Di Luo

789 total citations
24 papers, 522 citations indexed

About

Di Luo is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Di Luo has authored 24 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 9 papers in Materials Chemistry and 8 papers in Artificial Intelligence. Recurrent topics in Di Luo's work include Quantum many-body systems (9 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Di Luo is often cited by papers focused on Quantum many-body systems (9 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Quantum Computing Algorithms and Architecture (5 papers). Di Luo collaborates with scholars based in United States, China and Canada. Di Luo's co-authors include Bryan K. Clark, Ryan Levy, Kejin Wei, Chunfeng Huang, Zhenrong Zhang, Chia‐Hao Lee, Chuqiao Shi, Pinshane Y. Huang, Wenjuan Zhu and Blanka Janicek and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

Di Luo

24 papers receiving 506 citations

Peers

Di Luo

AMPO

CMP

EEE

Sebastian Knauer Austria

Kamil A. Valiev Russia

Saugat Kandel United States

Petr M. Anisimov United States

A. J. O'Connor Australia

Sarayut Deachapunya Thailand

W. E. Shanks United States

J. Schulz Germany

Nima Kalhor Netherlands

Takao Waho Japan

Sebastian Knauer Austria

Di Luo

370 ×1.1

AMPO

219 ×0.9

271 ×2.3

23 ×0.5

CMP

145 ×3.0

EEE

Citations per year, relative to Di Luo Di Luo (= 1×) peers Sebastian Knauer

Countries citing papers authored by Di Luo

Since Specialization

Citations

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

Fields of papers citing papers by Di Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Di Luo. A scholar is included among the top collaborators of Di Luo 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 Di Luo. Di Luo 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

Salamin, Yannick, Charles Roques‐Carmes, Di Luo, et al.. (2024). Photonic probabilistic machine learning using quantum vacuum noise. Nature Communications. 15(1). 7760–7760. 12 indexed citations

Levy, Ryan, Di Luo, & Bryan K. Clark. (2024). Classical shadows for quantum process tomography on near-term quantum computers. Physical Review Research. 6(1). 34 indexed citations

Luo, Di & James Halverson. (2023). Infinite neural network quantum states: entanglement and training dynamics. Machine Learning Science and Technology. 4(2). 25038–25038. 3 indexed citations

Luo, Di, et al.. (2023). Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models. Physical Review Research. 5(1). 31 indexed citations

Luo, Di, et al.. (2023). Variational Neural-Network Ansatz for Continuum Quantum Field Theory. Physical Review Letters. 131(8). 81601–81601. 7 indexed citations

Luo, Di, Chunfeng Huang, Shizhuo Li, et al.. (2022). Fiber-based quantum secure direct communication without active polarization compensation. Science China Physics Mechanics and Astronomy. 65(12). 48 indexed citations

Luo, Di, Chenxi Huang, Bryan K. Clark, et al.. (2022). Simulating quantum mechanics with a θ-term and an ’t Hooft anomaly on a synthetic dimension. Physical review. D. 105(7). 5 indexed citations

Lee, Chia‐Hao, Di Luo, Chuqiao Shi, et al.. (2021). Probing the Strain Fields of Single-Atom Defects in 2D materials with Sub-Picometer Precision. Microscopy and Microanalysis. 27(S1). 1944–1944. 2 indexed citations

Carrasquilla, Juan, Di Luo, Ashley Milsted, et al.. (2021). Probabilistic simulation of quantum circuits using a deep-learning architecture. Physical review. A. 104(3). 26 indexed citations

10.

Lee, Chia‐Hao, Di Luo, Chuqiao Shi, et al.. (2021). Deep Learning Enabled Atom-by-Atom Analysis of 2D materials on the Million-Atom Scale. Microscopy and Microanalysis. 27(S1). 904–906. 1 indexed citations

11.

Luo, Di, et al.. (2021). Protocol Discovery for the Quantum Control of Majoranas by Differentiable Programming and Natural Evolution Strategies. PRX Quantum. 2(2). 22 indexed citations

12.

Luo, Di, et al.. (2020). $(1+1)$-d $U(1)$ Quantum Link Models from Effective Hamiltonians of Dipolar Molecules. 125–125. 2 indexed citations

13.

Luo, Di, et al.. (2020). Framework for simulating gauge theories with dipolar spin systems. Physical review. A. 102(3). 36 indexed citations

14.

Lee, Chia‐Hao, Di Luo, Chuqiao Shi, et al.. (2020). Deep Learning Enabled Strain Mapping of Single-Atom Defects in Two-Dimensional Transition Metal Dichalcogenides with Sub-Picometer Precision. Nano Letters. 20(5). 3369–3377. 107 indexed citations

15.

Luo, Di & Bryan K. Clark. (2019). Backflow Transformations via Neural Networks for Quantum Many-Body Wave Functions. Physical Review Letters. 122(22). 226401–226401. 108 indexed citations

16.

Lee, Chia‐Hao, Chuqiao Shi, Di Luo, et al.. (2019). Deep Learning Enabled Measurements of Single-Atom Defects in 2D Transition Metal Dichalcogenides with Sub-Picometer Precision. Microscopy and Microanalysis. 25(S2). 172–173. 2 indexed citations

17.

Carrasquilla, Juan, et al.. (2019). Probabilistic Simulation of Quantum Circuits with the Transformer. arXiv (Cornell University). 3 indexed citations

18.

Luo, Di, et al.. (2018). Beyond many-body localized states in a spin-disordered Hubbard model. Physical review. B.. 98(11). 15 indexed citations

19.

Luo, Di, et al.. (1983). EFFECT OF TRACE SULPHUR ON HOT PLASTICITY OF HIGH SPEED STEELS. Acta Metallurgica Sinica. 19(4). 117–120. 2 indexed citations

20.

Luo, Di, et al.. (1983). SEGREGATION OF S AND P ALONG GRAIN BOUNDARY IN HIGH SPEED STEELS AND CLEANING ACTION OF RE ELEMENTS. Acta Metallurgica Sinica. 19(4). 121–126. 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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