Guo‐Ping Jiang

8.8k citations
373 papers · 6.8k · h-index 43

Impact in

Papers in

Guo‐Ping Jiang

333 papers receiving 6.7k citations

Peers

Guo‐Ping Jiang
Comparison fields: 5 of 185
  • Statistical and Nonlinear Physics 1.8k
  • Computer Networks and Communications 2.0k
  • Modeling and Simulation 277
  • Hepatology 297
  • Oncology 855
Replace Lifeng Wang with:
Lifeng Wang China
Xiaofan Wang China
Wei Lin China
Lu Liu China
Yun Zou China
Jing Qiu China
Giuseppe De Nicolao Italy
Fang‐Xiang Wu Canada
Bor‐Sen Chen Taiwan
Quan Zou China
Guo‐Ping Jiang relative to Lifeng Wang China Lifeng Wang's profile →
Citations per field
00.5×10×15×21.3×
Lifeng Wang · 1×
Citations per year

Countries citing papers authored by Guo‐Ping Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Ping Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 373 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007491
2 2015192
3 2012162
4 2006153
5 2011151
6 2003130
7 2003122
8 2008122
9 2015116
10 2009107
11 2009105
12 2008103
13 201898
14 200893
15 201392
16 200391
17 201788
18 200886
19 201285
20 201885

About Guo‐Ping Jiang

Guo‐Ping Jiang is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 373 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (91 papers), Distributed Control Multi-Agent Systems (64 papers), Complex Network Analysis Techniques (55 papers), Nonlinear Dynamics and Pattern Formation (51 papers), Opinion Dynamics and Social Influence (48 papers), Chaos control and synchronization (46 papers), Adaptive Control of Nonlinear Systems (31 papers) and Chaos-based Image/Signal Encryption (27 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Computer Networks and Communications (2.0k citations), Modeling and Simulation (277 citations), Hepatology (297 citations) and Oncology (855 citations). Guo‐Ping Jiang has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include K.S. Tang, Guanrong Chen, Hua Yang, Wei Xing Zheng, Min Xiao, Yurong Song, Haiyang Xie, Jinde Cao, Shusen Zheng and Jinjun Li. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, International Journal of Robust and Nonlinear Control, IEEE Transactions on Circuits & Systems II Express Briefs, International Journal of Bifurcation and Chaos and Journal of the Franklin Institute.

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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