Lingju Kong

2.0k citations
144 papers · 1.6k indexed · h-index 23

Lingju Kong

129 papers receiving 1.4k citations

Peers

Lingju Kong
Comparison fields: 5 of 50
  • Numerical Analysis 797
  • Applied Mathematics 1.4k
  • Modeling and Simulation 560
  • Mathematical Physics 173
  • Computational Theory and Mathematics 299
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Donal O’Regan Ireland
Stepan Tersian Bulgaria
A. Zafer Türkiye
Gennaro Infante Italy
Gisèle Mophou Guadeloupe
И. Т. Кигурадзе Georgia
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Citations per year

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).

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.

Co-authorship network

The 25 scholars most cited alongside Lingju Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lingju Kong Line = papers co-authored together Lingju Kong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 20232
6 20183
7
Variational-hemivariational inequalities of Kirchhoff-type with small perturbations of nonhomogeneous Neumann boundary conditions
20172
8
Nontrivial periodic solutions to second-order impulsive Hamiltonian systems
20152
9 201510
10 201327
11
Existence, Nonexistence, and Uniqueness of Positive Solutions to a Three Point Fourth Order Boundary Value Problem
20113
12 201114
13 201116
14
Positive solutions to a nonlinear third order three-point boundary value problem
20101
15 201021
16 201011
17 201014
18
Existence of three solutions for a higher-order boundary-value problem
20091
19 200925
20 200615

About Lingju Kong

Lingju Kong is a scholar working on Numerical Analysis, Applied Mathematics and Modeling and Simulation, having authored 144 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (105 papers), Differential Equations and Numerical Methods (71 papers), Differential Equations and Boundary Problems (64 papers), Fractional Differential Equations Solutions (30 papers), Nonlinear Partial Differential Equations (30 papers), Advanced Mathematical Modeling in Engineering (23 papers), Spectral Theory in Mathematical Physics (17 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). The work is most often cited by research in Numerical Analysis (797 citations), Applied Mathematics (1.4k citations) and Modeling and Simulation (560 citations). Lingju Kong has collaborated with scholars based in United States, Iran and China. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Mathematical Analysis and Applications.

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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