Changfa Ai

91 papers and 923 indexed citations i.

About

Changfa Ai is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Changfa Ai has authored 91 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Civil and Structural Engineering, 13 papers in Mechanical Engineering and 13 papers in Mechanics of Materials. Recurrent topics in Changfa Ai’s work include Asphalt Pavement Performance Evaluation (80 papers), Infrastructure Maintenance and Monitoring (60 papers) and Geotechnical Engineering and Underground Structures (16 papers). Changfa Ai is often cited by papers focused on Asphalt Pavement Performance Evaluation (80 papers), Infrastructure Maintenance and Monitoring (60 papers) and Geotechnical Engineering and Underground Structures (16 papers). Changfa Ai collaborates with scholars based in China, United States and United Kingdom. Changfa Ai's co-authors include Ali Rahman, Yanjun Qiu, Dongya Ren, Allen Zhang, Chunfu Xin, Chuanqi Yan, Xiao‐Wei Gao, Kelvin C. P. Wang, Enhui Yang and Gongyun Liao and has published in prestigious journals such as Scientific Reports, Journal of Cleaner Production and Construction and Building Materials.

In The Last Decade

Co-authorship network of co-authors of Changfa Ai i

Fields of papers citing papers by Changfa Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Changfa Ai

Since Specialization
Citations

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

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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2025