Chengdai Huang
- Computer Networks and Communications top 1%
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 2%
- Modeling and Simulation top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Jinde CaoMin XiaoTe‐Jen SuAhmed AlsaediTasawar HayatHeng LiuXiaoping ChenFuad E. Alsaadi
- Topics
- Neural Networks Stability and Synchronization (66 papers)stochastic dynamics and bifurcation (44 papers)Neural Networks and Applications (40 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
- Partner nations
- ChinaSouth KoreaSaudi Arabia
In The Last Decade
Chengdai Huang
103 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 81
- Computer Networks and Communications 1.4k
- Statistical and Nonlinear Physics 975
- Artificial Intelligence 648
- Modeling and Simulation 627
- Public Health, Environmental and Occupational Health 583
Countries citing papers authored by Chengdai Huang
This map shows the geographic impact of Chengdai 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 Chengdai Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengdai Huang more than expected).
Fields of papers citing papers by Chengdai Huang
This network shows the impact of papers produced by Chengdai 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 Chengdai Huang. The network helps show where Chengdai Huang may publish in the future.
Co-authorship network of co-authors of Chengdai Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Chengdai Huang. A scholar is included among the top collaborators of Chengdai 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 Chengdai Huang. Chengdai 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 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 46 |
About Chengdai Huang
Chengdai Huang is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 111 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (66 papers), stochastic dynamics and bifurcation (44 papers) and Neural Networks and Applications (40 papers). The work is most often cited by research in Modeling and Simulation (627 citations), Statistical and Nonlinear Physics (975 citations) and Computer Networks and Communications (1.4k citations). Chengdai Huang has collaborated with scholars based in China, South Korea and Saudi Arabia. Frequent co-authors include Jinde Cao, Min Xiao, Te‐Jen Su, Ahmed Alsaedi, Tasawar Hayat, Heng Liu, Xiaoping Chen, Fuad E. Alsaadi, Juan Wang and Zhengxin Wang. Their work appears in journals such as IEEE Transactions on Automatic Control, Expert Systems with Applications and IEEE Access.
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.