Xiaohu Wang

2.1k citations
95 papers · 1.6k · h-index 24

Impact in

Papers in

Xiaohu Wang

89 papers receiving 1.5k citations

Peers

Xiaohu Wang
Comparison fields: 5 of 92
  • Computational Theory and Mathematics 621
  • Control and Systems Engineering 765
  • Computer Networks and Communications 455
  • Finance 197
  • Applied Mathematics 198
Replace Daniel J. Bates with:
Daniel J. Bates United States
Matthew M. Peet United States
Víctor M. Alvarado Mexico
Sergey Edward Lyshevski United States
Dong Ye China
Michael Schneider Austria
Ran Yang China
Ileana Streinu United States
Cong Xu China
Xiaohu Wang relative to Daniel J. Bates United States Daniel J. Bates's profile →
Citations per field
00.5×10×20×30×40×49.3×
Daniel J. Bates · 1×
Citations per year

Countries citing papers authored by Xiaohu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohu 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 Xiaohu Wang Line = papers co-authored together Xiaohu Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201793
2 201584
3 202177
4 201574
5 201667
6 200965
7 201664
8 202163
9 201761
10 202259
11 200856
12 202055
13 202153
14 201751
15 201749
16 201244
17 202141
18 202136
19 201936
20 202134

About Xiaohu Wang

Xiaohu Wang is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Electrical and Electronic Engineering, Computer Networks and Communications and Biomedical Engineering, having authored 95 papers that have together received 1.6k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (29 papers), Advanced Mathematical Modeling in Engineering (26 papers), Neural Networks Stability and Synchronization (13 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Advancements in Battery Materials (9 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Nonlinear Differential Equations Analysis (8 papers) and Stochastic processes and financial applications (7 papers). The work is most often cited by research in Computational Theory and Mathematics (621 citations), Control and Systems Engineering (765 citations), Computer Networks and Communications (455 citations), Finance (197 citations) and Applied Mathematics (198 citations). Xiaohu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bixiang Wang, Dingshi Li, Kening Lu, Daoyi Xu, Xiaoyu Liu, Helei Dong, Lingxia Li, Yali Zhu, Jianxiong Zhu and Shujun Long. Their work appears in journals such as Discrete and Continuous Dynamical Systems - B, Journal of Differential Equations, Stochastics and Dynamics, Journal of Inequalities and Applications and Polymers.

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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