Shikun Li

About

Shikun Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Shikun Li has authored 21 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Materials Chemistry. Recurrent topics in Shikun Li’s work include Anomaly Detection Techniques and Applications (4 papers), Heat Transfer and Optimization (3 papers) and Machine Learning and Data Classification (3 papers). Shikun Li is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Heat Transfer and Optimization (3 papers) and Machine Learning and Data Classification (3 papers). Shikun Li collaborates with scholars based in China, Australia and United States. Shikun Li's co-authors include Shiming Ge, Tongliang Liu, Xiaobo Xia, Dan Zeng, Chunhui Zhang, Kangkai Zhang, Xiulan Huai, Dacheng Tao, Ruilian Qi and Jiling Yue and has published in prestigious journals such as Angewandte Chemie International Edition, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Shikun Li i

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Fields of papers citing papers by Shikun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shikun Li

Since Specialization

Citations

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