Kai Ding

28 papers and 409 indexed citations i.

About

Kai Ding is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Aerospace Engineering. According to data from OpenAlex, Kai Ding has authored 28 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Global and Planetary Change and 5 papers in Aerospace Engineering. Recurrent topics in Kai Ding’s work include Remote Sensing and LiDAR Applications (5 papers), Land Use and Ecosystem Services (5 papers) and Remote Sensing and Land Use (4 papers). Kai Ding is often cited by papers focused on Remote Sensing and LiDAR Applications (5 papers), Land Use and Ecosystem Services (5 papers) and Remote Sensing and Land Use (4 papers). Kai Ding collaborates with scholars based in China, United States and Japan. Kai Ding's co-authors include Qingquan Li, Chao Yang, Junyi Chen, Tiezhu Shi, Zhongwen Hu, Guofeng Wu, Lianwen Jin, Tiezhu Shi, Jiasong Zhu and Jinliang Wang and has published in prestigious journals such as The Science of The Total Environment, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Kai Ding i

Fields of papers citing papers by Kai Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kai Ding

Since Specialization
Citations

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