Sitan Chen

1.1k total citations · 1 hit paper
20 papers, 489 citations indexed

About

Sitan Chen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Sitan Chen has authored 20 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Computational Theory and Mathematics and 5 papers in Mechanical Engineering. Recurrent topics in Sitan Chen's work include Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Advanced materials and composites (4 papers). Sitan Chen is often cited by papers focused on Quantum Computing Algorithms and Architecture (8 papers), Quantum Information and Cryptography (7 papers) and Advanced materials and composites (4 papers). Sitan Chen collaborates with scholars based in United States, China and United Kingdom. Sitan Chen's co-authors include Jerry Li, Hsin-Yuan Huang, John Preskill, Jordan Cotler, Masoud Mohseni, Richard Kueng, Jarrod R. McClean, Ryan Babbush, Hartmut Neven and Michael Broughton and has published in prestigious journals such as Science, Nature Communications and Nature Physics.

In The Last Decade

Sitan Chen

19 papers receiving 478 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.

Quantum advantage in learning from experiments

2022 298 citations Hsin-Yuan Huang, Michael Broughton et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sitan Chen United States	8	375	170	69	44	26	20	489
Andrea Rocchetto United Kingdom	6	354 0.9×	152 0.9×	76 1.1×	33 0.8×	24 0.9×	13	438
Ramona Wolf Germany	8	451 1.2×	217 1.3×	71 1.0×	76 1.7×	14 0.5×	13	576
Taro Kanao Japan	12	192 0.5×	221 1.3×	48 0.7×	86 2.0×	12 0.5×	29	376
Stefania Lazar United States	8	399 1.1×	276 1.6×	68 1.0×	88 2.0×	11 0.4×	17	488
Sergey Knysh United States	8	537 1.4×	339 2.0×	91 1.3×	39 0.9×	14 0.5×	13	610
Alexander Hentschel Germany	7	256 0.7×	131 0.8×	22 0.3×	27 0.6×	8 0.3×	14	313
Yu Tong United States	11	484 1.3×	364 2.1×	65 0.9×	35 0.8×	24 0.9×	22	604
Ryan Sweke Germany	11	795 2.1×	326 1.9×	122 1.8×	80 1.8×	37 1.4×	19	879
Oscar Higgott United Kingdom	7	576 1.5×	288 1.7×	160 2.3×	49 1.1×	18 0.7×	9	621
Johannes Jakob Meyer Germany	9	885 2.4×	332 2.0×	148 2.1×	88 2.0×	48 1.8×	16	972

Countries citing papers authored by Sitan Chen

Since Specialization

Citations

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

Fields of papers citing papers by Sitan Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Sitan Chen. A scholar is included among the top collaborators of Sitan Chen 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 Sitan Chen. Sitan Chen 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:

20 of 20 papers shown

1.

Chen, Sitan, et al.. (2025). Efficient Pauli Channel Estimation with Logarithmic Quantum Memory. PRX Quantum. 6(2). 1 indexed citations

2.

Chen, Sitan, et al.. (2024). Optimal Tradeoffs for Estimating Pauli Observables. 1086–1105. 6 indexed citations

3.

Chen, Sitan. (2024). Efficient learning of many-body systems. Nature Physics. 20(6). 899–900. 1 indexed citations

4.

Cai, Jinwen, Yanfang Liu, Sitan Chen, & Keqin Feng. (2024). Effect of Surface-Modified Graphene Addition on In Situ Synthesized Iron-Based Friction Materials. Journal of Materials Engineering and Performance. 34(3). 2083–2092.

5.

Chen, Sitan, Jordan Cotler, Hsin-Yuan Huang, & Jerry Li. (2023). The complexity of NISQ. Nature Communications. 14(1). 6001–6001. 37 indexed citations

6.

Huang, Hsin-Yuan, Sitan Chen, & John Preskill. (2023). Learning to Predict Arbitrary Quantum Processes. PRX Quantum. 4(4). 36 indexed citations

7.

Chen, Sitan, et al.. (2023). When Does Adaptivity Help for Quantum State Learning?. 391–404. 10 indexed citations

8.

Chen, Sitan, Jerry Li, Yuanzhi Li, & Anru R. Zhang. (2023). Learning Polynomial Transformations via Generalized Tensor Decompositions. 1671–1684. 1 indexed citations

9.

Huang, Hsin-Yuan, Michael Broughton, Jordan Cotler, et al.. (2022). Quantum advantage in learning from experiments. Science. 376(6598). 1182–1186. 298 indexed citations breakdown →

10.

Chen, Sitan, Yanfang Liu, & Keqin Feng. (2022). Effects of Graphene Additions on Iron-Based Friction Material Prepared From Vanadium-Bearing Titanomagnetite Concentrates Directly. Metallurgical and Materials Transactions B. 53(5). 3334–3343. 4 indexed citations

11.

Liu, Xuqiang, Yuhang Liu, Lijun Meng, et al.. (2022). Flowers: precious food and medicine resources. Food Science and Human Wellness. 12(4). 1020–1052. 22 indexed citations

12.

Chen, Sitan, Adam R. Klivans, & Raghu Meka. (2022). Learning Deep ReLU Networks Is Fixed-Parameter Tractable. 696–707. 3 indexed citations

13.

Liu, Yanfang, Keqin Feng, Hongling Zhou, & Sitan Chen. (2022). Microstructure and phases investigations of W–Mo–Cu alloy prepared by large current electric field sintering. Intermetallics. 143. 107488–107488. 9 indexed citations

14.

Chen, Sitan, et al.. (2022). Tight Bounds for Quantum State Certification with Incoherent Measurements. 1205–1213. 15 indexed citations

15.

Zhang, Yanyan, et al.. (2021). Influence of phosphorus on iron-based friction material prepared directly from vanadium-bearing titanomagnetite concentrates. Journal of Iron and Steel Research International. 28(6). 669–678. 4 indexed citations

16.

Chen, Sitan & Ankur Moitra. (2021). Algorithmic foundations for the diffraction limit. 490–503. 7 indexed citations

17.

Chen, Sitan, Jerry Li, & Zhao Song. (2020). Learning mixtures of linear regressions in subexponential time via Fourier moments. 587–600. 5 indexed citations

18.

Bubeck, Sébastien, Sitan Chen, & Jerry Li. (2020). Entanglement is Necessary for Optimal Quantum Property Testing. 692–703. 20 indexed citations

19.

Wang, Jinfeng, et al.. (2020). Effect of Brazing Parameters on the Microstructure and Properties of SiC Ceramic Joint with Zr-Cu Filler Metal. Crystals. 10(2). 93–93. 7 indexed citations

20.

Chen, Sitan, et al.. (2019). Improved bounds for randomly sampling colorings via linear programming. arXiv (Cornell University). 2216–2234. 3 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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