Xu Yang

5.6k total citations · 2 hit papers
101 papers, 4.5k citations indexed

About

Xu Yang is a scholar working on Civil and Structural Engineering, Mechanics of Materials and Polymers and Plastics. According to data from OpenAlex, Xu Yang has authored 101 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Civil and Structural Engineering, 14 papers in Mechanics of Materials and 12 papers in Polymers and Plastics. Recurrent topics in Xu Yang's work include Asphalt Pavement Performance Evaluation (84 papers), Infrastructure Maintenance and Monitoring (73 papers) and Innovative concrete reinforcement materials (12 papers). Xu Yang is often cited by papers focused on Asphalt Pavement Performance Evaluation (84 papers), Infrastructure Maintenance and Monitoring (73 papers) and Innovative concrete reinforcement materials (12 papers). Xu Yang collaborates with scholars based in China, United States and Australia. Xu Yang's co-authors include Zhanping You, Julian Mills-Beale, Hainian Wang, Can Jin, Xin Wang, Stephen Lau, Qingli Dai, Mohd Rosli Mohd Hasan, Vincent C. S. Lee and Ling Ding and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Hazardous Materials and Journal of Cleaner Production.

In The Last Decade

Xu Yang

98 papers receiving 4.4k citations

Hit Papers

Automated pavement crack detection and segmentation based... 2020 2026 2022 2024 2020 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xu Yang China 39 4.0k 912 571 316 314 101 4.5k
Hainian Wang China 39 3.4k 0.9× 906 1.0× 534 0.9× 242 0.8× 313 1.0× 150 3.9k
Lingyun You China 40 3.3k 0.8× 681 0.7× 629 1.1× 145 0.5× 606 1.9× 141 4.0k
Yiqiu Tan China 46 5.3k 1.3× 1.0k 1.1× 833 1.5× 205 0.6× 489 1.6× 306 6.2k
Zejiao Dong China 30 2.4k 0.6× 602 0.7× 511 0.9× 120 0.4× 254 0.8× 148 3.1k
Louay N. Mohammad United States 41 5.4k 1.4× 611 0.7× 717 1.3× 111 0.4× 328 1.0× 300 6.0k
Wei Jiang China 34 2.5k 0.6× 466 0.5× 753 1.3× 182 0.6× 175 0.6× 146 3.7k
Manfred N. Partl Switzerland 43 4.8k 1.2× 755 0.8× 964 1.7× 110 0.3× 318 1.0× 213 5.4k
Markus Oeser Germany 44 5.3k 1.3× 741 0.8× 877 1.5× 248 0.8× 814 2.6× 268 6.4k
Tao Ma China 47 5.2k 1.3× 524 0.6× 817 1.4× 124 0.4× 578 1.8× 258 6.0k
Fereidoon Moghadas Nejad Iran 45 6.1k 1.5× 973 1.1× 839 1.5× 99 0.3× 335 1.1× 230 6.9k

Countries citing papers authored by Xu Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xu Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xu Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xu Yang. A scholar is included among the top collaborators of Xu 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 Xu Yang. Xu 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.
Yang, Xu, et al.. (2025). A critical review on pavement distress detection using images and point clouds from visual features to geometric modeling. SHILAP Revista de lepidopterología. 5(4). 583–606.
2.
Wang, Hainian, et al.. (2024). Optimized bio-oil emulsification for sustainable asphalt production: A step towards a low-carbon pavement. Construction and Building Materials. 419. 135218–135218. 8 indexed citations
3.
Ge, Dongdong, et al.. (2024). A digital measurement method for mean texture depth of asphalt pavement by virtual sand patch test. Construction and Building Materials. 438. 137308–137308. 2 indexed citations
4.
Yang, Xu, et al.. (2024). Self-adaptive 2D 3D image fusion for automated pixel-level pavement crack detection. Automation in Construction. 168. 105756–105756. 8 indexed citations
5.
Han, Xiao, Jinliang Wu, Dongdong Ge, et al.. (2024). Influence investigation of morphological and distributional properties of surficial aggregates on skid resistance of asphalt pavement. Construction and Building Materials. 457. 139394–139394. 2 indexed citations
8.
Yang, Xu, et al.. (2024). Automation in road distress detection, diagnosis and treatment. SHILAP Revista de lepidopterología. 4(1). 1–26. 30 indexed citations
9.
Guan, Jinchao, Xu Yang, Pengfei Liu, et al.. (2023). Multi-scale asphalt pavement deformation detection and measurement based on machine learning of full field-of-view digital surface data. Transportation Research Part C Emerging Technologies. 152. 104177–104177. 11 indexed citations
10.
Jin, Can, et al.. (2023). Adaptive construction approach for virtual samples of hot mix asphalt based on 3-D structural characterization of laboratory compact specimens. Construction and Building Materials. 408. 133655–133655. 4 indexed citations
11.
Liu, Jingwei, et al.. (2021). A laboratory prototype of automatic pavement crack sealing based on a modified 3D printer. International Journal of Pavement Engineering. 23(9). 2969–2980. 25 indexed citations
12.
Jin, Can, et al.. (2020). 3-D virtual design and microstructural modeling of asphalt mixture based on a digital aggregate library. Computers & Structures. 242. 106378–106378. 30 indexed citations
13.
Jin, Can, Shouguo Li, & Xu Yang. (2020). Adaptive Three-Dimensional Aggregate Shape Fitting and Mesh Optimization for Finite-Element Modeling. Journal of Computing in Civil Engineering. 34(4). 8 indexed citations
14.
Yang, Xu, Zhanping You, David L. Perram, et al.. (2018). Emission analysis of recycled tire rubber modified asphalt in hot and warm mix conditions. Journal of Hazardous Materials. 365. 942–951. 159 indexed citations
15.
Wang, Hainian, Chonghui Wang, Zhanping You, Xu Yang, & Zhihan Huang. (2018). Characterising the asphalt concrete fracture performance from X-ray CT Imaging and finite element modelling. International Journal of Pavement Engineering. 19(3). 307–318. 54 indexed citations
16.
Zhang, Chen, Hainian Wang, Xu Yang, & Zhanping You. (2018). A Combinational Prediction Model for Transverse Crack of Asphalt Pavement. KSCE Journal of Civil Engineering. 22(6). 2109–2117. 6 indexed citations
17.
Yang, Xu, Zhanping You, Jacob E. Hiller, & David Watkins. (2017). Correlation Analysis between Temperature Indices and Flexible Pavement Distress Predictions Using Mechanistic-Empirical Design. Journal of Cold Regions Engineering. 31(4). 14 indexed citations
18.
Wang, Hainian, et al.. (2016). The Effect of Morphological Characteristic of Coarse Aggregates Measured with Fractal Dimension on Asphalt Mixture’s High-Temperature Performance. Advances in Materials Science and Engineering. 2016. 1–9. 55 indexed citations
19.
Yang, Xu. (2014). Analysis of the Latest Development and Tendency of Relative Sea-Level Change in Tianjin,China. Earth and Environment. 1 indexed citations
20.
Fini, Elham H., et al.. (2013). Rheological Characterization of Nano-particle based Bio-modified Binder. Transportation Research Board 92nd Annual MeetingTransportation Research Board. 31(11). 5137–5144. 36 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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