Mingxin Wang

616 citations
42 papers · 469 indexed · h-index 13
Topics
Adaptive Control of Nonlinear Systems (13 papers)Advanced Mathematical Modeling in Engineering (13 papers)Neural Networks Stability and Synchronization (12 papers)
Partner nations
ChinaAustraliaBangladesh

In The Last Decade

Mingxin Wang

36 papers receiving 445 citations

Peers

Mingxin Wang
Comparison fields: 5 of 45
  • Control and Systems Engineering 225
  • Computer Networks and Communications 203
  • Applied Mathematics 145
  • Computational Theory and Mathematics 142
  • Public Health, Environmental and Occupational Health 99
Replace В. С. Мельник with:
В. С. Мельник Ukraine
Nguyen Khoa Son Vietnam
Dingshi Li China
Jie Xin China
Fengxin Chen China
Tibor Krisztin Hungary
Farouk Chérif Tunisia
В. И. Слынько Ukraine
Fanwei Meng China
El Hassan Zerrik Morocco
Mingxin Wang relative to В. С. Мельник Ukraine В. С. Мельник's profile →
Citations per field
00.5×5.1×
В. С. Мельник · 1×
Citations per year

Countries citing papers authored by Mingxin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxin Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingxin Wang. A scholar is included among the top collaborators of Mingxin 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 Mingxin Wang. Mingxin 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 1
2 1
3 1
4 1
5 19
6 0
7 10
8 6
9 8
10 15
11 0
12 39
13 1
14 64
15 22
16 12
17 18
18 2
19 19
20
Parabolic systems with nonlinear boundary conditions
5

About Mingxin Wang

Mingxin Wang is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Applied Mathematics, having authored 42 papers that have together received 469 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (13 papers), Advanced Mathematical Modeling in Engineering (13 papers) and Neural Networks Stability and Synchronization (12 papers). The work is most often cited by research in Applied Mathematics (145 citations), Control and Systems Engineering (225 citations) and Computational Theory and Mathematics (142 citations). Mingxin Wang has collaborated with scholars based in China, Australia and Bangladesh. Frequent co-authors include Rui Peng, Shan‐Liang Zhu, Wenjun Liu, Yu‐Qun Han, Gang Sun, Bo Li, Dan Wang, Yang Du, Chunhong Xie and Shu Wang. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Cybernetics.

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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