Erika Ye

787 total citations · 1 hit paper
9 papers, 486 citations indexed

About

Erika Ye is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics. According to data from OpenAlex, Erika Ye has authored 9 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Atomic and Molecular Physics, and Optics and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Erika Ye's work include Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Erika Ye is often cited by papers focused on Quantum Computing Algorithms and Architecture (5 papers), Quantum Information and Cryptography (3 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). Erika Ye collaborates with scholars based in United States. Erika Ye's co-authors include Austin J. Minnich, Matthew J. O’Rourke, Mário Motta, Fernando G. S. L. Brandão, Garnet Kin‐Lic Chan, Chong Sun, Adrian T. K. Tan, Nuno Loureiro, Amir H. Atabaki and Ningren Han and has published in prestigious journals such as Journal of Applied Physics, Nature Physics and Optics Letters.

In The Last Decade

Erika Ye

9 papers receiving 473 citations

Hit Papers

Determining eigenstates and thermal states on a quantum c... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erika Ye United States 6 381 318 47 45 35 9 486
Crystal Noel United States 9 439 1.2× 447 1.4× 57 1.2× 43 1.0× 38 1.1× 17 586
Johnnie Gray United States 9 365 1.0× 406 1.3× 78 1.7× 31 0.7× 17 0.5× 16 550
Andrew Risinger United States 8 407 1.1× 384 1.2× 48 1.0× 43 1.0× 32 0.9× 11 514
Lorenzo Leone United States 15 412 1.1× 443 1.4× 103 2.2× 23 0.5× 20 0.6× 20 633
Daiwei Zhu United States 13 692 1.8× 598 1.9× 82 1.7× 74 1.6× 58 1.7× 30 900
Salvatore F. E. Oliviero United States 15 412 1.1× 452 1.4× 106 2.3× 23 0.5× 19 0.5× 19 639
Debopriyo Biswas United States 6 383 1.0× 355 1.1× 44 0.9× 42 0.9× 29 0.8× 10 477
Jin-Guo Liu China 8 338 0.9× 285 0.9× 51 1.1× 58 1.3× 35 1.0× 14 530
Volckmar Nebendahl Austria 5 290 0.8× 283 0.9× 28 0.6× 31 0.7× 25 0.7× 6 367
Laird Egan United States 6 495 1.3× 378 1.2× 49 1.0× 64 1.4× 42 1.2× 9 591

Countries citing papers authored by Erika Ye

Since Specialization
Citations

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

Fields of papers citing papers by Erika Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Ye

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

All Works

9 of 9 papers shown
1.
Ye, Erika & Nuno Loureiro. (2024). Quantized tensor networks for solving the Vlasov–Maxwell equations. Journal of Plasma Physics. 90(3). 6 indexed citations
2.
Ye, Erika, et al.. (2023). Quantum algorithm for the linear Vlasov equation with collisions. Physical review. A. 107(6). 5 indexed citations
3.
Ye, Erika, et al.. (2023). Quantum Algorithm for the Linear Vlasov Equation with Collisions. 56–65. 1 indexed citations
4.
Ye, Erika & Nuno Loureiro. (2022). Quantum-inspired method for solving the Vlasov-Poisson equations. Physical review. E. 106(3). 35208–35208. 20 indexed citations
5.
Motta, Mário, Chong Sun, Adrian T. K. Tan, et al.. (2020). Publisher Correction: Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution. Nature Physics. 16(2). 231–231. 5 indexed citations
6.
Ye, Erika & Austin J. Minnich. (2019). Ab initio based investigation of thermal transport in superlattices using the Boltzmann equation: Assessing the role of phonon coherence. Journal of Applied Physics. 125(5). 4 indexed citations
7.
Motta, Mário, Chong Sun, Adrian T. K. Tan, et al.. (2019). Publisher Correction: Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution. Nature Physics. 16(2). 231–231. 2 indexed citations
8.
Motta, Mário, Chong Sun, Adrian T. K. Tan, et al.. (2019). Determining eigenstates and thermal states on a quantum computer using quantum imaginary time evolution. Nature Physics. 16(2). 205–210. 422 indexed citations breakdown →
9.
Ye, Erika, Amir H. Atabaki, Ningren Han, & Rajeev J. Ram. (2016). Miniature, sub-nanometer resolution Talbot spectrometer. Optics Letters. 41(11). 2434–2434. 21 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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