Baoqiang Yan

653 citations
68 papers · 523 indexed · h-index 11
Topics
Nonlinear Differential Equations Analysis (51 papers)Differential Equations and Numerical Methods (36 papers)Differential Equations and Boundary Problems (29 papers)

In The Last Decade

Baoqiang Yan

61 papers receiving 470 citations

Peers

Baoqiang Yan
Comparison fields: 5 of 23
  • Applied Mathematics 488
  • Numerical Analysis 261
  • Control and Systems Engineering 150
  • Modeling and Simulation 134
  • Computational Theory and Mathematics 111
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Countries citing papers authored by Baoqiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Baoqiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baoqiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Baoqiang Yan. A scholar is included among the top collaborators of Baoqiang Yan 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 Baoqiang Yan. Baoqiang Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 5
4
Existence of solutions for Kirchhoff-type problems via the method of lower and upper solutions
4
5 12
6 6
7 4
8
Existence, uniqueness and multiplicity of positive solutions for some nonlocal singular elliptic problems
3
9
Global structure of solutions to boundary-value problems of impulsive differential equations
1
10 1
11 3
12
Positive solutions for singular three-point boundary-value problems.
5
13
Positive solutions for singular m-point boundary value problems with sign changing nonlinearities depending on x
1
14
Multiple positive solutions for a class of nonresonant singular boundary-value problems
1
15
Multiple positive solutions for singular boundary-value problems with derivative dependence on finite and infinite intervals
4
16 2
17 24
18 50
19 21
20 94

About Baoqiang Yan

Baoqiang Yan is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 68 papers that have together received 523 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (51 papers), Differential Equations and Numerical Methods (36 papers) and Differential Equations and Boundary Problems (29 papers). The work is most often cited by research in Numerical Analysis (261 citations), Applied Mathematics (488 citations) and Modeling and Simulation (134 citations). Baoqiang Yan has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Donal O’Regan, Ravi P. Agarwal, Yansheng Liu, Feng‐Fei Jin, Xiyu Liu, Ravi P. Agarwal, Donal O’Regan, Chao An, Xilin Fu and Song‐Yue Yu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

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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