Sicun Gao
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 10%
- Co-authors
- Chuchu FanCharles DawsonLe XieEdmund M. ClarkeTong HuangIlgweon KangSoonho KongChung‐Kuan Cheng
- Topics
- Formal Methods in Verification (9 papers)Adversarial Robustness in Machine Learning (5 papers)Reinforcement Learning in Robotics (5 papers)
- Journals
- The Journal of Chemical PhysicsSHILAP Revista de lepidopterologíaIEEE Transactions on Smart Grid
- Partner nations
- United StatesAustriaDominican Republic
In The Last Decade
Sicun Gao
41 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Control and Systems Engineering 187
- Artificial Intelligence 183
- Electrical and Electronic Engineering 142
- Computational Theory and Mathematics 109
- Hardware and Architecture 80
Countries citing papers authored by Sicun Gao
This map shows the geographic impact of Sicun Gao'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 Sicun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicun Gao more than expected).
Fields of papers citing papers by Sicun Gao
This network shows the impact of papers produced by Sicun Gao. 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 Sicun Gao. The network helps show where Sicun Gao may publish in the future.
Co-authorship network of co-authors of Sicun Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Sicun Gao. A scholar is included among the top collaborators of Sicun Gao 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 Sicun Gao. Sicun Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Controlbreakdown → | 107 |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 49 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 12 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 8 | |
| 19 | 33 | |
| 20 | 17 |
About Sicun Gao
Sicun Gao is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Artificial Intelligence, having authored 43 papers that have together received 513 indexed citations. Recurring topics across this work include Formal Methods in Verification (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Software (54 citations), Hardware and Architecture (80 citations) and Control and Systems Engineering (187 citations). Sicun Gao has collaborated with scholars based in United States, Austria and Dominican Republic. Frequent co-authors include Chuchu Fan, Charles Dawson, Le Xie, Edmund M. Clarke, Tong Huang, Ilgweon Kang, Soonho Kong, Chung‐Kuan Cheng, Bill Lin and Robert P. Goldman. Their work appears in journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and IEEE Transactions on Smart Grid.
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.