Chi Huang
- Computer Networks and Communications top 1%
- Control and Systems Engineering top 2%
- Molecular Biology
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering
- Co-authors
- Jianquan LuJinde CaoDaniel W. C. HoJürgen KurthsNariman MahdaviYu‐Chee TsengJie ZhongGuisheng Zhai
- Topics
- Neural Networks Stability and Synchronization (29 papers)Distributed Control Multi-Agent Systems (19 papers)Gene Regulatory Network Analysis (18 papers)
In The Last Decade
Chi Huang
48 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computer Networks and Communications 1.1k
- Control and Systems Engineering 412
- Molecular Biology 390
- Statistical and Nonlinear Physics 356
- Electrical and Electronic Engineering 200
Countries citing papers authored by Chi Huang
This map shows the geographic impact of Chi 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 Chi Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Huang more than expected).
Fields of papers citing papers by Chi Huang
This network shows the impact of papers produced by Chi 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 Chi Huang. The network helps show where Chi Huang may publish in the future.
Co-authorship network of co-authors of Chi Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chi Huang. A scholar is included among the top collaborators of Chi 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 Chi Huang. Chi 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 | 1 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 72 | |
| 8 | 54 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 48 | |
| 12 | 16 | |
| 13 | 39 | |
| 14 | 3 | |
| 15 | 34 | |
| 16 | 203 | |
| 17 | 110 | |
| 18 | Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategybreakdown → | 360 |
| 19 | Two-targets tracking problem in sensor network with partial information transmission | 0 |
| 20 | 112 |
About Chi Huang
Chi Huang is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (29 papers), Distributed Control Multi-Agent Systems (19 papers) and Gene Regulatory Network Analysis (18 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Statistical and Nonlinear Physics (356 citations) and Control and Systems Engineering (412 citations). Chi Huang has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Jianquan Lu, Jinde Cao, Daniel W. C. Ho, Jürgen Kurths, Nariman Mahdavi, Yu‐Chee Tseng, Jie Zhong, Guisheng Zhai, Wei Wang and Hak‐Keung Lam. Their work appears in journals such as PLoS ONE, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.
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.