Daochang Liu

10 papers and 216 indexed citations i.

About

Daochang Liu is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Daochang Liu has authored 10 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 3 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Daochang Liu’s work include Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Vision and Imaging (2 papers). Daochang Liu is often cited by papers focused on Human Pose and Action Recognition (3 papers), Anomaly Detection Techniques and Applications (2 papers) and Advanced Vision and Imaging (2 papers). Daochang Liu collaborates with scholars based in Australia, China and United States. Daochang Liu's co-authors include Yizhou Wang, Tingting Jiang, Fei Shan, Ziyu Li, Rulin Miao, Chang Xu, Mubarak Shah, Tingting Jiang, Qiyue Li and Dingquan Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Assisted Radiology and Surgery and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Daochang Liu i

Fields of papers citing papers by Daochang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daochang Liu

Since Specialization
Citations

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