Chao Qi

60 papers and 657 indexed citations i.

About

Chao Qi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Environmental Engineering. According to data from OpenAlex, Chao Qi has authored 60 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 10 papers in Environmental Engineering. Recurrent topics in Chao Qi’s work include Remote Sensing and LiDAR Applications (9 papers), AI-based Problem Solving and Planning (9 papers) and 3D Surveying and Cultural Heritage (6 papers). Chao Qi is often cited by papers focused on Remote Sensing and LiDAR Applications (9 papers), AI-based Problem Solving and Planning (9 papers) and 3D Surveying and Cultural Heritage (6 papers). Chao Qi collaborates with scholars based in China, United Kingdom and Australia. Chao Qi's co-authors include Hongwei Wang, Dian Liu, Fanlin Yang, Dianpeng Su, Dan Wang, Yongchang Wei, Hongwei Wang, Hongwei Wang, Yue Ma and Timothy M. Rose and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Chao Qi i

Fields of papers citing papers by Chao Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao Qi

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025