Lingju Kong

128 papers and 1.4k indexed citations i.

About

Lingju Kong is a scholar working on Applied Mathematics, Numerical Analysis and Modeling and Simulation. According to data from OpenAlex, Lingju Kong has authored 128 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Applied Mathematics, 65 papers in Numerical Analysis and 26 papers in Modeling and Simulation. Recurrent topics in Lingju Kong’s work include Nonlinear Differential Equations Analysis (99 papers), Differential Equations and Numerical Methods (64 papers) and Differential Equations and Boundary Problems (57 papers). Lingju Kong is often cited by papers focused on Nonlinear Differential Equations Analysis (99 papers), Differential Equations and Numerical Methods (64 papers) and Differential Equations and Boundary Problems (57 papers). Lingju Kong collaborates with scholars based in United States, Iran and China. Lingju Kong's co-authors include John R. Graef, Qingkai Kong, Min Wang, Shapour Heidarkhani, Haiyan Wang, Bo Yang, Feliz Minhós, Binggen Zhang, James S. W. Wong and Zengji Du and has published in prestigious journals such as Sensors, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Co-authorship network of co-authors of Lingju Kong i

Fields of papers citing papers by Lingju Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lingju Kong

Since Specialization
Citations

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