Qicheng Lao

About

Qicheng Lao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Qicheng Lao has authored 24 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Qicheng Lao’s work include Multimodal Machine Learning Applications (5 papers), AI in cancer detection (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Qicheng Lao is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), AI in cancer detection (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Qicheng Lao collaborates with scholars based in China, Canada and United States. Qicheng Lao's co-authors include Mohammad Havaei, Kang Li, Zekun Jiang, Shaoting Zhang, Thomas Fevens, Yue Qiu, Francis Dutil, Yoshua Bengio, Lisa Di Jorio and Yue Qiu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Biomechanics and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of Qicheng Lao i

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Fields of papers citing papers by Qicheng Lao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qicheng Lao

Since Specialization

Citations

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