Sen Kuang

736 total citations
48 papers, 458 citations indexed

About

Sen Kuang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Sen Kuang has authored 48 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 39 papers in Atomic and Molecular Physics, and Optics and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in Sen Kuang's work include Quantum Information and Cryptography (43 papers), Quantum Computing Algorithms and Architecture (23 papers) and Quantum Mechanics and Applications (18 papers). Sen Kuang is often cited by papers focused on Quantum Information and Cryptography (43 papers), Quantum Computing Algorithms and Architecture (23 papers) and Quantum Mechanics and Applications (18 papers). Sen Kuang collaborates with scholars based in China, Australia and Hong Kong. Sen Kuang's co-authors include Shuang Cong, Daoyi Dong, Ian R. Petersen, Yanan Liu, Hidehiro Yonezawa, Jie Wen, Yifei Lou, Hui Zhang, Jerry Zhijian Yang and Gan Li and has published in prestigious journals such as Automatica, IEEE Access and IEEE Transactions on Communications.

In The Last Decade

Sen Kuang

40 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sen Kuang China 12 400 340 114 18 16 48 458
Bo Qi China 12 400 1.0× 367 1.1× 70 0.6× 10 0.6× 22 1.4× 35 496
Luc Bouten United States 9 493 1.2× 448 1.3× 85 0.7× 11 0.6× 4 0.3× 16 548
Francesco Albarelli Italy 12 541 1.4× 530 1.6× 70 0.6× 4 0.2× 6 0.4× 29 656
Veronica Umanità Italy 9 151 0.4× 158 0.5× 104 0.9× 13 0.7× 33 2.1× 27 320
Alexander Hentschel Germany 7 256 0.6× 131 0.4× 24 0.2× 20 1.1× 3 0.2× 14 313
Dax Enshan Koh Singapore 12 353 0.9× 212 0.6× 33 0.3× 4 0.2× 6 0.4× 33 410
Marcin Jarzyna Poland 10 426 1.1× 440 1.3× 40 0.4× 3 0.2× 7 0.4× 34 520
Zhihua Guo China 11 259 0.6× 247 0.7× 27 0.2× 5 0.3× 1 0.1× 59 330
Pradeep Niroula United States 9 291 0.7× 331 1.0× 78 0.7× 6 0.3× 1 0.1× 14 436
Shuming Cheng China 10 416 1.0× 433 1.3× 56 0.5× 2 0.1× 2 0.1× 31 475

Countries citing papers authored by Sen Kuang

Since Specialization
Citations

This map shows the geographic impact of Sen Kuang'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 Sen Kuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Kuang more than expected).

Fields of papers citing papers by Sen Kuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sen Kuang. 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 Sen Kuang. The network helps show where Sen Kuang may publish in the future.

Co-authorship network of co-authors of Sen Kuang

This figure shows the co-authorship network connecting the top 25 collaborators of Sen Kuang. A scholar is included among the top collaborators of Sen Kuang 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 Sen Kuang. Sen Kuang 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.
Kuang, Sen, et al.. (2025). Optimal Asymmetric Controlled Teleportation Protocol Under Correlated and Uncorrelated Amplitude Damping Noises. IEEE Transactions on Communications. 73(12). 14695–14709.
2.
Zhang, Kai, et al.. (2025). Robust Control of Uncertain Quantum Systems Based on Physics-Informed Neural Networks and Sampling Learning. IEEE Transactions on Artificial Intelligence. 6(7). 1906–1917. 1 indexed citations
3.
Ma, Hailan, et al.. (2025). Auxiliary Task-Based Deep Reinforcement Learning for Quantum Control. IEEE Transactions on Cybernetics. 55(2). 712–725. 2 indexed citations
4.
Wang, Yufeng, Xiangbo Yang, Sen Kuang, et al.. (2025). Two types of quantized bound states in the continuum with large Q factor generated by one-dimensional finite periodic optical waveguide networks. Optics Communications. 595. 132371–132371.
5.
Zhang, Peiyao, et al.. (2024). Optimal tripartite quantum teleportation protocols via noisy channels by feed-forward control and environment-assisted measurement. Results in Physics. 60. 107632–107632. 3 indexed citations
6.
Liu, Song, et al.. (2023). Lyapunov control of finite-dimensional quantum systems based on bi-objective quantum-behaved particle swarm optimization algorithm. Journal of the Franklin Institute. 360(17). 13951–13971. 2 indexed citations
7.
Cong, Shuang, et al.. (2023). Real-Time Optimal State Estimation-Based Feedback Control for Stochastic Quantum Systems in the Non-Markovian Case. Journal of Systems Science and Complexity. 36(6). 2274–2291.
8.
Huang, Tianjian, et al.. (2022). Enhancing the precision of multi-parameter estimation for two-level open quantum system by mixed control. Quantum Information Processing. 21(7).
9.
Gan, Li, et al.. (2022). Approximate bang-bang control assisted rapid switching feedback stabilization for stochastic qubit systems. Journal of the Franklin Institute. 359(5). 2073–2091. 3 indexed citations
10.
Kuang, Sen, et al.. (2021). Rapid Feedback Stabilization of Quantum Systems With Application to Preparation of Multiqubit Entangled States. IEEE Transactions on Cybernetics. 52(10). 11213–11225. 8 indexed citations
11.
Liu, Yanan, Daoyi Dong, Sen Kuang, Ian R. Petersen, & Hidehiro Yonezawa. (2021). Two-step feedback preparation of entanglement for qubit systems with time delay. Automatica. 125. 109174–109174. 7 indexed citations
12.
Kuang, Sen, et al.. (2020). Lyapunov Control of High-Dimensional Closed Quantum Systems Based on Particle Swarm Optimization. IEEE Access. 8. 49765–49774. 6 indexed citations
13.
Kuang, Sen, et al.. (2020). Robustness of continuous non‐smooth finite‐time Lyapunov control for two‐level quantum systems. IET Control Theory and Applications. 14(16). 2449–2454. 2 indexed citations
14.
Kuang, Sen, et al.. (2019). A Fusion Measurement Approach to Improve Quantum State Tomography Efficiency and Accuracy. IEEE Transactions on Instrumentation and Measurement. 69(6). 3049–3060. 4 indexed citations
15.
Kuang, Sen, et al.. (2019). Coherent H control for linear quantum passive systems with model uncertainties. IET Control Theory and Applications. 13(5). 711–720. 9 indexed citations
16.
Kuang, Sen, Daoyi Dong, & Ian R. Petersen. (2018). Lyapunov Control of Quantum Systems Based on Energy-Level Connectivity Graphs. IEEE Transactions on Control Systems Technology. 27(6). 2315–2329. 14 indexed citations
17.
Kuang, Sen, Peng Qi, & Shuang Cong. (2018). Approximate time-optimal control of quantum ensembles based on sampling and learning. Physics Letters A. 382(28). 1858–1863. 4 indexed citations
18.
Liu, Yanan, Sen Kuang, & Shuang Cong. (2016). Lyapunov-Based Feedback Preparation of GHZ Entanglement of $N$ -Qubit Systems. IEEE Transactions on Cybernetics. 47(11). 3827–3839. 32 indexed citations
19.
Kang, Yu, et al.. (2012). Predictive compensation for Networked Cascade Control Systems with uncertainties. Chinese Control Conference. 4256–4260. 3 indexed citations
20.
Kuang, Sen. (2008). Review of state estimation methods in quantum systems. Kongzhi yu juece.

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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