Yan Kang

About

Yan Kang is a scholar working on Artificial Intelligence, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Yan Kang has authored 22 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Materials Chemistry and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Yan Kang’s work include Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Yan Kang is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), Stochastic Gradient Optimization Techniques (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Yan Kang collaborates with scholars based in China, Hong Kong and United States. Yan Kang's co-authors include Qiang Yang, Jiahuan Luo, Liping Li, Rong Pan, Yong Cheng, Yang Liu, Tianjian Chen, Lixin Fan, Mingyi Hong and Yuhu Li and has published in prestigious journals such as Nature Communications, Crystal Growth & Design and Ceramics International.

In The Last Decade

Co-authorship network of co-authors of Yan Kang i

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Fields of papers citing papers by Yan Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yan Kang

Since Specialization

Citations

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