Haijun Jiang

476 citations
33 papers · 347 · h-index 11

Impact in

Papers in

Haijun Jiang

23 papers receiving 341 citations

Peers

Haijun Jiang
Comparison fields: 5 of 43
  • Statistical and Nonlinear Physics 208
  • Computer Networks and Communications 278
  • Artificial Intelligence 112
  • Modeling and Simulation 14
  • Computational Theory and Mathematics 22
Replace Fanghai Zhang with:
Fanghai Zhang China
Weiqiang Gong China
Xiao Peng China
Zengyun Wang China
X.X. Liao China
C. Posadas–Castillo Mexico
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Chengrong Xie China
Renyu Ye China
Haijun Jiang relative to Fanghai Zhang China Fanghai Zhang's profile →
Citations per field
00.5×3.3×
Fanghai Zhang · 1×
Citations per year

Countries citing papers authored by Haijun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200765
2 201140
3 202234
4 200827
5 200725
6 202223
7 201719
8 202316
9 201014
10 202212
11 202312
12 202310
13 20209
14 20239
15 20225
16 20215
17 20205
18 20194
19 20164
20 20144

About Haijun Jiang

Haijun Jiang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 33 papers that have together received 347 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (21 papers), Distributed Control Multi-Agent Systems (11 papers), Neural Networks and Applications (10 papers), Nonlinear Dynamics and Pattern Formation (6 papers), stochastic dynamics and bifurcation (6 papers), Chaos control and synchronization (6 papers), Advanced Memory and Neural Computing (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (208 citations), Computer Networks and Communications (278 citations), Artificial Intelligence (112 citations), Modeling and Simulation (14 citations) and Computational Theory and Mathematics (22 citations). Haijun Jiang has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Zhidong Teng, Cheng Hu, Hongli Li, Zhidong Teng, Long Zhang, Haibo Gu, Yonggui Kao, Abdujelil Abdurahman, Cheng Hu and Ahmadjan Muhammadhaji. Their work appears in journals such as Neural Networks, ISA Transactions, Journal of the Franklin Institute, Neural Processing Letters and Communications in Nonlinear Science and Numerical Simulation.

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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