Daochen Wang

981 total citations · 1 hit paper
10 papers, 533 citations indexed

About

Daochen Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Mathematical Physics. According to data from OpenAlex, Daochen Wang has authored 10 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Atomic and Molecular Physics, and Optics and 1 paper in Mathematical Physics. Recurrent topics in Daochen Wang's work include Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (8 papers) and Quantum and electron transport phenomena (4 papers). Daochen Wang is often cited by papers focused on Quantum Computing Algorithms and Architecture (9 papers), Quantum Information and Cryptography (8 papers) and Quantum and electron transport phenomena (4 papers). Daochen Wang collaborates with scholars based in United States, Canada and United Kingdom. Daochen Wang's co-authors include Stephen Brierley, Oscar Higgott, Earl T. Campbell, T.W. Parks, Ophelia Crawford, Tongyang Li, Andrew M. Childs, Qi Zhao, Jinpeng Liu and Dong An and has published in prestigious journals such as Physical Review Letters, Communications in Mathematical Physics and SIAM Journal on Computing.

In The Last Decade

Daochen Wang

9 papers receiving 520 citations

Hit Papers

align trajectories

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.

Variational Quantum Computation of Excited States

2019 256 citations Oscar Higgott, Daochen Wang et al. Quantum profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daochen Wang United States	5	498	315	92	18	18	10	533
Tyson Jones United Kingdom	5	541 1.1×	324 1.0×	97 1.1×	19 1.1×	23 1.3×	8	592
Yuval R. Sanders Australia	8	315 0.6×	186 0.6×	59 0.6×	9 0.5×	16 0.9×	12	351
Roman Stricker Austria	5	380 0.8×	275 0.9×	58 0.6×	13 0.7×	46 2.6×	10	447
Panagiotis Kl. Barkoutsos Switzerland	13	666 1.3×	455 1.4×	110 1.2×	36 2.0×	36 2.0×	28	748
Tzu-Ching Yen Canada	8	493 1.0×	347 1.1×	81 0.9×	24 1.3×	37 2.1×	10	529
Debopriyo Biswas United States	6	383 0.8×	355 1.1×	42 0.5×	12 0.7×	29 1.6×	10	477
Jules Tilly United Kingdom	5	517 1.0×	341 1.1×	103 1.1×	37 2.1×	43 2.4×	5	625
Jinzhao Sun United Kingdom	10	457 0.9×	318 1.0×	68 0.7×	20 1.1×	27 1.5×	21	517
Laird Egan United States	6	495 1.0×	378 1.2×	64 0.7×	16 0.9×	42 2.3×	9	591
Mária Kieferová Australia	7	345 0.7×	196 0.6×	64 0.7×	13 0.7×	30 1.7×	10	378

Countries citing papers authored by Daochen Wang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daochen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Daochen Wang. A scholar is included among the top collaborators of Daochen Wang 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 Daochen Wang. Daochen Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Childs, Andrew M., et al.. (2025). Quantum Divide and Conquer. 6(2). 1–26. 1 indexed citations

2.

An, Dong, Jinpeng Liu, Daochen Wang, & Qi Zhao. (2025). Quantum Differential Equation Solvers: Limitations and Fast-Forwarding. Communications in Mathematical Physics. 406(8). 3 indexed citations

3.

Miller, Carl A., et al.. (2024). Lattice-Based Quantum Advantage from Rotated Measurements. Quantum. 8. 1399–1399. 1 indexed citations

4.

Ben-David, Shalev, et al.. (2024). Symmetries, Graph Properties, and Quantum Speedups. SIAM Journal on Computing. 53(6). FOCS20–368.

5.

Wang, Daochen. (2022). Possibilistic simulation of quantum circuits by classical circuits. Physical review. A. 106(6). 2 indexed citations

6.

Crawford, Ophelia, et al.. (2021). Efficient quantum measurement of Pauli operators in the presence of finite sampling error. Quantum. 5. 385–385. 110 indexed citations

7.

Wang, Daochen, et al.. (2021). Quantum Exploration Algorithms for Multi-Armed Bandits. Proceedings of the AAAI Conference on Artificial Intelligence. 35(11). 10102–10110. 8 indexed citations

8.

Crawford, Ophelia, et al.. (2019). Efficient quantum measurement of Pauli operators. arXiv (Cornell University). 4 indexed citations

9.

Wang, Daochen, Oscar Higgott, & Stephen Brierley. (2019). Accelerated Variational Quantum Eigensolver. Physical Review Letters. 122(14). 140504–140504. 148 indexed citations

10.

Higgott, Oscar, Daochen Wang, & Stephen Brierley. (2019). Variational Quantum Computation of Excited States. Quantum. 3. 156–156. 256 indexed citations breakdown →

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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