Chunhao Wang

451 total citations
12 papers, 119 citations indexed

About

Chunhao Wang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Chunhao Wang has authored 12 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 4 papers in Computational Theory and Mathematics. Recurrent topics in Chunhao Wang's work include Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (5 papers) and Machine Learning and Algorithms (2 papers). Chunhao Wang is often cited by papers focused on Quantum Computing Algorithms and Architecture (11 papers), Quantum Information and Cryptography (5 papers) and Machine Learning and Algorithms (2 papers). Chunhao Wang collaborates with scholars based in United States, Canada and China. Chunhao Wang's co-authors include Richard Cleve, Patrick Rall, Paweł Wocjan, Debbie Leung, Tongyang Li, Leonard Wossnig, András Gilyén, Ewin Tang, Xiantao Li and Seth Lloyd and has published in prestigious journals such as Communications in Mathematical Physics, Journal of the ACM and Quantum Information and Computation.

In The Last Decade

Chunhao Wang

11 papers receiving 117 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunhao Wang United States 7 99 64 19 11 8 12 119
Mitchell Matheny United States 4 53 0.5× 53 0.8× 10 0.5× 9 0.8× 8 1.0× 5 85
Niel de Beaudrap United Kingdom 7 98 1.0× 87 1.4× 29 1.5× 11 1.0× 7 0.9× 15 130
Hayata Yamasaki Japan 7 122 1.2× 80 1.3× 18 0.9× 6 0.5× 6 0.8× 22 137
Samson Wang United States 7 145 1.5× 60 0.9× 20 1.1× 7 0.6× 20 2.5× 7 166
Simon Martiel France 6 87 0.9× 33 0.5× 42 2.2× 5 0.5× 10 1.3× 15 106
Colin Enderud United States 3 122 1.2× 92 1.4× 15 0.8× 6 0.5× 16 2.0× 3 144
Narendra N. Hegade Spain 6 170 1.7× 90 1.4× 38 2.0× 11 1.0× 13 1.6× 15 218
Eneet Kaur United States 9 227 2.3× 182 2.8× 19 1.0× 24 2.2× 10 1.3× 21 251
Manuel S. Rudolph Switzerland 6 143 1.4× 63 1.0× 17 0.9× 6 0.5× 13 1.6× 8 167
M. Sohaib Alam United States 6 76 0.8× 53 0.8× 22 1.2× 4 0.4× 5 0.6× 9 103

Countries citing papers authored by Chunhao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chunhao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunhao Wang

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

All Works

12 of 12 papers shown
1.
2.
Chakrabarti, Shouvanik, Andrew M. Childs, Shih-Han Hung, et al.. (2023). Quantum Algorithm for Estimating Volumes of Convex Bodies. 4(3). 1–60. 3 indexed citations
3.
Rall, Patrick, Chunhao Wang, & Paweł Wocjan. (2023). Thermal State Preparation via Rounding Promises. Quantum. 7. 1132–1132. 27 indexed citations
4.
Li, Xiantao & Chunhao Wang. (2023). Succinct Description and Efficient Simulation of Non-Markovian Open Quantum Systems. Communications in Mathematical Physics. 401(1). 147–183. 6 indexed citations
5.
Gilyén, András, et al.. (2022). Sampling-based Sublinear Low-rank Matrix Arithmetic Framework for Dequantizing Quantum Machine Learning. Journal of the ACM. 69(5). 1–72. 15 indexed citations
6.
Li, Tongyang, Chunhao Wang, Shouvanik Chakrabarti, & Xiaodi Wu. (2021). Sublinear Classical and Quantum Algorithms for General Matrix Games. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 8465–8473. 4 indexed citations
7.
Gilyén, András, et al.. (2020). Quantum-Inspired Algorithms for Solving Low-Rank Linear Equation Systems with Logarithmic Dependence on the Dimension. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 9 indexed citations
8.
Aaronson, Scott, et al.. (2020). On the Quantum Complexity of Closest Pair and Related Problems. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 6 indexed citations
9.
Li, Tongyang, et al.. (2020). Quantum-Inspired Sublinear Algorithm for Solving Low-Rank Semidefinite Programming.. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 15. 5 indexed citations
10.
Wang, Chunhao & Leonard Wossnig. (2020). A quantum algorithm for simulating non-sparse Hamiltonians. Quantum Information and Computation. 20(7&8). 597–615. 9 indexed citations
11.
Cleve, Richard & Chunhao Wang. (2017). Efficient Quantum Algorithms for Simulating Lindblad Evolution. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics). 17. 10 indexed citations
12.
Cleve, Richard, et al.. (2016). Near-linear constructions of exact unitary 2-designs. Quantum Information and Computation. 16(9&10). 721–756. 25 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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2026