Qiang Jia

1.4k citations
67 papers · 1.1k indexed · h-index 17
Topics
Neural Networks Stability and Synchronization (36 papers)Distributed Control Multi-Agent Systems (31 papers)Nonlinear Dynamics and Pattern Formation (28 papers)
Partner nations
ChinaHong KongAustria

In The Last Decade

Qiang Jia

58 papers receiving 1.0k citations

Peers

Qiang Jia
Comparison fields: 5 of 74
  • Computer Networks and Communications 793
  • Statistical and Nonlinear Physics 542
  • Control and Systems Engineering 162
  • Electrical and Electronic Engineering 129
  • Computer Vision and Pattern Recognition 102
Replace Xiaojun Liu with:
Xiaojun Liu China
Majid Roohi Denmark
Caibin Zeng China
Weiyi Qian China
M.‐O. Hongler Switzerland
John A. Marsh United States
Ding-jiang Huang China
Qiang Jia relative to Xiaojun Liu China Xiaojun Liu's profile →
Citations per field
00.5×3.9×
Xiaojun Liu · 1×
Citations per year

Countries citing papers authored by Qiang Jia

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Jia. A scholar is included among the top collaborators of Qiang Jia 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 Qiang Jia. Qiang Jia 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 1
3 7
4 3
5 1
6 16
7 0
8 1
9 11
10 10
11 39
12 37
13 11
14 13
15 56
16 25
17 40
18 56
19 39
20
Hyperchaos Synchronization Between two Different Hyperchaotic Systems
6

About Qiang Jia

Qiang Jia is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Acoustics and Ultrasonics, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (36 papers), Distributed Control Multi-Agent Systems (31 papers) and Nonlinear Dynamics and Pattern Formation (28 papers). The work is most often cited by research in Statistical and Nonlinear Physics (542 citations), Computer Networks and Communications (793 citations) and Control and Systems Engineering (162 citations). Qiang Jia has collaborated with scholars based in China, Hong Kong and Austria. Frequent co-authors include K.S. Tang, Mei Sun, Zeyu Han, Shuiming Cai, Lixin Tian, Zengrong Liu, Wolfgang A. Halang, Weigang Sun, Peipei Zhou and Xiaojing Li. Their work appears in journals such as Expert Systems with Applications, Information Sciences and Physics Letters A.

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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