Wenlian Lu
- Computer Networks and Communications top 10%
- Cognitive Neuroscience
- Statistical and Nonlinear Physics top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Tianping ChenБо ЛюJianfeng FengJie ZhangQiang XuXiangnan HeQing JiaoZhengge Wang
- Topics
- Neural dynamics and brain function (7 papers)stochastic dynamics and bifurcation (3 papers)Neural Networks Stability and Synchronization (2 papers)
- Cited by
- Computer Networks and CommunicationsModeling and SimulationStatistical and Nonlinear Physics
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsPLoS Computational Biology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wenlian Lu
14 papers receiving 268 citations
Peers
Comparison fields: 5 of 62
- Computer Networks and Communications 111
- Cognitive Neuroscience 67
- Statistical and Nonlinear Physics 51
- Artificial Intelligence 45
- Cellular and Molecular Neuroscience 44
Countries citing papers authored by Wenlian Lu
This map shows the geographic impact of Wenlian 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 Wenlian Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenlian Lu more than expected).
Fields of papers citing papers by Wenlian Lu
This network shows the impact of papers produced by Wenlian 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 Wenlian Lu. The network helps show where Wenlian Lu may publish in the future.
Co-authorship network of co-authors of Wenlian Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Wenlian Lu. A scholar is included among the top collaborators of Wenlian Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenlian Lu. Wenlian Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 11 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | On Fenchel Mini-Max Learning | 1 |
| 9 | Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization. | 1 |
| 10 | 21 | |
| 11 | 16 | |
| 12 | 24 | |
| 13 | 52 | |
| 14 | 85 | |
| 15 | 50 |
About Wenlian Lu
Wenlian Lu is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 269 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), stochastic dynamics and bifurcation (3 papers) and Neural Networks Stability and Synchronization (2 papers). The work is most often cited by research in Computer Networks and Communications (111 citations), Modeling and Simulation (21 citations) and Statistical and Nonlinear Physics (51 citations). Wenlian Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianping Chen, Бо Лю, Jianfeng Feng, Jie Zhang, Qiang Xu, Xiangnan He, Qing Jiao, Zhengge Wang, Guang‐Hui Chen and Guangming Lu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS Computational Biology.
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.