Haijun Wang

408 citations
35 papers · 379 · h-index 13

Impact in

Papers in

Haijun Wang

34 papers receiving 358 citations

Peers

Haijun Wang
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 189
  • Numerical Analysis 44
  • Geometry and Topology 64
  • Computational Mathematics 3
  • Computer Networks and Communications 110
Replace Yeong‐Jeu Sun with:
Yeong‐Jeu Sun Taiwan
Vera B. Smirnova Russia
Fernando Verduzco Mexico
Vitalii Ivanovich Slyn'ko Ukraine
Jeffrey J. DaCunha United States
Zuxing Xuan China
Amol J. Sasane United Kingdom
Volker Reitmann Russia
Nutan Kumar Tomar India
Haijun Wang relative to Yeong‐Jeu Sun Taiwan Yeong‐Jeu Sun's profile →
Citations per field
00.5×5×10×13×
Yeong‐Jeu Sun · 1×
Citations per year

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Haijun Wang, 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 Haijun Wang Line = papers co-authored together Haijun Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 201127
3 201726
4 202325
5 202224
6 202324
7 202321
8 201520
9 201719
10 201419
11 202517
12 202417
13 201214
14 201612
15 20158
16 20098
17 20147
18 20207
19 20154
20 20074

About Haijun Wang

Haijun Wang is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Geometry and Topology, Modeling and Simulation and Computational Theory and Mathematics, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (18 papers), Chaos control and synchronization (18 papers), Advanced Optimization Algorithms Research (12 papers), Iterative Methods for Nonlinear Equations (9 papers), Advanced Differential Equations and Dynamical Systems (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers), Fractional Differential Equations Solutions (5 papers) and Numerical Methods and Algorithms (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (189 citations), Numerical Analysis (44 citations), Geometry and Topology (64 citations), Computational Mathematics (3 citations) and Computer Networks and Communications (110 citations). Haijun Wang has collaborated with scholars based in China and Japan. Frequent co-authors include Xianyi Li, Jun Pan, Hao Liu, Guang Chen, Qin Ni, Yi Yao, Mei‐Rong Alice Chen, Feng Rao, Minping Jia and Bin Wu. Their work appears in journals such as International Journal of Bifurcation and Chaos, Applied Mathematics and Computation, Applied Numerical Mathematics, The European Physical Journal B and The European Physical Journal Special Topics.

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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