Shikun Feng

29 papers and 834 indexed citations i.

About

Shikun Feng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Immunology. According to data from OpenAlex, Shikun Feng has authored 29 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Immunology. Recurrent topics in Shikun Feng’s work include Topic Modeling (8 papers), Multimodal Machine Learning Applications (7 papers) and Aquaculture disease management and microbiota (6 papers). Shikun Feng is often cited by papers focused on Topic Modeling (8 papers), Multimodal Machine Learning Applications (7 papers) and Aquaculture disease management and microbiota (6 papers). Shikun Feng collaborates with scholars based in China. Shikun Feng's co-authors include Yu Sun, Haifeng Wang, Shuohuan Wang, Yukun Li, Hao Tian, Hua Wu, Zhengjie Huang, Yunsheng Shi, Wenjing Wang and Hui Zhong and has published in prestigious journals such as Journal of Hazardous Materials, International Journal of Biological Macromolecules and Journal of the Science of Food and Agriculture.

In The Last Decade

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

Fields of papers citing papers by Shikun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shikun Feng

Since Specialization
Citations

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