Changpeng Shao

496 total citations
24 papers, 242 citations indexed

About

Changpeng Shao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Changpeng Shao has authored 24 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computational Theory and Mathematics and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Changpeng Shao's work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Matrix Theory and Algorithms (6 papers). Changpeng Shao is often cited by papers focused on Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Matrix Theory and Algorithms (6 papers). Changpeng Shao collaborates with scholars based in United Kingdom, China and United States. Changpeng Shao's co-authors include Ashley Montanaro, Hua Xiang, Li Yang, Hongbo Li, Noah Linden, Yu-Chun Wu, Yuanhang Zhang, Guang‐Can Guo, Shijie Wei and Keren Li and has published in prestigious journals such as Communications in Mathematical Physics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Science Bulletin.

In The Last Decade

Changpeng Shao

22 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changpeng Shao United Kingdom	9	204	71	60	19	12	24	242
Daan Camps United States	8	149 0.7×	82 1.2×	43 0.7×	14 0.7×	12 1.0×	27	229
Carlos Bravo-Prieto Spain	9	284 1.4×	99 1.4×	66 1.1×	27 1.4×	10 0.8×	10	318
Vincent E. Elfving United Kingdom	9	264 1.3×	150 2.1×	39 0.7×	50 2.6×	24 2.0×	22	320
Zhikuan Zhao Switzerland	8	276 1.4×	96 1.4×	99 1.6×	20 1.1×	9 0.8×	11	301
Ewin Tang United States	9	174 0.9×	93 1.3×	42 0.7×	11 0.6×	17 1.4×	14	216
Chris Granade United States	4	275 1.3×	170 2.4×	30 0.5×	39 2.1×	14 1.2×	7	310
Bobak T. Kiani United States	7	231 1.1×	91 1.3×	50 0.8×	16 0.8×	9 0.8×	15	251
Dax Enshan Koh Singapore	12	353 1.7×	212 3.0×	62 1.0×	37 1.9×	33 2.8×	33	410
Charles H. Baldwin United States	11	274 1.3×	191 2.7×	16 0.3×	38 2.0×	6 0.5×	15	314
Hao–Chung Cheng Taiwan	10	200 1.0×	66 0.9×	32 0.5×	85 4.5×	12 1.0×	40	247

Countries citing papers authored by Changpeng Shao

Since Specialization

Citations

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

Fields of papers citing papers by Changpeng Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changpeng Shao

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

All Works

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20 of 20 papers shown

Shao, Changpeng, et al.. (2025). Lower bounds for quantum-inspired classical algorithms via communication complexity. Quantum. 9. 1593–1593.

Montanaro, Ashley & Changpeng Shao. (2024). Quantum and Classical Query Complexities of Functions of Matrices. Bristol Research (University of Bristol). 573–584. 2 indexed citations

Wei, Shijie, Chao Wei, Changpeng Shao, et al.. (2023). A quantum algorithm for heat conduction with symmetrization. Science Bulletin. 68(5). 494–502. 14 indexed citations

Shao, Changpeng. (2023). A Deterministic Kaczmarz Algorithm for Solving Linear Systems. SIAM Journal on Matrix Analysis and Applications. 44(1). 212–239. 5 indexed citations

Montanaro, Ashley & Changpeng Shao. (2023). Quantum Communication Complexity of Linear Regression. Explore Bristol Research. 16(1). 1–30. 4 indexed citations

Shao, Changpeng & Ashley Montanaro. (2022). Faster Quantum-inspired Algorithms for Solving Linear Systems. Bristol Research (University of Bristol). 3(4). 1–23. 11 indexed citations

Shao, Changpeng. (2022). Computing Eigenvalues of Diagonalizable Matrices on a Quantum Computer. 3(4). 1–20. 6 indexed citations

Shao, Changpeng & Jinpeng Liu. (2022). Solving generalized eigenvalue problems by ordinary differential equations on a quantum computer. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 478(2262). 2 indexed citations

Shao, Changpeng & Hua Xiang. (2020). Row and column iteration methods to solve linear systems on a quantum computer. Physical review. A. 101(2). 10 indexed citations

10.

Shao, Changpeng. (2020). A quantum model of feed-forward neural networks with unitary learning algorithms. Quantum Information Processing. 19(3). 20 indexed citations

11.

Shao, Changpeng & Hua Xiang. (2020). Quantum regularized least squares solver with parameter estimate. Quantum Information Processing. 19(4). 5 indexed citations

12.

Shao, Changpeng. (2019). Quantum speedup of Bayes’ classifiers. Journal of Physics A Mathematical and Theoretical. 53(4). 45301–45301. 5 indexed citations

13.

Shao, Changpeng. (2019). Fast variational quantum algorithms for training neural networks and solving convex optimizations. Physical review. A. 99(4). 7 indexed citations

14.

Shao, Changpeng. (2019). Quantum speedup of training radial basis function networks. Quantum Information and Computation. 19(7&8). 609–625. 5 indexed citations

15.

Zhang, Yuanhang, et al.. (2019). Building quantum neural networks based on a swap test. Physical review. A. 100(1). 36 indexed citations

16.

Shao, Changpeng, Li Yang, & Hongbo Li. (2019). Quantum Algorithm Design: Techniques and Applications. Journal of Systems Science and Complexity. 32(1). 375–452. 45 indexed citations

17.

Shao, Changpeng, Hongbo Li, & Lei Huang. (2018). Basis-free solution to general linear quaternionic equation. Linear and Multilinear Algebra. 68(3). 435–457. 1 indexed citations

18.

Shao, Changpeng & Hua Xiang. (2018). Quantum circulant preconditioner for a linear system of equations. Physical review. A. 98(6). 16 indexed citations

19.

Huang, Lei, et al.. (2016). Matrices of SL $${(4, \mathbb{R})}$$ ( 4 , R ) that are the Product of Two Skew-Symmetric Matrices. Advances in Applied Clifford Algebras. 27(1). 475–489. 1 indexed citations

20.

Li, Hongbo, Changpeng Shao, Lei Huang, & Yue Liu. (2014). Reduction among bracket polynomials. 304–311. 1 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.

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