Daochen Wang
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
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- Quantum and electron transport phenomena
- Quantum many-body systems
- Quantum Mechanics and Applications
- Spectroscopy and Quantum Chemical Studies
Papers in
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- Quantum Computing Algorithms and Architecture 9
- Quantum Information and Cryptography 8
- Stochastic Gradient Optimization Techniques 1
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- Quantum and electron transport phenomena 4
- Quantum Mechanics and Applications 3
- Co-authors
- Stephen Brierley (4 shared papers)Oscar Higgott (2 shared papers)Earl T. Campbell (2 shared papers)Ophelia Crawford (2 shared papers)T.W. Parks (2 shared papers)Carl A. Miller (2 shared papers)Tongyang Li (1 shared paper)Andrew M. Childs (3 shared papers)
- Journals
- Quantum (3 papers)Communications in Mathematical Physics (1 paper)Physical review. A (1 paper)Physical Review Letters (1 paper)SIAM Journal on Computing (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daochen Wang
11 papers receiving 560 citations
Daochen Wang's Hit Papers
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 522
- Atomic and Molecular Physics, and Optics 319
- Computational Theory and Mathematics 97
- Statistical and Nonlinear Physics 15
- Acoustics and Ultrasonics 1
Countries citing papers authored by Daochen Wang
This map shows the geographic impact of Daochen Wang'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 Daochen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daochen Wang more than expected).
Fields of papers citing papers by Daochen Wang
This network shows the impact of papers produced by Daochen Wang. 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 Daochen Wang. The network helps show where Daochen Wang may publish in the future.
Co-authors
The 14 scholars most cited alongside Daochen Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Variational Quantum Computation of Excited States Hit paper breakdown → | 2019 | 271 |
| 2 | 2019 | 158 | |
| 3 | 2021 | 114 | |
| 4 | 2021 | 8 | |
| 5 | 2024 | 7 | |
| 6 | Efficient quantum measurement of Pauli operators | 2019 | 4 |
| 7 | 2025 | 4 | |
| 8 | 2022 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 |
About Daochen Wang
Daochen Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Mathematical Physics, Information Systems and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 571 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (8 papers), Quantum and electron transport phenomena (4 papers), Quantum Mechanics and Applications (3 papers), Chaos-based Image/Signal Encryption (1 paper), Cloud Data Security Solutions (1 paper), Complexity and Algorithms in Graphs (1 paper) and Stochastic Gradient Optimization Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (522 citations), Atomic and Molecular Physics, and Optics (319 citations), Computational Theory and Mathematics (97 citations), Statistical and Nonlinear Physics (15 citations) and Acoustics and Ultrasonics (1 citation). Daochen Wang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen Brierley, Oscar Higgott, Earl T. Campbell, Ophelia Crawford, T.W. Parks, Carl A. Miller, Tongyang Li, Andrew M. Childs, Dong An and Jinpeng Liu. Their work appears in journals such as Quantum, Communications in Mathematical Physics, Physical review. A, Physical Review Letters and SIAM Journal on Computing.
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.