Qingdu Li

2.1k citations
118 papers · 1.7k · h-index 23

Impact in

Papers in

Qingdu Li

104 papers receiving 1.6k citations

Peers

Qingdu Li
Comparison fields: 5 of 80
  • Statistical and Nonlinear Physics 1.1k
  • Computer Networks and Communications 707
  • Mathematical Physics 211
  • Cognitive Neuroscience 227
  • Computer Vision and Pattern Recognition 223
Replace Fahimeh Nazarimehr with:
Fahimeh Nazarimehr Iran
Song Zheng China
A. Pogromsky Netherlands
Qinsheng Bi China
Hilaire Bertrand Fotsin Cameroon
I. Μ. Kyprianidis Greece
Keiji Konishi Japan
Ling Hong China
Boris Andrievsky Russia
Andrzej Stefański Poland
Qingdu Li relative to Fahimeh Nazarimehr Iran Fahimeh Nazarimehr's profile →
Citations per field
00.5×4.9×
Fahimeh Nazarimehr · 1×
Citations per year

Countries citing papers authored by Qingdu Li

Since Specialization
Citations

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

Fields of papers citing papers by Qingdu Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014163
2 2014109
3 2013101
4 201484
5 201378
6 201058
7 200556
8 200553
9 201551
10 201649
11 201249
12 201145
13 201733
14 200732
15 200831
16 200630
17 201129
18 201327
19 200725
20 201425

About Qingdu Li

Qingdu Li is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering, having authored 118 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chaos control and synchronization (43 papers), Nonlinear Dynamics and Pattern Formation (24 papers), Neural Networks Stability and Synchronization (21 papers), Distributed Control Multi-Agent Systems (17 papers), Quantum chaos and dynamical systems (16 papers), Mathematical Dynamics and Fractals (15 papers), Neural Networks and Applications (15 papers) and Robotic Locomotion and Control (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Computer Networks and Communications (707 citations), Mathematical Physics (211 citations), Cognitive Neuroscience (227 citations) and Computer Vision and Pattern Recognition (223 citations). Qingdu Li has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xiao‐Song Yang, Hongzheng Zeng, Song Tang, Timothy J. Healey, Shidong Zhai, Tingting Zhou, Song-Mei Huan, Xiaosong Yang, Lijuan Chen and Shu Chen. Their work appears in journals such as International Journal of Bifurcation and Chaos, IEEE Access, Nonlinear Dynamics, Chaos Solitons & Fractals and International Journal of Circuit Theory and Applications.

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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