Daoyi Dong

227 papers receiving 4.0k citations

Hit Papers

Quantum control theory and applications: a survey201020262015202020102023100200300

Peers

Daoyi Dong
Comparison fields: 5 of 122
  • Artificial Intelligence 2.7k
  • Atomic and Molecular Physics, and Optics 1.9k
  • Electrical and Electronic Engineering 653
  • Control and Systems Engineering 634
  • Statistical and Nonlinear Physics 397
Replace Murti V. Salapaka with:
Murti V. Salapaka United States
Chunlin Chen China
Nanrun Zhou China
Tzyh‐Jong Tarn United States
Robert L. Kosut United States
Wenfang Xie China
S. Abdel‐Khalek Saudi Arabia
Deepa Kundur Canada
Luca Daniel United States
G. Stein United States
Daoyi Dong relative to Murti V. Salapaka United States Murti V. Salapaka's profile →
Citations per field
00.5×10.7×
Murti V. Salapaka · 1×
Citations per year

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
#WorkIndexed citations
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10 24
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Reaching Consensus in Quantum Networks with Continuous-time Markovian Dynamics
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Sampled-data design for decoherence control of a single qubit with operator errors
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Hybrid control of uncertain quantum systems via fuzzy estimation and quantum reinforcement learning
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20 12

About Daoyi Dong

Daoyi Dong is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Mathematics, having authored 244 papers that have together received 4.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (151 papers), Quantum Computing Algorithms and Architecture (103 papers) and Quantum Mechanics and Applications (61 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Atomic and Molecular Physics, and Optics (1.9k citations) and Statistical and Nonlinear Physics (397 citations). Daoyi Dong has collaborated with scholars based in Australia, China and United States. Frequent 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. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and IEEE Transactions on Automatic Control.

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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