Kangning Wang

47 papers and 259 indexed citations i.

About

Kangning Wang is a scholar working on Statistics and Probability, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Kangning Wang has authored 47 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Statistics and Probability, 14 papers in Artificial Intelligence and 8 papers in Computational Mechanics. Recurrent topics in Kangning Wang’s work include Statistical Methods and Inference (31 papers), Advanced Statistical Methods and Models (21 papers) and Sparse and Compressive Sensing Techniques (7 papers). Kangning Wang is often cited by papers focused on Statistical Methods and Inference (31 papers), Advanced Statistical Methods and Models (21 papers) and Sparse and Compressive Sensing Techniques (7 papers). Kangning Wang collaborates with scholars based in China, Saudi Arabia and Türkiye. Kangning Wang's co-authors include Lu Lin, Shaomin Li, Hongwei Wang, Fayadh Alenezi, Xiaofei Sun, Lu Lin, Kemal Polat, Danping Cao, Xiangyu Sun and Hongwei Wang and has published in prestigious journals such as The FASEB Journal, Expert Systems with Applications and Geophysics.

In The Last Decade

Co-authorship network of co-authors of Kangning Wang i

Fields of papers citing papers by Kangning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kangning Wang

Since Specialization
Citations

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