Sicun Gao

2.3k total citations · 1 hit paper
43 papers, 513 citations indexed

About

Sicun Gao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Sicun Gao has authored 43 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 12 papers in Computational Theory and Mathematics and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Sicun Gao's work include Formal Methods in Verification (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Reinforcement Learning in Robotics (5 papers). Sicun Gao is often cited by papers focused on Formal Methods in Verification (9 papers), Adversarial Robustness in Machine Learning (5 papers) and Reinforcement Learning in Robotics (5 papers). Sicun Gao collaborates with scholars based in United States, Austria and Dominican Republic. Sicun Gao's 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 and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and IEEE Transactions on Smart Grid.

In The Last Decade

Sicun Gao

41 papers receiving 497 citations

Hit Papers

Safe Control With Learned Certificates: A Survey of Neura... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control
    2023 107 citations Charles Dawson, Sicun Gao et al. IEEE Transactions on Robotics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sicun Gao United States 14 187 183 142 109 80 43 513
Mircea Vlăduţiu Romania 11 41 0.2× 142 0.8× 180 1.3× 51 0.5× 117 1.5× 84 401
Elias P. Duarte Brazil 13 73 0.4× 131 0.7× 147 1.0× 38 0.3× 109 1.4× 117 669
Mostafa Abd‐El‐Barr Saudi Arabia 14 22 0.1× 137 0.7× 252 1.8× 118 1.1× 170 2.1× 73 604
Arne Hamann Germany 18 87 0.5× 256 1.4× 80 0.6× 304 2.8× 893 11.2× 60 1.2k
J.R. James United States 13 149 0.8× 115 0.6× 76 0.5× 60 0.6× 13 0.2× 38 352
William N. N. Hung United States 15 39 0.2× 445 2.4× 362 2.5× 467 4.3× 201 2.5× 78 941

Countries citing papers authored by Sicun Gao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Yu, Mingxin, et al.. (2024). Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller. 14348–14355. 3 indexed citations
3.
Gao, Sicun, et al.. (2024). Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey. SHILAP Revista de lepidopterología. 3. 310–324. 1 indexed citations
4.
Gao, Sicun, et al.. (2024). Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. 278–293. 2 indexed citations
5.
Dawson, Charles, Sicun Gao, & Chuchu Fan. (2023). Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control. IEEE Transactions on Robotics. 39(3). 1749–1767. 107 indexed citations breakdown →
6.
Guo, Yunhui, et al.. (2023). SCALE: Online Self-Supervised Lifelong Learning without Prior Knowledge. 2484–2495. 1 indexed citations
7.
Gao, Sicun, et al.. (2023). Learning Stabilization Control from Observations by Learning Lyapunov-like Proxy Models. 2913–2920. 2 indexed citations
8.
Balaji, Bharathan, et al.. (2022). Safe HVAC Control via Batch Reinforcement Learning. 181–192. 16 indexed citations
9.
Weng, Tsui-Wei, et al.. (2022). Quantifying Safety of Learning-based Self-Driving Control Using Almost-Barrier Functions. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 12903–12910. 7 indexed citations
10.
Huang, Tong, Sicun Gao, & Le Xie. (2021). A Neural Lyapunov Approach to Transient Stability Assessment of Power Electronics-Interfaced Networked Microgrids. IEEE Transactions on Smart Grid. 13(1). 106–118. 49 indexed citations
11.
Ho, Chia-Tung, et al.. (2021). Many-Tier Vertical Gate-All-Around Nanowire FET Standard Cell Synthesis for Advanced Technology Nodes. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 7(1). 52–60. 5 indexed citations
12.
Lee, Min Kyung, et al.. (2021). Participatory Algorithmic Management. 715–726. 22 indexed citations
13.
Gao, Sicun, et al.. (2020). RTA3: A Real Time Adversarial Attack on Recurrent Neural Networks. 27–33. 2 indexed citations
14.
Kang, Ilgweon, et al.. (2020). Grid-Based Framework for Routability Analysis and Diagnosis With Conditional Design Rules. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39(12). 5097–5110. 14 indexed citations
15.
Park, Dong-Won, Ilgweon Kang, Yeseong Kim, et al.. (2019). ROAD. 65–72. 12 indexed citations
16.
Bae, Kyungmin & Sicun Gao. (2017). Modular SMT-based analysis of nonlinear hybrid systems. 180–187. 6 indexed citations
17.
Islam, Md. Ariful, Nicola Paoletti, Houssam Abbas, et al.. (2016). CyberCardia project: Modeling, verification and validation of implantable cardiac devices. 33. 1445–1452. 2 indexed citations
18.
Bae, Kyungmin, Peter Csaba Ölveczky, Soonho Kong, Sicun Gao, & Edmund M. Clarke. (2016). SMT-Based Analysis of Virtually Synchronous Distributed Hybrid Systems. 145–154. 8 indexed citations
19.
Bryce, Daniel, Sicun Gao, David J. Musliner, & Robert P. Goldman. (2015). SMT-Based Nonlinear PDDL+ Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 29(1). 33 indexed citations
20.
Gao, Sicun, Malay Ganai, Franjo Ivančić, et al.. (2010). Integrating ICP and LRA solvers for deciding nonlinear real arithmetic problems. 81–90. 17 indexed citations

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.

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