Daoyi Dong

6.6k total citations · 2 hit papers
244 papers, 4.1k citations indexed

About

Daoyi Dong is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Daoyi Dong has authored 244 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 175 papers in Artificial Intelligence, 138 papers in Atomic and Molecular Physics, and Optics and 38 papers in Electrical and Electronic Engineering. Recurrent topics in Daoyi Dong's work include Quantum Information and Cryptography (151 papers), Quantum Computing Algorithms and Architecture (103 papers) and Quantum Mechanics and Applications (61 papers). Daoyi Dong is often cited by papers focused on Quantum Information and Cryptography (151 papers), Quantum Computing Algorithms and Architecture (103 papers) and Quantum Mechanics and Applications (61 papers). Daoyi Dong collaborates with scholars based in Australia, China and United States. Daoyi Dong's co-authors include Ian R. Petersen, Chunlin Chen, Tzyh‐Jong Tarn, Han‐Xiong Li, Bo Qi, Herschel Rabitz, Huadong Mo, Hailan Ma, Chuan‐Cun Shu and Franco Nori and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Automatic Control.

In The Last Decade

Daoyi Dong

227 papers receiving 4.0k citations

Hit Papers

Quantum control theory and applications: a survey 2010 2026 2015 2020 2010 2023 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daoyi Dong Australia 34 2.7k 1.9k 653 634 397 244 4.1k
Wenfang Xie China 39 888 0.3× 2.8k 1.4× 1.1k 1.6× 1.2k 1.9× 108 0.3× 332 5.3k
Chunlin Chen China 32 1.6k 0.6× 441 0.2× 661 1.0× 460 0.7× 113 0.3× 203 3.3k
Tzyh‐Jong Tarn United States 29 1.0k 0.4× 597 0.3× 293 0.4× 1.3k 2.0× 147 0.4× 120 2.8k
S. Abdel‐Khalek Saudi Arabia 30 1.9k 0.7× 1.6k 0.8× 269 0.4× 74 0.1× 491 1.2× 311 3.3k
Robert L. Kosut United States 29 638 0.2× 494 0.3× 237 0.4× 2.1k 3.3× 279 0.7× 150 3.3k
Murti V. Salapaka United States 25 289 0.1× 1.5k 0.8× 903 1.4× 1.2k 1.9× 252 0.6× 182 3.0k
Yung‐Jr Hung Taiwan 25 263 0.1× 431 0.2× 887 1.4× 1.3k 2.0× 176 0.4× 165 2.7k
Xiao Yuan China 29 3.7k 1.4× 2.7k 1.4× 273 0.4× 40 0.1× 196 0.5× 108 5.2k
Xiaolong Su China 26 1.7k 0.6× 1.7k 0.9× 282 0.4× 132 0.2× 35 0.1× 87 2.5k
Christopher King United States 22 728 0.3× 547 0.3× 182 0.3× 868 1.4× 172 0.4× 68 2.4k

Countries citing papers authored by Daoyi Dong

Since Specialization
Citations

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

Fields of papers citing papers by Daoyi Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoyi Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Daoyi Dong. A scholar is included among the top collaborators of Daoyi Dong 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 Daoyi Dong. Daoyi Dong 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.
Rana, Md Masud, Huadong Mo, GM Shafiullah, Li Qiao, & Daoyi Dong. (2025). Peak Load Mitigation Using Battery Energy Storage Systems for a Regional Distribution Network. IEEE Transactions on Industry Applications. 62(2). 2172–2185.
2.
Dong, Daoyi, et al.. (2025). Precise quantum control of molecular rotation toward a desired orientation. Physical Review Research. 7(1). 3 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.
Qi, Bo, et al.. (2024). Stabilizing preparation of quantum Gaussian states via continuous measurement. Automatica. 164. 111622–111622.
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.
Pota, H. R., et al.. (2024). Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder. Ain Shams Engineering Journal. 15(10). 102972–102972.
7.
Ma, Hailan, et al.. (2024). Neural networks for quantum state tomography with constrained measurements. Quantum Information Processing. 23(9). 3 indexed citations
8.
Ma, Hailan, et al.. (2023). Tomography of quantum detectors using neural networks. IFAC-PapersOnLine. 56(2). 5875–5880. 3 indexed citations
9.
Dong, Daoyi, et al.. (2023). On the regularization and optimization in quantum detector tomography. Automatica. 155. 111124–111124. 3 indexed citations
10.
Uddin, Moslem, Huadong Mo, Daoyi Dong, & Sondoss Elsawah. (2023). Techno-economic potential of multi-energy community microgrid: The perspective of Australia. Renewable Energy. 219. 119544–119544. 24 indexed citations
11.
Zhao, Xudong, et al.. (2023). Hamiltonian Identification via Quantum Ensemble Classification. IEEE Transactions on Neural Networks and Learning Systems. 35(8). 11261–11275. 3 indexed citations
12.
Dong, Daoyi & Ian R. Petersen. (2023). Learning and Robust Control in Quantum Technology. 22 indexed citations
13.
Bouchekara, Houssem R. E. H., et al.. (2021). Optimization of electric spring operational strategy to minimize electricity bill. Electric Power Systems Research. 201. 107540–107540. 1 indexed citations
14.
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
15.
Shu, Chuan‐Cun, Daoyi Dong, & Kai‐Jun Yuan. (2017). Single-laser-induced quantum interference in photofragmentation reaction of D + 2. Molecular Physics. 115(15-16). 1908–1915. 2 indexed citations
16.
Liu, Lijun, Shuming Cheng, Bo Qi, Zairong Xi, & Daoyi Dong. (2015). Precision limit of atomic magnetometers in the presence of spin-destruction collisions. Journal of Physics B Atomic Molecular and Optical Physics. 48(3). 35502–35502. 9 indexed citations
17.
Shi, Guodong, Daoyi Dong, Ian R. Petersen, & Karl Henrik Johansson. (2014). Reaching Consensus in Quantum Networks with Continuous-time Markovian Dynamics. arXiv (Cornell University). 1 indexed citations
18.
Dong, Daoyi, Ian R. Petersen, X. X. Yi, & Herschel Rabitz. (2012). Sampled-data design for decoherence control of a single qubit with operator errors. 13–18. 1 indexed citations
19.
Chen, Chunlin, et al.. (2012). Hybrid control of uncertain quantum systems via fuzzy estimation and quantum reinforcement learning. Own your potential (DEAKIN). 7177–7182. 1 indexed citations
20.
Dong, Daoyi & Ian R. Petersen. (2010). Controllability of quantum systems with switching control. International Journal of Control. 84(1). 37–46. 12 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026