Haijun Li

90 papers and 1.4k indexed citations i.

About

Haijun Li is a scholar working on Statistics and Probability, Nuclear and High Energy Physics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Haijun Li has authored 90 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 16 papers in Nuclear and High Energy Physics and 13 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Haijun Li’s work include Dark Matter and Cosmic Phenomena (14 papers), Statistical Distribution Estimation and Applications (13 papers) and Reliability and Maintenance Optimization (11 papers). Haijun Li is often cited by papers focused on Dark Matter and Cosmic Phenomena (14 papers), Statistical Distribution Estimation and Applications (13 papers) and Reliability and Maintenance Optimization (11 papers). Haijun Li collaborates with scholars based in China, United States and Canada. Haijun Li's co-authors include Harry Joe, Aristidis K. Nikoloulopoulos, Xiaohu Li, Jun Cai, Susan H. Xu, Lirong Cui, Moshe Shaked, Yan Shang, Sufen Li and Xiao-Jun Bi and has published in prestigious journals such as Applied Physics Letters, Physics Letters B and Journal of Agricultural and Food Chemistry.

In The Last Decade

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

Fields of papers citing papers by Haijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Haijun Li

Since Specialization
Citations

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