 113053–113053. 16 indexed citations
7.
Yang, Kang, et al.. (2023). Time-lag effect of temperature-induced strain for concrete box girder bridges. Journal of Civil Structural Health Monitoring. 14(2). 303–320. 4 indexed citations
8.
Yang, Kang, et al.. (2022). Quasi-Static Influence Line Identification and Damage Identification of Equal-Span Bridges Based on Measured Vehicle-Induced Deflection. The Baltic Journal of Road and Bridge Engineering. 17(2). 47–74. 1 indexed citations
9.
10.
Jiang, Huachen, Chunfeng Wan, Kang Yang, Youliang Ding, & Songtao Xue. (2021). Continuous missing data imputation with incomplete dataset by generative adversarial networks–based unsupervised learning for long-term bridge health monitoring. Structural Health Monitoring. 21(3). 1093–1109. 89 indexed citations
11.
Yang, Kang, Youliang Ding, Peng Sun, Huachen Jiang, & Zhiwen Wang. (2021). Computer vision-based crack width identification using F-CNN model and pixel nonlinear calibration. Structure and Infrastructure Engineering. 19(7). 978–989. 15 indexed citations
12.
Yang, Kang, et al.. (2021). DRSO-SLAM: A Dynamic RGB-D SLAM Algorithm for Indoor Dynamic Scenes. 1052–1058. 9 indexed citations
13.
Lin, Xin, Fei Pan, Kang Yang, et al.. (2021). A Stair‐Building Strategy for Tailoring Mechanical Behavior of Re‐Customizable Metamaterials. Advanced Functional Materials. 31(37). 61 indexed citations
14.
Lin, Xin, Fei Pan, Kang Yang, et al.. (2021). A Stair‐Building Strategy for Tailoring Mechanical Behavior of Re‐Customizable Metamaterials (Adv. Funct. Mater. 37/2021). Advanced Functional Materials. 31(37). 3 indexed citations
15.
Jiang, Huachen, Chunfeng Wan, Kang Yang, Youliang Ding, & Songtao Xue. (2021). Modeling relationships for field strain data under thermal effects using functional data analysis. Measurement. 177. 109279–109279. 11 indexed citations
16.
Zhao, Hanwei, et al.. (2019). Live-load strain evaluation of the prestressed concrete box-girder bridge using deep learning and clustering. Structural Health Monitoring. 19(4). 1051–1063. 58 indexed citations
17.
Diao, Boyu, Kang Yang, Qi Wang, et al.. (2019). A Scalable Testbed for Task Offloading and Deployment of Heterogeneous Edge Computing. 586–591. 3 indexed citations
18.
Gao, Qingqing, Xiaohua Wang, Mingzhe Rong, et al.. (2016). Fault simulation and diagnosis of high speed hydraulic operating mechanism of high voltage circuit breakers. 147. 180–183. 1 indexed citations
19.
Li, Ni, Xiang Li, & Kang Yang. (2014). Human performance model based on fuzzy rules. 4. 2225–2230. 3 indexed citations
20.
Yang, Kang, Xiao Song, & Xiang Li. (2014). Parallel Web server load balancing technology of cloud computing environments. 968–971.

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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