Chao Ji

987 total citations · 1 hit paper
56 papers, 670 citations indexed

About

Chao Ji is a scholar working on Applied Mathematics, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Chao Ji has authored 56 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Applied Mathematics, 37 papers in Computational Theory and Mathematics and 34 papers in Mathematical Physics. Recurrent topics in Chao Ji's work include Nonlinear Partial Differential Equations (50 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Advanced Mathematical Physics Problems (28 papers). Chao Ji is often cited by papers focused on Nonlinear Partial Differential Equations (50 papers), Advanced Mathematical Modeling in Engineering (37 papers) and Advanced Mathematical Physics Problems (28 papers). Chao Ji collaborates with scholars based in China, Brazil and Romania. Chao Ji's co-authors include Claudianor O. Alves, Vicenţiu D. Rădulescu, Andrzej Szulkin, Fei Fang, Olı́mpio H. Miyagaki, Xianling Fan, Binlin Zhang, Pietro d’Avenia, Jingjing Liu and Xu Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Sciences.

In The Last Decade

Chao Ji

47 papers receiving 636 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Normalized solutions for a Schrödinger equation with critical growth in $${\mathbb {R}}^{N}$$

2021 74 citations Claudianor O. Alves, Chao Ji et al. profile →

Peers

Chao Ji

AM

CTM

MP

CSE

NA

Gaetano Siciliano Brazil

Wei Shuai China

Pietro d’Avenia Italy

Simone Secchi Italy

Lorenzo Pisani Italy

Antonio Azzollini Italy

Dong Ye France

Николай Тарханов Germany

Eugenio Montefusco Italy

Gaetano Siciliano Brazil

Chao Ji

646 ×1.0

AM

389 ×0.9

CTM

461 ×1.2

MP

81 ×1.2

CSE

39 ×0.7

NA

Citations per year, relative to Chao Ji Chao Ji (= 1×) peers Gaetano Siciliano

Countries citing papers authored by Chao Ji

Since Specialization

Citations

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

Fields of papers citing papers by Chao Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Ji. A scholar is included among the top collaborators of Chao Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chao Ji. Chao Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ding, Rui, Chao Ji, & Patrizia Pucci. (2025). Normalized Solutions to a Class of (2, q)-Laplacian Equations in the Strongly Sublinear Regime. Journal of Geometric Analysis. 35(3). 3 indexed citations

2.

Ji, Chao, et al.. (2025). The double phase problems on lattice graphs. Journal of Differential Equations. 438. 113380–113380. 1 indexed citations

3.

Ji, Chao, et al.. (2025). Biharmonic equations of Kirchhoff type with concave-convex nonlinearities. Journal of Mathematical Analysis and Applications. 546(2). 129213–129213.

4.

Ji, Chao, et al.. (2024). Research on Detection of Icing Cover Transmission Lines Under Different Weather Conditions Based on Wide-Field Dynamic Convolutional Network LDKA-NET. Applied Sciences. 14(24). 11486–11486. 1 indexed citations

5.

Alves, Claudianor O. & Chao Ji. (2024). Multiple Normalized Solutions to a Logarithmic Schrödinger Equation via Lusternik–Schnirelmann Category. Journal of Geometric Analysis. 34(7). 9 indexed citations

6.

d’Avenia, Pietro & Chao Ji. (2023). Semiclassical states for a magnetic nonlinear Schrödinger equation with exponential critical growth in ℝ2. Journal d Analyse Mathématique. 153(1). 63–109. 2 indexed citations

7.

Alves, Claudianor O. & Chao Ji. (2023). Multi-peak positive solutions for a logarithmic Schrödinger equation via variational methods. Israel Journal of Mathematics. 259(2). 835–885. 12 indexed citations

8.

Alves, Claudianor O. & Chao Ji. (2023). Existence and concentration of nontrivial solitary waves for a generalized Kadomtsev–Petviashvili equation in R2. Journal of Differential Equations. 368. 141–172.

9.

Ji, Chao & Vicenţiu D. Rădulescu. (2020). Multi-bump solutions for the nonlinear magnetic Schrödinger equation with exponential critical growth in $${\mathbb {R}}^{2}$$. manuscripta mathematica. 164(3-4). 509–542. 27 indexed citations

10.

Zhang, Jing & Chao Ji. (2020). Ground state solutions for quasilinear Schrodinger equations with periodic potential. Electronic Journal of Differential Equations. 2020(01-132). 82–82.

11.

Liu, Jingjing & Chao Ji. (2020). Concentration results for a magnetic Schrödinger-Poisson system with critical growth. Advances in Nonlinear Analysis. 10(1). 775–798. 20 indexed citations

12.

Li, Xu, et al.. (2020). Multiplicity of concentrating solutions for a class of magnetic Schrödinger-Poisson type equation. Advances in Nonlinear Analysis. 10(1). 131–151. 19 indexed citations

13.

Fang, Fei & Chao Ji. (2019). On a fractional Schrödinger equation with periodic potential. Computers & Mathematics with Applications. 78(5). 1517–1530. 3 indexed citations

14.

Ji, Chao. (2019). Ground state solutions of fractional Schrödinger equations with potentials and weak monotonicity condition on the nonlinear term. Discrete and Continuous Dynamical Systems - B. 24(11). 6071–6089. 1 indexed citations

15.

Ji, Chao, Fei Fang, & Binlin Zhang. (2017). Least energy sign-changing solutions for the nonlinear Schrodinger-Poisson system. SHILAP Revista de lepidopterología. 1 indexed citations

16.

Ji, Chao & Fei Fang. (2017). Standing waves for the Chern–Simons–Schrödinger equation with critical exponential growth. Journal of Mathematical Analysis and Applications. 450(1). 578–591. 20 indexed citations

17.

Ji, Chao, et al.. (2016). Multiple solutions for biharmonic elliptic problems with the second Hessian. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Fang, Fei & Chao Ji. (2014). On quasilinear parabolic equations in the Orlicz spaces. Nonlinear Analysis Real World Applications. 22. 307–318. 1 indexed citations

19.

Ji, Chao. (2011). Infinitely many radial solutions for thep(x)-Kirchhoff-type equation with oscillatory nonlinearities inRN. Journal of Mathematical Analysis and Applications. 388(2). 727–738. 5 indexed citations

20.

Fan, Xianling & Chao Ji. (2007). Existence of infinitely many solutions for a Neumann problem involving the p(x)-Laplacian. Journal of Mathematical Analysis and Applications. 334(1). 248–260. 38 indexed citations

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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