Junyi Wang

1.8k citations
93 papers · 965 · h-index 19

Impact in

Papers in

Junyi Wang

77 papers receiving 953 citations

Peers

Junyi Wang
Comparison fields: 5 of 104
  • Computer Networks and Communications 600
  • Control and Systems Engineering 303
  • Statistical and Nonlinear Physics 161
  • Nuclear Energy and Engineering 2
  • Artificial Intelligence 139
Replace Mahdi Pourgholi with:
Mahdi Pourgholi Iran
Junwei Gao China
Changliang Liu China
Qingrong Liu China
Tingting Yang China
Ebrahim Soujeri Canada
Ting Yang China
Qiugang Lu United States
Olfa Boubaker Tunisia
Najib Essounbouli France
Junyi Wang relative to Mahdi Pourgholi Iran Mahdi Pourgholi's profile →
Citations per field
00.5×6.5×
Mahdi Pourgholi · 1×
Citations per year

Countries citing papers authored by Junyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201667
3 201656
4 202147
5 201647
6 201739
7 201535
8 201334
9 201633
10 201429
11 202228
12 201327
13 202026
14 202226
15 202223
16 202021
17 201421
18 201419
19 202119
20 202018

About Junyi Wang

Junyi Wang is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Biomedical Engineering, having authored 93 papers that have together received 965 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (30 papers), Distributed Control Multi-Agent Systems (17 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Stability and Control of Uncertain Systems (8 papers), Neural Networks and Applications (7 papers), Adaptive Control of Nonlinear Systems (6 papers), stochastic dynamics and bifurcation (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Computer Networks and Communications (600 citations), Control and Systems Engineering (303 citations), Statistical and Nonlinear Physics (161 citations), Nuclear Energy and Engineering (2 citations) and Artificial Intelligence (139 citations). Junyi Wang has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Huaguang Zhang, Zhanshan Wang, Hongjing Liang, Qinggang Meng, Zhenwei Liu, Qihe Shan, Jianlong Qiu, Xiangyong Chen, Wenzhong Gao and Bonan Huang. Their work appears in journals such as Neurocomputing, IEEE Transactions on Neural Networks and Learning Systems, Neural Computing and Applications, IEEE Transactions on Automation Science and Engineering 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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