Kezhi Li

101 papers and 1.9k indexed citations i.

About

Kezhi Li is a scholar working on Computational Mechanics, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kezhi Li has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computational Mechanics, 22 papers in Artificial Intelligence and 21 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kezhi Li’s work include Diabetes Management and Research (20 papers), Sparse and Compressive Sensing Techniques (20 papers) and Quantum Information and Cryptography (15 papers). Kezhi Li is often cited by papers focused on Diabetes Management and Research (20 papers), Sparse and Compressive Sensing Techniques (20 papers) and Quantum Information and Cryptography (15 papers). Kezhi Li collaborates with scholars based in United Kingdom, China and Canada. Kezhi Li's co-authors include Pantelis Georgiou, Pau Herrero, Taiyu Zhu, Marı́a Llompart, Merv Fingas, Chengyuan Liu, Shuang Cong, John Daniels, Zhendi Wang and Wenxing Kuang and has published in prestigious journals such as Blood, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

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

Fields of papers citing papers by Kezhi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kezhi Li

Since Specialization
Citations

This map shows the geographic impact of Kezhi 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 Kezhi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kezhi 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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2025