Long Hu
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Numerical Analysis top 5%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- Miroslav KrstićFlorent Di MeglioRafael VázquezGuillaume OliveJean‐Michel CoronFederico Bribiesca ArgomedoTatsien LiBopeng Rao
- Topics
- Stability and Controllability of Differential Equations (16 papers)Advanced Mathematical Modeling in Engineering (11 papers)Advanced Mathematical Physics Problems (10 papers)
- Journals
- IEEE Transactions on Automatic ControlBiochemical and Biophysical Research CommunicationsAutomatica
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Long Hu
22 papers receiving 597 citations
Peers
Comparison fields: 5 of 52
- Control and Systems Engineering 579
- Computational Theory and Mathematics 274
- Mathematical Physics 194
- Numerical Analysis 148
- Statistical and Nonlinear Physics 127
Countries citing papers authored by Long Hu
This map shows the geographic impact of Long Hu'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 Long Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Hu more than expected).
Fields of papers citing papers by Long Hu
This network shows the impact of papers produced by Long Hu. 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 Long Hu. The network helps show where Long Hu may publish in the future.
Co-authorship network of co-authors of Long Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Long Hu. A scholar is included among the top collaborators of Long Hu 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 Long Hu. Long Hu 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 | 10 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 29 | |
| 8 | 56 | |
| 9 | 107 | |
| 10 | 84 | |
| 11 | 2 | |
| 12 | 32 | |
| 13 | 221 | |
| 14 | 11 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 21 | |
| 18 | Flicker detection algorithm based on FFT about error analysis and correction | 0 |
| 19 | 14 | |
| 20 | 5 |
About Long Hu
Long Hu is a scholar working on Mathematical Physics, Control and Systems Engineering and Numerical Analysis, having authored 26 papers that have together received 633 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (16 papers), Advanced Mathematical Modeling in Engineering (11 papers) and Advanced Mathematical Physics Problems (10 papers). The work is most often cited by research in Numerical Analysis (148 citations), Control and Systems Engineering (579 citations) and Mathematical Physics (194 citations). Long Hu has collaborated with scholars based in China, France and United States. Frequent co-authors include Miroslav Krstić, Florent Di Meglio, Rafael Vázquez, Guillaume Olive, Jean‐Michel Coron, Federico Bribiesca Argomedo, Tatsien Li, Bopeng Rao, Peipei Shang and Yang Bai. Their work appears in journals such as IEEE Transactions on Automatic Control, Biochemical and Biophysical Research Communications and Automatica.
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.