Jing Chai

About

Jing Chai is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Jing Chai has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Civil and Structural Engineering, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Jing Chai’s work include Geotechnical Engineering and Soil Stabilization (17 papers), Geotechnical Engineering and Soil Mechanics (13 papers) and Geotechnical Engineering and Underground Structures (12 papers). Jing Chai is often cited by papers focused on Geotechnical Engineering and Soil Stabilization (17 papers), Geotechnical Engineering and Soil Mechanics (13 papers) and Geotechnical Engineering and Underground Structures (12 papers). Jing Chai collaborates with scholars based in China, Japan and Australia. Jing Chai's co-authors include John Carter, Shigenori Hayashi, N. Miura, Hong‐Hu Zhu, Shui‐Long Shen, Dennes T. Bergado, Takenori Hino, D. T. Bergado, Hongwei Liu and Marolo Alfaro and has published in prestigious journals such as RSC Advances, Information Sciences and Nanotechnology.

In The Last Decade

Co-authorship network of co-authors of Jing Chai i

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Fields of papers citing papers by Jing Chai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jing Chai

Since Specialization

Citations

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