Chao Xing
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- Asphalt Pavement Performance Evaluation 34
- Infrastructure Maintenance and Monitoring 29
- Geotechnical Engineering and Underground Structures 6
- Innovative concrete reinforcement materials 3
- Concrete and Cement Materials Research 3
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- Face recognition and analysis 3
- Signal Processing top 5%
- Pollution top 10%
- Smart Materials for Construction 5
- Artificial Intelligence top 5%
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- Transport Systems and Technology 3
- Co-authors
- Xin GengJianxin WuBin-Bin GaoChen-Wei XieYiqiu TanHuining XuLei ZhangFei Gao
- Journals
- Journal of Cleaner Production (1 paper)IEEE Transactions on Image Processing (1 paper)Construction and Building Materials (15 papers)
- Partner nations
- ChinaGermanyNetherlands
In The Last Decade
Chao Xing
56 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Civil and Structural Engineering 810
- Computer Vision and Pattern Recognition 377
- Signal Processing 120
- Pollution 100
- Artificial Intelligence 245
Countries citing papers authored by Chao Xing
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
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
The 25 scholars most cited alongside Chao Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 22 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 1 | |
| 12 | 2024 | 3 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 14 | |
| 15 | 2023 | 54 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 17 | |
| 19 | 2018 | 78 | |
| 20 | Deep Label Distribution Learning With Label Ambiguitybreakdown → | 2017 | 349 |
About Chao Xing
Chao Xing is a scholar working on Civil and Structural Engineering, Metals and Alloys and Pollution, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Asphalt Pavement Performance Evaluation (34 papers), Infrastructure Maintenance and Monitoring (29 papers), Geotechnical Engineering and Underground Structures (6 papers), Smart Materials for Construction (5 papers), Face recognition and analysis (3 papers), Transport Systems and Technology (3 papers), Innovative concrete reinforcement materials (3 papers) and Concrete and Cement Materials Research (3 papers). The work is most often cited by research in Civil and Structural Engineering (810 citations), Computer Vision and Pattern Recognition (377 citations) and Signal Processing (120 citations). Chao Xing has collaborated with scholars based in China, Germany and Netherlands. Frequent 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. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Image Processing and Construction and Building Materials.
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.