Chao Xing

1.9k total citations · 1 hit paper
60 papers, 1.5k citations indexed

About

Chao Xing is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chao Xing has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Civil and Structural Engineering, 11 papers in Mechanical Engineering and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chao Xing's work include Asphalt Pavement Performance Evaluation (34 papers), Infrastructure Maintenance and Monitoring (29 papers) and Geotechnical Engineering and Underground Structures (6 papers). Chao Xing is often cited by papers focused on Asphalt Pavement Performance Evaluation (34 papers), Infrastructure Maintenance and Monitoring (29 papers) and Geotechnical Engineering and Underground Structures (6 papers). Chao Xing collaborates with scholars based in China, Germany and Netherlands. Chao Xing's co-authors include Xin Geng, Jianxin Wu, Bin-Bin Gao, Chen-Wei Xie, Yiqiu Tan, Yiqiu Tan, Huining Xu, Lei Zhang, Fei Gao and Tianshuai Li and has published in prestigious journals such as Journal of Cleaner Production, IEEE Transactions on Image Processing and Construction and Building Materials.

In The Last Decade

Chao Xing

56 papers receiving 1.4k citations

Hit Papers

Deep Label Distribution Learning With Label Ambiguity 2017 2026 2020 2023 2017 100 200 300
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. Deep Label Distribution Learning With Label Ambiguity
    2017 349 citations Bin-Bin Gao, Chao Xing et al. IEEE Transactions on Image Processing profile →

Peers

Chao Xing
Zhihong Pan China
Tao Bai China
José J. M. Machado Portugal
Shengyuan Li China
Yupeng Li China
Yousok Kim South Korea
Nian Cai China
Devin K. Harris United States
Zhihong Pan China
Chao Xing
Citations per year, relative to Chao Xing Chao Xing (= 1×) peers Zhihong Pan

Countries citing papers authored by Chao Xing

Since Specialization
Citations

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

Fields of papers citing papers by Chao Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xing. A scholar is included among the top collaborators of Chao Xing 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 Chao Xing. Chao Xing 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.
Zhang, Lei, et al.. (2025). Comprehensive study on the applicability of evaluation index for rubber modified asphalt rheological property. Construction and Building Materials. 489. 140520–140520. 4 indexed citations
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Wang, Peng, et al.. (2025). Intelligent Identification of Hidden Defects in Asphalt Roads Using GPR Based on Loss Function and Anchor Box Optimization. Journal of Performance of Constructed Facilities. 39(6). 1 indexed citations
5.
Wang, Peng, et al.. (2024). Study on the relationship between depth of asphalt pavement cavity defect and GPR antenna transceiver distance based on SSIM-S. Measurement. 244. 116515–116515. 5 indexed citations
6.
Xing, Chao, et al.. (2024). Phase-change pavement structures with gradient low-thermal conductivity for permafrost protection. Construction and Building Materials. 438. 137168–137168. 6 indexed citations
7.
Xing, Chao, et al.. (2024). Optimizing asphalt mix design through predicting volumetric properties using interpretable machine learning. Powder Technology. 444. 119954–119954. 8 indexed citations
8.
Sun, Zhiqi, Jie Yi, Xueming Zhang, et al.. (2024). Consideration of Heat Transfer Characteristics in Thermal Stress Calculations of Asphalt Mixtures in the TSRST. Journal of Transportation Engineering Part B Pavements. 150(3). 1 indexed citations
9.
Zhang, Lei, et al.. (2024). Diffusion Influence Mechanism of Virgin and Aged Asphalt Binder System Based on Molecular Dynamics. Journal of Transportation Engineering Part B Pavements. 150(3). 22 indexed citations
10.
Wang, Changyou, et al.. (2024). The dynamics of frost formation on road surfaces: an experimental analysis. Cold Regions Science and Technology. 223. 104225–104225. 3 indexed citations
11.
Sun, Zhiqi, et al.. (2024). Effective optimization method of asphalt binders and asphalt mixtures based on the two-parameter of contraction and relaxation. Construction and Building Materials. 449. 138453–138453. 1 indexed citations
12.
Tan, Yiqiu, et al.. (2024). Application of smartrock sensors in monitoring the motion of asphalt pavements aggregates and ballast particles: a comprehensive review. Innovative Infrastructure Solutions. 9(9). 3 indexed citations
13.
Meng, Tao, et al.. (2023). Method for direction diagnosis of multiple fluctuation sources on the flow standard facility. Measurement. 218. 113133–113133. 1 indexed citations
14.
Wang, Dawei, Xuan Yang, Yulin He, et al.. (2023). A novel method for evaluating the durability and environmental pollution of road markings on asphalt pavement. Journal of Cleaner Production. 411. 137255–137255. 14 indexed citations
15.
Zhang, Lei, et al.. (2023). Mechanism of physical hardening on the fracture characteristics of polymer-modified asphalt binder. Construction and Building Materials. 409. 134091–134091. 54 indexed citations
16.
Tan, Yiqiu, et al.. (2023). Investigation into the force chain transmission mechanism of asphalt mixture under indirect tensile mode. Construction and Building Materials. 411. 134500–134500. 11 indexed citations
17.
Xing, Chao, et al.. (2023). Correlation model between mesostructure and gradation of asphalt mixture based on statistical method. Electronic Research Archive. 31(3). 1439–1465. 2 indexed citations
18.
Xing, Chao, et al.. (2020). Investigation on the distributing behaviors of clogging particles in permeable asphalt mixtures from the microstructure perspective. Construction and Building Materials. 263. 120531–120531. 17 indexed citations
19.
Xing, Chao, Huining Xu, Yiqiu Tan, et al.. (2018). Gradation measurement of asphalt mixture by X-Ray CT images and digital image processing methods. Measurement. 132. 377–386. 78 indexed citations
20.
Gao, Bin-Bin, Chao Xing, Chen-Wei Xie, Jianxin Wu, & Xin Geng. (2017). Deep Label Distribution Learning With Label Ambiguity. IEEE Transactions on Image Processing. 26(6). 2825–2838. 349 indexed citations breakdown →

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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