Lin Du

1.5k citations
148 papers · 1.1k · h-index 19

Impact in

Papers in

Lin Du

129 papers receiving 1.0k citations

Peers

Lin Du
Comparison fields: 5 of 142
  • Statistical and Nonlinear Physics 262
  • Cognitive Neuroscience 144
  • Modeling and Simulation 31
  • Statistics, Probability and Uncertainty 47
  • Computer Networks and Communications 149
Replace D. Subbaram Naidu with:
D. Subbaram Naidu United States
Kurt Barbé Belgium
Mohsen Hayati Iran
Pi‐Cheng Tung Taiwan
Yuqian Guo China
V.А. Кrysko Russia
S. Thompson United States
Koen Engelborghs Belgium
Michael Malisoff United States
Lin Du relative to D. Subbaram Naidu United States D. Subbaram Naidu's profile →
Citations per field
00.5×10×14.6×
D. Subbaram Naidu · 1×
Citations per year

Countries citing papers authored by Lin Du

Since Specialization
Citations

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

Fields of papers citing papers by Lin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201253
2 201651
3 201344
4 202329
5 201729
6 202428
7 202128
8 200328
9 201526
10 202224
11 202123
12 202320
13 202320
14 200919
15 201819
16 201819
17 202318
18 201318
19 202218
20 202118

About Lin Du

Lin Du is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Computer Networks and Communications and Biomedical Engineering, having authored 148 papers that have together received 1.1k indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (22 papers), Neural dynamics and brain function (20 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Neuroscience and Neural Engineering (11 papers), Photoreceptor and optogenetics research (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Chaos control and synchronization (8 papers) and Probabilistic and Robust Engineering Design (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (262 citations), Cognitive Neuroscience (144 citations), Modeling and Simulation (31 citations), Statistics, Probability and Uncertainty (47 citations) and Computer Networks and Communications (149 citations). Lin Du has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zichen Deng, He Huang, Youming Lei, J. Zhao, J. R. Luo, Honghui Zhang, Ming Liu, Yong Xu, Hui Yang and Fan Zhang. Their work appears in journals such as Nonlinear Dynamics, Chaos Solitons & Fractals, Communications in Nonlinear Science and Numerical Simulation, Chaos An Interdisciplinary Journal of Nonlinear Science and Neural Networks.

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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