Guangwei Yang

1.7k total citations · 2 hit papers
57 papers, 1.3k citations indexed

About

Guangwei Yang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guangwei Yang has authored 57 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Civil and Structural Engineering, 18 papers in Mechanical Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guangwei Yang's work include Infrastructure Maintenance and Monitoring (46 papers), Asphalt Pavement Performance Evaluation (40 papers) and Railway Engineering and Dynamics (10 papers). Guangwei Yang is often cited by papers focused on Infrastructure Maintenance and Monitoring (46 papers), Asphalt Pavement Performance Evaluation (40 papers) and Railway Engineering and Dynamics (10 papers). Guangwei Yang collaborates with scholars based in United States and China. Guangwei Yang's co-authors include Kelvin C. P. Wang, Qiang Li, You Zhan, Yue Fei, Allen Zhang, Cheng Chen, Baoxian Li, Enhui Yang, Yang Liu and Chaohui Wang and has published in prestigious journals such as Construction and Building Materials, Sensors and Medical Physics.

In The Last Decade

Guangwei Yang

55 papers receiving 1.3k citations

Hit Papers

Pixel-Level Cracking Detection on 3D Asphalt Pavement Ima... 2018 2026 2020 2023 2019 2018 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
Guangwei Yang United States 18 1.1k 305 121 97 87 57 1.3k
Eduardo Fortunato Portugal 24 1.1k 1.0× 913 3.0× 105 0.9× 26 0.3× 102 1.2× 73 1.7k
Yi Peng China 15 1.2k 1.1× 264 0.9× 124 1.0× 48 0.5× 6 0.1× 61 1.4k
Raúl Fuentes Germany 17 828 0.8× 116 0.4× 154 1.3× 50 0.5× 3 0.0× 69 1.1k
Tong Zhao China 16 252 0.2× 161 0.5× 20 0.2× 81 0.8× 13 0.1× 69 753
Guolin Wang China 16 226 0.2× 283 0.9× 11 0.1× 16 0.2× 65 0.7× 113 880
Furui Wang United States 23 965 0.9× 838 2.7× 166 1.4× 63 0.6× 5 0.1× 56 1.8k
Nam-Ho Kim United States 13 346 0.3× 137 0.4× 21 0.2× 8 0.1× 29 0.3× 38 854
Carmelo Scuro Italy 15 386 0.4× 68 0.2× 86 0.7× 51 0.5× 3 0.0× 61 726
Hima Nikafshan Rad Iran 19 416 0.4× 535 1.8× 188 1.6× 22 0.2× 16 0.2× 27 1.2k
Paolo Chiariotti Italy 15 282 0.3× 113 0.4× 45 0.4× 74 0.8× 2 0.0× 80 900

Countries citing papers authored by Guangwei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guangwei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangwei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guangwei Yang. A scholar is included among the top collaborators of Guangwei 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 Guangwei Yang. Guangwei 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.
Peng, Yi, Kui Wang, Qiang Li, et al.. (2025). Rubber-texture interface friction investigation based on FEM back-calculation and PCA-RF method. Construction and Building Materials. 491. 142808–142808.
2.
Wang, Guolong, Kelvin C. P. Wang, & Guangwei Yang. (2025). Intelligent evaluation of pavement friction at high speeds with artificial intelligence powered three-dimensional laser imaging technology. Engineering Applications of Artificial Intelligence. 150. 110580–110580. 1 indexed citations
3.
Peng, Yi, et al.. (2025). Pavement Friction Prediction Based Upon Multi-View Fractal and the XGBoost Framework. Lubricants. 13(9). 391–391. 1 indexed citations
4.
5.
Wang, Guolong, Kelvin C. P. Wang, & Guangwei Yang. (2023). Deep learning based image reconstruction at any speeds for faster pavement texture measurement using 3D laser technology. International Journal of Pavement Engineering. 24(2). 5 indexed citations
6.
Liu, Wenyao, et al.. (2022). Long-Term Performance and Safety Implications of High-Friction Surfacing Treatments. Journal of Transportation Engineering Part B Pavements. 149(1). 1 indexed citations
7.
Yang, Guangwei, Allen Zhang, Kelvin C. P. Wang, et al.. (2022). Deep-learning based non-contact method for assessing pavement skid resistance using 3D laser imaging technology. International Journal of Pavement Engineering. 24(2). 9 indexed citations
8.
Yang, Guangwei, et al.. (2022). A Machine Learning Tool for Pavement Design and Analysis. KSCE Journal of Civil Engineering. 27(1). 207–217. 6 indexed citations
9.
Yang, Guangwei, et al.. (2021). Neural network-based prediction of sideway force coefficient for asphalt pavement using high-resolution 3D texture data. International Journal of Pavement Engineering. 23(9). 3157–3166. 31 indexed citations
10.
Zhang, Allen, Guangwei Yang, Kelvin C. P. Wang, et al.. (2021). Automated joint faulting measurement based on full-lane 3D pavement surface data. Transportation Research Part C Emerging Technologies. 128. 103221–103221. 16 indexed citations
11.
Li, Qiang, Kelvin C. P. Wang, & Guangwei Yang. (2021). Evaluation of Compression Algorithms for 3D Pavement Image Data. Journal of Infrastructure Systems. 27(4). 1 indexed citations
12.
Wang, Kelvin C. P., et al.. (2020). Standard Definitions for Common Types of Pavement Cracking. Transportation Research Board eBooks. 3 indexed citations
13.
Yang, Guangwei, et al.. (2020). Evaluation of Glymphatic System Using Diffusion MR Technique in T2DM Cases. Frontiers in Human Neuroscience. 14. 300–300. 88 indexed citations
14.
Yang, Guangwei, Kelvin C. P. Wang, & Qiang Li. (2020). Multiresolution analysis of three-dimensional (3D) surface texture for asphalt pavement friction estimation. International Journal of Pavement Engineering. 22(14). 1882–1891. 29 indexed citations
15.
Yang, Guangwei, et al.. (2019). Random Forest–Based Pavement Surface Friction Prediction Using High-Resolution 3D Image Data. Journal of Testing and Evaluation. 49(2). 1141–1152. 29 indexed citations
16.
Yang, Guangwei, et al.. (2019). Perihematomal edema in basal ganglia intracerebral hemorrhage by using radiomics approach of CT images. Chinese Journal of Neuromedicine. 18(12). 1248–1254. 1 indexed citations
17.
Li, Qiang, et al.. (2019). 3D Characterization of Aggregates for Pavement Skid Resistance. Journal of Transportation Engineering Part B Pavements. 145(2). 4019002–4019002. 21 indexed citations
18.
Li, Qiang, Guangwei Yang, Kelvin C. P. Wang, You Zhan, & Chaohui Wang. (2017). Novel Macro- and Microtexture Indicators for Pavement Friction by Using High-Resolution Three-Dimensional Surface Data. Transportation Research Record Journal of the Transportation Research Board. 2641(1). 164–176. 64 indexed citations
19.
Yang, Guangwei, Qiang Li, You Zhan, Kelvin C. P. Wang, & Chaohui Wang. (2017). Wavelet based macrotexture analysis for pavement friction prediction. KSCE Journal of Civil Engineering. 22(1). 117–124. 50 indexed citations
20.
Yang, Guangwei & Yebin Liu. (2009). 3D object relighting based on multi-view stereo and image based lighting techniques. 24. 934–937. 1 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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