Sirui Lu

573 total citations
15 papers, 349 citations indexed

About

Sirui Lu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Sirui Lu has authored 15 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atomic and Molecular Physics, and Optics, 7 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Sirui Lu's work include Quantum many-body systems (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Model Reduction and Neural Networks (4 papers). Sirui Lu is often cited by papers focused on Quantum many-body systems (6 papers), Quantum Computing Algorithms and Architecture (6 papers) and Model Reduction and Neural Networks (4 papers). Sirui Lu collaborates with scholars based in China, Germany and United States. Sirui Lu's co-authors include J. I. Cirac, Dong-Ling Deng, Mari Carmen Bañuls, Weikang Li, Xun Gao, L.-M. Duan, Bei Zeng, Duan-Lu Zhou, Keren Li and Dawei Lu and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Sirui Lu

15 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sirui Lu China 8 253 208 36 25 24 15 349
Christopher L. Baldwin United States 9 224 0.9× 226 1.1× 73 2.0× 89 3.6× 35 1.5× 18 431
Lasse Bjørn Kristensen Denmark 8 122 0.5× 130 0.6× 17 0.5× 13 0.5× 37 1.5× 10 235
Hyosub Kim South Korea 7 188 0.7× 367 1.8× 24 0.7× 15 0.6× 18 0.8× 15 416
F. Albarrán-Arriagada Chile 10 292 1.2× 201 1.0× 73 2.0× 11 0.4× 13 0.5× 33 377
Frederico Brito Brazil 11 188 0.7× 224 1.1× 40 1.1× 18 0.7× 8 0.3× 19 266
Thomas M. Huber United States 10 404 1.6× 410 2.0× 26 0.7× 8 0.3× 19 0.8× 39 666
Davide Venturelli Italy 10 99 0.4× 234 1.1× 123 3.4× 53 2.1× 59 2.5× 22 316
Daojin Fan China 5 162 0.6× 135 0.6× 8 0.2× 19 0.8× 14 0.6× 8 239
Dachao Wu China 2 163 0.6× 124 0.6× 7 0.2× 19 0.8× 14 0.6× 3 219
Ruo-Jing Ren China 10 233 0.9× 274 1.3× 31 0.9× 5 0.2× 21 0.9× 21 420

Countries citing papers authored by Sirui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sirui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sirui Lu

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

All Works

15 of 15 papers shown
1.
Chen, Ting, et al.. (2025). Dual-identity microrobots. Chemical Engineering Journal. 509. 161367–161367. 3 indexed citations
2.
Lu, Sirui, et al.. (2025). Tensor networks and efficient descriptions of classical data. Physical review. A. 111(3). 1 indexed citations
3.
Lu, Sirui, et al.. (2025). Variational neural and tensor network approximations of thermal states. Physical review. B.. 111(7). 2 indexed citations
4.
Li, Dajian, et al.. (2025). Biohybrid microrobots with a Spirulina skeleton and MOF skin for efficient organic pollutant adsorption. Nanoscale. 17(12). 7035–7044. 2 indexed citations
5.
Lu, Sirui, et al.. (2025). Quantum algorithms for cooling: A simple case study. Physical Review Research. 7(3). 1 indexed citations
7.
Lu, Sirui, et al.. (2023). A numerical investigation of droplet bouncing behaviors on the superhydrophobic surfaces with different micro-structures. Case Studies in Thermal Engineering. 43. 102728–102728. 11 indexed citations
8.
Lu, Sirui, et al.. (2023). Adversarial machine learning phases of matter. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
9.
Li, Weikang, Sirui Lu, & Dong-Ling Deng. (2021). Quantum federated learning through blind quantum computing. Science China Physics Mechanics and Astronomy. 64(10). 72 indexed citations
10.
Lu, Sirui, Mari Carmen Bañuls, & J. I. Cirac. (2021). Algorithms for Quantum Simulation at Finite Energies. PRX Quantum. 2(2). 82 indexed citations
11.
Lu, Sirui, et al.. (2020). Determining system Hamiltonian from eigenstate measurements without correlation functions. New Journal of Physics. 22(8). 83088–83088. 11 indexed citations
12.
Wang, Sheng-Tao, Sirui Lu, Yuanyuan Huang, et al.. (2019). Machine Learning Topological Phases with a Solid-State Quantum Simulator. Physical Review Letters. 122(21). 210503–210503. 40 indexed citations
13.
Lu, Sirui, Xun Gao, & L.-M. Duan. (2019). Efficient representation of topologically ordered states with restricted Boltzmann machines. Physical review. B.. 99(15). 38 indexed citations
14.
Lu, Sirui, et al.. (2019). Vulnerability of Machine Learning Phases of Matter. 1 indexed citations
15.
Lu, Sirui, Shilin Huang, Keren Li, et al.. (2018). Separability-entanglement classifier via machine learning. Physical review. A. 98(1). 76 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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