Haiyong Wang

946 citations
30 papers · 660 indexed · h-index 14
Topics
Mathematical functions and polynomials (19 papers)Iterative Methods for Nonlinear Equations (12 papers)Fractional Differential Equations Solutions (10 papers)
Partner nations
ChinaBelgiumHong Kong

In The Last Decade

Haiyong Wang

28 papers receiving 626 citations

Peers

Haiyong Wang
Comparison fields: 5 of 64
  • Applied Mathematics 460
  • Modeling and Simulation 333
  • Numerical Analysis 264
  • Atomic and Molecular Physics, and Optics 214
  • Mechanics of Materials 99
Replace Donatella Occorsio with:
Donatella Occorsio Italy
Fu‐Rong Lin China
Maŕıa López-Fernández Spain
Marina Popolizio Italy
Pouria Assari Iran
Eduardo L. Ortiz United Kingdom
Nasser Aghazadeh Iran
Pedro M. Lima Portugal
Francesco Aldo Costabile Italy
Ram K. Saxena India
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Citations per field
00.5×2.6×
Donatella Occorsio · 1×
Citations per year

Countries citing papers authored by Haiyong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haiyong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyong Wang. A scholar is included among the top collaborators of Haiyong Wang 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 Haiyong Wang. Haiyong Wang 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 0
2 2
3 3
4 4
5 14
6 15
7 19
8 2
9 36
10 6
11 27
12
Rich dynamical behaviors of a predator-prey system with state feedback control and a general functional responses
2
13 97
14 102
15 65
16 43
17 39
18 58
19 8
20
A new method for calculating plunger stroke loss of deep well pump
1

About Haiyong Wang

Haiyong Wang is a scholar working on Numerical Analysis, Modeling and Simulation and Applied Mathematics, having authored 30 papers that have together received 660 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (19 papers), Iterative Methods for Nonlinear Equations (12 papers) and Fractional Differential Equations Solutions (10 papers). The work is most often cited by research in Modeling and Simulation (333 citations), Numerical Analysis (264 citations) and Applied Mathematics (460 citations). Haiyong Wang has collaborated with scholars based in China, Belgium and Hong Kong. Frequent co-authors include Shuhuang Xiang, Daan Huybrechs, Hermann Brunner, Xiaojun Chen, Lun Zhang, Stefan Vandewalle, Andreas Asheim, Alfredo Deaño, Xinghua Zhang and Qi Zhang. Their work appears in journals such as Energy, Mathematics of Computation and SIAM Journal on Numerical Analysis.

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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