Jun-an Lu
- Statistical and Nonlinear Physics top 0.1%
- stochastic dynamics and bifurcation 34
- Complex Network Analysis Techniques 31
- Opinion Dynamics and Social Influence 30
- Chaos control and synchronization 14
- Computer Networks and Communications top 0.2%
- Neural Networks Stability and Synchronization 83
- Nonlinear Dynamics and Pattern Formation 71
- Distributed Control Multi-Agent Systems 10
- Modeling and Simulation top 2%
- Cognitive Neuroscience top 10%
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- Gene Regulatory Network Analysis 18
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
In The Last Decade
Jun-an Lu
120 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Statistical and Nonlinear Physics 2.4k
- Computer Networks and Communications 3.1k
- Modeling and Simulation 111
- Control and Systems Engineering 296
- Cognitive Neuroscience 191
Countries citing papers authored by Jun-an Lu
This map shows the geographic impact of Jun-an Lu'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 Jun-an Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-an Lu more than expected).
Fields of papers citing papers by Jun-an Lu
This network shows the impact of papers produced by Jun-an Lu. 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 Jun-an Lu. The network helps show where Jun-an Lu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun-an Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 39 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 18 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 9 | |
| 10 | 2021 | 28 | |
| 11 | 2020 | 49 | |
| 12 | 2020 | 46 | |
| 13 | 2020 | 29 | |
| 14 | 2019 | 49 | |
| 15 | 2019 | 30 | |
| 16 | 2018 | 75 | |
| 17 | Master stability functions for multiplex networks | 2016 | 4 |
| 18 | 2015 | 10 | |
| 19 | New Progress on Structure Identification of Complex Dynamical Networks | 2010 | 1 |
| 20 | A Small Scientific Collaboration Complex Networks and Its Analysis | 2004 | 1 |
About Jun-an Lu
Jun-an Lu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, General Engineering, Geometry and Topology and Modeling and Simulation, having authored 125 papers that have together received 4.1k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (83 papers), Nonlinear Dynamics and Pattern Formation (71 papers), stochastic dynamics and bifurcation (34 papers), Complex Network Analysis Techniques (31 papers), Opinion Dynamics and Social Influence (30 papers), Gene Regulatory Network Analysis (18 papers), Chaos control and synchronization (14 papers) and Distributed Control Multi-Agent Systems (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.4k citations), Computer Networks and Communications (3.1k citations), Modeling and Simulation (111 citations), Control and Systems Engineering (296 citations) and Cognitive Neuroscience (191 citations). Jun-an Lu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jinhu Lü, Xiaoqun Wu, Jin Zhou, Guanrong Chen, Aimin Chen, Simin Yu, Shuaibing Zhu, Longkun Tang, David J. Hill and Hui Liu. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Automatic Control, Physica A Statistical Mechanics and its Applications and IEEE Transactions on Cybernetics.
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.