Lilian Huang
- Statistical and Nonlinear Physics top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Co-authors
- Chanil PakMao WangFeng Ru-pengJianhong XiangYan YangZefeng ZhangNa HeDianguo Xu
- Topics
- Chaos control and synchronization (40 papers)Quantum chaos and dynamical systems (24 papers)Nonlinear Dynamics and Pattern Formation (17 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Lilian Huang
68 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Statistical and Nonlinear Physics 912
- Computer Vision and Pattern Recognition 815
- Computer Networks and Communications 510
- Electrical and Electronic Engineering 287
- Artificial Intelligence 280
Countries citing papers authored by Lilian Huang
This map shows the geographic impact of Lilian Huang'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 Lilian Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lilian Huang more than expected).
Fields of papers citing papers by Lilian Huang
This network shows the impact of papers produced by Lilian Huang. 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 Lilian Huang. The network helps show where Lilian Huang may publish in the future.
Co-authorship network of co-authors of Lilian Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Lilian Huang. A scholar is included among the top collaborators of Lilian Huang 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 Lilian Huang. Lilian Huang 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 | 25 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 21 | |
| 9 | 30 | |
| 10 | 12 | |
| 11 | 50 | |
| 12 | 12 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 39 | |
| 16 | 13 | |
| 17 | 18 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 13 |
About Lilian Huang
Lilian Huang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 1.9k indexed citations. Recurring topics across this work include Chaos control and synchronization (40 papers), Quantum chaos and dynamical systems (24 papers) and Nonlinear Dynamics and Pattern Formation (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (912 citations), Computer Vision and Pattern Recognition (815 citations) and Computer Networks and Communications (510 citations). Lilian Huang has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Chanil Pak, Mao Wang, Feng Ru-peng, Jianhong Xiang, Yan Yang, Zefeng Zhang, Na He, Dianguo Xu, Qiang Guo and Н. В. Кузнецов. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Industrial Electronics and Electrochimica Acta.
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.