Chengjun Tan

629 total citations
32 papers, 465 citations indexed

About

Chengjun Tan is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanical Engineering. According to data from OpenAlex, Chengjun Tan has authored 32 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Civil and Structural Engineering, 11 papers in Building and Construction and 9 papers in Mechanical Engineering. Recurrent topics in Chengjun Tan's work include Structural Health Monitoring Techniques (13 papers), Innovative concrete reinforcement materials (13 papers) and Structural Behavior of Reinforced Concrete (11 papers). Chengjun Tan is often cited by papers focused on Structural Health Monitoring Techniques (13 papers), Innovative concrete reinforcement materials (13 papers) and Structural Behavior of Reinforced Concrete (11 papers). Chengjun Tan collaborates with scholars based in China, United States and Ireland. Chengjun Tan's co-authors include Nasim Uddin, Hua Zhao, Eugene J. OBrien, Ahmed Elhattab, Chul‐Woo Kim, Patrick McGetrick, Xudong Shao, Ping Zhu, Paul C. Fitzgerald and Bin Zhang and has published in prestigious journals such as Construction and Building Materials, Cement and Concrete Composites and Remote Sensing.

In The Last Decade

Chengjun Tan

28 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chengjun Tan China 13 399 183 64 62 22 32 465
Inamullah Khan Pakistan 9 465 1.2× 56 0.3× 31 0.5× 140 2.3× 24 1.1× 37 531
Q. Li China 8 223 0.6× 217 1.2× 50 0.8× 8 0.1× 32 1.5× 15 392
Hua Zhao China 14 631 1.6× 208 1.1× 100 1.6× 274 4.4× 25 1.1× 44 698
Dongxiao Wu China 5 214 0.5× 29 0.2× 11 0.2× 138 2.2× 9 0.4× 8 403
Biao Ma China 13 508 1.3× 117 0.6× 42 0.7× 180 2.9× 8 0.4× 29 618
Yayun Li China 9 97 0.2× 48 0.3× 36 0.6× 26 0.4× 5 0.2× 32 347
Tan Le China 8 357 0.9× 42 0.2× 12 0.2× 37 0.6× 6 0.3× 11 474
Guanghui Li China 11 213 0.5× 38 0.2× 41 0.6× 53 0.9× 31 1.4× 27 351
Xiuyu Liu China 9 174 0.4× 79 0.4× 28 0.4× 8 0.1× 16 0.7× 17 298
Minho Kwon South Korea 14 515 1.3× 49 0.3× 64 1.0× 385 6.2× 27 1.2× 100 659

Countries citing papers authored by Chengjun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chengjun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengjun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chengjun Tan. A scholar is included among the top collaborators of Chengjun Tan 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 Chengjun Tan. Chengjun Tan 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.
Yang, Fei, et al.. (2025). Effect of headed stud spacing on flexural behavior of steel plate-UHPC composite beams: Experimental and numerical investigation. Case Studies in Construction Materials. 22. e04403–e04403. 1 indexed citations
2.
Zhao, Hua, et al.. (2025). Tensile behavior of reinforced UHPC: Effects of autogenous shrinkage and model of tensile capacity via deep learning-based symbolic regression. Cement and Concrete Composites. 160. 106019–106019. 3 indexed citations
3.
Tan, Chengjun, et al.. (2025). DTS-MixNet: Dynamic Spatiotemporal Graph Mixed Network for Anomaly Detection in Multivariate Time Series. Big Data and Cognitive Computing. 9(10). 245–245.
5.
Tan, Chengjun, et al.. (2025). Orthotropic steel deck reinforcement technique for super-long span bridges with thin dense-reinforced UHPC Layers. Engineering Structures. 345. 121444–121444.
6.
Zhao, Hua, et al.. (2024). Concept and flexural performance of non-prestressed steel plate-UHPC-NC composite girder bridge. Engineering Structures. 315. 118417–118417. 13 indexed citations
7.
Zhao, Hua, et al.. (2024). Shear behavior on PBL shear connector with a relatively thin perforated steel plate in steel-UHPC composite bridge deck system. Engineering Structures. 316. 118583–118583. 4 indexed citations
8.
Zhao, Hua, et al.. (2024). Experimental and numerical investigation on deck system of a 102 m simply supported prestressed UHPC box-girder highway bridge. Engineering Structures. 316. 118601–118601. 4 indexed citations
9.
Zhao, Hua, et al.. (2024). Prediction of tensile strain capacity of ultra-high performance concrete based on crack characteristics. Construction and Building Materials. 458. 139632–139632. 4 indexed citations
10.
Tan, Chengjun, et al.. (2023). Shear behavior of pre-damaged RC beams strengthened with steel plate and UHPC. Journal of Constructional Steel Research. 212. 108287–108287. 14 indexed citations
11.
Tan, Chengjun, et al.. (2023). An Extended Bridge Weigh-in-Motion System without Vehicular Axles and Speed Detectors Using Nonnegative LASSO Regularization. Journal of Bridge Engineering. 28(5). 4 indexed citations
12.
Tan, Chengjun, et al.. (2023). Flexural Behavior on a Steel–UHPC Composite Deck System of Long-Span Bridges. Journal of Bridge Engineering. 28(9). 16 indexed citations
13.
Tan, Chengjun, Hua Zhao, Nasim Uddin, & Banfu Yan. (2022). A Fast Wavelet-Based Bridge Condition Assessment Approach Using Only Moving Vehicle Measurements. Applied Sciences. 12(21). 11277–11277. 6 indexed citations
14.
Tan, Chengjun & Nasim Uddin. (2020). Hilbert transform based approach to improve extraction of "drive-by" bridge frequency. Smart Structures and Systems. 25(3). 265. 17 indexed citations
15.
Zhao, Hua, Chengjun Tan, Eugene J. OBrien, Nasim Uddin, & Bin Zhang. (2020). Wavelet-Based Optimum Identification of Vehicle Axles Using Bridge Measurements. Applied Sciences. 10(21). 7485–7485. 9 indexed citations
16.
Tan, Chengjun, Hua Zhao, Eugene J. OBrien, et al.. (2020). Extracting mode shapes from drive-by measurements to detect global and local damage in bridges. Structure and Infrastructure Engineering. 17(11). 1582–1596. 33 indexed citations
17.
Tan, Chengjun, Ahmed Elhattab, & Nasim Uddin. (2020). Wavelet-Entropy Approach for Detection of Bridge Damages Using Direct and Indirect Bridge Records. Journal of Infrastructure Systems. 26(4). 30 indexed citations
18.
Tan, Chengjun, Ahmed Elhattab, & Nasim Uddin. (2017). “Drive-by’’ bridge frequency-based monitoring utilizing wavelet transform. Journal of Civil Structural Health Monitoring. 7(5). 615–625. 68 indexed citations
19.
Liu, J., et al.. (2015). Multivariate Bayesian VSI control chart. 22. 34–37. 1 indexed citations
20.
Zhao, Hua, Nasim Uddin, Xudong Shao, Ping Zhu, & Chengjun Tan. (2014). Field-calibrated influence lines for improved axle weight identification with a bridge weigh-in-motion system. Structure and Infrastructure Engineering. 11(6). 721–743. 42 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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