Guo‐Ping Guo

12.9k total citations · 1 hit paper
251 papers, 4.2k citations indexed

About

Guo‐Ping Guo is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Guo‐Ping Guo has authored 251 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Atomic and Molecular Physics, and Optics, 115 papers in Artificial Intelligence and 100 papers in Electrical and Electronic Engineering. Recurrent topics in Guo‐Ping Guo's work include Quantum and electron transport phenomena (130 papers), Quantum Information and Cryptography (93 papers) and Quantum Computing Algorithms and Architecture (63 papers). Guo‐Ping Guo is often cited by papers focused on Quantum and electron transport phenomena (130 papers), Quantum Information and Cryptography (93 papers) and Quantum Computing Algorithms and Architecture (63 papers). Guo‐Ping Guo collaborates with scholars based in China, United States and Poland. Guo‐Ping Guo's co-authors include Guang‐Can Guo, Hai-Ou Li, Ming Xiao, Gang Cao, Hong-Wen Jiang, Tao Tu, Li Wang, Xi‐Feng Ren, Guang‐Can Guo and Gang Cao and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Guo‐Ping Guo

233 papers receiving 4.1k citations

Hit Papers

Correction: Corrigendum: Ultrafast universal quantum cont... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo‐Ping Guo China 33 2.5k 1.5k 1.5k 1.1k 534 251 4.2k
C. H. W. Barnes United Kingdom 31 2.5k 1.0× 1.2k 0.8× 690 0.5× 1.2k 1.1× 667 1.2× 223 4.1k
Hong-Wen Jiang United States 30 2.4k 1.0× 1.6k 1.1× 476 0.3× 647 0.6× 259 0.5× 68 3.3k
Hai-Ou Li China 24 1.3k 0.5× 1.0k 0.7× 456 0.3× 692 0.6× 310 0.6× 153 2.7k
Markus Brink United States 20 1.9k 0.8× 1.2k 0.8× 1.9k 1.3× 1.7k 1.6× 978 1.8× 38 4.6k
Hajime Ishihara Japan 30 1.8k 0.7× 514 0.3× 540 0.4× 569 0.5× 1.1k 2.1× 262 3.1k
Tjerk H. Oosterkamp Netherlands 27 3.7k 1.5× 2.0k 1.3× 405 0.3× 1.3k 1.2× 919 1.7× 79 5.4k
Yiwen Chu United States 23 2.5k 1.0× 880 0.6× 1.1k 0.7× 1.4k 1.3× 442 0.8× 45 3.4k
Sven Rogge Australia 29 2.8k 1.1× 2.2k 1.4× 629 0.4× 792 0.7× 369 0.7× 132 3.7k
Guang‐Can Guo China 38 4.7k 1.9× 728 0.5× 4.7k 3.2× 316 0.3× 300 0.6× 248 6.0k
Robert M. Westervelt United States 38 3.3k 1.3× 2.0k 1.3× 368 0.2× 1.1k 1.0× 2.5k 4.6× 122 6.5k

Countries citing papers authored by Guo‐Ping Guo

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Ping Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo‐Ping Guo. 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 Guo‐Ping Guo. The network helps show where Guo‐Ping Guo may publish in the future.

Co-authorship network of co-authors of Guo‐Ping Guo

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

All Works

20 of 20 papers shown
1.
Wang, Yunjie, et al.. (2025). Demonstrating a universal logical gate set in error-detecting surface codes on a superconducting quantum processor. npj Quantum Information. 11(1). 1 indexed citations
2.
Jiang, Tianyi, Xiang‐Xiang Song, Haiou Li, et al.. (2025). Spin-flip two-level-system-induced anomalous magnetic field properties in thin-film superconducting resonators. Physical Review Applied. 24(3).
3.
Liu, Huanyu, Cheng Xue, Tai‐Ping Sun, et al.. (2025). Simulation of open quantum systems on universal quantum computers. Quantum. 9. 1765–1765. 1 indexed citations
4.
Cao, Gang, et al.. (2025). Switching Spin Filling Sequence in a Bilayer Graphene Quantum Dot through Trigonal Warping. Physical Review Letters. 134(3). 36301–36301. 4 indexed citations
5.
Zhang, Haochen, Lei Yang, Xi Jin, et al.. (2024). Accurate Modeling of GaN HEMTs and MMICs for Cryogenic Electronics Applications Utilizing Artificial Neural Network. IEEE Journal of Emerging and Selected Topics in Power Electronics. 12(6). 5661–5671. 5 indexed citations
6.
Lin, Ting, et al.. (2023). Coupling and readout of semiconductor quantum dots with a superconducting microwave resonator. Science China Physics Mechanics and Astronomy. 66(3). 4 indexed citations
7.
Huang, Jixiang, et al.. (2023). Characterization and compact modeling of short channel MOSFETs at cryogenic temperatures. Solid-State Electronics. 204. 108637–108637. 5 indexed citations
8.
Xue, Cheng, et al.. (2023). Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications. Quantum. 7. 1127–1127. 1 indexed citations
9.
Li, Hai-Ou, et al.. (2023). An iterative polygonal micromagnet design for spin–photon coupling on silicon. Applied Physics Letters. 122(5). 2 indexed citations
10.
Wu, Yu-Chun, et al.. (2023). An improved QFT-based quantum comparator and extended modular arithmetic using one ancilla qubit. New Journal of Physics. 25(10). 103011–103011. 9 indexed citations
11.
Song, Xiang‐Xiang, et al.. (2023). Tunable pn junction barriers in few-electron bilayer graphene quantum dots. Applied Physics Letters. 123(18). 4 indexed citations
12.
Xue, Cheng, et al.. (2023). A quantum feature selection framework via ground state preparation. Physica Scripta. 98(11). 115121–115121. 2 indexed citations
13.
Zhang, Haochen, Sirui Hu, Yue Sun, et al.. (2022). DC and low-frequency noise characteristics of GaN-based HEMTs under cryogenic temperatures. Journal of Physics D Applied Physics. 55(43). 434003–434003. 14 indexed citations
14.
Liu, Xiaojing, Yunkun Wu, Xiao‐Zhuo Qi, et al.. (2022). Near-Field Modulation of Differently Oriented Single Photon Emitters with A Plasmonic Probe. Nano Letters. 22(6). 2244–2250. 7 indexed citations
15.
Moser, J., et al.. (2022). Sliding nanomechanical resonators. Nature Communications. 13(1). 6392–6392. 17 indexed citations
16.
Wu, Yunkun, Xiao‐Zhuo Qi, Liu Lü, et al.. (2021). Near-field modulation of single photon emitter with a plasmonic probe. Applied Physics Letters. 118(10). 8 indexed citations
17.
Lu, Wei, et al.. (2020). Entanglement area law for shallow and deep quantum neural network states. New Journal of Physics. 22(5). 53022–53022. 8 indexed citations
18.
Song, Xiang‐Xiang, et al.. (2019). Tunable parametric amplification of a graphene nanomechanical resonator in the nonlinear regime. arXiv (Cornell University). 7 indexed citations
19.
Peeters, F. M., et al.. (2019). Transport characteristics of multi-terminal pristine and defective phosphorene systems. Nanotechnology. 30(45). 455705–455705. 7 indexed citations
20.
Gan, Haibo, Zongzheng Du, Liang Zhou, et al.. (2018). Magnetoresistance Anomaly in Topological Kondo Insulator SmB6 Nanowires with Strong Surface Magnetism. Advanced Science. 5(7). 1700753–1700753. 15 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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