Jurang Yan

2.2k citations
119 papers · 1.8k indexed · h-index 24
Topics
Nonlinear Differential Equations Analysis (102 papers)Differential Equations and Numerical Methods (70 papers)Mathematical and Theoretical Epidemiology and Ecology Models (43 papers)
Journals
SHILAP Revista de lepidopterologíaFuzzy Sets and SystemsNeurocomputing
Partner nations
ChinaSpainUnited States

In The Last Decade

Jurang Yan

115 papers receiving 1.7k citations

Peers

Jurang Yan
Comparison fields: 5 of 49
  • Applied Mathematics 1.4k
  • Numerical Analysis 866
  • Public Health, Environmental and Occupational Health 660
  • Modeling and Simulation 436
  • Control and Systems Engineering 402
Replace Leonid Berezansky with:
Leonid Berezansky Israel
Sui Sun Cheng Taiwan
Youssef N‎. ‎Raffoul‎ United States
Manuel Pinto Chile
N. A. Perestyuk Ukraine
Zhimin He China
Josef Diblı́k Czechia
Chuanzhi Bai China
А. М. Самойленко Ukraine
Jitsuro Sugié Japan
Jurang Yan relative to Leonid Berezansky Israel Leonid Berezansky's profile →
Citations per field
00.5×1.7×
Leonid Berezansky · 1×
Citations per year

Countries citing papers authored by Jurang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jurang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jurang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jurang Yan. A scholar is included among the top collaborators of Jurang 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 Jurang Yan. Jurang 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 5
2 2
3 8
4 5
5 4
6 56
7 16
8 7
9 5
10 7
11 3
12 3
13 9
14 7
15 16
16
Comparison results for impulsive delay differential inequalities and equations.
1
17 8
18 33
19 3
20 11

About Jurang Yan

Jurang Yan is a scholar working on Numerical Analysis, Applied Mathematics and Modeling and Simulation, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (102 papers), Differential Equations and Numerical Methods (70 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (43 papers). The work is most often cited by research in Numerical Analysis (866 citations), Applied Mathematics (1.4k citations) and Modeling and Simulation (436 citations). Jurang Yan has collaborated with scholars based in China, Spain and United States. Frequent co-authors include Aimin Zhao, Guirong Liu, Aimin Zhao, Juan J. Nieto, Quanxin Zhang, Jianhua Shen, Jianhua Shen, Fengqin Zhang, Xiao Hu and Chen Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Fuzzy Sets and Systems and Neurocomputing.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026